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Daniel Fernandez Sotolongo 91bda89512 Documento final + publicacion
2025-10-13 15:09:40 -04:00

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<title>Crops and climate change: progress, trends, and challenges in simulating impacts and informing adaptation | Journal of Experimental Botany | Oxford Academic</title>
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)format("woff2");unicode-range:U+0000-00FF,U+0131,U+0152-0153,U+02BB-02BC,U+02C6,U+02DA,U+02DC,U+0304,U+03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<meta property=og:image:alt content="Schematic representation of methods used to combine crop and climate models. Solid arrows show climate information; dashed arrows and lightly shaded boxes show crop growth simulation. Solid boxes show numerical models; boxes with dotted outlines show model output. Areas where boxes overlap indicate models that operate on commensurate spatial and temporal scales.">
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SE5t7Lu35/ne3nb/WY2kPcrnHkh4V2HwbuYzXzsePLsSbyWD6Wkg2zidD8Vr6gvugRxg93dBGkKX1qACtR9FWIFUlL6IKfF20lUC52qqlpSDqBgEr3oiaCrfdqfS2W7aAhrcuUhy1aoazTkFZtbKK4SLDrbpBAF5NRi3hdixfu/a6VRPIIxBWQ/C9pLB6IxhBywym9kq+HLUKqWVlZarJC3eywCJSBbAP5EgKgX0ALyK+pEi4XUlxXn4hLiluV1oS8bfA/lBxXihb8vuSBHjjk0z+UEkhfrpq2ZyZq55f89E7B7at3L5vz5wxE56djdu+ev97u1fsPYVfX7jq2REPPRu5+cSWl0/6Pj8TuPjB4lemPD100mMTNj5Zcdx74ID8HbAGiWhYww/iTPEQcqBU1ALdgNqjco1HaqGpLioAV9RkU12sJNRKcBSoJXAp29ilbKrDShm1/5hTo97pVn0J01PMbjUT3hVo7wrcalt4l6cpbQdgi88JtNuEtBZAu9q2QPbsSs8OtWyVwVxFSaHsUdNaAK+SZbhKzyij/AGeRMJJGdgnhbLzShmzOuHiPGCOFwdwLnycxT7NavIhZd2wbTNnb932/IwdC/rd1b1vnxV9HuOODIuX4ZHbsLR9G6mn9+/o0/fO7v2FnrfP3PHqvO6ztm2bde/jj/a+896hQ3vWpwtjul17YecdMyu2L+w+s2Lb7Psef6z3XfcNeawX5SGPHm+4KPwmHgT+5aMIeh5Fk6nnSKdMzJY0V6m2lYBdxZRdaqYTvEIm9ZMtQUsy3WohsMNur1PsbtVLOQPes4QqjgRqwpcphXLMkp6d6wbOKHaPklOmeGVVTikDPmUnw1dSypS28i4k2ZNyb9AUCXSHaRBwCzTGhXG7kojPFAjlO3EoO4cxpxSbJK8vUNoZvkeZ9PgzWx/pdnD7qoP9Rz6Fb71125QPzz5y15EnPiKkas3s5ZPJhuC2CePH3xoe8reeg/HcYcoz45d2f+WfO2f3W9nzPjJtxqaG7VfGdrvtq6rxL4zCFclTuEGDlz7Qpm/nW/qPRMwGnxCCKM58eSH15Lobx4rIfDinuetmrpz6ccNrP4FX+oUg/nIkWQrPmk1u4FZKTyEZeRFWPIypFmcdZR51KcWpuDQgcbzJ7U0KmPLyudmTfn4+b9k+C17c+5m82ZMucvd9hTfjXrdPHkWKyde9ybPkmx2DR9/1Bu6l7TUPnl/a9Pl8repofH47D2iiFeeXJqWCQVqxKW/tPq7fhkfzZ12a8Mwvs8i68fgXXJR1Eg/DLXqMvpPsIEN++JI8QV65E56dzj3C94YY40QhBGGZBlFXkcLVxkTNNMCzqCLHPAZdq1TkI3xuQPSabDjfm16ICy1rrLhVIfng8NS9sWnvCm1Xj8L9yD+eLh9AfnkYZ5HvBmAfpeFetEwoFt5ENtSTRU5TRMWWOkUMRxGm3g1ZwelhRC8xTx2dvUix1ipcmHJSEcJRi5V+ZjHB16wWegkCK1AdGgtKgjKgBn9QDsn34lV78Sry5F7u4Z24gvTdSYrx+xofM8hZXIw+B+yQixRzUYzXZW6hBKsicNRqUGum1AaYywMXl/GwsOuxuz+buXDbi48f68Selctlcg7uTbC2bEqPiqU6+sKKUKQi8Cy8TJ+tisb+/Ln4ey5z9Wr6t0sBw4xHJwBFtEJRs4FgjAuGI0CDdAijgwWGUfwUpCwtG3PTTWPKHmnTtWubws6d4Xmehpm8G2TIg4YAhKIyhF1oSwdwBHu4wRvjW6ZJN145xXDMWPAPVvAPDkAWHVDURheWJcO7UiLS2Q6cwHnNiapmYE6G7iVVm1DGlKHE7YmEPV6/mwtlc17m4kplZr2msWd//OEsf/Zi3bld8xfOn83PWvLCDI7r9Qe+Gbcnp8jhn8k+chCX4KKL509/g4t++Lj2rCajHbDBT8XdSEKdUVSkfouDXVUikTMDWSaAXLWq4KwD1Eh1QMSgA2bYlyCC0DjwQByCC4l559wIqMMOzpOxV7hj+5Grdwon4PkDweQjQHsAPYWidkq5BSiniq/64MLH08f6ENXAZMaEADAh4FZlWESCdSWZfkGygRrKEr2U7bCFFPhUDgBreAt1gxbAmYqjTPHJqiSzUFGcw3yfBYOSlmDDyfkHYv7T9y6Sn8hk7vP62/HlUb0XjF2wRuDfvfyR+jH5mPRfPZtrM31T7zHLNizS+PNww0X+Cuw/D81E0Vy6f4FKLpduBXBpQTSFkuKBe54Ues+TZAFsZstNgRBpp6LNZxAZsACFDv6wghlGULPhnZsiinSQdEtMDR9CoGBLyczJZSHQBthAyQaPLyuZZYrHo6Q3hwihkgiQ5aZUhQxPb6IIQcjKeXjvqmfnvLB++cKFM1c1TFxSFX/n+IUpT06c2YDIUNKAnxu7YNHM6fO41dycMRjNH/36t5+9PSjaOk+ZfvDfZ0FfS0BmPUC/reCl+qGoxdCKGLJZOEeBIgDoleoYBAffZalV7GGqsAofjpqZqzBLwBgLg6wW6jXAqQFBVFNwmcLJICqqLzgiA9gDnYHkw1TCLTp07NhechM+lIR7juB/qS9bTd7APVdzx1pSOawFG7oR9pSBVqBoWkIOaQk5uJgczHUxvzXNBcz3m4H5LZhKYUedwfZk4HamBpm7rL/8G0PKrkKn4qwWVY/jilPxViPV6S0sxJVOl8erA1UMfyt7og5/GsA3JVlW3TJVOyuISHUkM4WLtMCaYELZLvDUoHY8CMXj94Gt5q3dKS8d//zyTbMm3dZ2xV3chXhl66fmHbnw22c1/8HTp01X1i1TS1rmcbWvkrFdyJVz50m8lvqNWUBzuqgiHwpSOXiQ5i40v2Hi62L2Fh4Kxew8kJrNSPWDGKxhmiOkAbUuoDYEv9P8sHvR7imju25BMYOLKZaVycGNckEOkmBKbBiVGmpGfcss3Bc/EMz+pAH5xh7Z//V/j58g9XtfmjRtyYsTB23O5G7ojpfhCnGDcPn8LPKf0+fJr/jm72Nn9qxcVTWmD7Ohe0CfckF2EvhuzcdQp0l1iHoY6k8QZKwM7Gi+G4fwPfwn8a1vc/3F5PK/X90jJlOcNQr44WS+JAhYfgKK+ilH0gyI1Uqqi+UG/RbgSC59dGvGkRTgiEQNjVocpF0tgB8euMyn9+zAIIrR87Nlz5sW3p+WFXQx6wumgWg9CKSdK6u8C3638oA9l/0ZXTGbo4DUY/Asm/clhdsx3o16fswjoy7WVP849tExsxs+PBmvWj5zxop1V5+ZfXb2gidHzMXzx+9v22bH8D2ffLJnxI42bf854a1z53HHyy8smTJ5LV46cv78s4vmshgypKGBv8xoz0H9dU/q4HVdyAZd8KXZqS74KOW5jHLQdSWZEazIzEDVPCCVih9wt93H6EzzAdvlMiVbVhCjrTOosUf2u5HIHEwpRYyFWNOHUk0hhox8f94nV4hCXs/J//Z3W4ctg5/dN/TNJRMHbsjZOGnyCv79ZRemkrdIXTvSl0wS1wvfXb2t19Tzy1bWjOl115vf7EOMnjkQk0cIt0JM9qKyJlHZgakZ06jsY47TymoLiksrMfgpXkDU6mQWEhujtDdxNUeL17h52Oa3GPGbQ60Al/SGtc3IQ6OenS4p0yW9BjBRRHdlkeh0QrSCxS1FqhMW9+lgJWa22d0yZV8TyMIn1m/FwEtIW97AMMLvxvJgD3egd/jJwl1gD4AfOIwKEmbA3KIfi/47+HD8BW4M13kZnnyQkPhByrNyvIT/jP8Xq/GkaihIqGPQQ4DNm4tUSwL9YHiV893q9/Pd8JLNm/GmLVu0eDYHHeTPCHdrawvN1y4tsQBE8M/hVsaf4vscrMYS5veTOcvo2nc3/JcfD/qXDLY3FkWzqLzSrXok9wt1UT+L5H4WybOb6p8d9C8lrNpA/1oAM21u1aPFduaaaFSI8S5/eiZNbzyyanGDsUkMEar+dBC1ZGNWRxUTGOzCEO864y5Y905+r1FMupv7+s23Tr004s4qLnzPzF5PDxs6tb9WWxIGvHTkPXXnjuH3l09Y0GvuoBHDJgwfUM9p1Sag7Ulyk1Qrroa41w29r+EzxR1RMyABZlitTKxTwkVqgalO6VqkBuBXqEgVaP57C8t/9ew/361mafkvzV5u1aPMnqsijTJOpaNb6VytpnmvKKnV8KayU8fO3oIo/MxakLUgJAHQK0Ox1LSOnTqz+ghucs1CUD7Ve9wSuJMl77YJnlBBUbiUMs3sUS1B6tltkEUrhWVq1zIGh4BpqRhwkODhJXDqLPnLK23noY4rwEvUoD0omC1wJskj0HcBlh5yuRI19i7YS/k73n4WT710BQ95w27/ZNe+knYL73phmdc16cCw+5/rUexdPnqR5CVVJPouORqz2Zfi/BMP7uqY2/mDYVdJeSX3sPP+fh1H5uDC9l2fWYPPYi/efekceZB8+yv5fnvvB77/YCvmVxR0idd+dy6GZ+PyI2Te75fJ8prWobH54fN429kXyocOsuA/Mn6iOggZtZgBccQEyKQ1iiIqJz7CgklMMiMM7k+iodBWRJUOYooZ+EBjXARAeYgP8t4gn8613s7deGhhfOP8d/Cly6JytQeeSmZxqVwFy+XhpzCP5WdJKBM9pq2iusDTspiVCZ42kMSWCtClspimu2yAWcOKS8vfbfAujUYX0VZH63NqmkvLcNQkl1YKCsjwVsn0KCLdnBxsGkhygxBE3K3AgLUAHKzAZ368NG7I+Pnke3IEd5qzjnxFqnH2s6sXLSHfiMrB6qEbCoJVzx08t2HhZGxa++zwiSPAzidArPwE7DUd9dEqmaoXaPCyypY3AHhJpOQAcojaRXrPbqGGm8HIcQMBblagpKXdALwzh1ncTHKDCoqpejZS7AHlQoFQIWgNl4F9HqpDEUkIZaEJL2Lrzu9xcqAmZduqPScORze/ml6TRs7/RAh5l1ux6D1cvJXEv31jPfn52uIfyfcvxr67hsdQGVP+Hwb+25AftdG5bze476csT2J7tNtYvYSmyyZgc4A5MMpKwRMADCOY8mkcKynm8kMVeN1+nLMJbyKfHjx17OwfdbXnRGU7OfbuwOPk2CvcBkiYG3pfxl6O+ke6/u1s/e766hZjdQFkL2pqJtKN2LXCg01Ll1kqbYFUGkKWljfrybKWKGuvCn55/EZuQnw+94WobCStN8TrN2h+ma5bBOtaUFdt3cY1zSJb08wnUtU/rakvaLtuwQp+TrwD91h8A13MuSE+TVtrMujGGdCNTDQMaWUq2UASVriwslTPaoZEJimQTkFFUqOqO21GjkqVIgXemcJRH0t9fJD6MH1nSauQTl1SkswKVBrMBOEEQlwwm+P9mrLIwZKgDAoDTmcymGjSNzgps7odOVtzBJ87MPylErKTc99F/lCi5OJqbtl0fCd+sq4WB8kvpGHCf8mXbcpw9/XxC08O24aLdR6KZia7Lrp3MGnegfYNeCvjIt8oOWqnXJgGJAh/wE+mSIbMaFOE5rPAxGrubE1NPFtUaES+2oPbEh+k8XE3/JjA6gDBJjKjxQD6eB6eRl9i4om7q6m70f62BPLK9+FvXXSvDqSJOio4EvmMmT3KrSUwtkQCY4Un0tyYJiTg41EiJyyFBRgOLameP2PCclxz7cSnv+Jl0xatmitYr105cfGsoWeiyHjU5joeCZHmjGGsYLicZdkaCThiAXBuokyZ+338He7Jf8fro8CZNtyH8Wn1p7itVcSX0Od0WEc0PDXlvM4fyeBPlGcazIsWSlCC8f6KGg4eevXHRtuQejKf3Fd/lmSNNNm1y9BM1e5g2kkZJQERklu1OBh+Y36CVpw5wWpjyJcSFuUt9jKdNAum4vYCdV654jI+g89cqfaQ7OUk5BWVaw8JL4PkS7kh1x4XyuOb4u821TcLul3npdRkV42manGrvLYjaqGqBbHaicLLiqnM4LBZ3wamWodl4MCXB2riIVh6jfDE1R7Co9c2Mtw8vuGiaAHblcF6O6CoE+nwi7nzdHPCTj2wrsetJusqQ80y2QMLOcWm3lvwgN/mmAGWUpP0lJaw4pJp/DJse20nti1dSi4rr5Hfl791qmrv+/yH+948wXPrh53E3V6tIAc+eqiW1GyvwGWfXyPnsSs+HPPYT374Xffj1ayG4AVU1cSjQRiKWWzMFi28AfPpHhVbWLG6VRdF2TYG9ZHqtcmNQVLw+4RQMAVrgTE/WMGlXMIu8scfpAL3X/vyy0vIelH5z7unv40f5j5+cf6M9TzsY0SDVZSAX37IPe/Vc+gUg1+ZlF8htoEk2ECSljXTvTjDag6N3EmgMqLb46A4yypD2ozUFI+Brpry0CSaciWdj1kJNo6gbFSAjXMmYWEm+eCOHpSX+0/gce/zH+zfleDlDlLz0cBT5F993p/0Hw/l51VyjvET44DGz+3Az3eZDQTQI7q2WTVto0gk5nAxljooS5MTntoVpubg1VlKq2Ze6pvtoG2KKNMas+qg2mgpU1wMkwSasVsyYX8IN2H5dvzV79iyfCbuc5wcJDtw/pKKLeXkM1E5VzvvWDi+ys7dE6/kLqyYOncp1my3B8SaMax+NgJFQwk/F2petwEKogEXvRfwUhySX6TYa9VUm9F1g4tUrbfmC6tZ8M4bZkUzUypkD4LVlRFiNh2gBRl7VlljpUzvpYGY/tRJo1qf16PmnX+Uv7Tq0B/nsffMqh+er9m+5oVNq/FTHzxGLn63itQvxq/MWjO19pmy7v8qf+38uPcnzVo9bWT/KUOnvDxS/WjsUY3GtiCb1QyXgkVKjfUNnpbEaGKmSLVUAFGRVTBFCNhRiaEuiVbHGrM2Wk9vKwwlrQ+Ino0br/4ketjzFwEPd8DzPagURd3M/+m+FFSAZa2aO6XNbwvtJdm0ZJU13N3M3GlwYOUJuJCQC2ejRfvf2PKP12swaTgTuUS+wR/y5+rzNu58YyP/eX32cXLVzcECmGJuIc5qN0GdNsQx2N1YukES82eU5xYKtNNP4I1488n4N7Dna/cJKoQ8jDqBD/+R0oAlzQqjdodMO+v0cTEMnAG3nCBGD3hWDU0ztAG5VM0/ftnAKnbIrXiqnfANhave22n5T4voXVERC52KUK26/VdERa7e+/b9P/3Cvu6A+65q1UzvS9V7Oz/5y8daSmZ1KxZwUja3YoevF196CG7bIGpUmiTa3Ha5K50uByRp8LYxSYvCPZqr7QaQabY4XW6jo427OjlBlOCm3QG3Zc+fGt4YmOUx6lwRb6AU2BUo9QLPcL4JhzpV/zu9Fc56Cae0zPyqhmzaSU4HAuTdnaJSn1b9On+53qwc5L+BYJA7cuS1zzXdKwP5HGfxPE/3CuYIK9YC5qHxXIvitEqvClYWYyxY+y9kwWX4ExI5jwfhgV+RYvzxN2QtKefOcifjJ7nCeGE8m2sfPwpruGCNfWwGpI02AdKoA5YixVTLIhuVlWTSuwLI1EwlQK1dZ/BkPPUzYgV+x3O5z+tHxs9zmRoNfeD5k1kcLdTju8nAo7wGehmyVU1aBRk8iN5ziJTgIC12BP19+Bb1l/g/6r/kb14qzNi4+NpkHTssI0c5m/Qc2GYJq5iIEquYsNaRmWXvJhnZIHsHwCM664x3fNgwS4AjITniX4YnHThAjpr2lF+ZWA7Pbdkwk29v9IBQ8x4QFWhLhRusiMqVU/BdCzmKZ7I9dEbUamjxnC+iBWy2B1MtLBeTtIUBstBGAQaf4TY2YzIqOwHABoCYg5aaGjyZzNkszSu/fIdGZ1fuU97H7DTRk2qsKVGrtOGuuGA6vuHVA/u5T7mP463wV6SF9rdCwzC+nGW/qQZWk+rYRROiIuCeBH5F/fDVmt4Jn+DPRAJ/0xIBMbSf6xQM7BvjZGTVu3EqptJCmsaHyr58e5NIyGcMy4wADHxBuBe1gGfMaNY1hwDtplU5M+zD7GYtBTukI3x+uptieFp6aWX00hU7DRE2rZWeqyF5Hy090duQvKo3gGbmApCIutOzaf3eJyupoKM8LS75IJlVzLLi1ZpGNxmNohArhCYFZF/AH8rLbxw4KC0JZY3AuC42bvRjc/aOPTR+32kh72239fnKzR9UjRvQd33oRfIabl2xr/cjY4d0v391v30vE+fKfu6snnN2be376IN3nNXqn9SnZ4E/daIU9ISOj2xGKiZiPSaKAaPrhpVUrdTgZNjcaa+j5QajVagV+xNNMNFGcy8ZsRuqGNBdDgXX7bI8Mqvx55u8iRq/aVHVKLzg/DfVH4yyuHrHZq9YNn93DwnF31lIakncfZmcenEajuw4/q+3ju8A2T8EcrsIcstAD+m9GC/IyZvWWFug+7dLidqCme5f68W4nc1qCw5WW8hM1BbSylh1xKRjVE0IrMIgAcpiAog4aYfioXGfrnjzF/NO85Jhi9etXfLYCvNOcfyhp78g1zhv5sbf5332xrC571WH9h2b+ODA7UNwPuX5INj3z8BzF+g5oBEr5bnDKI3QWqiaTC+SGTYx0T2nNd0zIFJF0vrjgOitIAFwTOmwdT/duuAoYxCRYiqvldV5VCE50RwtBnQdoNie6hKnjWDIVNUGXTywf2TVDsvIw//8sap8jnL/A6/NK+eSnVdw0Qyu+CoaNw8X/7Lnw434lzUngYaBQMNvwHu/xn0v6wNIusqkSXWxJKtXpCm7lGh/WdksEsXWAV1dKL8DVtoTcnjLmAEYHS2IbOwywX3QliBrbZUGpGA28gZLmDAGTvni+VMX4iGhcsGj8yKj55Gfz5CLB7gW5nnjRpXjhuwt8SXkAonfs/lQj279TuAgHutcvO4foDsdQRDHJD/svx+K+hhWgp0rLjZHp8hhWryT9DKPj80jeGlXPBz1+ph6yaBePq/RNGZ1HwgOGoSVKISlO4+w7kzAlMfURmsydnx1746uXaxFJQ8++t13VfyrS0a+sV9eZRn26Jgl9b35V6l+DCZ9+F+BtykoBz2LogHK2wzQCAl2GOWx1mihG5QbmyypTgZNKULJ1LqgZrcqgW5IRazdkkojr9PF3E4lL9sCNJOQKMoGuCrrn6nZ4J5U5C9jNIjMF1F9KdVT+vxSbZzpOtUZfKHm8EhLxZWTz5y7afCE1+auHlm9/4e9q+bu7Nl7x9xyLi+OCxZNvHbu5K9D+o5cXr5g4HM4/NvuE5vwT+tOargSXP6XYA8yuqcROzBFop0l0dHoe7QZG5n5HkXWUKZZm4hRLbKskSM6mvqZSJYXuM6UxSQvqppyCPflq/CwkQ/OywPPsns1mRYv4d5/ZtTge+vjwPvFsKG/Q55A50xv1nvOrLdgstZFrTgxbJqYNLWwSVPawKOTpnZLk0lT1qPTJ0xhK4u1LoCrSux/Y+fOD3bsePW00OHaYeaHGw6Qu3F/WNeOkigX3KzMaNVkTu2bo7oYYGMQVLieMJWvQ66D3bDk2ixSi/FT4+Go1duZCGm44w287Q5m53tZu5Du6Oas4s43V5FvOxVXl5a0g421I7+Yb3lA2HftTnLUI9W37kK3yOQDPBHsIB87urG5fAxe2PVgQI2AtcV4q1GoKTUqNYurHsP3nycDcO2nZO44CdUPmoCHkI7xBfi/k8gsts56+NFbovE/HSXCPsspgLv01VjCWl8loav0bxYCnp/IYsBwHTM4kmhNhpqKyHjHZimBYYYbytC0J0NzQ0lOlm9T2TkMj5TBFElJov5fcdLSPWL2Q99i2VCtADVtcE1Mv7QONb2AKCYv3ClOOPZ1z3avj8dDpKonpz0xz7b3uzdvETpMXPTGvYPJ3HgBd2zc2Cl/j4e5QxfX1V8wbADokI16L+Vxggotn/5faT9uov2B67R/pzT1aKP6Cx3mrW+m/dT3DAA8UAz7cGkzQg4jqrJdpDTOCDXGTzbylpGInI6yJjETQbCkzZxmjfwB075c8gWWJ51fdoZc2rtt0eJXKhbN386lOjaRBeQ4cWy8tggcROyzL45Ev/iMYRQyWGjB9pSKBuk9Zzrp0sgeiJcAqo04SbG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<div class="volume trailing-comma">Volume 60</div>
<div class=issue>Issue 10</div>
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July 2009 </div>
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<h3 class=contents-title>Article Contents</h3>
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<a class="js-jumplink scrollTo" href=#9235577>Abstract</a>
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<a class="js-jumplink scrollTo" href=#9235581>Introduction</a>
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<a class="js-jumplink scrollTo" href=#9235586>Linking crop and climate models</a>
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<a class="js-jumplink scrollTo" href=#9235611>Progress in modelling and understanding the impact of climate change on crops</a>
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<a class="js-jumplink scrollTo" href=#9235666>Generating useful information</a>
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<a class="js-jumplink scrollTo" href=#9235681>Future trends and challenges: holistic impacts and adaptation research</a>
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<a class="js-jumplink scrollTo" href=#9235698>Conclusions</a>
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Crops and climate change: progress, trends, and challenges in simulating impacts and informing adaptation
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<div class=ww-citation-primary><em>Journal of Experimental Botany</em>, Volume 60, Issue 10, July 2009, Pages 2775–2789, <a href=https://doi.org/10.1093/jxb/erp062 data-google-interstitial=false>https://doi.org/10.1093/jxb/erp062</a></div>
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<h2 scrollto-destination=9235577 id=9235577 class="abstract-title js-splitscreen-abstract-title">Abstract</h2>
<section class=abstract><p class=chapter-para>Assessments of the relationships between crop productivity and climate change rely upon a combination of modelling and measurement. As part of this review, this relationship is discussed in the context of crop and climate simulation. Methods for linking these two types of models are reviewed, with a primary focus on large-area crop modelling techniques. Recent progress in simulating the impacts of climate change on crops is presented, and the application of these methods to the exploration of adaptation options is discussed. Specific advances include ensemble simulations and improved understanding of biophysical processes. Finally, the challenges associated with impacts and adaptation research are discussed. It is argued that the generation of knowledge for policy and adaptation should be based not only on syntheses of published studies, but also on a more synergistic and holistic research framework that includes: (i) reliable quantification of uncertainty; (ii) techniques for combining diverse modelling approaches and observations that focus on fundamental processes; and (iii) judicious choice and calibration of models, including simulation at appropriate levels of complexity that accounts for the principal drivers of crop productivity, which may well include both biophysical and socio-economic factors. It is argued that such a framework will lead to reliable methods for linking simulation to real-world adaptation options, thus making practical use of the huge global effort to understand and predict climate change.</p></section> <div class="article-metadata-panel clearfix at-ArticleMetadata"></div>
<div class=kwd-group><a class="kwd-part kwd-main" href=javascript:void(0) data-keyword=Adaptation data-google-interstitial=false>Adaptation</a>, <a class="kwd-part kwd-main" href=javascript:void(0) data-keyword='"climate change"' data-google-interstitial=false>climate change</a>, <a class="kwd-part kwd-main" href=javascript:void(0) data-keyword=crops data-google-interstitial=false>crops</a>, <a class="kwd-part kwd-main" href=javascript:void(0) data-keyword='"model integration"' data-google-interstitial=false>model integration</a>, <a class="kwd-part kwd-main" href=javascript:void(0) data-keyword='"modelling frameworks"' data-google-interstitial=false>modelling frameworks</a>, <a class="kwd-part kwd-main" href=javascript:void(0) data-keyword=uncertainty data-google-interstitial=false>uncertainty</a></div> <h2 scrollto-destination=9235581 id=9235581 class="section-title js-splitscreen-section-title">Introduction</h2>
