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Executive Summary
Global agroclimatic patterns
Crop and environmental conditions in major production zone
Main producing and exporting countries
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Focus and perspectives.
Annex A. Agroclimatic indicators and BIOMSSAnnex
Authors: 超级管理员 | Edit: zenghongwei
Table A.1. July-October 2016 agroclimatic indicators and biomass by global Monitoring and Reporting Unit
| 65 Global MRUs | RAIN Current (mm) | RAIN 15YA dep. (%) | TEMP Current (°C) | TEMP 15YA dep. (°C) | RADPAR Current(MJ/m2) | RADPAR 15YA dep. (%) | BIOMSS Current (gDM/m2) | BIOMSS 5YA dep. (%) | |
| 1 | Equatorial central Africa | 446 | -2 | 25.2 | 0.6 | 1177 | 7 | 1206 | -1 |
| 2 | East African highlands | 451 | -24 | 19.5 | -0.3 | 1154 | 2 | 1297 | -16 |
| 3 | Gulf of Guinea | 951 | 11 | 26.1 | -0.4 | 977 | 0 | 2045 | 3 |
| 4 | Horn of Africa | 67 | -41 | 23.5 | -0.7 | 1303 | 4 | 230 | -41 |
| 5 | Madagascar (main) | 119 | -2 | 21.0 | -0.7 | 1141 | 3 | 374 | -12 |
| 6 | Southwest Madagascar | 37 | -40 | 21.0 | -1.0 | 1219 | 2 | 164 | -32 |
| 7 | North Africa-Mediterranean | 83 | -15 | 24.0 | -0.2 | 1302 | 0 | 353 | -6 |
| 8 | Sahel | 638 | 16 | 28.8 | -0.4 | 1246 | 1 | 1629 | 9 |
| 9 | Southern Africa | 56 | -11 | 21.6 | 0.2 | 1205 | 3 | 211 | -15 |
| 10 | Western Cape (South Africa) | 67 | -58 | 12.8 | 1.1 | 959 | 2 | 292 | -51 |
| 11 | British Columbia to Colorado | 267 | 41 | 11.5 | -0.5 | 1085 | -5 | 936 | 32 |
| 12 | Northern Great Plains | 555 | 97 | 18.1 | 0.0 | 1053 | -5 | 1493 | 58 |
| 13 | Corn Belt | 475 | 16 | 18.7 | 1.0 | 987 | -2 | 1464 | 8 |
| 14 | Cotton Belt to Mexican Nordeste | 399 | -10 | 24.9 | 0.5 | 1143 | 1 | 1185 | -9 |
| 15 | Sub-boreal America | 367 | 34 | 11.6 | -0.4 | 794 | -8 | 1379 | 25 |
| 16 | West Coast (North America) | 135 | 45 | 16.7 | -0.4 | 1237 | -3 | 375 | 25 |
| 17 | Sierra Madre | 592 | -6 | 20.1 | -0.4 | 1226 | 1 | 1543 | -4 |
| 18 | SW U.S. and N. Mexican highlands | 177 | -4 | 21.4 | -0.2 | 1293 | 0 | 662 | 1 |
| 19 | Northern South and Central America | 900 | -4 | 26.9 | -0.2 | 1101 | 4 | 2005 | -2 |
| 20 | Caribbean | 829 | 7 | 27.1 | 0.1 | 1209 | -1 | 1945 | -1 |
| 21 | Central-northern Andes | 311 | -11 | 15.8 | 0.4 | 1152 | 5 | 769 | -5 |
| 22 | Nordeste (Brazil) | 72 | 26 | 27.1 | 0.5 | 1252 | 2 | 220 | 5 |
| 23 | Central eastern Brazil | 205 | -1 | 25.0 | -0.4 | 1142 | 2 | 707 | 3 |