<p class=chapter-para>Crops exhibit known observed responses to weather and climate that can have a large impact on crop yield (e.g. <span class=xrefLink id=jumplink-bib94></span><a href=javascript:void(0) reveal-id=bib94 data-open=bib94 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Porter and Semenov, 2005</a>). Since atmospheric concentrations of greenhouse gases continue to rise at rates that are both unprecedented (<span class=xrefLink id=jumplink-bib111></span><a href=javascript:void(0) reveal-id=bib111 data-open=bib111 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Siegenthaler <em>et al.</em>, 2005</a>; <span class=xrefLink id=jumplink-bib114></span><a href=javascript:void(0) reveal-id=bib114 data-open=bib114 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Spahni <em>et al.</em>, 2005</a>) and alarming (<span class=xrefLink id=jumplink-bib5></span><a href=javascript:void(0) reveal-id=bib5 data-open=bib5 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Anderson and Bows, 2008</a>), efforts have been made to understand the implications for crop production. These efforts are primarily based on climate models, which use spatial grids with resolutions typically of the order of a hundred kilometres. Such simplification of the spatial heterogeneity of processes has direct implications for the assessment of the impacts of climate change. Some of these assessments are performed at the regional scale (referring here to from tens to a couple of hundred kilometres—commensurate with climate model grids). In contrast, location-specific methods have also been developed, to account for the variety of climatic and non-climatic stresses on crop productivity often not observable at aggregated spatial scales. It is at this smaller field scale that crop models were originally designed to operate (for reviews, see, for example, <span class=xrefLink id=jumplink-bib110></span><a href=javascript:void(0) reveal-id=bib110 data-open=bib110 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Sinclair and Seligman, 1996</a>; <span class=xrefLink id=jumplink-bib126></span><a href=javascript:void(0) reveal-id=bib126 data-open=bib126 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>van Ittersum <em>et al.</em>, 2003</a>), resulting in applications in decision support (<span class=xrefLink id=jumplink-bib12></span><a href=javascript:void(0) reveal-id=bib12 data-open=bib12 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Boote and Jones, 1998</a>) and ‘discussion support’ (<span class=xrefLink id=jumplink-bib53></span><a href=javascript:void(0) reveal-id=bib53 data-open=bib53 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Hansen, 2005</a>).<p class=chapter-para>This review examines the use of crop and climate models in climate change research. As with the bulk of the literature, it focuses primarily on crop yield, which has the greatest impact on food security. By their nature, regional-scale assessments lend themselves more clearly to generalization than do local-scale assessments; hence the focus here is primarily, though not exclusively, on larger scales. The methods used to link crop and climate models are examined, including the implications of the disparity in spatial scale between these two types of model. Recent progress in modelling methods and in our resultant understanding of the impacts of climate change is reviewed. Questions are asked regarding how we can generate useful information on impacts and adaptation with the methods reviewed. Finally, future trends and challenges are identified, leading to concluding comments and recommendations.</p> <h2 scrollto-destination=9235586 id=9235586 class="section-title js-splitscreen-section-title">Linking crop and climate models</h2>
<h3 scrollto-destination=9235587 id=9235587 class="section-title js-splitscreen-section-title">Overview</h3>
<p class=chapter-para>Simulation models act as a surrogate laboratory. They are a particularly important tool for understanding climate change and its impacts, since only one physical realization of climate is possible, thus limiting the amount of observed data available for comparison with model output. (This is in contrast to the forecasting of weather, which can be tested repeatedly against observations.) A number of different methods can be used to link crop and climate models. <span class=xrefLink id=jumplink-fig1></span><a href=javascript:void(0) data-modal-source-id=fig1 class="link xref-fig" data-google-interstitial=false>Figure 1</a> summarizes the methods discussed herein (a more detailed review is presented by <span class=xrefLink id=jumplink-bib54></span><a href=javascript:void(0) reveal-id=bib54 data-open=bib54 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Hansen <em>et al.</em>, 2006</a>). The box labelled ‘climate model’ represents a range of models, from short-term local-scale numerical weather prediction to longer term simulations of climate change. These models are based on the same fundamental physics, and efforts are underway to carry out and present weather and climate simulation as part of a ‘seamless’ continuum, such that the commonality of methods across weather and climate prediction is strengthened and made more clear to users (see, for example, <span class=xrefLink id=jumplink-bib17></span><a href=javascript:void(0) reveal-id=bib17 data-open=bib17 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Challinor <em>et al.</em>, 2009<em>b</em></a>). For this reason, all model-derived climate and weather information is represented in this simple fashion.</p> <a id=9235591 scrollto-destination=9235591 data-google-interstitial=false></a>
<div data-id=fig1 data-content-id=fig1 class="fig fig-section js-fig-section" swap-content-for-modal=true><div class=graphic-wrap><img class=content-image 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" alt="Schematic representation of methods used to combine crop and climate models. Solid arrows show climate information; dashed arrows and lightly shaded boxes show crop growth simulation. Solid boxes show numerical models; boxes with dotted outlines show model output. Areas where boxes overlap indicate models that operate on commensurate spatial and temporal scales." data-path-from-xml=jexboterp062f01_ht.gif><div class=graphic-bottom><div class="label fig-label" id=label-9235591>Fig. 1.</div><div class="caption fig-caption"><p class=chapter-para>Schematic representation of methods used to combine crop and climate models. Solid arrows show climate information; dashed arrows and lightly shaded boxes show crop growth simulation. Solid boxes show numerical models; boxes with dotted outlines show model output. Areas where boxes overlap indicate models that operate on commensurate spatial and temporal scales.</p></div><div class="ajax-articleAbstract-exclude-regex fig-orig original-slide figure-button-wrap"><a class="fig-view-orig js-view-large at-figureViewLarge openInAnotherWindow" role=button aria-describedby=label-9235591 href=https://academic.oup.com/view-large/figure/9235591/jexboterp062f01_ht.gif data-path-from-xml=jexboterp062f01_ht.gif target=_blank data-google-interstitial=false>Open in new tab</a><a class=download-slide role=button aria-describedby=label-9235591 data-section=9235591 href="https://academic.oup.com/DownloadFile/DownloadImage.aspx?image=https://oup.silverchair-cdn.com/oup/backfile/Content_public/Journal/jxb/60/10/10.1093/jxb/erp062/2/jexboterp062f01_ht.gif?Expires=1761842668&amp;Signature=bWMSQ6rfqlBLstMSYYDp-meRRAp79SGMRTWnrYolFP~oIAXDf~A4cjDNT3SzLCwnBNkTSwh4oUPbzkPOXqycuwmCMrVucNhaZM-dk-ioYgGSSQ20eRyIwsXk75a6G6Ytcc1ewkICb3bjdk81Pa75BCWj~1S75KySFw-QyPU1hencS9bz9zvab7tpMRGMblaAWXAqxnQIg0lE~X92K6ZFo98gfh4TXwSbV4QlvLW-8d-B7kPXbMSoEqUMTr9B9a6AtaSpGtIGVjllyyv3MtMV31P-3aMwcxSiNccXdNYLn0S35apPXedSxUDPyvqZJWD7gHgiDo26icdCIljOfStfYg__&amp;Key-Pair-Id=APKAIE5G5CRDK6RD3PGA&amp;sec=9235591&amp;ar=575054&amp;xsltPath=~/UI/app/XSLT&amp;imagename=&amp;siteId=5304" data-path-from-xml=jexboterp062f01_ht.gif data-google-interstitial=false>Download slide</a></div></div></div></div><p class=chapter-para>Climate model output can be used with crop models either directly (<span class=xrefLink id=jumplink-bib79></span><a href=javascript:void(0) reveal-id=bib79 data-open=bib79 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Mavromatis and Jones, 1999</a>; <span class=xrefLink id=jumplink-bib27></span><a href=javascript:void(0) reveal-id=bib27 data-open=bib27 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Challinor <em>et al.</em>, 2005<em>a</em></a>, <em>b</em>, <em>c</em>) or via some post-processing. In the latter case, a weather generator (<span class=xrefLink id=jumplink-bib106></span><a href=javascript:void(0) reveal-id=bib106 data-open=bib106 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Semenov and Barrow, 1997</a>) may be used, and/or the change in climate simulated using a model can be applied to observed climate (<span class=xrefLink id=jumplink-bib140></span><a href=javascript:void(0) reveal-id=bib140 data-open=bib140 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Zalud and Dubrovsky, 2002</a> compare the two methods; <span class=xrefLink id=jumplink-bib113></span><a href=javascript:void(0) reveal-id=bib113 data-open=bib113 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Southworth <em>et al.</em>, 2002</a> use both methods). Results when using processed output are sensitive to the underlying assumptions (<span class=xrefLink id=jumplink-bib82></span><a href=javascript:void(0) reveal-id=bib82 data-open=bib82 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Mearns <em>et al.</em>, 1997</a>; <span class=xrefLink id=jumplink-bib78></span><a href=javascript:void(0) reveal-id=bib78 data-open=bib78 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Mavromatis and Jones, 1998</a>). Unprocessed climate model output has the advantage of being a consistent representation of climate, thus avoiding the need for such assumptions. The corresponding disadvantage is that any errors in the climate model may have implications for the simulation of crop growth. For example, climate models tend to overestimate the number of rainy days whilst underestimating amounts of rainfall (i.e. ‘drizzle’), and may also fail to represent the observed month-to-month variation in rainfall; some of these biases are easier to correct than others, and this can affect crop simulation (<span class=xrefLink id=jumplink-bib27></span><a href=javascript:void(0) reveal-id=bib27 data-open=bib27 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Challinor <em>et al.</em>, 2005<em>a</em></a>). However, model error may not be overly problematic: <span class=xrefLink id=jumplink-bib19></span><a href=javascript:void(0) reveal-id=bib19 data-open=bib19 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Challinor <em>et al.</em> (2005<em>c</em>)</a> found predictability in crop yields using climate model output both with and without correction of bias in the simulation of mean climate.<p class=chapter-para>As well as dealing with climate model error, post-processing can deal with the disparity in spatial scale between climate and crop models (see, for example, <span class=xrefLink id=jumplink-bib55></span><a href=javascript:void(0) reveal-id=bib55 data-open=bib55 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Hansen and Jones, 2000</a>; <span class=xrefLink id=jumplink-bib18></span><a href=javascript:void(0) reveal-id=bib18 data-open=bib18 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Challinor <em>et al.</em>, 2003, 2004</a>). The former uses a grid that is coarse relative to the spatial scale at which field-scale crop models typically operate. The disparity can either be ignored (<span class=xrefLink id=jumplink-bib120></span><a href=javascript:void(0) reveal-id=bib120 data-open=bib120 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Trnka <em>et al.</em>, 2004</a>) or it can be dealt with by downscaling climate model output (<span class=xrefLink id=jumplink-bib135></span><a href=javascript:void(0) reveal-id=bib135 data-open=bib135 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Wilby and Wigley, 1997</a>; <span class=xrefLink id=jumplink-bib68></span><a href=javascript:void(0) reveal-id=bib68 data-open=bib68 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Kidson and Thompson, 1998</a>; <span class=xrefLink id=jumplink-bib136></span><a href=javascript:void(0) reveal-id=bib136 data-open=bib136 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Wilby <em>et al.</em>, 1998</a>). With or without downscaling, it is clear (<span class=xrefLink id=jumplink-bib84></span><a href=javascript:void(0) reveal-id=bib84 data-open=bib84 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Moen <em>et al.</em>, 1994</a>; <span class=xrefLink id=jumplink-bib44></span><a href=javascript:void(0) reveal-id=bib44 data-open=bib44 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Faivre <em>et al.</em>, 2004</a>) that regional prediction using crop and climate models cannot rely solely on methods developed as part of the longer standing tradition of crop simulation at the field scale. Whilst the results of field-scale models can be compared directly with regional-scale yields (<span class=xrefLink id=jumplink-bib139></span><a href=javascript:void(0) reveal-id=bib139 data-open=bib139 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Yun, 2003</a>; <span class=xrefLink id=jumplink-bib87></span><a href=javascript:void(0) reveal-id=bib87 data-open=bib87 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Nain <em>et al.</em>, 2004</a>; <span class=xrefLink id=jumplink-bib137></span><a href=javascript:void(0) reveal-id=bib137 data-open=bib137 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Xiong <em>et al.</em>, 2007</a>), it can be argued that this requires design or selection of crop models that have a low input data requirement (<span class=xrefLink id=jumplink-bib96></span><a href=javascript:void(0) reveal-id=bib96 data-open=bib96 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Priya and Shibasaki, 2001</a>; <span class=xrefLink id=jumplink-bib30></span><a href=javascript:void(0) reveal-id=bib30 data-open=bib30 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>de Wit <em>et al.</em>, 2005</a>). An alternative is to take a field-scale crop model and make it applicable to the regional scale through one or more procedures, such as calibration (<span class=xrefLink id=jumplink-bib29></span><a href=javascript:void(0) reveal-id=bib29 data-open=bib29 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Chipanshi <em>et al.</em>, 1999</a>; <span class=xrefLink id=jumplink-bib63></span><a href=javascript:void(0) reveal-id=bib63 data-open=bib63 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Jagtap and Jones, 2002</a>), aggregation of inputs (Haskett <em>et al.</em> 1995), and aggregation of outputs from multiple subgrid simulations. This latter method can use either simulations sampled by varying model inputs such as planting date and crop variety (<span class=xrefLink id=jumplink-bib63></span><a href=javascript:void(0) reveal-id=bib63 data-open=bib63 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Jagtap and Jones, 2002</a>; <span class=xrefLink id=jumplink-bib62></span><a href=javascript:void(0) reveal-id=bib62 data-open=bib62 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Irmak <em>et al.</em>, 2005</a>) or else simulations explicitly carried out at the subgrid scale (<span class=xrefLink id=jumplink-bib119></span><a href=javascript:void(0) reveal-id=bib119 data-open=bib119 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Thornton <em>et al.</em>, 1996</a>).<p class=chapter-para>Estimates of yields at the regional scale can also be made by designing a crop model that operates on that scale. Such a model may be empirical, with weather variables used within a statistical regression of output from a field-scale crop model (<span class=xrefLink id=jumplink-bib60></span><a href=javascript:void(0) reveal-id=bib60 data-open=bib60 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Iglesias <em>et al.</em>, 2000</a>) or of observed yield data (<span class=xrefLink id=jumplink-bib72></span><a href=javascript:void(0) reveal-id=bib72 data-open=bib72 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Lobell <em>et al.</em>, 2008</a>). The use of regressions of field-scale crop models can introduce significant errors through the linearization of the equations for crop yield and/or an inability to account for subseasonal climate variability (<span class=xrefLink id=jumplink-bib25></span><a href=javascript:void(0) reveal-id=bib25 data-open=bib25 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Challinor <em>et al.</em>, 2006</a>). More generally, the validity of empirical methods under climate change is limited by the necessity of using data outside the range for which the models were fitted. Also, statistical models have no explanatory power to enable understanding as to why certain changes have occurred. This is one reason why process-based regional-scale (or large-area) methods have been developed.</p> <h3 scrollto-destination=9235604 id=9235604 class="section-title js-splitscreen-section-title">Large-area crop modelling</h3>