| 24 | Amazon | 393 | 3 | 28.4 | -0.1 | 1160 | 3 | 1187 | 3 |
| 25 | Central-north Argentina | 98 | 5 | 18.3 | -1.2 | 989 | 1 | 356 | 3 |
| 26 | Pampas | 428 | -3 | 15.9 | -0.6 | 897 | 0 | 1015 | -11 |
| 27 | Western Patagonia | 247 | -36 | 7.5 | 0.7 | 729 | -2 | 769 | -11 |
| 28 | Semi-arid Southern Cone | 45 | -35 | 10.6 | -0.1 | 952 | 0 | 205 | -27 |
| 29 | Caucasus | 124 | -27 | 18.5 | -0.7 | 1133 | 0 | 491 | -21 |
| 30 | Pamir area | 217 | 35 | 17.8 | -0.1 | 1233 | -1 | 656 | 35 |
| 31 | Western Asia | 74 | 28 | 23.4 | -0.4 | 1238 | 0 | 260 | 15 |
| 32 | Gansu-Xinjiang (China) | 374 | 175 | 16.8 | -0.2 | 1092 | -3 | 1064 | 132 |
| 33 | Hainan (China) | 1407 | 26 | 27.2 | 0.1 | 1017 | -3 | 2189 | 9 |
| 34 | Huanghuaihai (China) | 438 | -5 | 23.1 | 0.1 | 973 | -4 | 1273 | 1 |
| 35 | Inner Mongolia (China) | 428 | 57 | 15.8 | -0.3 | 1025 | -3 | 1315 | 33 |
| 36 | Loess region (China) | 419 | 14 | 18.3 | 0.4 | 987 | -3 | 1321 | 7 |
| 37 | Lower Yangtze (China) | 673 | 33 | 24.9 | -0.1 | 952 | -8 | 1613 | 16 |
| 38 | Northeast China | 371 | -1 | 15.9 | -0.4 | 931 | -2 | 1257 | 4 |
| 39 | Qinghai-Tibet (China) | 751 | 8 | 12.4 | 0.2 | 1011 | 0 | 1338 | 7 |
| 40 | Southern China | 811 | 9 | 24.7 | 0.0 | 976 | -3 | 1866 | 7 |
| 41 | Southwest China | 539 | -3 | 21.3 | 0.1 | 896 | -1 | 1490 | -5 |
| 42 | Taiwan (China) | 1211 | 23 | 25.2 | -0.2 | 1012 | -5 | 1974 | 16 |
| 43 | East Asia | 440 | -28 | 17.4 | 0.1 | 885 | -2 | 1381 | -8 |
| 44 | Southern Himalayas | 1190 | 17 | 25.4 | -0.3 | 899 | -4 | 1906 | 4 |
| 45 | Southern Asia | 959 | 0 | 27.0 | -0.3 | 892 | -4 | 1678 | -6 |
| 46 | Southern Japan and Korea | 678 | -14 | 23.0 | 1.9 | 922 | -3 | 1589 | -11 |
| 47 | Southern Mongolia | 506 | 201 | 15.1 | -0.3 | 1093 | -3 | 1125 | 97 |
| 48 | Punjab to Gujarat | 689 | 33 | 29.1 | -0.7 | 1008 | -5 | 1224 | 20 |
| 49 | Maritime Southeast Asia | 1025 | 26 | 25.7 | 0.3 | 1001 | -4 | 2109 | 15 |
| 50 | Mainland Southeast Asia | 1297 | 9 | 27.2 | -0.1 | 929 | -1 | 2357 | 6 |
| 51 | Eastern Siberia | 256 | -12 | 10.3 | -1.0 | 793 | -2 | 979 | -16 |
| 52 | Eastern Central Asia | 288 | 19 | 9.4 | -0.7 | 883 | -4 | 1071 | 10 |
| 53 | Northern Australia | 214 | 128 | 24.8 | 1.5 | 1141 | -5 | 650 | 89 |
| 54 | Queensland to Victoria | 176 | 8 | 12.3 | -0.5 | 881 | -7 | 762 | 19 |
| 55 | Nullarbor to Darling | 99 | -53 | 11.3 | -1.5 | 881 | -4 | 422 | -43 |