<p class=chapter-para>Large-area crop modelling resulted mainly from the need to simulate the impacts of climate variability and change on crops in a process-based fashion using the output from climate models directly (i.e. without any downscaling). The rationale for such techniques (<span class=xrefLink id=jumplink-bib26></span><a href=javascript:void(0) reveal-id=bib26 data-open=bib26 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Challinor <em>et al.</em>, 2004</a>) lies in the combination of the benefits of empirical approaches (low input data requirement; validity over large spatial scales, thus avoiding site specificity) with those of field-scale process-based models (validity under a range of environments, including climate change). The development of meta-models, based on existing simulation models, takes a similar approach, but for simulation at the field scale (<span class=xrefLink id=jumplink-bib13></span><a href=javascript:void(0) reveal-id=bib13 data-open=bib13 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Brooks <em>et al.</em>, 2001</a>). The focus here is on larger scales, at which the modelling methodology is based upon a number of principles.<ul class=list-simple><li><p class=chapter-para>(i) <em>A basis in observed relationships</em>. Where a response to climate variability exists in observations, the possibility of simulating that response also exists. <span class=xrefLink id=jumplink-bib18></span><a href=javascript:void(0) reveal-id=bib18 data-open=bib18 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Challinor <em>et al.</em> (2003)</a> examined observed relationships between yield and climate in India at a number of spatial scales, and concluded that large-area modelling (i.e. using the same grid as climate models) of that response was possible. Such empirical studies are prone to the risk of confounding causality (<span class=xrefLink id=jumplink-bib9></span><a href=javascript:void(0) reveal-id=bib9 data-open=bib9 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Bakker <em>et al.</em>, 2005</a>); this is the reason that subsequent modelling should be based both on physiological processes and at an appropriate level of complexity. The limited length of historical records means that studies of observed relationships have focused principally on year-to-year variability (e.g. <span class=xrefLink id=jumplink-bib18></span><a href=javascript:void(0) reveal-id=bib18 data-open=bib18 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Challinor <em>et al.</em>, 2003</a>; <span class=xrefLink id=jumplink-bib71></span><a href=javascript:void(0) reveal-id=bib71 data-open=bib71 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Kumar <em>et al.</em>, 2004</a>). However, climate change implies longer term relationships, and these are beginning to be explored (see <span class=xrefLink id=jumplink-bib73></span><a href=javascript:void(0) reveal-id=bib73 data-open=bib73 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Lobell and Field, 2007</a>).</p><li><p class=chapter-para>(ii) <em>Appropriate complexity</em>. The crop modelling community has long been aware of the dangers associated with modelling at a level of complexity unwarranted by the degree of uncertainty and potential error associated with the parameterizations used (<span class=xrefLink id=jumplink-bib85></span><a href=javascript:void(0) reveal-id=bib85 data-open=bib85 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Monteith, 1996</a>). The greater the number of processes simulated, the greater the number of potential interactions between them and the number of parameters that require calibration, thereby increasing the potential for error. <span class=xrefLink id=jumplink-bib109></span><a href=javascript:void(0) reveal-id=bib109 data-open=bib109 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Sinclair and Seligman (2000)</a> discuss this issue using the concept of hierarchical levels of biological organization, from molecules to ecosystems. They argue that it is rarely justified for a crop model to simulate processes more than one hierarchical level below the level of immediate interest, because of the ‘burgeoning complexity inherent in increasing the number of lower hierarchical levels’. Therefore, if yield is the variable of interest, then only the mechanisms near to the yield-determining processes should be simulated. This approach reduces the risk of overtuning a model to one environment (i.e. confounding causality), which can result in a lack of applicability in other environments. The spatial scale and complexity of a model are related, as discussed by <span class=xrefLink id=jumplink-bib21></span><a href=javascript:void(0) reveal-id=bib21 data-open=bib21 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Challinor and Wheeler (2008<em>b</em>)</a> and <span class=xrefLink id=jumplink-bib122></span><a href=javascript:void(0) reveal-id=bib122 data-open=bib122 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Tubiello and Ewert (2002)</a>.</p><li><p class=chapter-para>(iii) <em>High fraction of observable parameters</em>. In order to avoid overtuning, parameters should, where possible, be based on observations. This means that the parameterizations used are directly testable. Empirically determined parameters can be based entirely on processes (<span class=xrefLink id=jumplink-bib26></span><a href=javascript:void(0) reveal-id=bib26 data-open=bib26 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Challinor <em>et al.</em>, 2004</a>), or else a semi-empirical approach can be used, for example with a process-based plant water stress index being empirically related to yield (Potgeiter <em>et al.</em>, 2005). Care should be taken not to use parameters observed for the current climate in situations where their value may have changed, as occurs for some processes under climate change. For current climates, discrepancies between the yield simulated by process-based models and observed regional yields can be minimized through a process-based yield gap parameter (<span class=xrefLink id=jumplink-bib26></span><a href=javascript:void(0) reveal-id=bib26 data-open=bib26 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Challinor <em>et al.</em>, 2004</a>) or an explicit error metric (<span class=xrefLink id=jumplink-bib15></span><a href=javascript:void(0) reveal-id=bib15 data-open=bib15 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Casellas <em>et al.</em>, 2009</a>). The choice of calibration method and the level of model complexity have implications for the reliability of model simulations (see later).</p></ul><p class=chapter-para>The principles above result in large area-crop models differing substantially from field-scale crop models. Large-area models tend to be less complex and have fewer parameters, and fewer non-observable parameters in particular. For example, the model of <span class=xrefLink id=jumplink-bib26></span><a href=javascript:void(0) reveal-id=bib26 data-open=bib26 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Challinor <em>et al.</em> (2004)</a> simulates leaf area growth by using a parameter specifying the maximum rate of change of leaf area index, rather than simulating the appearance of individual leaves. The model uses transpiration efficiency, another observable parameter, to simulate the accumulation of biomass, rather than employing leaf-level assimilation equations, as most field-scale models do. Such an approach is appropriate in water-limited environments; a parallel approach in the UK might employ radiation-use efficiency.<p class=chapter-para>As with any model, large-area crop models should be used judiciously. By design, they have the advantage of being both process based and applicable over large areas. However, their focus on the influence of weather and climate, and their basis in observed relationships, means that large-area crop models do not currently simulate the non-climatic determinants of crop yield. These non-climatic stresses contribute to the yield gap, which is the difference between the potential yield for a current crop variety (i.e. under the given climate and for optimal agronomic practices) and the corresponding observed farm yields (see, for example, <span class=xrefLink id=jumplink-bib57></span><a href=javascript:void(0) reveal-id=bib57 data-open=bib57 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Herdt and Mandac, 1981</a>; <span class=xrefLink id=jumplink-bib126></span><a href=javascript:void(0) reveal-id=bib126 data-open=bib126 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>van Ittersum <em>et al.</em>, 2003</a>). These observed (farm and regional) yields include the effects of weeds, pests and diseases, and air pollutants such as tropospheric ozone. Where variability in yield is driven by these factors, rather than climate, or where there is high subgrid spatial variability in weather (see <span class=xrefLink id=jumplink-bib10></span><a href=javascript:void(0) reveal-id=bib10 data-open=bib10 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Baron <em>et al.</em> 2005</a>), the rationale for large-area modelling may be undermined. However, the significance of the climate signal tends to be greatest at regional scales (<span class=xrefLink id=jumplink-bib18></span><a href=javascript:void(0) reveal-id=bib18 data-open=bib18 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Challinor <em>et al.</em>, 2003</a>; <span class=xrefLink id=jumplink-bib9></span><a href=javascript:void(0) reveal-id=bib9 data-open=bib9 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Bakker <em>et al.</em>, 2005</a>). Thus, the proven ability to simulate current yields (<span class=xrefLink id=jumplink-bib26></span><a href=javascript:void(0) reveal-id=bib26 data-open=bib26 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Challinor <em>et al.</em>, 2004</a>), together with assessment of skill under likely climate change conditions (<span class=xrefLink id=jumplink-bib22></span><a href=javascript:void(0) reveal-id=bib22 data-open=bib22 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Challinor <em>et al.</em>, 2005<em>d</em></a>), has built confidence in the use of large-area models as part of efforts to simulate the response of crops to climate change.</p> <h2 scrollto-destination=9235611 id=9235611 class="section-title js-splitscreen-section-title">Progress in modelling and understanding the impact of climate change on crops</h2>
<h3 scrollto-destination=9235612 id=9235612 class="section-title js-splitscreen-section-title">Ensemble modelling</h3>
<p class=chapter-para>Under climate change, inherent uncertainties in the predictability of climate limit the precision with which impacts can be assessed. Furthermore, the response of crops to elevated carbon dioxide is not known with precision at field and larger scales (<span class=xrefLink id=jumplink-bib42></span><a href=javascript:void(0) reveal-id=bib42 data-open=bib42 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Ewert <em>et al.</em>, 2002</a>; <span class=xrefLink id=jumplink-bib122></span><a href=javascript:void(0) reveal-id=bib122 data-open=bib122 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Tubiello and Ewert, 2002</a>). Quantification of uncertainty is therefore an important endeavour in climate impacts research (see, for example, <span class=xrefLink id=jumplink-bib17></span><a href=javascript:void(0) reveal-id=bib17 data-open=bib17 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Challinor <em>et al</em>, 2009<em>b</em></a>). Estimates of ranges of yield impacts vary across studies (see, for example, the review of <span class=xrefLink id=jumplink-bib76></span><a href=javascript:void(0) reveal-id=bib76 data-open=bib76 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Luo and Lin, 1999</a>). The simulated responses of maize in Africa to a doubling of carbon dioxide, for example, can be as broad –98% to +16%, or as narrow as –14% to –12%. These ranges have been determined using different methods and are therefore not directly comparable (<span class=xrefLink id=jumplink-bib23></span><a href=javascript:void(0) reveal-id=bib23 data-open=bib23 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Challinor <em>et al.</em>, 2007</a>). Ensemble modelling is a technique that enables more objective quantification of uncertainty. It is commonly used in climate change prediction, which is based on estimates of future emissions of greenhouse gases, and on the simulation of the resultant influence on climate. Multiple climate simulations, known as ensembles, are used to sample the inherent uncertainties in this process. Uncertainty in model structure can be assessed by using more than one model (<span class=xrefLink id=jumplink-bib97></span><a href=javascript:void(0) reveal-id=bib97 data-open=bib97 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Randall <em>et al.</em>, 2007</a>) or by varying model parameters (<span class=xrefLink id=jumplink-bib86></span><a href=javascript:void(0) reveal-id=bib86 data-open=bib86 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Murphy <em>et al.</em>, 2004</a>; <span class=xrefLink id=jumplink-bib115></span><a href=javascript:void(0) reveal-id=bib115 data-open=bib115 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Stainforth <em>et al.</em>, 2005</a>). These ensembles of climate simulations can be used with crop models, and sometimes weather generators, to produce an ensemble of crop yields that captures uncertainty due to climate simulation (Trnka <em>et al.</em>, 2004).<p class=chapter-para>The response of crops to any projected climate also contains uncertainties (see, for example, <span class=xrefLink id=jumplink-bib81></span><a href=javascript:void(0) reveal-id=bib81 data-open=bib81 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Mearns, 2003</a>). Inputs to crop models, such as the choice of variety and planting date, can be varied in order to produce an ensemble of crop simulations (<span class=xrefLink id=jumplink-bib63></span><a href=javascript:void(0) reveal-id=bib63 data-open=bib63 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Jagtap and Jones, 2002</a>; <span class=xrefLink id=jumplink-bib62></span><a href=javascript:void(0) reveal-id=bib62 data-open=bib62 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Irmak <em>et al.</em>, 2005</a>). Large-area modelling studies have been carried out where both crop and climate parameters have been varied, thus permitting a better estimate of total uncertainty and of the relative contributions to that uncertainty (<span class=xrefLink id=jumplink-bib28></span><a href=javascript:void(0) reveal-id=bib28 data-open=bib28 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Challinor <em>et al.</em>, 2005<em>b</em></a>, 2009<em>a</em>). Large-area crop modelling is well suited to this approach, since it operates with direct climate model output. Studies using this technique have contributed to our understanding of the key processes that are likely to reduce crop yield, and the quantification of associated uncertainty.</p> <h3 scrollto-destination=9235619 id=9235619 class="section-title js-splitscreen-section-title">Understanding biophysical processes under climate change</h3>
<h4 scrollto-destination=9235626 id=9235626 class="section-title js-splitscreen-section-title">Direct impact of atmospheric composition:</h4>
<p class=chapter-para>Elevated levels of carbon dioxide and ozone will have direct impacts on crops: C3 crops are likely to accumulate more biomass, and both C3 and C4 crops are likely to use less water as atmospheric carbon dioxide concentrations increase. These processes have received much attention from both experimentalists and modellers in recent decades. Significant increases in plant growth and yield due to CO<sub>2</sub> elevation have been reported from controlled, semi-controlled, and open-field experiments for a range of crops, and to a lesser extent for crops grown in the field (<span class=xrefLink id=jumplink-bib69></span><a href=javascript:void(0) reveal-id=bib69 data-open=bib69 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Kimball <em>et al.</em>, 1983</a>, <span class=xrefLink id=jumplink-bib70></span><a href=javascript:void(0) reveal-id=bib70 data-open=bib70 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>2002</a>). Many recent studies modelling the impact of climate change on crops have simulated the effects of elevated CO<sub>2</sub>; however, the number of free air carbon dioxide enrichment (FACE) experiments available to validate these models under field conditions is still limited (<span class=xrefLink id=jumplink-bib122></span><a href=javascript:void(0) reveal-id=bib122 data-open=bib122 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Tubiello and Ewert, 2002</a>).<p class=chapter-para>It has been argued (<span class=xrefLink id=jumplink-bib75></span><a href=javascript:void(0) reveal-id=bib75 data-open=bib75 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Long <em>et al.</em>, 2006</a>) that crop models overestimate the effect of CO<sub>2</sub> on plant growth and yield, as a result of the CO<sub>2</sub>-related model parameters being mainly derived from controlled and semi-controlled experiments, which typically show a higher CO<sub>2</sub> response than observed under field conditions. However, there is growing evidence that crop models are able to reproduce the observed crop responses in the FACE experiments (<span class=xrefLink id=jumplink-bib42></span><a href=javascript:void(0) reveal-id=bib42 data-open=bib42 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Ewert <em>et al.</em>, 2002</a>; <span class=xrefLink id=jumplink-bib7></span><a href=javascript:void(0) reveal-id=bib7 data-open=bib7 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Asseng <em>et al.