| 56 | New Zealand | 131 | -55 | 8.8 | 0.4 | 685 | -7 | 544 | -42 |
| 57 | Boreal Eurasia | 325 | -1 | 10.3 | 0.1 | 665 | -5 | 1099 | -6 |
| 58 | Ukraine to Ural mountains | 246 | 4 | 14.6 | -0.5 | 787 | -3 | 994 | -1 |
| 59 | Mediterranean Europe and Turkey | 121 | -26 | 20.3 | 1.4 | 1195 | 1 | 454 | -23 |
| 60 | W. Europe (non Mediterranean) | 256 | -14 | 16.0 | -0.2 | 877 | -1 | 998 | -9 |
| 61 | Boreal America | 464 | 23 | 8.8 | 1.6 | 614 | -3 | 1225 | 9 |
| 62 | Ural to Altai mountains | 237 | 16 | 13.0 | -0.3 | 854 | 0 | 927 | 9 |
| 63 | Australian desert | 93 | 3 | 13.0 | -0.8 | 945 | -5 | 441 | 9 |
| 64 | Sahara to Afghan deserts | 43 | 42 | 29.9 | -0.4 | 1384 | 1 | 152 | 16 |
| 65 | Sub-arctic America | 183 | 62 | -0.1 | 4.1 | 302 | 0 | 756 | 205 |
Table A.2. July-October 2016 agroclimatic indicators and biomass by country
| 31 Countries | RAIN Current (mm) | RAIN 15YA Departure (%) | TEMP Current (°C) | TEMP 15YA Departure (°C) | RADPAR Current (MJ/m2) | RADPAR 15YA Departure (%) | BIOMSS Current (gDM/m2) | BIOMSS 5YA Departure (%) | |
| [ARG] | Argentina | 218 | -6 | 14.6 | -0.8 | 906 | -1 | 604 | -14 |
| [AUS] | Australia | 158 | -1 | 13.2 | -0.5 | 907 | -7 | 678 | 7 |
| [BGD] | Bangladesh | 1729 | 19 | 28.5 | -0.5 | 836 | -6 | 2374 | 6 |
| [BRA] | Brazil | 268 | 1 | 25.4 | -0.2 | 1144 | 2 | 781 | 0 |
| [CAN] | Canada | 359 | 24 | 12.4 | 0.1 | 853 | -6 | 1284 | 25 |
| [CHN] | China | 583 | 14 | 21.3 | 0.0 | 954 | -4 | 1413 | 11 |
| [DEU] | Germany | 226 | -23 | 15.8 | 0.2 | 800 | -2 | 978 | -16 |
| [EGY] | Egypt | 3 | -31 | 26.4 | -0.4 | 1371 | 0 | 16 | -6 |
| [ETH] | Ethiopia | 545 | -21 | 20.3 | -0.3 | 1134 | 2 | 1512 | -13 |
| [FRA] | France | 171 | -41 | 16.7 | -0.2 | 979 | 3 | 709 | -35 |
| [GBR] | UK | 290 | -12 | 13.7 | 0.4 | 694 | -4 | 1128 | -9 |
| [IDN] | Indonesia | 1001 | 36 | 25.7 | 0.2 | 999 | -5 | 2027 | 21 |
| [IND] | India | 1039 | 12 | 27.1 | -0.4 | 895 | -6 | 1696 | 3 |
| [IRN] | Iran | 25 | -39 | 23.1 | -0.5 | 1311 | 1 | 76 | -42 |
| [KAZ] | Kazakhstan | 229 | 56 | 14.6 | -0.8 | 921 | -2 | 840 | 34 |
| [KHM] | Cambodia | 1495 | 29 | 28.0 | -0.6 | 976 | -2 | 2536 | 8 |
| [MEX] | Mexico | 644 | -9 | 24.1 | -0.2 | 1215 | 2 | 1435 | -6 |
| [MMR] | Myanmar | 1237 | -1 | 25.9 | -0.1 | 824 | -2 | 2268 | 0 |
| [NGA] | Nigeria | 888 | 8 | 26.5 | -0.6 | 1051 | 0 | 1981 | 4 |
| [PAK] | Pakistan | 292 | 6 | 27.0 | -0.3 | 1217 | 2 | 666 | 3 |