</em>, 2004</a>; <span class=xrefLink id=jumplink-bib121></span><a href=javascript:void(0) reveal-id=bib121 data-open=bib121 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Tubiello <em>et al.</em>, 2007<em>a</em></a>). This evidence is contributing to an ongoing dialogue (see <span class=xrefLink id=jumplink-bib3></span><a href=javascript:void(0) reveal-id=bib3 data-open=bib3 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Ainsworth <em>et al.</em>, 2008<em>a</em></a>). Progress in modelling CO<sub>2</sub> effects on crops at the field scale will mainly depend on the ability to improve simulations of leaf area dynamics as compared with photosynthesis or radiation-use efficiency (<span class=xrefLink id=jumplink-bib39></span><a href=javascript:void(0) reveal-id=bib39 data-open=bib39 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Ewert, 2004</a>). For modelling CO<sub>2</sub> effects at larger areas, the relative importance of other factors, such as diversity in climate, and soil and crop management including land-use change for explaining yield variability (and possible interactions with the effects of elevated CO<sub>2</sub>), need to be better understood (<span class=xrefLink id=jumplink-bib41></span><a href=javascript:void(0) reveal-id=bib41 data-open=bib41 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Ewert <em>et al.</em>, 2007</a>).<p class=chapter-para>Crops are subject to multiple stresses, so that analysis of climate change alone provides only a partial view of likely future crop yields. In order to produce robust results of climate change impacts, a range of drivers need to be assessed. Such assessment is beyond the scope of this review. However, one further environmental variable that affects crop yield is considered here. We choose ozone since it is a second atmospheric gas that can have serious implications for yield. Atmospheric ozone is formed in the Earth's lower atmosphere through sunlight-driven chemical reactions involving volatile organic compounds and nitrogen oxides. It is a strong oxidant that is harmful to plants and crops. Exposure of plants to elevated ozone concentrations can result in acute visible injury, which may have economic implications for food producers, as the damaged crop commands a reduced market price or cannot be sold at all (<span class=xrefLink id=jumplink-bib129></span><a href=javascript:void(0) reveal-id=bib129 data-open=bib129 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Velissariou, 1999</a>). Plants chronically exposed to enhanced ozone take up an increased flux of ozone through their leaves, resulting in reduced capacity for photosynthesis and accelerated leaf senescence (McKee <em>et al.</em>, 1997). Protection mechanisms allow the plant to repair ozone damage and detoxify leaf tissue, meaning that plant function can remain unaffected up to a threshold value of ozone uptake. The reduced photosynthetic productivity and allocation of plant resources to these mechanisms leads to reduced carbon assimilation for plant growth, and a reduction in biomass and crop yield (<span class=xrefLink id=jumplink-bib77></span><a href=javascript:void(0) reveal-id=bib77 data-open=bib77 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Mauzerall and Wang, 2001</a>; <span class=xrefLink id=jumplink-bib37></span><a href=javascript:void(0) reveal-id=bib37 data-open=bib37 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Emberson <em>et al.</em>, 2003</a>). At higher ozone exposures, plant protection mechanisms may be overwhelmed completely, and ozone entering the plant can result in direct damage to plant tissue. There is also evidence that exposure to enhanced ozone reduces the nutritional value of crops. European wheat crops have demonstrated an ozone-induced reduction in protein yield per area grown (<span class=xrefLink id=jumplink-bib92></span><a href=javascript:void(0) reveal-id=bib92 data-open=bib92 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Piikki <em>et al.</em>, 2007</a>).<p class=chapter-para>Ozone is likely to play an increasingly important role in determining crop yields as anthropogenic sources of its precursors continue to increase in developing economies, leading to increasing background concentrations, especially in the northern hemisphere. Studies suggest large enhancements in surface ozone over SE Asia, central Africa, and tropical South America over the next 50 years under projected emissions and climate changes (<span class=xrefLink id=jumplink-bib103></span><a href=javascript:void(0) reveal-id=bib103 data-open=bib103 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Royal Society, 2008</a>). Many of these regions are those where food security is already at risk from rising populations, loss of cultivated land, and climate change. Reductions of 5% in current yields due to ozone enhancement have been estimated in China, and projected to rise to 30% by 2050 (<span class=xrefLink id=jumplink-bib74></span><a href=javascript:void(0) reveal-id=bib74 data-open=bib74 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Long <em>et al.</em>, 2005</a>). A wide range of sensitivity to ozone damage is exhibited between crop species and between strains within a species (e.g. wheat) (<span class=xrefLink id=jumplink-bib4></span><a href=javascript:void(0) reveal-id=bib4 data-open=bib4 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Ainsworth <em>et al.</em> 2008<em>b</em></a>). This may make it possible to reduce ozone impacts on crop yield and food security through the targeted planting of more ozone-resistant crop strains.<p class=chapter-para>Progress to date in modelling ozone and its impacts includes global-scale estimates of future ozone impacts on crop yield over the next 30 years, based on modelled surface ozone concentrations (on a one degree square spatial grid) and an exposure-based ozone damage relationship (<span class=xrefLink id=jumplink-bib125></span><a href=javascript:void(0) reveal-id=bib125 data-open=bib125 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Van Dingenen <em>et al.</em>, 2008</a>). Yield losses for wheat and rice in India and for wheat in sub-Saharan Africa were found to be particularly significant. These results are subject to large uncertainties, due to application of ozone exposure–damage relationships over large scales, uncertainties in modelled ozone, and choice of exposure index. Some local experimental data indicate that ozone-induced crop losses exceed those predicted by the large-scale model predictions, which rely on US-based exposure–response relationships. Additional uncertainty stems from the reliability of modelled surface ozone fields. These rely on estimates of ozone precursor emissions, which are particularly poorly constrained in developing regions of the world such as Asia and Africa. The sensitivity of future ozone concentrations to climate change is also poorly understood, and depends on future land-use change, and how natural emissions from the biosphere, and the stratospheric flux of ozone to the lower atmosphere, will respond to future climate. These impacts are not well understood and are currently only rudimentarily considered by current generation atmospheric chemistry–climate models.</p> <h4 scrollto-destination=9235635 id=9235635 class="section-title js-splitscreen-section-title">Indirect impact of atmospheric composition:</h4>
<p class=chapter-para>As greenhouse gas emissions continue to rise, and climate changes, crops in the majority of regions will increasingly be grown in a warmer environment. These increases in mean temperature are already resulting in longer growing seasons (<span class=xrefLink id=jumplink-bib102></span><a href=javascript:void(0) reveal-id=bib102 data-open=bib102 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Rosenzweig <em>et al.</em>, 2007</a>), although there is no indication that this is having a positive effect on yield, at least up to 2002 (<span class=xrefLink id=jumplink-bib73></span><a href=javascript:void(0) reveal-id=bib73 data-open=bib73 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Lobell and Field, 2007</a>). Projections of the future impacts of warming seem to indicate a negative response of crop growth and yield to 1–2 °C warming at low latitudes and small beneficial response at higher latitudes; yet large uncertainties remain (<span class=xrefLink id=jumplink-bib35></span><a href=javascript:void(0) reveal-id=bib35 data-open=bib35 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Easterling <em>et al.</em>, 2007</a>).<p class=chapter-para>Mean temperature, together with photoperiod (<span class=xrefLink id=jumplink-bib88></span><a href=javascript:void(0) reveal-id=bib88 data-open=bib88 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Nigam <em>et al.</em>, 1994</a>), determines the rate of plant development. The fundamental thermal time response functions that determine the rate of crop development (<span class=xrefLink id=jumplink-bib26></span><a href=javascript:void(0) reveal-id=bib26 data-open=bib26 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Challinor <em>et al.</em>, 2004</a>) suggest that warming will decrease both duration and yield, at least up to the optimum temperature for development. However, since a given response function of development rate to temperature may not fit observations (<span class=xrefLink id=jumplink-bib141></span><a href=javascript:void(0) reveal-id=bib141 data-open=bib141 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Zhang <em>et al.</em>, 2008</a>), care should be exercised in their use. <span class=xrefLink id=jumplink-bib21></span><a href=javascript:void(0) reveal-id=bib21 data-open=bib21 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Challinor and Wheeler (2008<em>b</em>)</a> showed that differences in the form of these response functions, particularly at temperatures beyond the optimum temperature for development, mean that different models can respond very differently to increases in mean temperature.<p class=chapter-para>In addition to large-scale changes in mean temperature, regional changes in climate will probably affect crops. These regional changes, particularly where they involve rainfall and/or variability in weather (as opposed to changes in mean quantities, such as season-mean temperature), are particularly difficult for a climate model to predict. Examples of potentially important regional changes include atmospheric humidity, which affects assimilation and alters transpiration efficiency (<span class=xrefLink id=jumplink-bib67></span><a href=javascript:void(0) reveal-id=bib67 data-open=bib67 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Kemanian <em>et al.</em>, 2005</a>). This process may be very important in determining future yields in India (<span class=xrefLink id=jumplink-bib21></span><a href=javascript:void(0) reveal-id=bib21 data-open=bib21 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Challinor and Wheeler, 2008<em>b</em></a>) and other regions. There is also evidence that anthropogenic aerosols and other air pollutants have changed the optical properties of clouds, with resultant implications for solar radiation and hence agricultural productivity (<span class=xrefLink id=jumplink-bib116></span><a href=javascript:void(0) reveal-id=bib116 data-open=bib116 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Stanhill and Cohen, 2001</a>).<p class=chapter-para>The short-term events that are most likely to affect crops are extremes of temperature (<span class=xrefLink id=jumplink-bib134></span><a href=javascript:void(0) reveal-id=bib134 data-open=bib134 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Wheeler <em>et al.</em>, 2000</a>) and drought, particularly during anthesis. <span class=xrefLink id=jumplink-bib22></span><a href=javascript:void(0) reveal-id=bib22 data-open=bib22 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Challinor <em>et al.</em> (2005<em>d</em>)</a> reported reductions of up to 20% in both observed and simulated crop yield when a 6 d heat stress event was imposed on groundnut. The importance of subseasonal variability in rainfall is illustrated in <span class=xrefLink id=jumplink-fig2></span><a href=javascript:void(0) data-modal-source-id=fig2 class="link xref-fig" data-google-interstitial=false>Figs 2</a> and <span class=xrefLink id=jumplink-fig3></span><a href=javascript:void(0) data-modal-source-id=fig3 class="link xref-fig" data-google-interstitial=false>3</a>. <span class=xrefLink id=jumplink-fig2></span><a href=javascript:void(0) data-modal-source-id=fig2 class="link xref-fig" data-google-interstitial=false>Figure 2</a> shows that whilst rainfall during the development of the crop has a clear influence on observed yield (44% of the variance explained), the crop model simulations (55% of observed variance explained) suggest the importance of other processes. One such process is likely to be the subseasonal variability of rainfall. This can be illustrated by noting that 2 years with different yields (44% lower in 1981 than in 1975), but with very similar total rainfall (see <span class=xrefLink id=jumplink-fig2></span><a href=javascript:void(0) data-modal-source-id=fig2 class="link xref-fig" data-google-interstitial=false>Fig. 2</a>), have different subseasonal rainfall distributions (<span class=xrefLink id=jumplink-fig3></span><a href=javascript:void(0) data-modal-source-id=fig3 class="link xref-fig" data-google-interstitial=false>Fig. 3</a>): the timing of rainfall in the 1975 season is such that water availability during pod filling (from ∼50 d after planting) is likely to be higher than that of 1981. This indicates the beneficial value of considering important processes in large-area models.</p> <a id=9235645 scrollto-destination=9235645 data-google-interstitial=false></a>
<div data-id=fig2 data-content-id=fig2 class="fig fig-section js-fig-section" swap-content-for-modal=true><div class=graphic-wrap><img class=content-image 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TkCmjlxbXCkB8CM9RZEDGBHkYlvo0icJdImwLofErRayUYecmFfs4OBL5dGVXqmotcF/7EDCYAYCypIjqCKkhZIMrBtDtZtnDZTEzYfpjGae3WrJlBq7Bab5zZgOKkDmrUDYzlIUVGsB7CSI+piWYECaaQyA+BLpLFobOJ50hpw2WcCZoQSN0YD9iWCQFiIlZlgPjYCxacRddMmL0IZjcBCvPKqJMAA7gIaZqqTULad7QpOV3ZYrBlEFxZ2+eNl97pObGMC5GGgZwUn8YQDs1mTieqrbTJj49kmTjsn8RMBGVgFeggh/yx5Dl91sYGmj3vDAMWJsYnTNMyWbNLzsV0yHL3TNsmglKJTHo+GLNujqwegFxEQYCCqOTHrYN3kqu6KZXNKTqMmA/aKbrzaIzpGRYP6HAGDGFcnA0mVnYyKDBUgCbJFlTZpAufjmHEEpAThpAEXjCRQWmloKwDAiGz1qYmiHg3AYIVxGEPxtuSwcqYGRhd1tyKgrsv1YFTmpoz0rolCciVwp4KbcppUuDiAR2qlmQHzi/06ZDaUAKOKXperZ/vZjv3HrJpLm1zra2SbL8tGUZRYtru2JwDDcLkEREWWHWATMNqWntf2sh6Du/3FrnxLs34LvHYauPXKs9hlvCPQvf8QkggAgAUixrwlFsBumUsAgyoCG6LzpqyOqgANMMHsNJW8tL2WCcDBgcEFx49NZrZfghi+UjeAArv/uEPooQCIAazwqznyK2UiV7+F5bs6hL8gi1M6O7jF+5wkwJBUJgEBICUFXAPHghfIQAEfQhGXiLQe+bW71QBLIrSPOGxaKwOgO2g4dobgu0UZOoiHASw1KD0gqiNJ0DYRZ7uDpFzz620RNsP3W6vCu79gKgPppmKI8SwzAAFChll2CkMiQGup4p5GIzTOEj3Sm7RdV8X8ybkDIYS0G4haTC+KbKX3hVsa/EcgjAxswsXS4zDjuj1tMq52pUJp3GC5S7+728b/HFezoHazcVwCOiwDfNldjJCnNNB54ZUAxQbIu6hNQbxCKtTAYGWwETxsFkwCVwwFk1xolTy2XMpf5PpfqYZxyvAmply76Nq+1wzDe5vKr0qXNQzHOWtd2Qpm/lsCmslCPAVrLadzUPQmAOBHh9zEy9w//WkRVbR3+4qI/NzPXiABwxCUF9GHFaN+MZA0C0AFHPAfUmwGF3gABkAFSzoCencAeRJEmJkT6xIVItgjIhBeHZDRY5AAhIAEmrIAAfAAA0B/AxAVmLALGFAqHUAMl/dThrcEH5AAGhC5d0DQZBOlGJAB1/AAe2c0cisNVtd+ktAMGXC1/vzUUA0E8Yel/wWQJWkEAU0NIRRAKR+gsgjkCZlCdw94HIAY1WbNz5ZyHKICJkTCBwhALBHQAA8wS57QAaIsDWV91lGNRLrX16zHpfZwzzAWldhXbYyo19s3G0IwASXJMDEAAZgaBBgQPUebBdZ7E/iIgxyM2AKo2B7TApsT2qBtAga2UBvwCbHhAijwABGgAGHhAVVbMQuQASXULw3AHHS3CoBdi8W8D4fN2Ubn2QxR2SYp2FPMkccG3M8n3BHZ3BMcEM59AgQAVFmkJLB0AQ/QLgYwAJcHdbGxAhNASw/QABEwQPaHAGvbeJSif2Bw2TaR2VHYkMpNdML9A1BRfhJgFJvSAXrH3/97pwoEgABALAAWUAATYAEXwN9fl3gqIAlZl3c9aYJxuB7GnRUa8wI3m4/jMt8BeD5+/eGpBzu8ctTNYQUWMOG5kdc0ttkc3uJ2MOLlgOKSoeIXvOEufuNs4Bug+BEVjhPwDcnybQQZoCQ4fuMpUkIZ3og9/oSErY02zob1XOR6rYSOzeOMLBA0jsws7gWnK+XAbUeSkCIizWfLaoa/XQQc6+XzXTm+BY3msuTesJPDMAkEoIdqlOWPGeTlsK1qHtVlebtL/J6gEQCRgSQPoCMF8NYxoBTBwKFlEHVZRB/8ljFkCjmWPubIadnN1ud6/efO0+QZ9QGQI+rS+SWftAD/QR0VluAUv/AOP761kXyKHszp/DxFmiPjaIDrc4HnYvXk7c3ntM7Ph5EdiODVEGyDoK7ZsQ4N4cvpz5PkL6iIPXLmjTp0r27Fyf2Rs96Pbp4HElB+oagpdmmF8ImoO7HjFH7l+MDr2rvsv77t3nAY8owLqvmSiHhl5v4UHMPb1p7sUUjtPH7J51Bk0H4G4Bw4Bc99+hdVtUrMbJABdTsnE2AJysF+vmiGeh7wnOwOGpF4rbYL9V6XDR/tJwIp12CMfaLrePATLdFbRXDtK+7r1Lfp+KCZhKABTs0GIW9LIy+AxMojbZ7yDX0GOZ0ARn+4QMDuyfyRAr8N8koePN0G/wffJeN+hEHbjOjR2IJpBzwJAf8wWeHHARwA0GNOZf4OyQD/g83ODoiQHeuYCzuP8GtYOeq4n9V+BgJAT/CCzh4z7z+g9FvO9LuNDYCBCJEt9S4p8gkPkWWPB/E0Wpail+6dDyzSEgsVaQMw9qNx9rCe9oEN79ngj1T58bEw9eLe80Qwy9rQAQH7brzFjnCOETBf4xmv9oO/C0w4dflKIDQs94tyzttg6wtZ+5vbBhmgAQsAeBkoABQQSTrx/O7eiHVp5lO48QN/Gh0BLoirs0DwAXz9zYnP84vPLcCPfHWVXkuyz2Q+Jcigk0IQkYheJGE5/6XDRUtwGqCXOgwbZ/8B0HRNF+4gcIjjyAFOR6or27aNA1UuXdv3WyGHgqnXDPcKOACEBgmhSQRoFkJFQgsoEj4hdiUAAArZL5iFSYwKjEdqNAA0a5cAJSBHAD4qCUSUQHoSknTBw4OIwKCNR8OEIsHDgMTAz0FExoGFEMeIRIGAClXNQAwDDUIFBABZGBYMQNCIRwFFkYODBWXq7R1AQwbXhkCCxoFH1xcCgY2SRpwui0VH1FTVFe7NFjE1do2DlIgZmkqCwRdMBMnrAvdHQXl3wYSIpq1NA4fHysSOBAceRz+HZTZPNAZsMNCKRKwGEip06LBgA5JsLQIAYHCwRYdgElM11ENggx0KACb/RAAACQcvL8g0aNhxYANAEs6guaBihQaaCphwWVO58acIBzsPeEuTyYE9VQ7YAU01wUICqKiwIVDwyYEBUSQmsIHH0FDSppJOYNhgg2sesTi4ClgFAeQIAxweiAOazOUBXidFPKE5URqNDhsAcLu1gItPtdQekjBhREUGBxeykFNMokACCA+eQCCwRwWHCIomLAiLS6ALggZJQGB6gMNXERMcJJY4oRQDg6ZbPDhmuUbVA1UTfLQzIsEJ4y7KRiS+wfWKuyoUaKz0rDALm9NU9DFiMWIYklyG/k4l4zIX3yQqLKC8tDz3CwgmrwBPdHcq1C1AZe3mQJ4IsHUQ0wEd/7yzUQNGeFCQWTRowAUr9sE3Am3CNeCcciNQcBEJW2RIXAXQjfDBYFBZYMEJBnAi03XR3KTCYZh0wMUCDKSVhQkCzAjABgdO+AUDFFx2BgEFbLAXBVoJUdmPJEjYDQcDcJCBktQER8Ns/bmwECMqQLXRAz3CoJuDADxgCoE/LuCAABKYheEKa0xWgQEQBWXUcR+59oEDChwoHQt0QCgiCdrJxMCBGHiHwAMX1IGFlAFEAWEFTzZJwwcAAJjAGWkY0N4Ba2A3z3s/DlAABAsoAEFYH1SQwDsDWCSRfizwF2ELEnCBpwgBNJglhyREsAEBaUYGACZjBkvCg5YMpt6P/f9FIIUGxbFQAAAKbIABUhBUSQKIEXBLwF4jKJEAXit4UAEU5Sia5gGGlkTfATAs0JBOwlWgAQP4raDrg5xYUxYA9F5aQ6ZhiaTAN/AQdsDDS5b6WyJ5XZABxheLEAEHAggQgAQZfADtaRVccEFtanDxLQkKVEQAAKCyMEFBy25M7FQjKOCSsjU0KxwDDKQLXwUBrPFOtXCx0AED2yKFExcZRsfS0Co8UERtDRgAQB4BaIBij6z1e0BO5CXYRgvIsTmCNRwwIam/B8t0420PMNCBISN8tFk1J4sktVqIeAByCQAqdmVqBbF8AAEOvMbuBg7IrIYDG67mwrDFjjBb0En/9VymJVyNWt4WBaYBJwslceGApSYE0NtzoyxRtUwEMEBEXSuIBADtI5RtNY8+uiKSwQf05IoDvct9QLXmJsBBp7aaJDGhTSVI8o+1xonVRYexI+ADCY5+AAMAXN5C5qgIUPl/I3zuws+M21hB3E31poIGbwGuofl2ZmJ+nkIkO3Q5AQrcaMDkerWEabzFPoJgAHlGMCMCXEABFjAAzBJICMRUwioHMIAHl0eCNRiuKCzghaZwwCQRwkd7KsiSkniBtgMsBG+husZWimAzSRArdJOpkPscUBafASAmQYJAzhTDlQFgIISoa4HTkJCpG+Updi44l/Iq8RHsWMB/8Vqg/wggUDyyPSOCMjnFA7jmguMNwzizGePBDBKRC5jFhM2AAAU2sIEk1mdiLPwN4vajOD3krQSxMZ7kXlgzfhnuZozIVASAoQIYDBF0JTALAszYFAwEQygjSNr+RLAuCPEKXHoaYBb7Mr4ReM0K3vKXIPLlAkcBYDta4GCoygWBEC7PAOqLGVGilzpfYGVxTvLjHxXjwhFiZVVjW4GAYiKqHJ4vU4gaQfoyMIGETZJ7RCTQBjjQgA2krEwAWNENPIAVIphSaSxYV9MsFcDqiQCLBfTLHWihgTSWUwQP1KSGqpA7FmTqGrxwTWQA+oUa3Q8H6kzHigpwyBWURFLeqsEKk/+pTF7aKgYAoGcNC7kGn8wGA8FSVAAiUAqTcAVwlGwQ/IqIkEpVTAgPOuclYlY0ZunPBeuqkzw9YsUW2NMFT9jAKkWwuyz+zgUUsOBAb4nDC4yOANUxjDDTuY0DcMUWdmRBbuhkzCDSU6M2sEUGLOGbDGwnkDMT4lgfZ8MOAZOr3twSFwaxgVLW664xTRPD5Fc/UTYgjW/xYg3yyAJQ0oBBQT2Ac8pa1BaocgpgdEFTW/DUcNDgeCPYgAYfwFEwOIaKNVhAEAQwlK+uwFHFrIE6XXMBCByIAuUQAAI8kBYEhPJgHjBAAfTRgDh4gAAZcmucakaDaG4PE8CiQeYe4Kv/F3BvsPEbAS+QZruy7KZxE6hWZirAo8fqDANCw5+1WvBTxK4gXKi8Z1K/+CLelJEGT70gpnCp1MU9gI/Y5cJVRcALDbzibvTDgQXHstqsbu+1NMhoXBA4GQk0oQNIgEC5zAqc0apANXEN6cyQ9T4WLMQUDshwEMn01xW0RDZChKkoRaAAcVSrAopqH3SJFTaeulNddGIvOE55xdkVEKmWnS8LMsuC+0ZVBZ61wRJaEJld5mUDFchwjWYUVxIwYDIM2A5ruVMBB7sAwhr+yTLVMEgXgK8FWzCpSWnAJd6V+cXfXEEB1hYB7jWAOmFJQBry5wuijAQnEGgAfgTd25cA/5UGkX2vUQ14ZFtarb5OFWhn9SsC8/qLOCcMBQ0Yij30PQ3PDF6BorRU57KeGRfI7bBy2cwQeFHOr8M80YNtvViZsjgY6hxzBKMsgqRxwhQ73t5bhDfsnqr3x49175AJGGl8rqCVlCZBLBV6gM02ma44FGUpWjBj7miLyi4QNdloTYJMkc20Ye6wrvvI6lbnh8MjjHUL2uyC2TzgIlKy6uoqUMg+VnLF6jrnguo0HQIpmi8naOQByuKQxTL7nc52tJCJSuRIG7kml+WN3bTN5Ex/WwQfGDgJiLU57pm7BehmHl9HcMFMlfDU8LYbRpFJ74DYm3KqZgFz902sHdZQ3f8iGPGu1U2AFLw4LM7A31vQGaZCq4ABRfBXw13gWIwPNVAbp6ykPY7kFShZd5heo6ZHwB715oYoFvDAlHt+gJdLIuaz8cwY372VleV83jsvhtxDhW+gT/St5yMxu/wbxIK34LqQ+aiNN5AUz6xgVYM++pgRSzMAUrzH3Nm6C6CtcWmDndqd+HiSLa3Zs7egoP187IM0EvdQE6llfOXP4vSusmz1/e9oZsAHIoDOF8a7MbPGUvGxibNcHz7pLrBd0ytBa2JD88QjQK2DKq4u0Kct414nfTO2OGmcqH7JUM1vyUXJAKO/pA2zdwG21DhCFoAwbroXgYdbQJIPcEDnvr//RZrh3+BBU+HdwwCqQOaw30vdWbPVklmIVuNpX16gAI49CMp9kgSaQxRxnWR9XfiZXqGgHtmVn9nhF9qln2ykUIcRhjq1hwBsQMuxGABowIyY1raowI35y/0J3s+xgJn9X71dRQ+CxvHtW/J5BeXVGeM53yzVksApHg9E3QpkiqLUEhckVdZBUaOFXrtAWunFl7WRnyytHmedYD/Vy27EQlLwwgUQRAyKgKNIgaglCL2oE9osCJ1di83dW/PJGxBmw6tRU1zpm/4dIQ9pTp31If7wmnoJ0Qw6yEcMHwlIwO4IUfZ5njlcHBd23dSA3wocFRiKoNX0m8idnxlizgxa/0DXFA8MxeCrkABDpYGuoNMAHAgo0NMO5l+u+d0f2kAA8uAOBZ3+HaCwLF8iHpjBNSIrWFcGbgyEFMwl9tZ6PZv3dWIqhd1EiCK2hZx9maKbpZ3VWNAzCEl98AiViYSIxGKhFNo4TYaj4OIeqtkQdhMv9mI0COEgFqAiKaLyISJ1LaEMsp86LSMNWJ4krlv0wU8zftYWdp8ARds1giAraaPvkKAKcBvJneHcpUf9RAZyXKAIqKPV2IkBfAADyF0uEuMx1aM9ElXgwdByFWEhxhnmGCN18eMnMeI7MYjPRKJPDYbkReNPNiQLPBpEFlkojl2ljaH5leE3ouAI0FK3sf+NAxCA3Ikk2SXAGvAe/MWji83jSrZkNUAAB9BWoQQe7sXkXBUiTh6iAhoi8+ikuiRkBGKiKwAlM9qlKHFfUVajCkzWBybltVUkU5qdU7LAk7HABdTeGsHgVXqlB5QPV7ZASoIlWa0bWR6aWIoSQExAIUnA0jVEaHZAaC5dZ0BAQ4hmaoomAbSmapJmapqma64mbRJAZ5Tma8LmbeImbKYmBHQGba6mbKLm0hVnb3bAbcYmbI5ma84mc/qmbRqndDbEafamcbJmdL4mczbndfJma6Kmak7nd3pneGanci7neGrncpImcK6ndCandSrnbirnezane6LnXgWndXKnemL/J3ieJ3ruRQMAxACA5GYeKIImqIIuKIN+gXwcXQG8AdtgADn6koFo1HxkAqp4gAQsQQKQgdagykHKzQQQgC0IQAGUZMR9KGdlQFSQ4x9lgIXJRgEEwIRdQFlSQgR8ymBeym8NBQcsgDhMAAUUAAKoBAVEBcQdzAVcwSs8aF6k6G1BwIYmaAT4RgMQAGoJwMgEyI2QpUZBacS9jkt8wBU0Al+Q14R0QEQZAAJMBQUEm1lZwIFkAAVVwATUaP99gIxujGktDwaAim5dgAYUQAYYQARowHY0qUZd6dFpKfC9hgF4zYDiH/tpGHAZzyAEQHsgaoN+KqiGqj2+gpSwiQT4/wAFTEYHUMIDeEAmHQAELFp5FMsOeIBGDACBkEQE7Cqv9qqv/iqwBquwDiuxFquxHiuyJquyLiuzNquzPiu0Rqu0TqulUMAEwIoegGaACAIhGGh5gGkgwKo94FYSKEADINq5IgK6rqu6tmu6viu7wqu7xiu9zqu9yiu+1mu+3qu+9iu//uu+Bqy/CizADqzBFizCEqzCHuzCJizDPqy7roHUiMymUYLWTEBdLECKbswMHUyqBkBSnEwEBaKolqzJnqxEJMhx3SYnRCh9DA4FGEeqxpeGkSzK3iyDiswHBN/ORkDP/izPBq3PCi3QDq3RFi3SEq3SDu0HjGg2qCzOsv9S4EUt1bYkGiTCuU7AuWYt12Kt12rt13Yt2I6t2JZt2J6t1m6IWkAt1f4iDjiGt1at3IpFQ90CEzVpe2AszWbBBGBAYjCGWLBt1LrtDQjj3B6uZdRtGHDSiDjABMBB0wpD5HLVB0BCAwzAzvKpB3zAO4hMRGCuAcDoAQDB2j5K207tDYAY4q6uWtRt0+gR7MYu7ELHE7iPpsDBa1hAAGAAJDBBhO6sbyzAIBRAn2ms0VgAEsQBLMLYTwguzhKuDRAi606vRCguGHiABWAA3CmAFyAABTQAAkRAbgVCADCAnnKAUdwLX1iAkeJWbv0mLO4QLjjvzdrsJcgk9eYvLlj/rz1iX+Ca7uCirg2orv4WcBjw7xegqKHSkLKF2mBNITsArvUA8PMKcA1IrwFnMA4gMBZEUoBISFLEDZ3GGFd1QAibAx6EpPzeAv2irP2+Lf5qsAzjhHpY3SycgAOgwo35Xx4JyQOUQ5EUCCaAaTA8KPJOwAVcyAdUagcAVwdQWHuUpQpPUgOHQQufLPTWAAHPMBcn2ahhwQJDVnHZgXExTjlAALVsmw8kwOamQAdUriUQRwNMy6cQRRpIsFJRcCpcsclmsZzpYxcHMgdngWmcsDBwhzkksk/FbyfgFDXwcckqATYUXSBXMrZ1QC0OgCZr8gRw8iZ/MiiHsiiPMimX/zIoS4oKzMje4sBHVa2vtGYWDTAgW7IMD4DHeEwG3LIuC0Au8zIu//IuB7Mw33IvFzMwG7MvJzPGqIB4fTEOgObS6bELW/AfryUtXzODlo8zKwVLKqgfb8ksY7M422P5xJx7dHOCfnOuxPA4t/MfGomuVDFlSPPJvnDqhrM75/OZSVSmyDM3uzI1g7M16zNBtxo/RwwL+18fB/Q6D7RacAUrFLRE24BgQFaPUk/V2rMsDwh8LOBEf/Ri7YCiPrJCl6w6I55DB251gTRLf9IOWMCW3cAPLvQk4zOCwGVLu3OL9R9JozOCarQW23TK2llOg3SmQAJPz29Ji+pJ/ws7q/+0ihW1RG/BO+jKKu8iQNd0SlsPTkv1NW9BRKxdQvs0vdXULuwGUFdz3A41QHq1O3cA64iAWO/xUnvAAGTA58rDBCxpkxAA2mCAHaDMWWr1Wj8tUbs1QTdMB+FCG8FIWggAFRGAPRgAE1FCnIoQBAQAPSAvKuDqOj4jF6AzJZcH0iF2O3dErwS0eIG2Hqfw5mhAxwDCXBWCCEGpBVQ2UUxOWgt0YWODR5u2O3uAAhhFU7tCa0cVjjJOxWLAOwi2CG0uOomMshX3JAq1YUc1cIszW5QAPWO0K+yswAjfun3AGkaAmmoUdWeCdft2V2e3DG/30XW3Ci11qKa3V3A0aR//tntjc4KgU3+PdUYzNEr3Nklj935bMqfJBIH7IH2D6m439IIndFtKdQRAgAFcNeu6VZfQNVlvpn3T0HqTdFv/IcgeaBgG8ptGgAJ8GeNcau+drla7+HUjo1gqAIqROEUa8NcISAroBYdnNTVssWKUdi9WgEYeDIogy/gFMlJBzzf4uBU3+Kc++IB3dHufmQkE2B+B4pJ3cZNHD5SDwUxHsoA79VYDBZEDoQkowAM3SWWJ3UXn72zogzCNdJR3uFh++GhTjH7b49U4skbNhGAGspEEU8PYuZhLeYPqeYgrtYH/YUucOZK3CJwTulnAxqFHeFhOCAdgAAawJwI4LVAw/7qk3/SE05twB4AczSk2ZkeO62+h8zg8lNo4KDo1CMCNHwDn6jqibnIGXDZVmOu53oKQr22f/+EWwB3VJZOgd/kMD7dcpUFSYwEi7LV820Yna/ICWArEvQOiUUP5gjexPzVXj7jvZRfzxPmPNHuld7ECNIEdWTXf7qwE2Hoq7MlgfQCLfiitlPkdNLqEr3CrdQCbFwjzitCbZ6NSZvC7E8VEzfU5TwiXDnAtJkIBtDkOULmZa3qUP/r/bXj/nXd5sLvCqzvrjhO8P7wGzTeef8FuHGRulQHG34DG/3ups/XB/1+C4AXEIzyll3wXZwoSfNUZ3HmT1KhcCG90nMlvmv8wz8W4lZv7zgmuVQV6q1fbq1Ov0Bu6USSJ0f/IoTqCm+S6gM28L/p7dd/8jItlSShHHom8ZZC8qy98AYO1w6+l1yd6yzO2hIiRKJnzF5A6xye6x/9dIDX2lv/83Jv86vZXN0yUCfj0mItFAcA2Bxip4URAAGRABKiiRNR82g9+rUs9vdXK1zD71Z8e3QNFBugRhrNQQ33V5K9aR9/1lWLModrCtueb2V8R2qs3fvN54e/cBhTPLvW+WMg91q/+TySm78V+ViF+xJN2I9UiLBpAak6qP2eB4Fv5qZ8ZOa0g2U+I8qs+4986OJY1u3QDg+Fare99L3Z/fg9/q5nA6Gj/wFSue+qHIPNvhPPvHAhMgHAcBfN0ZQlZ6wvHR+NE8o3n8tRh3BG4UAa6ojGgMBYllc5DCcXRDBVP9IotFjYlRmb1YGTHOEunIskFNAkM+SoAAArvelREMqFUK8gTS2NjF3UxMSPRMSDy8RHR+IhgNYiQZMfU4TJYNFWh6alD4XAg4KCxIuEg+bmy8PDwU3aWhrPWtooTN3e7G5d3kvIiAUB0Fbirc2GBEQFRkBAwobpCXOThdjBhsIAhTTko7MB3/EKDwTV+qxBQEkexsnGxC1GhIbdeRoCmxnaNzi5Hx98gDJX0AFuRYRigGjAKuDtgbYGBBgc+GKAQb4CBCwiu/3AwVALDlwMWSj4waSGBkQgRXHjgMwDCCwSmLMkR56/cOYGaFHSMkOFCAookVdppgGDDBpAHaCaoecOMPlr8eI4CaLUOBqi/cCakFgXABxgSZB4gYMgDAQEGSnDAYJZtFAEcOCB48IGpjFk4PCBopEDABKMDMpUI4ICBYgWK80SxUMGVVRoOHGAQMDJrlg8AbGjoV4JCJzJJAeCNQVNDR2kvpPKVUQs0ulwBNWehuaIrjARtdSRYzICxWLJmh5awIIGAW8kHMvzRsUBBguklLSjIXAKBhAAZCnRUUnPbgA6Omxa8MUDOaNgAGBAA8DCng/YNBgQwoGB+EwoZiNq+Ef+HBxlY1kA7EDE0hn8yOIWfcjJYkM9rMcRmFW3/ZWFZbnvs1lsUxrxwQQeGfICWAT9gsIBzB3A0wANg4ZCBXi9MwBSJDUiAgBiaIKHDABtQkQMT7znw4i4TzOeAWRQkYMED9chhAACwXPjCGR7E8YADAlxA5AEMGAYFCkU4hQAN8cTg2j628GQhlVB44MCUur3A20KC8NTABQHUVRcCBVhRAUW1NecJjzkcaYCOMCS0QARNPJCAg+gIA8B6OGTo5godqNBABRBsMBYbB0AAlRIKKMDagmx0hEp5x8mipmwwPJDflGS0makRcWp40AocpFIMgrm6RSoExvrhiTc5DOD/QKIxeODpARw00QFnEt7yHgaW3oBAFbl6oAEfGnw6lo80KqREPkqQ6dZ3rUUYaw4pVGDrGLgOC+OuJcx5CrAeCotvDHfaYSgOPgIJgwU1TYuJVQwAQEWqMFwAwLW2iZABnBCD+oIHCphVxARorbvqCxm3BitVa94wb71Z3BtwDAtY+msFkpaASpE6fCjQABL8HMHPEhjA2gMUNDBBA3/ueN4OzSpawgIaEMXwExNU4O4tHADQ7LY7AIDThQ0AkPF85K4gncJGNEDUNgjovAK7JXQKWpoqy1qlHC5j0QFWMd8w8wsF3BRDBWdCwbM/HhgigSofYHcAFdQZNUnTMSAK/3UMl/wxuIKfaJCfOUY8cPOFBJn3McclHGnBBhK/EMd3kVYwMGolI+RAbRBOdQOFN0QAAAEMhJ1FQrr8LUPgvspRupeHK5E4Tx5AsECIskrj+RsFo/f0CnE8z7BhYt4SewUI6yB87bbhtgAECZy9AgVyxCdDAxu4O7v6M92eW5ckpdy7qrBnAwRQAHzI8AHLMA95MmAAyKSlng514TnQA9h/YhSSNCCAAAjAwAYLZTkYHGw0Y5NN1bwnpVs8YAMZ+JHXYPAwOWTONpFZQaRUtwICEDAHCgDTDfU3tyxVRgEFYAoH8mC3AK7sBVk6QN8AAIHOZIEGAcgF5RiItnvsK/8yHRDVCi4ww51ZcBwZWMAEBqAIRXCgSBJYQPXAVAdl4QBzJZCO5h7lDxEQAE7nu0E9EmDAvVllAz/IHYRw+MXROMkCqvDAWOikQ/0lUAMEeMo6MkAFAGhAAhP4we4stgLfvYAeJXhPZ7gko9FVgFlyGA4Wsyg4ah0AYvELYw6iJxAPUKAjAlCfO2bxwDpsTwbMcpYE4OiWJoDpJc87Ctns10cZ1CMlAEDmZBwgAQ5w4YaPfMECpLgBDDiAKAVw1QHyB4MPbIABhpAb7J5omg2A8jACLEF6ehOHfPygAyHMwQK0VAELtDKYyOMM/X7jhKssIDT+qyAQx7EADyzUfkX/WscAIgXCHv2IAa+T1gYUQEEIEkWXGNlZA1IlDJXoRAf1eMUGsmeVwC1gmzrs5gs2oJIfvdQEDbVhJFegTnbGjX/plIMGNrDJu7EihSXwgBkYQIENrKF5OvDA/dIDsQO+MgL+ag4AQEo8OD20fmMUSAMogAEtoseaY5DjDY6EAb3dgFLE+9jqLPPCU+AUmfWIxwRc2NEDtPRXFDAnT7ZwAJ8IFn4wiFKODOA6zgzKpxuwAWcUIKPUZG1iwaNX3yiQKt8ZwAGZMUAGnIAGq86jmTeAZkCvIiUEACCVAeOqf+IA1txMTaz/GusnCiATDqBEA8TwQAIugAEMTIABiBRm/z9XAFcAqBUGcd0A8RKSBkTlFWc2u+IBhLEBIvw1YjmY5gEq8NXAHoMBWePm1wxoDuDh7Zz5qMd8NSuvlH1TAwOjUAK8lR0AeKBlMyiFvnIgPOuWgDMQc8CpXrk1VTBjQzZ0QQ0RV9Zd1OdyRAFK1P7QuB0lpglvlcNzB+fA2c6xa0FSJgyiWImVlreaB4irFG2jgCEogCLjau7cbKYAyLKtDBsAwHyzQ9QY0ApgEzDgmdagsA1QkFEHIDA2FiBbyMFAflJGoZSUMS4s9moGYBxzpwKAAbbCYGYVQK9N0TEBZcCNCa6oswVseZvn2jMxttxaB9xj5GcR4AKcaDEBkP9ZgXuMF8B+pDElGDBdgXCGA8IwhHsfxIBwHE8GApByZXOAX3zQI7TV7EACHgCAha7AA7Ss8hlslQEFuA49RaYgg4WbACojj3TQtQyFvUw8HdxYMwbQgCvCa5VhXq57MRiQBBz1nqXEgGKdjiZZXLyCClRGEosOrHlpwAFVZ4UzTnQQJX284FaO8wZ9SxLtQK0B1eTgqUqh7QBiGGlVWDndAPAunRigoFxwgERAEPCuJYUYDAwvpDgjG4Z964kJhGGP3oPbLZQtQhaLMNCbY4AEV8AGFxqacjODEHQBO2OXNEG9t6BYk83NWBh4jGs7hUGnGPlDeMs7FrSLks4CwID/z4Doga6gV1EDXcYFjOU9M2TwoMLwt/QcDgEJOOGE0LW2DN9iAgTVjFuJuVGZK/i71CoAaQXGNWsHA9tegsCBu53yEnQAAhgfB68hie4S2HfdL5DfLHKOg1BHBYCwkU4/gPeafQNVDhK4gOFRnCoLOWA15osZxsDwAQ78+gXp0bPNtf5KMtS9185qDeVOOPZF4dXQmah2oFYgYxyY9wBc/aZhj/EACHwgAEQ595u9aeSaH+DePvxp4OO92YSlDHi1Q8Ka/jpdxYPIAQTQgHUSIzELUaAScZismy4vuM2v+mHBJivEQ3+F0e+5j5B5QfhWhHXoVgrPZG/YCr5EDo3L/57Go8CmAsp/C+khAAXTY793ckIWEhWzG/kwVoL3IAD0PS/gfNcAOkr2am9VZKfGNXBjIb8yEqPFcjwhDCPxT9LCRVFhAbuiXriEfm/wdTFwMIoSALPmK3jkAQ50OTI0ck0hFtiUf+S1f4aRYxRgATC1dWJBYnoXc2KXH4vzUdkDeNyCfPNGeJyhRRMoL2EgSBXRb6hmcRYyNncCSPiCAZRDSSaYUA9CNA4AdbcEei2Yfp5HRwcgP2+2OW6hYjOiQCMwVy7mAAEwU58HhI1mGKKTFQEwAoQEckvYMei1AfLDWiUQhaqyc4PHO/ZEHochHQiQAcZhgUaHA98UaLjgN/+fF2n/sRX3tw78AgO/QgqJIUbnB4dH4HnF1AnAY07vVwKVp4eJ8gEVIG5r5wQz5TH0U2Bq9wKzZwJcEC48kYoC4B+XJgPQIgcJ0FHodHyV+ICXyHlAIB06NF/St2VKcWSwFRAF5DgKqAkRMB3GqANluGDrxoovwFWuF4uzWDkalShxEIw1mIYH8E9goV3eAwFgISR3Vlh8mH+GGIQ3RWl8pwQpqCVRQCqEAnI11Rfo1VUyMIm2o41oQni91gEUYH2mgQPi2Hc99HEw0CYJoRdcEoJGsAAoQFU3ACfuOI96VW30V2CyiI9qIIcK1Cx9+I8HkHrYIHLeswEgcwmZgI7/gsho0sR/u+gC8BAFCSAHt3cDNWBsyciIqxZOwseRxieFH6l83Egn1ZSCRuhqoHgD22cBKwk7fnM1slGBgzCTY1ZVPvg/+yJ+L+BA5sOTLPiTUaB+2KBAXZdM9lcCFEMNA0ldgRYBSwkfqhUDnOBtU9kUpnCYu5GVUYBNGqBWs2OATaVTbElf75aNyYcyaNkap1KORbeFdCgdculltRFkGeeOWZCXNTmNPpges5CTaDMPpScFb1iYOvCCMCACsIgDVtdUOHhXyPgXkyk8V+JwUMlSmrkIV0ApCimTtONKeoeRNnmaOdCRMOCAIOmaoWR4+eWWMrB9dUKKm/aW8TcG/70JBd+UBr3gl3oJmDpknK2FnC3IEgLQjEEwKv1Viw5Gf3fofnkIV9tFe3LwBMVGVgxJiDOSak7EcDcQJfMBgDKzStzglXkHEeeJA+m5P2bZmvPkjUukZFqYA3Bpm/+waR+gAPXSKYoZBVugAL45baOBH7wCgIPDbMc5MH5hANwgAB2QAQRgAwFAARFAcQXFAcZlT1cEdCzhpRGgIMVEf7oImL0Bmb9TKU/Al1CZmXBEACowgl7Kbtq2MR1qBHYUA9L4LCp6A9hYlqy5AklUeDI6KxeIAzaaA/cCjDEwODE5V7K2lFBwAS80nFEDAGH3Ao3AEs+2NTaVARCQYyRBFP/I4SBvgTxTAgFWIABZgwQnxTYe4DlimgPQyQpdcqZ7YTMPoDyXqX8b6k3j1ACBOQ+scTUEsBU91h5KwAAhElIF2Bd8OpaftppU2J6aSKhMZKhvqZKJWopnEUZQtSyKIAPA8ww0CQUBMBpQaqQ4QDFJ2lSuCqvpoT8YUAAEQBEv8QFmUQCnSCVWCgEE8BAXcAH1cpiyigMQCgMKtmgthgn/R6DICHKaeRWGEKKQ1Yq6gE2z062t5Slnh3elmaIIuKJkSYmA+irVGqOxma3yWZvcap9Alzw7EQOkwE/PsjQz2Te01UDuQIzrap7uan6rZjQL8ANcxwEF+V0YwBHJqYn/PdKrMUCmIDIMC4sDkzkPj/iwFCpYEitY7qJTqiAAgQEEnTAubaZJRcBVuLiAKGpVItunDKhzJvs/KIuFJ7myMTCfN2qOSuAAkTgKS8l96yQNONtqRQCu6Bp+AAqWQMurPsm0MFCwjOt+ePQsDsRHFCokXPM6seeryZgJ9jVri3NyC1W2MzVsN6BO1Zen5TmN0Lq60vqn1AqjdcsyDxCfeNuy9TlZHOB9NfZ6zQa4M8UARUK4UYkD4AquPtu6kksO4/m4UbCcnMe83FWUEUoKEEt7lHmjmBl3ZHEO8iM6caBFUWIFqYMZajNvH0pfbOu6a9uAU8hzs/uednu7W7at/7r7YtY0Nqw5IFFyo715GWirgP2RuCMqW9jbk8+LBdE7DU97bYwZAyBlPpjrKdlJVgisjL22UFZ1BqPVTSLwHakzFoPTj8rHAC6jp2LntmOpmrEbv0B5rWBAo4d6vwCysV8hA4mSKv2rZ3k5ovQoYFfSEH/5AnGFwISpwLTQoAN6R9UrOGlHwap7nBoqldZklfZjVNT1u+YLLl+1YglwYJQFsm0rlq/7vi4aqCEJufPLMndrv3HpspOVEHvzV6wlTqDqTzTJanpboX1ZwGoAMYNZoEnsnk7LxA+svrvowEBsklMss1VceCH7yKwmbs5KKb07fJi6tmPcvnh3xnIrqP8TwsYygJLxU8OctrHSAjczaHOXisehuCGIiJpc0kLBVKnrJ8iOm8QMjMsMm8jwpy0wQjGNnLXbaU2217ZRycoXuQEkEKxni8oM8EIp3DGd7FMtXLKyC8MqW78pSZ+om8rLwlTHUQGAm8fA0CmgPBEW/J8jarBKSsjnusQPynZfQx8CgFba5mAYQAEzc2huOIiQfJkjQMaq8Ff0Y74LFiX6YwD+JsbPusJmHLfarMQxXAKlHBq5a8P22XBGWKTskABW28MU1grzZgARgAGec8vYoINuqMsKXLBJSZS/LAJpFwG0dZBuSMUxkMF08gQ69QIgmIw6VB4VGQPm8ACGRc3/YBnR7jvRL1zRsWm7s4moOOB0MmA4JVYenfbKgEPED6KYK41VnofE8ayeQXnIwkjTq3ew9cyrOw0DPZ1D1vi1P7ZZIhw3lTFZZAxTS22a4oSafprNUN07o/yJVH3KMxvOw4MDDXNnf9vVyfNr3YIeqbamyktMJnaPZl0EhzmHM30oMo2rEMyrGMy1JTAg1UaD3eI5ztpUDhoDSmGN0TrG5lPGTj2thD2oUn3CNZrYLBnOUpMv4vQFXD3SvTI2kcgssqU+K13TuczZnT3PDKtmiBnMbU3abNq9MLiUtv3arHVu5VF9i1qrP/K2KGqUTe3JT22J8mvRbYnYcIy/WICV//dg3OeME5+SPe/8xwbjABUA3dENatON3TQt2k1c3Zwr0NIEAR53DhfwyHX0KeUxAJQENZPqAa/j1xBh24ENt7nd3tsMn4j9zajM0XNz4qdwY/eNAwUQUDfjI+ojW+Q9xIrbwGndMc4r4FfHNQ6dyThOvWuNvTl9nAHN06ddAsCzMbu4m64NA+oYObD7urWt3pT1yRRd2O+N0bRZ4oqd4pFT3U/BDub8nHLgo0GtZmLNvPLDNTq+4zOB1vTsxL1Iwdn9g1or18sTfAAJAH5E1BeLvluLKucNsul92+sN4tvo3txM4noLM6F021ZFAAlBArX8XJPUN9ghWZEJADCl5v9A3lRu/uZNuyzTW3/VfasIDtDGG9dIXkcQUwFXY5sJDUNup7SloWYbztfo+eEuHOJRnYXdbMryvdGYnBBaFlUUIRkDEtnAB0jthh1/9mJI/ulaOzaFLuAxPeSU+1aLfApurd0NGXiwHlc66+TxYzNyYGOYvL6cXOWSSLIeCcpqLIGGXajCntHEbuLsTkx8GQcNwOwhBBke8AsQ0C2qkB7dZFWFW+PubOozIOqjzsuICeoIuwMHDgPWmeDeHrHVDb5QInt/LnbTEnwEALK6bs3wLuXyjuW7nYW9TcP67uXsTisEQAABgSxoY1pkPg0bkAn6qQGMxpgLr2XtXOqgnsD/oy7KhiznBr7tlaTTEd7q1W1V1WVxtC6fNOcbrLun756aV67boqzlbuzNjh7OSa5Jdwe1DjBTkW2FrGCugqW+vHUDnx7gSl/v+ljnqI7xwrjxRj71t7QB6CW3544QAJAj6sHr7Ov1LDpUaHyyiz7ivt3lwP3lzVEKFpCqiB8DKOApBRFFYKGfkmgYXQl/Plrtm433cRPnvnwoHE92/1zkeO7qM1BkNOjnzXwDwjMfAOC3Ku/uh27l7K3oIk6/jZ4DV3281mcARr1mrlwJp8Iao19gIDYcFLObRu/fSF/W2U7goL1i227nsGcZUp+MtY/FuC8DWJ/xraRVhA7Rwg/v/9jM8mG/xmOP71xu9pcPkCClFDoDAp62QdrgQIe6HgvzEGyzIaqSHBcQsX3xdnq9k6Ei7DUcvCOz6XxCo9JDQPEcbIpOSaXzcE4c2iaXgGsmix6nBmBxzgCbpway+TQfAMZm3UwQ3DV5ZG00OAFuLDEhaGjUNFl0VEg4VSVgOD08VHA4UShYGDgJAAAUOC04VABkMgU4YJjiHbnAIDkEHHAAZGAwOP08BDURAcMpTSkvMzcfIFiBiR0zcXW8NYWNVXdhM6UZsbnBbVj0sQUKDG5gnP8F0h4RYjgcvis6NT46SVJa3rhiMqzTp1CjmpQ65UQHgINMMpiqMKGJrRg9Sv/pmsAqGhNhxJgYe5JkkbOSJp1VuTJtS5cv2cSE40bA25Ek7eiMQ5Olgh8mCuyoY0JITs8jieIJ8VDBgCFEBCqQFKIPEpN+lZpcCnhkEwNPTUCJImUKFUVTDo9AdKAh1QuLPT7sGGCK4xGPTkIii3pyL1+sdI9g2XbEmksm2mIO7oZMjTiaQmYwLSqkjiChG4g6rcykkD0mifSymMpv0tVXADVN8soE7FkhCckyWWDWSQYSf3tUrAYAFoDbLOwWW5m3L3G+DTJIhvZEG7XEXqQJFlLmzLdYcxqTY0on3TrM95D2UMq0s9FAoFeIjkT6HybUBL8aFKuwyQUGCVI0yYD/wveK3EwY9hYMEHcJh0YyMiBXnIJQYIDHBbBRwd8KzLF0DRg7VegYLow10YaGMhQiWQ8/bRCUPBsEQp4QRw2yVFPvQJWPI1QdYRV7WgkxkGpHsCYfhEJcEAp+D+3H1i1lBdgEcCAVWB1JGKjz4IJTJrXWAQPQhAAAXnA5jJcPWAAAK152yWUbG2zwpRdfhslKmWQ+cGaaa9K5SZsAbJJnnlya4gCXf3p5p56DDiMmAAkQqqehFgxapwOXaZBonotK6sUqAES65yZrMuDAKnWq+SimknLlaUubovoAmr2BuuYDnX6aqp4JzOUqoQoAsIqaqdJagQNwDoormqSCacqW/3DSKWyauwZq6JtdFrtIA2dk8CGVCmKQwQEFLHCtt9+CG66445Jr0o/lHpDttt2i21cGH0zUrrzz0luvvfeW+268+PLbr7//AhywwAMT58EAQsTrwQT7/juBHwtP0NkAIvIbsQoKL/zwwgE3wPDEKzRwsMAiq7DxxRkDrDALFqsQMsFPeLCARQRMRAEPEWhgTwEU9OsBApBQgMoHAdDyQQ0c6PIBjvM2YAEeAqTggQEN0BJAJRAwbO8ECcRLDAYDJHBwASnQfIABJtLbAARkYcADBwUEwHMDawmwdL0FzFxzBANYBIEHDR4Q9MtkWISBLhQgMIAGE2SQQFARMKDtvf8XQCJBEI2vQMAaFkiegIrzdoDHBJwfYIIKda8g9Uf2WhAvAagYcIHZDtQggEsSuFUvBmQtkIIEXyxQwQM9ZaBAafVGYBEChxvgAekJRIANloMzEcGQV3agMDYLBAQlvhfowgIBQQHeAioDtEZvB2hTwLMK2a98fb0WkCdADFxvG4PfVJyH7u4seKADE0CA7BpAFwrsiF4fyN0EhtcfXRjgYBxgF/V6EAEJ4OEDBWBYBCJwCAlIQHL38oAEIqCOCVzARB5AygQkgLZ6DeCCB1vA8RinggFwIAIUk1cGSjgRCXCgJx000Qck8Dl5NaCE2srAAkSYgQ6q4ILgQR4GD6AMwX3RkAUCkADJxhUCADs=" alt="Observed and simulated crop yield (lines) for a grid cell in western India taken from the study of Challinor et al. (2004). Bars indicate total rainfall during the simulated development period of the crop (planting to physiological maturity)." data-path-from-xml=jexboterp062f02_lw.gif><div class=graphic-bottom><div class="label fig-label" id=label-9235645>Fig. 2.</div><div class="caption fig-caption"><p class=chapter-para>Observed and simulated crop yield (lines) for a grid cell in western India taken from the study of <span class=xrefLink id=jumplink-bib26></span><a href=javascript:void(0) reveal-id=bib26 data-open=bib26 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Challinor <em>et al.</em> (2004)</a>. Bars indicate total rainfall during the simulated development period of the crop (planting to physiological maturity).</p></div><div class="ajax-articleAbstract-exclude-regex fig-orig original-slide figure-button-wrap"><a class="fig-view-orig js-view-large at-figureViewLarge openInAnotherWindow" role=button aria-describedby=label-9235645 href=https://academic.oup.com/view-large/figure/9235645/jexboterp062f02_lw.gif data-path-from-xml=jexboterp062f02_lw.gif target=_blank data-google-interstitial=false>Open in new tab</a><a class=download-slide role=button aria-describedby=label-9235645 data-section=9235645 href="https://academic.oup.com/DownloadFile/DownloadImage.aspx?image=https://oup.silverchair-cdn.com/oup/backfile/Content_public/Journal/jxb/60/10/10.1093/jxb/erp062/2/jexboterp062f02_lw.gif?Expires=1761842668&amp;Signature=qvRsFEvSBQZk1I1sKM6UxwrTxnOvMRIZsriWB0petyC4yiwXGVlYryf5dPYMvrOxPtoSDT9JwDc5S68rLstHV4Ti8C7mK1c1xuLcejBf5CFw8QBkkDmt2MRnMx4jBT3kVPtLuzTTDZh~i8Xm1NUuruqnWspaXd2TFvPgsDo~2S83AZBYlHAPUQ9On6cFCblIwnnXMXTanMBtp5WXTAuLN62VP~b5fnsv1uCdKmZcSbPzYsP~SH6yWf-M~u1WqIWRl0T6Xn1qNoqsoap9Epv3FwTtIPTAhim~BBySwBPLcjunOEAQSg9--UKS3NusHEVUyKOQXFBwoAaIUdq2QXz1cQ__&amp;Key-Pair-Id=APKAIE5G5CRDK6RD3PGA&amp;sec=9235645&amp;ar=575054&amp;xsltPath=~/UI/app/XSLT&amp;imagename=&amp;siteId=5304" data-path-from-xml=jexboterp062f02_lw.gif data-google-interstitial=false>Download slide</a></div></div></div></div> <a id=9235646 scrollto-destination=9235646 data-google-interstitial=false></a>