| [PHL] | Philippines | 1282 | 11 | 26.3 | 0.8 | 1022 | -1 | 2261 | 2 |
| [POL] | Poland | 318 | 28 | 14.9 | -0.6 | 755 | -6 | 1235 | 21 |
| [ROU] | Romania | 207 | -27 | 16.5 | -0.8 | 952 | -1 | 864 | -17 |
| [RUS] | Russia | 240 | -1 | 13.6 | -0.4 | 807 | -2 | 982 | -3 |
| [THA] | Thailand | 1048 | 9 | 27.1 | -0.2 | 967 | 0 | 2271 | 7 |
| [TUR] | Turkey | 75 | -43 | 19.7 | 0.1 | 1214 | 0 | 317 | -37 |
| [UKR] | Ukraine | 190 | -13 | 16.4 | -0.6 | 894 | 0 | 789 | -12 |
| [USA] | USA | 437 | 23 | 20.6 | 0.5 | 1099 | -1 | 1217 | 18 |
| [UZB] | Uzbekistan | 95 | 169 | 21.1 | -0.5 | 1219 | -2 | 327 | 133 |
| [VNM] | Vietnam | 1255 | 12 | 26.6 | 0.3 | 981 | 0 | 2158 | 1 |
| [ZAF] | South Africa | 107 | -12 | 15.5 | 0.3 | 1091 | 2 | 389 | -13 |
Table A.3. Argentina, July-October 2016 agroclimatic indicators and biomass (by province)
| RAIN Current (mm) | RAIN 15YA Departure (%) | TEMP Current (°C) | TEMP 15YA Departure (°C) | RADPAR Current (MJ/m2) | RADPAR 15YA Departure (%) | BIOMSS Current (gDM/m2) | BIOMSS 5YA Departure (%) | |
| Buenos Aires | 203 | -29 | 11.5 | -0.5 | 810 | -5 | 700 | -23 |
| Chaco | 250 | 26 | 18.3 | -1.4 | 950 | 0 | 730 | 8 |
| Cordoba | 109 | -27 | 13.8 | -0.9 | 953 | 0 | 399 | -26 |
| Corrientes | 570 | 34 | 17.3 | -1.0 | 919 | 1 | 1066 | -11 |
| Entre Rios | 242 | -29 | 14.6 | -0.9 | 880 | -2 | 753 | -26 |
| La Pampa | 250 | 23 | 11.8 | -0.5 | 845 | -5 | 791 | 14 |
| Misiones | 672 | 0 | 18.6 | -0.4 | 941 | 3 | 1635 | -1 |
| Santiago Del Estero | 108 | 7 | 17.3 | -1.3 | 979 | -1 | 425 | 14 |
| San Luis | 145 | 9 | 12.6 | -0.5 | 967 | 1 | 459 | -11 |
| Salta | 91 | 72 | 18.2 | -1.0 | 1030 | 0 | 301 | 50 |
| Santa Fe | 208 | -9 | 15.5 | -1.0 | 929 | -1 | 631 | -18 |
| Tucuman | 24 | -54 | 16.3 | -0.8 | 1030 | 3 | 118 | -41 |
Table A.4. Australia, July-October 2016 agroclimatic indicators and biomass (by state)
| RAIN Current (mm) | RAIN 15YA Departure (%) | TEMP Current (°C) | TEMP 15YA Departure (°C) | RADPAR Current (MJ/m2) | RADPAR 15YA Departure (%) | BIOMSS Current (gDM/m2) | BIOMSS 5YA Departure (%) | |
| New South Wales | 193 | 29 | 11.8 | -0.8 | 900 | -8 | 797 | 36 |
| South Australia | 197 | 21 | 11.7 | -0.4 | 817 | -6 | 801 | 21 |
| Victoria | 165 | -24 | 10.3 | -0.1 | 734 | -9 | 781 | -4 |
| W. Australia | 94 | -52 | 12.4 | -1.0 | 911 | -3 | 407 | -42 |
Table A.5. Brazil, July-October 2016 agroclimatic indicators and biomass (by state)