<div data-id=fig3 data-content-id=fig3 class="fig fig-section js-fig-section" swap-content-for-modal=true><div class=graphic-wrap><img class=content-image 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" alt="Time series of rainfall, starting with the simulated planting date, from two of the years shown in Fig. 2. Redrawn from Challinor et al. (2004)." data-path-from-xml=jexboterp062f03_lw.gif><div class=graphic-bottom><div class="label fig-label" id=label-9235646>Fig. 3.</div><div class="caption fig-caption"><p class=chapter-para>Time series of rainfall, starting with the simulated planting date, from two of the years shown in <span class=xrefLink id=jumplink-fig2></span><a href=javascript:void(0) data-modal-source-id=fig2 class="link xref-fig" data-google-interstitial=false>Fig. 2</a>. Redrawn from <span class=xrefLink id=jumplink-bib26></span><a href=javascript:void(0) reveal-id=bib26 data-open=bib26 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Challinor <em>et al.</em> (2004)</a>.</p></div><div class="ajax-articleAbstract-exclude-regex fig-orig original-slide figure-button-wrap"><a class="fig-view-orig js-view-large at-figureViewLarge openInAnotherWindow" role=button aria-describedby=label-9235646 href=https://academic.oup.com/view-large/figure/9235646/jexboterp062f03_lw.gif data-path-from-xml=jexboterp062f03_lw.gif target=_blank data-google-interstitial=false>Open in new tab</a><a class=download-slide role=button aria-describedby=label-9235646 data-section=9235646 href="https://academic.oup.com/DownloadFile/DownloadImage.aspx?image=https://oup.silverchair-cdn.com/oup/backfile/Content_public/Journal/jxb/60/10/10.1093/jxb/erp062/2/jexboterp062f03_lw.gif?Expires=1761842668&amp;Signature=RFKkoon3BolLKND-0mvprgUAqG91XPwzrp52YFohqNN5XRxn5j722suxPjty~lDkySxnCoL48ZwLllyeQ~ecy6M9GgYMmb5HXioJU3L3RUXbGWIWsv4rjRGr4iGvD9i8UE8JtWpEX~N7s7IlZ0XELTgVVXdRVi5PD~7lS5gxmaui9IZL7~GmN4S8FhXAWcegpB1rMOYs7S-68p9RylhAlD2LlOtE9hxlwyBjsX4FHdbEg5jLVJbPu0lU~EHJ2~kc-0gQovjxRX03iXinPR4UxehF2UKG5FU4i-~MBQg-e-iXU2zNSkiyL3kjZq1AQNnv5Tqgr0-DNw9M5Ydse5lPmA__&amp;Key-Pair-Id=APKAIE5G5CRDK6RD3PGA&amp;sec=9235646&amp;ar=575054&amp;xsltPath=~/UI/app/XSLT&amp;imagename=&amp;siteId=5304" data-path-from-xml=jexboterp062f03_lw.gif data-google-interstitial=false>Download slide</a></div></div></div></div><p class=chapter-para>The predictability of the above indirect influences of increased atmospheric greenhouse gases varies across environmental variable and across space. Temperature is generally more predictable than rainfall, for example, and consensus across climate models in tropical seasonal total rainfall tends to be weaker than consensus at mid and high latitudes. The lead time of a forecast also affects the predictability: any prediction of weather beyond a few days contains inherent uncertainties, which can amplify as the predictions are made further into the future. At multidecadal time scales, it is uncertainties in the concentrations of greenhouse gases that limit predictability. Further discussion on this topic can be found in <span class=xrefLink id=jumplink-bib17></span><a href=javascript:void(0) reveal-id=bib17 data-open=bib17 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Challinor <em>et al.</em> (2009<em>b</em>)</a>.</p> <h4 scrollto-destination=9235656 id=9235656 class="section-title js-splitscreen-section-title">Interactions between biophysical processes:</h4>
<p class=chapter-para>Crop yield is the result of many non-linear interactions between a range of processes, including those outlined above. Experimental field studies and crop models are two complementary tools that can be used to examine these interactions. The importance under field conditions of interactions between elevated CO<sub>2</sub> and other factors such as ozone exposure and temperature, water, and nitrogen stress is not fully understood. Evidence from field experiments is limited and also points in different directions.<p class=chapter-para>Consider as an example the interaction between water stress and CO<sub>2</sub>. From a physiological perspective, water-stressed crops are expected to show greater CO<sub>2</sub> stimulation than well-watered crops. This expectation has been cited in the literature as a reason for believing that rainfed cropping systems will benefit more from elevated CO<sub>2</sub> than irrigated systems (<span class=xrefLink id=jumplink-bib61></span><a href=javascript:void(0) reveal-id=bib61 data-open=bib61 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>IPCC, 2001</a>; <span class=xrefLink id=jumplink-bib35></span><a href=javascript:void(0) reveal-id=bib35 data-open=bib35 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Easterling <em>et al.</em>, 2007</a>). <span class=xrefLink id=jumplink-bib122></span><a href=javascript:void(0) reveal-id=bib122 data-open=bib122 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Tubiello and Ewert (2002)</a> showed that for a range of models and observations, water-stressed crops did indeed show a greater percentage increase in yield under elevated CO<sub>2</sub>. However, when <span class=xrefLink id=jumplink-bib20></span><a href=javascript:void(0) reveal-id=bib20 data-open=bib20 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Challinor and Wheeler (2008<em>a</em>)</a> reviewed FACE meta-analyses and presented results from a range of crop models, this response was not seen consistently in either the models or the observations. Detailed analysis led to the preliminary conclusion that the relationship between water stress and assimilation may vary with spatial scale. The associated level of model complexity was also shown to be a factor. Despite the lack of a consistency across studies, model comparison studies with the few experiments available have shown that, at the field scale, crop responses to elevated CO<sub>2</sub> can be satisfactorily reproduced for a range of models under a range of conditions of water availability (<span class=xrefLink id=jumplink-bib42></span><a href=javascript:void(0) reveal-id=bib42 data-open=bib42 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Ewert <em>et al.</em>, 2002</a>; <span class=xrefLink id=jumplink-bib7></span><a href=javascript:void(0) reveal-id=bib7 data-open=bib7 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Asseng <em>et al.</em>, 2004</a>), nitrogen supply (<span class=xrefLink id=jumplink-bib65></span><a href=javascript:void(0) reveal-id=bib65 data-open=bib65 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Jamieson <em>et al.</em>, 2000</a>), and ozone exposure (<span class=xrefLink id=jumplink-bib43></span><a href=javascript:void(0) reveal-id=bib43 data-open=bib43 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Ewert <em>et al.</em>, 1999</a>; <span class=xrefLink id=jumplink-bib128></span><a href=javascript:void(0) reveal-id=bib128 data-open=bib128 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>van Oijen and Ewert, 1999</a>).<p class=chapter-para>Ozone also interacts with the environment in a way that alters its effect on plants. Since these interactions are non-linear, assessing the response of crops to future ozone concentrations requires consideration of future changes in atmospheric CO<sub>2</sub> and other environmental variables affecting plant function and stomatal conductance (<span class=xrefLink id=jumplink-bib46></span><a href=javascript:void(0) reveal-id=bib46 data-open=bib46 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Fuhrer, 2003</a>; <span class=xrefLink id=jumplink-bib6></span><a href=javascript:void(0) reveal-id=bib6 data-open=bib6 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Ashmore, 2005</a>; <span class=xrefLink id=jumplink-bib56></span><a href=javascript:void(0) reveal-id=bib56 data-open=bib56 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Harmens <em>et al.</em>, 2007</a>). The interaction between ozone and CO<sub>2</sub> is mediated by stomata, which, in addition to admitting ozone, allow CO<sub>2</sub>, water vapour, and oxygen to pass in and out of the plant during photosynthesis and respiration. Increased atmospheric CO<sub>2</sub> reduces stomatal conductance, and the flux of ozone into the plant, and can provide additional carbon for repair and detoxification against ozone damage (<span class=xrefLink id=jumplink-bib103></span><a href=javascript:void(0) reveal-id=bib103 data-open=bib103 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Royal Society, 2008</a>).<p class=chapter-para>The interactions between ozone and carbon dioxide have implications for the way in which ozone damage is modelled. Dose–response relationships based on ozone flux are preferable to atmospheric ozone exposure (e.g. accumulated dose over a threshold of 40 parts per billion, AOT40; see <span class=xrefLink id=jumplink-bib47></span><a href=javascript:void(0) reveal-id=bib47 data-open=bib47 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Fuhrer <em>et al.</em> 1997</a>), since they are able to account for the varying influences of temperature, water vapour, radiation, soil water, phenology, and atmospheric ozone on ozone uptake. With exposure-related indices, different meteorological and environmental conditions may result in a given atmospheric ozone exposure producing different crop impacts. In addition, several studies have shown that plant response is more closely related to stomatal ozone flux than to a time-integrated atmospheric ozone exposure (<span class=xrefLink id=jumplink-bib93></span><a href=javascript:void(0) reveal-id=bib93 data-open=bib93 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Pleijel <em>et al.</em>, 2000</a>). This puts a high priority on the development of coupled process-based models that explicitly calculate the stomatal flux of ozone into the crop, and its dependence on a range of environmental drivers. Limited efforts have so far been made to model ozone effects at the explanatory process level, accounting for interactions with other factors such as CO<sub>2</sub> and climate (<span class=xrefLink id=jumplink-bib43></span><a href=javascript:void(0) reveal-id=bib43 data-open=bib43 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Ewert <em>et al.</em>, 1999</a>; <span class=xrefLink id=jumplink-bib128></span><a href=javascript:void(0) reveal-id=bib128 data-open=bib128 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>van Oijen and Ewert, 1999</a>; <span class=xrefLink id=jumplink-bib40></span><a href=javascript:void(0) reveal-id=bib40 data-open=bib40 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Ewert and Porter, 2000</a>; <span class=xrefLink id=jumplink-bib127></span><a href=javascript:void(0) reveal-id=bib127 data-open=bib127 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>van Oijen <em>et al.</em>, 2004</a>). The validity of these approaches for large-scale applications awaits further testing against reliable experimental data. Such data are still scarce (<span class=xrefLink id=jumplink-bib128></span><a href=javascript:void(0) reveal-id=bib128 data-open=bib128 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>van Oijen and Ewert, 1999</a>; see also <span class=xrefLink id=jumplink-bib75></span><a href=javascript:void(0) reveal-id=bib75 data-open=bib75 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Long <em>et al.</em>, 2006</a>) and are urgently required for a range of important crop species under a range of climatic conditions.<p class=chapter-para>Abiotic stresses are also likely to interact with biotic stresses. For example, the effects of ozone on plant function (allocation of resources to ozone resistance) and structure (e.g. leaf damage) may leave plants more susceptible to damage from pests, disease, and extreme weather, which are themselves likely to be affected by global climate change. Detailed discussion on biotic stresses is beyond the scope of this review.</p> <h2 scrollto-destination=9235666 id=9235666 class="section-title js-splitscreen-section-title">Generating useful information</h2>
<h3 scrollto-destination=9235669 id=9235669 class="section-title js-splitscreen-section-title">Ensuring reliability</h3>
<p class=chapter-para>How can the progress highlighted above be used to generate useful information? At least two conditions apply (see <span class=xrefLink id=jumplink-bib90></span><a href=javascript:void(0) reveal-id=bib90 data-open=bib90 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Patt and Gwata, 2002</a>): useful information should be both reliable and relevant to the user of the information. The existence of complex interactions such as those described above presents a challenge to the reliability of process-based crop models. As shown above, mechanistic modelling necessarily involves a reduction of real-world processes to a set of fallible rules. A model that is too simple will fail to represent some of the interactions that strongly influence output variables. A model that is too complex will have more parameters than can be constrained by observations, increasing the risk of reproducing observations without correctly representing the processes involved. Some parameters are not directly observable, and must be inferred as part of the calibration procedure. The risk of overtuning—where the right answer is obtained for the wrong reason, due to an excess of tuneable parameters that cannot be related directly to observations—is compounded by the existence of non-linear interactions in biological systems. A range of observations under a range of conditions is therefore needed to ensure that each of these interactions is correctly represented. When an overtuned model is run in a new environment (such as under climate change), the errors may be large. This implies that, despite the progress highlighted above, we should be wary of being overconfident in our assessments of the impacts of climate change, especially where it is based on the ‘validation’ of a model followed by subsequent ‘black box’ use of that model (see Monteith, 1996). Judicious model choice and calibration are therefore crucial, as is the evaluation of historical performance (<span class=xrefLink id=jumplink-bib36></span><a href=javascript:void(0) reveal-id=bib36 data-open=bib36 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Easterling <em>et al.</em>, 1996</a>), if our simulations are to be consistently accurate (i.e. reliable).<p class=chapter-para>Calibration parameters may be process based, acting on, for example, leaf area index (<span class=xrefLink id=jumplink-bib26></span><a href=javascript:void(0) reveal-id=bib26 data-open=bib26 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Challinor <em>et al.</em>, 2004</a>) or soil fertility (<span class=xrefLink id=jumplink-bib12></span><a href=javascript:void(0) reveal-id=bib12 data-open=bib12 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Boote and Jones, 1998</a>). Calibration may also be applied to model output as a yield correction factor (<span class=xrefLink id=jumplink-bib63></span><a href=javascript:void(0) reveal-id=bib63 data-open=bib63 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Jagtap and Jones, 2002</a>; <span class=xrefLink id=jumplink-bib15></span><a href=javascript:void(0) reveal-id=bib15 data-open=bib15 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Casellas <em>et al.</em>, 2009</a>). A range of more detailed approaches have also been tried and compared (<span class=xrefLink id=jumplink-bib62></span><a href=javascript:void(0) reveal-id=bib62 data-open=bib62 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Irmak <em>et al.</em>, 2005</a>). The potential for overtuning means that calibration should be performed by using observations of as many growth variables as possible. For example, leaf area index can be used in addition to yield (<span class=xrefLink id=jumplink-bib50></span><a href=javascript:void(0) reveal-id=bib50 data-open=bib50 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Guerif and Duke, 2000</a>; Jones and Barnes, 2001). Internal consistency checks are also very important in spotting unrealistic simulations. Possible checks include radiation-use efficiency and specific leaf area (where these are not input parameters; see, for example, <span class=xrefLink id=jumplink-bib26></span><a href=javascript:void(0) reveal-id=bib26 data-open=bib26 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Challinor <em>et al.</em>, 2004</a>). Checks such as these can be combined with the methods outlined above: observations can be used to constrain ensembles of crop simulations (<span class=xrefLink id=jumplink-bib20></span><a href=javascript:void(0) reveal-id=bib20 data-open=bib20 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Challinor and Wheeler, 2008<em>a</em></a>). This approach can result in a reduction in the associated uncertainty from the estimates with unconstrained ensembles, as shown by Challinor <em>et al.</em> (2008<em>a</em>). That study, which accounted for both crop and climate uncertainty, also showed that, for the region and crop studied, doubled CO<sub>2</sub> without adaptation was highly likely to result in a reduction in yield. Thus quantifying uncertainty does not preclude relatively certain statements. Ensemble methods can ensure that we avoid unwarranted precision in our simulations, and observations can ensure that we avoid unnecessarily large uncertainty ranges.</p> <h3 scrollto-destination=9235675 id=9235675 class="section-title js-splitscreen-section-title">Informing adaptation</h3>