| RAIN Current (mm) | RAIN 15YA Departure (%) | TEMP Current (°C) | TEMP 15YA Departure (°C) | RADPAR Current (MJ/m2) | RADPAR 15YA Departure (%) | BIOMSS Current (gDM/m2) | BIOMSS 5YA Departure (%) | |
| Ceara | 8 | -75 | 28.2 | 0.3 | 1383 | 2 | 44 | -69 |
| Goias | 162 | -7 | 25.5 | -0.5 | 1213 | 3 | 622 | 1 |
| Mato Grosso Do Sul | 291 | 0 | 24.0 | -1.4 | 1112 | 3 | 974 | 3 |
| Mato Grosso | 255 | 6 | 28.4 | 0.1 | 1193 | 2 | 900 | 13 |
| Minas Gerais | 140 | -10 | 23.4 | 0.3 | 1131 | 0 | 521 | -4 |
| Parana | 652 | 12 | 19.3 | -0.6 | 1005 | 3 | 1502 | 3 |
| Rio Grande Do Sul | 634 | -8 | 16.5 | -0.2 | 871 | 1 | 1404 | -14 |
| Santa Catarina | 703 | 2 | 16.1 | 0.0 | 886 | 2 | 1441 | -11 |
| Sao Paulo | 262 | -13 | 21.6 | -0.7 | 1093 | 3 | 878 | -9 |
Table A.6. Canada, July-October 2016 agroclimatic indicators and biomass (by province)
| RAIN Current (mm) | RAIN 15YA Departure (%) | TEMP Current (°C) | TEMP 15YA Departure (°C) | RADPAR Current (MJ/m2) | RADPAR 15YA Departure (%) | BIOMSS Current (gDM/m2) | BIOMSS 5YA Departure (%) | |
| Alberta | 297 | 50 | 10.8 | -0.8 | 857 | -8 | 1161 | 37 |
| Manitoba | 433 | 73 | 13.7 | -0.3 | 846 | -9 | 1555 | 47 |
| Saskatchewan | 335 | 66 | 12.0 | -0.8 | 855 | -10 | 1281 | 48 |
Table A.7. India, July-October 2016 agroclimatic indicators and biomass (by state)
| RAIN Current (mm) | RAIN 15YA Departure (%) | TEMP Current (°C) | TEMP 15YA Departure (°C) | RADPAR Current (MJ/m2) | RADPAR 15YA Departure (%) | BIOMSS Current (gDM/m2) | BIOMSS 5YA Departure (%) | |
| Arunachal Pradesh | 1692 | 10 | 22.5 | -0.5 | 774 | -6 | 2214 | 4 |
| Andhra Pradesh | 807 | 9 | 28.0 | -0.4 | 934 | -3 | 1565 | -9 |
| Assam | 1664 | 18 | 29.4 | 0.1 | 813 | -5 | 2400 | 4 |
| Bihar | 1325 | 38 | 29.2 | -1.1 | 848 | -10 | 2162 | 17 |
| Chhattisgarh | 1323 | 18 | 26.5 | -0.5 | 820 | -9 | 2199 | 9 |
| Daman and Diu | 766 | -24 | 27.4 | -1.3 | 882 | -7 | 1369 | -1 |
| Delhi | 615 | 22 | 29.8 | -0.5 | 1033 | -3 | 1507 | 15 |
| Gujarat | 733 | -3 | 28.5 | -0.5 | 877 | -10 | 1330 | 9 |
| Goa | 539 | -67 | 24.5 | -0.6 | 867 | 7 | 1384 | -35 |
| Himachal Pradesh | 674 | -19 | 15.2 | -0.3 | 1087 | -1 | 1310 | -7 |
| Haryana | 599 | 27 | 29.1 | -0.5 | 1061 | -3 | 1313 | 10 |
| Jharkhand | 1129 | 14 | 27.5 | -0.4 | 873 | -7 | 2139 | 6 |
| Kerala | 469 | -62 | 25.3 | -0.1 | 924 | 6 | 1233 | -43 |
| Karnataka | 469 | -44 | 24.5 | -0.7 | 912 | -1 | 1176 | -27 |
| Meghalaya | 1858 | -12 | 25.5 | 0.3 | 792 | -7 | 2424 | 4 |
| Maharashtra | 1111 | 12 | 25.9 | -0.7 | 818 | -8 | 1787 | 5 |
| Manipur | 1157 | 14 | 23.5 | 0.5 | 832 | -1 | 2209 | 0 |
| Madhya Pradesh | 1413 | 62 | 26.9 | -0.6 | 831 | -11 | 1903 | 15 |
| Mizoram | 1587 | 15 | 23.8 | -0.3 | 865 | -2 | 2407 | 2 |
| Nagaland | 1510 | 19 | 23.4 | 0.8 | 827 | -4 | 2260 | 0 |
| Orissa | 1023 | -12 | 27.5 | -0.1 | 824 | -7 | 2071 | -2 |
| Puducherry | 326 | 0 | 30.0 | - | 1143 | 3 | 1085 | 0 |
| Punjab | 471 | -5 | 28.6 | -0.4 | 1103 | 1 | 1068 | -12 |
| Rajasthan | 809 | 79 | 29.1 | -0.9 | 1015 | -6 | 1337 | 32 |
| Sikkim | 1078 | -17 | 13.1 | -1.5 | 849 | -20 | 1341 | -6 |
| Tamil Nadu | 411 | -31 | 28.6 | 0.6 | 1125 | 5 | 1155 | -26 |
| Tripura | 2139 | 43 | 28.0 | -0.2 | 851 | -4 | 2586 | 9 |
| Uttarakhand | 1061 | 3 | 19.2 | 0.4 | 994 | -2 | 1562 | -1 |
| Uttar Pradesh | 1013 | 29 | 29.1 | -0.5 | 920 | -7 | 1817 | 11 |
| West Bengal | 1433 | 11 | 29.1 | 0.1 | 850 | -6 | 2211 | 4 |
Table A.8. Kazakhstan, July-October 2016 agroclimatic indicators and biomass (by province)
| RAIN Current (mm) | RAIN 15YA Departure (%) | TEMP Current (°C) | TEMP 15YA Departure (°C) | RADPAR Current (MJ/m2) | RADPAR 15YA Departure (%) | BIOMSS Current (gDM/m2) | BIOMSS 5YA Departure (%) | |
| Akmolinskaya | 180 | 20 | 13.1 | -0.9 | 846 | -2 | 791 | 18 |
| Karagandinskaya | 188 | 32 | 12.3 | -1.5 | 896 | -2 | 796 | 25 |
| Kustanayskaya | 157 | 7 | 14.5 | -0.6 | 863 | 0 | 695 | 6 |
| Pavlodarskaya | 226 | 39 | 13.6 | -0.8 | 829 | -2 | 866 | 20 |
| Severo kazachstanskaya | 214 | 10 | 13.4 | -0.2 | 799 | 0 | 928 | 11 |
| Vostochno kazachstanskaya | 333 | 79 | 12.2 | -0.9 | 963 | -2 | 1090 | 49 |
| Zapadno kazachstanskaya | 149 | 51 | 17.5 | -0.4 | 887 | -5 | 677 | 41 |
Table A.9. Russia, July-October 2016 agroclimatic indicators and biomass (by oblast)
| RAIN Current (mm) | RAIN 15YA Departure (%) | TEMP Current (°C) | TEMP 15YA Departure (°C) | RADPAR Current (MJ/m2) | RADPAR 15YA Departure (%) | BIOMSS Current (gDM/m2) | BIOMSS 5YA Departure (%) | |
| Bashkortostan Rep. | 174 | -22 | 14.1 | 0.6 | 830 | 2 | 784 | -19 |
| Chelyabinskaya Oblast | 173 | -21 | 13.5 | 0.2 | 818 | 3 | 811 | -13 |
| Gorodovikovsk | 235 | 1 | 19.4 | -1.4 | 954 | -3 | 968 | -1 |
| Krasnodarskiy Kray | 179 | -32 | 14.3 | -1.0 | 907 | 2 | 826 | -25 |
| Kurganskaya Oblast | 207 | -5 | 13.4 | 0.2 | 787 | 2 | 906 | -3 |