<p class=chapter-para>Once we are confident that our estimates of climate change impacts are reliable, they can be used to create information relevant to the adaptation actions taken by stakeholders. <span class=xrefLink id=jumplink-bib16></span><a href=javascript:void(0) reveal-id=bib16 data-open=bib16 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Challinor (2009)</a> discusses this topic at length, and assesses the potential for adaptation to climate for a crop in India. In that study, a number of existing model results were used to assess the extent to which genotypic variation might be used to adapt to climate change. The requisite crop genetic properties determined from the simulations were compared with those of existing germplasm. Interestingly, a separate study showed that under doubled CO<sub>2</sub> in India, the uncertainty in the simulation of adapted crops may be greater than that of non-adapted crops (Challinor <em>et al.</em>, 2008<em>a</em>).<p class=chapter-para>When considering adaptation, it is important to consider how weather and crop yield forecasts will be used, and what spatial and temporal scales will be the most appropriate for the users. Useful weather/climate forecasts can range from a few days ahead for some crop management decisions, to decades in the future for infrastructure and strategic planning. For example, ensemble climate modelling can be used with crop models in order to predict crop yield a season ahead of the harvest (<span class=xrefLink id=jumplink-bib19></span><a href=javascript:void(0) reveal-id=bib19 data-open=bib19 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Challinor <em>et al.</em>, 2005<em>c</em></a>). Information should also be provided in relevant formats (<span class=xrefLink id=jumplink-bib117></span><a href=javascript:void(0) reveal-id=bib117 data-open=bib117 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Stone and Meinke, 2005</a>). Whether the information best suited to users is based on computer-intensive systems, or on less high-tech systems such as observational networks and capacity building, depends to a large extent on the particular users considered (see, for example, <span class=xrefLink id=jumplink-bib91></span><a href=javascript:void(0) reveal-id=bib91 data-open=bib91 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Patt <em>et al.</em>, 2005</a>). In Africa, for example, a prudent way to address the threat of climate change may be to focus on strategies for coping with climate variability, rather than longer term climate change (<span class=xrefLink id=jumplink-bib132></span><a href=javascript:void(0) reveal-id=bib132 data-open=bib132 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Washington <em>et al.</em>, 2006</a>). This may mean a greater focus on <em>in situ</em> and remotely sensed observations as well as consideration of the multiple stresses that act on food security (<span class=xrefLink id=jumplink-bib49></span><a href=javascript:void(0) reveal-id=bib49 data-open=bib49 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Gregory <em>et al.</em>, 2005</a>; <span class=xrefLink id=jumplink-bib52></span><a href=javascript:void(0) reveal-id=bib52 data-open=bib52 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Haile, 2005</a>; <span class=xrefLink id=jumplink-bib130></span><a href=javascript:void(0) reveal-id=bib130 data-open=bib130 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Verdin <em>et al.</em>, 2005</a>).<p class=chapter-para>In the seasonally arid regions of the developing world, people are particularly vulnerable to interannual and intraseasonal rainfall variability, through dependence on rainfed agriculture. The skill of forecasts is also often higher in these mid-latitude regions than it is further north (<span class=xrefLink id=jumplink-bib34></span><a href=javascript:void(0) reveal-id=bib34 data-open=bib34 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>DTI, 2001</a>). Hence the potential benefits of climate forecasting may be particularly high in tropical regions, where there may be strong relationships between climate and impact variables such as crop yield (see also <span class=xrefLink id=jumplink-bib133></span><a href=javascript:void(0) reveal-id=bib133 data-open=bib133 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>WCRP, 2007</a>).</p> <h2 scrollto-destination=9235681 id=9235681 class="section-title js-splitscreen-section-title">Future trends and challenges: holistic impacts and adaptation research</h2>
<p class=chapter-para>Having reviewed progress in modelling the impact of climate change on crops, and examined how reliable and useful information may come from this endeavour, what can be said of the progress needed in the near future? Part of generating relevant and reliable information is synthesizing knowledge effectively and applying it appropriately. One of the tools that enables this endeavour is the hardware on which models are run. Ongoing increases in computer power create the potential for increasingly sophisticated modelling techniques. For climate and impacts modellers, this presents a choice (see <span class=xrefLink id=jumplink-bib17></span><a href=javascript:void(0) reveal-id=bib17 data-open=bib17 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Challinor <em>et al.</em>, 2009<em>b</em></a>): increase the complexity of the model, increase the number of simulations, or increase the spatial resolution. Increases in complexity are subject to the constraints identified earlier. Increases in the number of simulations create larger ensembles and hence more objective quantification of uncertainty (see above). Increases in spatial resolution will permit analyses across a broader range of spatial scales. This in turn may create one of the ingredients in a synergistic modelling approach that aims to increase the accuracy and reliability with which yield is simulated.</p> <h3 scrollto-destination=9235684 id=9235684 class="section-title js-splitscreen-section-title">Synergistic approaches to yield prediction</h3>
<p class=chapter-para>Efforts to synthesize knowledge on the response of crops to climate change have increased in recent years (see <span class=xrefLink id=jumplink-bib35></span><a href=javascript:void(0) reveal-id=bib35 data-open=bib35 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Easterling <em>et al.</em>, 2007</a>; <span class=xrefLink id=jumplink-bib123></span><a href=javascript:void(0) reveal-id=bib123 data-open=bib123 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Tubiello <em>et al.</em>, 2007<em>b</em></a>). These studies, which review existing modelling efforts and try to form a consensus, are an important part of the process of increasing our understanding. They are faced with a difficult task, since each of the individual studies tends to use only one method for one region, and for a limited number of crops (see above and <span class=xrefLink id=jumplink-bib23></span><a href=javascript:void(0) reveal-id=bib23 data-open=bib23 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Challinor <em>et al.</em>, 2007</a>). In order to address this, some crop model intercomparison studies have been performed (<span class=xrefLink id=jumplink-bib64></span><a href=javascript:void(0) reveal-id=bib64 data-open=bib64 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Jamieson, 1998</a>; <span class=xrefLink id=jumplink-bib128></span><a href=javascript:void(0) reveal-id=bib128 data-open=bib128 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>van Oijen and Ewert, 1999</a>; <span class=xrefLink id=jumplink-bib65></span><a href=javascript:void(0) reveal-id=bib65 data-open=bib65 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Jamieson <em>et al.</em>, 2000</a>; <span class=xrefLink id=jumplink-bib42></span><a href=javascript:void(0) reveal-id=bib42 data-open=bib42 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Ewert <em>et al.</em>, 2002</a>). These have shown that simulations differ across models, due to significant differences in the structure of the models. For example, some models are based on the concept of radiation-use efficiency, whilst others are based on water- or nitrogen-use efficiency; some models emphasize sink development, whilst others focus mainly on sources. Clearly, the structure of a model and the processes considered, including their relative importance, are determined by the aims for which the models are developed. These aims are in part determined by the region for which the model was developed, since there are considerable regional differences in the factors determining crop responses (<span class=xrefLink id=jumplink-bib101></span><a href=javascript:void(0) reveal-id=bib101 data-open=bib101 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Reidsma <em>et al.</em>, 2009<em>b</em></a>).<p class=chapter-para>As a result of this spatial heterogeneity in the determinants of yield, several studies show that crop models have difficulties in reproducing yields at multiple sites (<span class=xrefLink id=jumplink-bib43></span><a href=javascript:void(0) reveal-id=bib43 data-open=bib43 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Ewert <em>et al.</em>, 1999</a>; <span class=xrefLink id=jumplink-bib128></span><a href=javascript:void(0) reveal-id=bib128 data-open=bib128 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>van Oijen and Ewert, 1999</a>), farms (<span class=xrefLink id=jumplink-bib42></span><a href=javascript:void(0) reveal-id=bib42 data-open=bib42 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Ewert <em>et al.</em>, 2002</a>), and regions (<span class=xrefLink id=jumplink-bib100></span><a href=javascript:void(0) reveal-id=bib100 data-open=bib100 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Reidsma <em>et al.</em>, 2009<em>a</em></a>). Unsatisfactory model performance at the regional scale can be due to the inappropriate consideration of factors and processes determining yield variability (<span class=xrefLink id=jumplink-bib100></span><a href=javascript:void(0) reveal-id=bib100 data-open=bib100 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Reidsma <em>et al.</em>, 2009<em>a</em></a>) and/or the aggregation of input data which may inconsistently reproduce the spatial variability of growing conditions (e.g. climate and soils) within a region (e.g. <span class=xrefLink id=jumplink-bib55></span><a href=javascript:void(0) reveal-id=bib55 data-open=bib55 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Hansen and Jones, 2000</a>). Also, factors explaining spatial yield variability across regions can be different from those explaining temporal variability within regions (<span class=xrefLink id=jumplink-bib99></span><a href=javascript:void(0) reveal-id=bib99 data-open=bib99 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Reidsma <em>et al.</em>, 2007</a>, 2009<em>b</em>). Thus, there is no single modelling approach that performs equally well across regions.<p class=chapter-para>Similar reasoning can be applied to simulation across a range of spatial scales, since this is another determinant of the structure of a model. For some scales and regions, climate may be the dominant determinant of crop yield. Where biotic stresses (see, for example, <span class=xrefLink id=jumplink-bib123></span><a href=javascript:void(0) reveal-id=bib123 data-open=bib123 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Tubiello <em>et al.</em>, 2007<em>b</em></a>) or other non-climatic processes dominate, there may be no observed relationship between climate and crops; here, more detailed site-specific modelling may succeed in demonstrating predictability (<span class=xrefLink id=jumplink-bib48></span><a href=javascript:void(0) reveal-id=bib48 data-open=bib48 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Gadgil <em>et al.</em>, 2002</a>; <span class=xrefLink id=jumplink-bib14></span><a href=javascript:void(0) reveal-id=bib14 data-open=bib14 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Carbone <em>et al.</em>, 2003</a>), by explicitly including determinants of yield variability other than climate. <span class=xrefLink id=jumplink-bib9></span><a href=javascript:void(0) reveal-id=bib9 data-open=bib9 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Bakker <em>et al.</em> (2005)</a> showed that the significance of the climate signal increases with spatial scale, suggesting that non-climatic factors such as management or soils may become more important at smaller scales.<p class=chapter-para>Given the importance of scale and geography in determining crop productivity, perhaps the greatest challenge for future syntheses of knowledge on the response of crops to climate change is the balance between generality and specificity in region and scale. Reducing complexity to the most important yield-determining factors and processes may result in different region- and/or scale-specific models. This in itself may reduce the generality of the results. Efforts to improve synergy between crop modelling approaches must therefore choose whether to emphasize generality or specificity. Increasing generality has been proposed by <span class=xrefLink id=jumplink-bib138></span><a href=javascript:void(0) reveal-id=bib138 data-open=bib138 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Yin and van Laar (2005)</a>, who developed improvements to the underlying physiological relationships in the GECROS model, resulting in wider applicability across a range of conditions. <span class=xrefLink id=jumplink-bib1></span><a href=javascript:void(0) reveal-id=bib1 data-open=bib1 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Adam <em>et al.</em> (2009)</a> propose a generic modelling framework that assembles regional-scale models depending on the regions and the relative importance of the determinants of yield in those regions.<p class=chapter-para>The ensemble techniques reviewed above are an attempt to avoid unwarranted precision (i.e. specificity). The techniques have been used to examine the form of the response of crop yield to mean temperature (Challinor <em>et al.</em>, 2008<em>a</em>). The results showed that the response derived from an ensemble systematically varying both climate and crop responses to elevated CO<sub>2</sub> can have a different form from that derived from a study synthesizing a range of disparate results (that of <span class=xrefLink id=jumplink-bib35></span><a href=javascript:void(0) reveal-id=bib35 data-open=bib35 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Easterling <em>et al.</em>, 2007</a>). The results also showed variation in response of crop development and yield to mean temperature across a range of crop models. Similar techniques were used by <span class=xrefLink id=jumplink-bib20></span><a href=javascript:void(0) reveal-id=bib20 data-open=bib20 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Challinor and Wheeler (2008<em>a</em></a>, <em>b</em>), who used a crop simulation ensemble combined with sensitivity analyses on two other crop models. Coupled with observational studies, approaches such as these can be used to understand the fundamental biophysical processes determining crop yield across scales and across regions.</p> <h3 scrollto-destination=9235690 id=9235690 class="section-title js-splitscreen-section-title">Combining biophysical and socio-economic drivers</h3>
<p class=chapter-para>Biophysical processes are not the only determinants of crop yield and productivity. The role of socio-economic drivers is increasingly being realized by the climate and impacts modelling community. Efforts to increase the reliability, and also the relevance, of predictions are therefore beginning to draw on a parallel body of work that has explored the influence of human action (e.g. adaptation) on crop productivity. Unsurprisingly, these studies show that productivity relies on capital and labour inputs and a range of other factors (<span class=xrefLink id=jumplink-bib83></span><a href=javascript:void(0) reveal-id=bib83 data-open=bib83 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Mendelsohn, 2007</a>). Such factors may trigger a range of inseparable responses in yield, including step-changes (e.g. policy, infrastructure, pest), smooth trends (e.g. technical innovation), or cyclical changes (e.g. crop rotation, rainfall). Drawing on development studies, and household/village-scale livelihoods work in poorer parts of the world (see, for example, <span class=xrefLink id=jumplink-bib2></span><a href=javascript:void(0) reveal-id=bib2 data-open=bib2 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Adger, 1999</a>), a range of more qualitative data suggests that the way farmers adapt to climatic problems results from the complex and unpredictable interactions between society and the environment (<span class=xrefLink id=jumplink-bib89></span><a href=javascript:void(0) reveal-id=bib89 data-open=bib89 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>O'Brien and Leichenko, 2000</a>).<p class=chapter-para>Much of this work has involved asking key informants about how weather-related problems were overcome in the past. As such, these studies tend to use participatory methods (<span class=xrefLink id=jumplink-bib33></span><a href=javascript:void(0) reveal-id=bib33 data-open=bib33 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Dougill <em>et al.</em>, 1999</a>) and find their intellectual foundations in the work of Amartya Sen who studied the causes of 20th century famines and presented his ‘food entitlement theory’. Sen concluded that those socio-economic factors that constrain an individual's ability to switch entitlements are more important in creating a famine than simple meteorological anomalies (<span class=xrefLink id=jumplink-bib107></span><a href=javascript:void(0) reveal-id=bib107 data-open=bib107 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Sen, 1981</a>). Food entitlement theory has been expanded on by researchers doing field work where key interviews, focus groups, and questionnaires are used to conduct studies on how households and villages adapt to overcome weather-related problems (<span class=xrefLink id=jumplink-bib11></span><a href=javascript:void(0) reveal-id=bib11 data-open=bib11 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Bebbington, 1999</a>). Researchers have explored how household members switch between different livelihood strategies (<span class=xrefLink id=jumplink-bib105></span><a href=javascript:void(0) reveal-id=bib105 data-open=bib105 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Scoones, 1995</a>), and found that by diversifying their income sources householders can become less vulnerable to climate variability (<span class=xrefLink id=jumplink-bib51></span><a href=javascript:void(0) reveal-id=bib51 data-open=bib51 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Hageback <em>et al.</em>, 2005</a>). Thus far, however, it has proven difficult to ‘up-scale’ results from these field studies, and current attempts have only generated quite general and qualitative conceptual frameworks (<span class=xrefLink id=jumplink-bib124></span><a href=javascript:void(0) reveal-id=bib124 data-open=bib124 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Turner <em>et al.</em>, 2003</a>; <span class=xrefLink id=jumplink-bib38></span><a href=javascript:void(0) reveal-id=bib38 data-open=bib38 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Ericksen, 2008</a>).<p class=chapter-para>Recent studies have analysed relationships between farm characteristics and yield variability (<span class=xrefLink id=jumplink-bib99></span><a href=javascript:void(0) reveal-id=bib99 data-open=bib99 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Reidsma <em>et al.</em>, 2007</a>, 2009<em>b</em>) across regions in Europe. As evident from these studies, farm intensity, farm size, and land use have been identified as important characteristics for explaining a significant part of the spatial and temporal yield variability. It was also shown that farm diversity in a region can strongly affect (and cancel out) the climate signal (<span class=xrefLink id=jumplink-bib98></span><a href=javascript:void(0) reveal-id=bib98 data-open=bib98 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Reidsma and Ewert, 2008</a>). Considering these farm characteristics in a model evaluation study revealed that some of the deviation of the simulated regional yields from observations could be explained by these characteristics. Yet, the integration of this information into biophysical models remains difficult (<span class=xrefLink id=jumplink-bib131></span><a href=javascript:void(0) reveal-id=bib131 data-open=bib131 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Vincent, 2008</a>).<p class=chapter-para>In order to bring socio-economic and biophysical approaches together and develop formal mathematical models of climate impacts on food security, those socio-economic factors that limit or enhance production and adaptation can be identified and quantified using the same spatial scale as climate models and large-area crop models. Work supporting this has been undertaken by characterizing those socio-economic factors that, in the past, seem to have buffered harvest from drought (<span class=xrefLink id=jumplink-bib45></span><a href=javascript:void(0) reveal-id=bib45 data-open=bib45 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Fraser <em>et al.</em>, 2008</a>) and the development of indicators of socio-climatic exposure (<span class=xrefLink id=jumplink-bib31></span><a href=javascript:void(0) reveal-id=bib31 data-open=bib31 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Diffenbaugh <em>et al.</em>, 2007</a>). Simelton <em>et al.</em> (2009) have shown that regions may be vulnerable to drought due to land, labour, or capital constraints, and that, as regions develop economically, the source of vulnerability may shift from economic constraints to a lack of land or labour. However, these results are preliminary; more work is needed to understand fully how socio-economic processes influence climate–crop relationships, and trends in production, at the regional scale. Once this has been done, the socio-economic and biophysical aspects of crop productivity can be examined together using state-of-the-art methods and at common spatial scales, resulting in more holistic assessments of climate change impacts and adaptation. Methodologies are therefore required that can integrate the main food system processes (<span class=xrefLink id=jumplink-bib104></span><a href=javascript:void(0) reveal-id=bib104 data-open=bib104 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Schmidhuber and Tubiello, 2007</a>; <span class=xrefLink id=jumplink-bib123></span><a href=javascript:void(0) reveal-id=bib123 data-open=bib123 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Tubiello <em>et al.</em>, 2007<em>b</em></a>) and suggesting adaptation options that take account of the full range of stresses on agriculture (see <span class=xrefLink id=jumplink-bib58></span><a href=javascript:void(0) reveal-id=bib58 data-open=bib58 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Howden <em>et al.</em>, 2007</a>; <span class=xrefLink id=jumplink-bib85></span><a href=javascript:void(0) reveal-id=bib85 data-open=bib85 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Morton, 2007</a>). Integrative work such as this needs to be based on an understanding of fundamental processes and their associated uncertainties (see above).</p> <h3 scrollto-destination=9235695 id=9235695 class="section-title js-splitscreen-section-title">Linking simulation with adaptation</h3>
<p class=chapter-para>The challenges identified above have focused principally on increasing the reliability of simulations. How can we go about increasing the relevance of the information produced by crop and climate models? Closer links with efforts to develop adaptation options would seem to be an effective way to do this. For example, plant breeding operates on a 7–10 year time scale, producing the varieties that are best adapted to the environment (<span class=xrefLink id=jumplink-bib8></span><a href=javascript:void(0) reveal-id=bib8 data-open=bib8 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Austin, 1999</a>). This time scale is unlikely to be sufficient to prepare for the increase in extreme events expected under climate change (see <span class=xrefLink id=jumplink-bib97></span><a href=javascript:void(0) reveal-id=bib97 data-open=bib97 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Randall <em>et al.</em>, 2007</a>). Also, plant breeding cannot take place at all the locations where adaptation to climate change will be needed. Just as judicious use of crop models can complement field studies, there is the potential to link simulation studies more closely to plant breeding and other adaptation measures. Such methods could be used to identify the regions where newly bred varieties may perform well, thus broadening their domain of applicability. They also provide a tool for making the simulation studies relevant to a specific adaptation endeavour. A sequence of links is likely to be needed in order to connect simulation and plant breeding; existing concepts [e.g. ideotypes (<span class=xrefLink id=jumplink-bib32></span><a href=javascript:void(0) reveal-id=bib32 data-open=bib32 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Donald, 1968</a>; <span class=xrefLink id=jumplink-bib118></span><a href=javascript:void(0) reveal-id=bib118 data-open=bib118 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Sylvester-Bradley and Riffkin, 2008</a>)] may prove to be a useful part of this.<p class=chapter-para>Efforts such as these can only be carried out with the will and ability of a range of scientists. Our understanding and modelling of climate impacts is based on fundamental physics, biology, and chemistry, and the interactions between them. Our ability to predict is therefore dependent on the quality of our single- and cross-disciplinary research. Similarly, our ability to inform adaptation will depend upon the extent to which we can combine all relevant scientific analyses into holistic assessments. Just as there are many successful studies linking crop and climate science (<span class=xrefLink id=jumplink-bib59></span><a href=javascript:void(0) reveal-id=bib59 data-open=bib59 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Huntingford <em>et al.</em>, 2005</a>; see also <span class=xrefLink id=jumplink-bib112></span><a href=javascript:void(0) reveal-id=bib112 data-open=bib112 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Slingo <em>et al</em>, 2005</a>), it should be possible to link simulation studies more closely with a range of adaptation endeavours.</p> <h2 scrollto-destination=9235698 id=9235698 class="section-title js-splitscreen-section-title">Conclusions</h2>
<p class=chapter-para>There are many complex processes and interactions that determine crop yield under climate change. These include the response of crops to mean temperature, the interaction between water stress and CO<sub>2</sub>, and the interaction between ozone and a range of environmental variables. As a result of this, and of the importance of scale and geography in determining crop productivity, perhaps the greatest challenge for future syntheses of knowledge on the response of crops to climate change is the balance between generality and specificity in region and scale. It is clear that climate impacts research requires appropriate degrees of integration and specialization (<span class=xrefLink id=jumplink-bib17></span><a href=javascript:void(0) reveal-id=bib17 data-open=bib17 class="link link-ref link-reveal xref-bibr" data-google-interstitial=false>Challinor <em>et al.</em>, 2009<em>b</em></a>). To date, efforts to generate knowledge for policy and adaptation have been largely based on syntheses of published studies. Synergistic approaches are now needed that include the following.<ul class=list-simple><li><p class=chapter-para>(i) <em>Reliable quantification of impacts uncertainty</em>. This should be carried out as objectively as possible and is likely to include the use of crop simulation ensembles and/or sensitivity analyses. Since the quantification of uncertainty does not preclude a high degree of certainty regarding some statements, there is every reason to believe that this approach will prove to be productive.</p><li><p class=chapter-para>(ii) <em>Techniques for combining diverse modelling approaches and observations</em>. A focus on processes, employing a range of models and observations in order to increase our understanding of non-linear interactions, is likely to be an effective strategy for reducing uncertainty. Coupled modelling approaches are likely to form a part of this strategy, since non-linear interactions between yield-determining processes may result in complex coupling between; for example, atmospheric composition and climatic drivers. Observations are also important: whilst ensemble methods can ensure that we avoid unwarranted precision in our simulations, observations can ensure that we avoid unnecessarily large uncertainty ranges.</p><li><p class=chapter-para>(iii) <em>Judicious choice and calibration of models</em>, including simulation at appropriate levels of complexity that accounts for the principal drivers of crop productivity. Even when a range of models is combined in some way, judicious choice and use of models is required. Since no one model can claim to represent reality entirely accurately, models should not be calibrated or run as ‘black boxes’. Thus different models may be used for different regions, depending on the relative importance of driving variables in these regions. Also, modelling methods are needed that can account for both the biophysical and socio-economic determinants of crop productivity.</p></ul><p class=chapter-para>In addition to providing a new paradigm for the generation of knowledge, such an approach will lead to reliable methods for linking simulation with adaptation. Thus we can move beyond synthesizing knowledge and begin to make the best use of the huge global effort to understand and predict climate change.<p class=chapter-para>The support of the Economic and Social Research Council (ESRC) is gratefully acknowledged. The work was part of the programme of the ESRC Centre for Climate Change Economics and Policy.</p> <h2 scrollto-destination=9235704 id=9235704 class="backreferences-title js-splitscreen-backreferences-title">References</h2>
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<h3 class=contentmet-text>Citations</h3>
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<span class=__dimensions_badge_embed__ data-doi=10.1093/jxb/erp062 data-legend=never data-style=small_circle data-hide-zero-citations=false data-dimensions-badge-installed=true><a class=__dimensions_Link href="https://badge.dimensions.ai/details/doi/10.1093/jxb/erp062?domain=https://academic.oup.com" target=_blank referrerpolicy=no-referrer-when-downgrade aria-label="335 total citations on Dimensions." style=display:none><div class="__dimensions_Badge __dimensions_Badge_style_small_circle"><div class=__dimensions_Badge_Image>
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<div class="__db_score __db_score_normal">335</div>
<div class="__db_label sf-hidden">CITATIONS</div>
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