| Kirovskaya Oblast | 259 | -7 | 13.2 | 0.5 | 717 | -1 | 1063 | -10 |
| Kurskaya Oblast | 270 | 28 | 14.8 | -1.0 | 824 | -1 | 1020 | 8 |
| Lipetskaya Oblast | 235 | 11 | 14.6 | -0.9 | 794 | -3 | 970 | 1 |
| Mordoviya Rep. | 204 | -15 | 14.3 | -0.3 | 775 | -3 | 919 | -13 |
| Novosibirskaya Oblast | 205 | -11 | 11.8 | -0.3 | 823 | 5 | 865 | -13 |
| Nizhegorodskaya O. | 216 | -17 | 13.8 | -0.1 | 735 | -3 | 981 | -12 |
| Orenburgskaya Oblast | 149 | 3 | 15.4 | -0.1 | 859 | -3 | 688 | 3 |
| Omskaya Oblast | 197 | -11 | 12.6 | 0.3 | 782 | 3 | 879 | -7 |
| Permskaya Oblast | 188 | -35 | 13.3 | 1.2 | 778 | 8 | 845 | -29 |
| Penzenskaya Oblast | 201 | -6 | 14.5 | -0.5 | 797 | -3 | 908 | -4 |
| Rostovskaya Oblast | 145 | -14 | 18.2 | -0.9 | 942 | -2 | 684 | -10 |
| Ryazanskaya Oblast | 246 | 2 | 14.2 | -0.6 | 757 | -4 | 1032 | -3 |
| Stavropolskiy Kray | 154 | -23 | 19.4 | -1.2 | 946 | -4 | 722 | -15 |
| Sverdlovskaya Oblast | 219 | -16 | 13.2 | 1.1 | 755 | 5 | 938 | -14 |
| Samarskaya Oblast | 193 | 7 | 15.4 | 0.2 | 827 | -2 | 839 | 3 |
| Saratovskaya Oblast | 194 | 29 | 16.4 | -0.4 | 838 | -5 | 826 | 19 |
| Tambovskaya Oblast | 193 | -5 | 14.8 | -0.6 | 799 | -4 | 886 | -4 |
| Tyumenskaya Oblast | 221 | -4 | 12.9 | 0.6 | 771 | 4 | 955 | -3 |
| Tatarstan Rep. | 202 | -11 | 14.8 | 0.4 | 800 | 1 | 898 | -10 |
| Ulyanovskaya Oblast | 247 | 18 | 15.0 | 0.0 | 800 | -3 | 1039 | 12 |
| Udmurtiya Rep. | 209 | -21 | 13.8 | 0.8 | 766 | 3 | 924 | -18 |
| Volgogradskaya O. | 176 | 33 | 17.5 | -1.0 | 881 | -5 | 798 | 28 |
| Voronezhskaya Oblast | 165 | -3 | 15.9 | -0.4 | 847 | -3 | 776 | -2 |
Table A.10. United States, July-October 2016 agroclimatic indicators and biomass (by state)
| RAIN Current (mm) | RAIN 15YA Departure (%) | TEMP Current (°C) | TEMP 15YA Departure (°C) | RADPAR Current (MJ/m2) | RADPAR 15YA Departure (%) | BIOMSS Current (gDM/m2) | BIOMSS 5YA Departure (%) | |
| Arkansas | 376 | -13 | 24.6 | 0.6 | 1100 | -3 | 1223 | -6 |
| California | 71 | 48 | 18.1 | -0.5 | 1366 | -1 | 231 | 25 |
| Idaho | 190 | 77 | 13.4 | -1.0 | 1191 | -4 | 768 | 67 |
| Indiana | 523 | 27 | 21.1 | 1.0 | 1016 | -6 | 1567 | 17 |
| Illinois | 615 | 56 | 21.3 | 0.9 | 1020 | -7 | 1759 | 38 |
| Iowa | 857 | 109 | 19.5 | 0.5 | 1039 | -5 | 2004 | 57 |
| Kansas | 740 | 107 | 22.3 | 0.2 | 1143 | -3 | 1701 | 48 |
| Michigan | 407 | 19 | 18.0 | 1.5 | 973 | -4 | 1391 | 17 |
| Minnesota | 762 | 121 | 16.6 | 0.2 | 961 | -6 | 1873 | 54 |
| Missouri | 703 | 59 | 22.3 | 0.7 | 1070 | -5 | 1754 | 32 |
| Montana | 317 | 127 | 14.3 | -0.9 | 1074 | -6 | 1238 | 95 |
| Nebraska | 558 | 85 | 19.4 | 0.1 | 1119 | -4 | 1589 | 51 |
| North Dakota | 550 | 150 | 15.8 | -0.2 | 985 | -6 | 1646 | 82 |
| Ohio | 436 | 12 | 20.8 | 1.4 | 1032 | -1 | 1480 | 8 |
| Oklahoma | 562 | 55 | 24.5 | 0.1 | 1189 | 0 | 1608 | 40 |
| Oregon | 152 | 41 | 15.1 | -0.7 | 1152 | -4 | 477 | 19 |
| South Dakota | 575 | 126 | 18.5 | 0.2 | 1101 | -1 | 1660 | 72 |
| Texas | 310 | -6 | 26.1 | 0.2 | 1200 | 0 | 985 | -2 |
| Washington | 200 | 56 | 14.8 | -1.0 | 1039 | -8 | 705 | 61 |
| Wisconsin | 741 | 90 | 17.5 | 0.8 | 959 | -5 | 1806 | 40 |
Table A.11. China, July-October 2016 agroclimatic indicators and biomass (by province)
| RAIN Current (mm) | RAIN 15YA Departure (%) | TEMP Current (°C) | TEMP 15YA Departure (°C) | RADPAR Current (MJ/m2) | RADPAR 15YA Departure (%) | BIOMSS Current (gDM/m2) | BIOMSS 5YA Departure (%) | |
| Anhui | 673 | 23 | 24.4 | -0.3 | 932 | -7 | 1568 | 9 |
| Chongqing | 485 | -12 | 22.5 | 0.1 | 881 | -4 | 1410 | -9 |
| Fujian | 704 | 29 | 24.6 | 0.4 | 948 | -10 | 1862 | 29 |
| Gansu | 324 | 1 | 16.4 | 0.7 | 991 | -1 | 1158 | 13 |
| Guangdong | 818 | 18 | 26.3 | -0.3 | 992 | -6 | 1919 | 20 |
| Guangxi | 762 | 18 | 25.9 | 0.0 | 1017 | -1 | 1731 | 10 |
| Guizhou | 437 | -9 | 21.8 | 0.0 | 910 | -1 | 1315 | -7 |
| Hebei | 503 | 46 | 19.5 | -0.2 | 991 | -5 | 1379 | 19 |
| Heilongjiang | 350 | 2 | 15.0 | -0.6 | 914 | -2 | 1246 | 5 |
| Henan | 407 | -15 | 23.3 | 0.2 | 963 | -3 | 1246 | -8 |
| Hubei | 594 | 18 | 23.4 | 0.0 | 931 | -6 | 1401 | -3 |
| Hunan | 650 | 42 | 24.2 | -0.6 | 934 | -8 | 1498 | 15 |
| Jiangsu | 665 | 22 | 24.5 | 0.2 | 921 | -7 | 1645 | 16 |
| Jiangxi | 676 | 46 | 25.6 | -0.3 | 971 | -9 | 1659 | 25 |
| Jilin | 421 | 10 | 16.5 | -0.4 | 943 | -3 | 1345 | 11 |
| Liaoning | 389 | -11 | 18.7 | -0.2 | 975 | -3 | 1228 | -5 |
| Inner Mongolia | 358 | 37 | 15.0 | -0.4 | 1008 | -2 | 1219 | 29 |
| Ningxia | 247 | 11 | 17.6 | 0.8 | 1084 | -1 | 991 | 22 |
| Shaanxi | 463 | 0 | 19.6 | 0.5 | 948 | -3 | 1451 | 3 |
| Shandong | 416 | -11 | 23.0 | 0.5 | 983 | -2 | 1225 | -3 |
| Shanxi | 512 | 44 | 17.4 | 0.1 | 992 | -5 | 1395 | 15 |
| Sichuan | 596 | -2 | 19.9 | 0.2 | 866 | 0 | 1540 | -2 |
| Yunnan | 673 | 0 | 19.6 | 0.0 | 929 | 1 | 1717 | -2 |
| Zhejiang | 620 | 8 | 25.1 | 0.7 | 930 | -9 | 1571 | 4 |