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Authors: 超级管理员 | Edit: zhuliang
Annex A. Agroclimatic indicators and BIOMSS
Table A.1 July - October 2021 agroclimatic indicators and biomass by global Monitoring and Reporting Unit (MRU)
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 15YA dep. (%) | |
C01 | Equatorial central Africa | 628 | -18 | 22.8 | 0.1 | 1244 | 4 | 984 | -3 |
C02 | East African highlands | 714 | -8 | 17.5 | -0.1 | 1161 | -2 | 830 | -5 |
C03 | Gulf of Guinea | 669 | -32 | 25.7 | 1.0 | 1145 | 6 | 1128 | -16 |
C04 | Horn of Africa | 147 | -17 | 21.1 | 0.0 | 1255 | 1 | 497 | -10 |
C05 | Madagascar (main) | 176 | 4 | 19.7 | 0.0 | 1116 | -1 | 593 | 3 |
C06 | Southwest Madagascar | 19 | -46 | 22.3 | 0.1 | 1232 | 1 | 263 | -19 |
C07 | North Africa-Mediterranean | 46 | -46 | 23.9 | 0.6 | 1366 | 2 | 345 | -21 |
C08 | Sahel | 490 | -17 | 27.3 | 0.2 | 1229 | 3 | 952 | -7 |
C09 | Southern Africa | 62 | -14 | 19.4 | -0.2 | 1215 | 0 | 367 | 0 |
C10 | Western Cape (South Africa) | 234 | 9 | 11.9 | -0.8 | 979 | 4 | 626 | 8 |
C11 | British Columbia to Colorado | 306 | 13 | 12.9 | 0.5 | 1152 | 1 | 686 | 8 |
C12 | Northern Great Plains | 270 | 0 | 19.9 | 1.4 | 1162 | 4 | 791 | 3 |
C13 | Corn Belt | 422 | 17 | 18.4 | 0.8 | 1048 | 1 | 974 | 8 |
C14 | Cotton Belt to Mexican Nordeste | 564 | 26 | 23.8 | -0.2 | 1234 | 3 | 1144 | 14 |
C15 | Sub-boreal America | 226 | -27 | 13.2 | 1.4 | 897 | 4 | 652 | -13 |
C16 | West Coast (North America) | 214 | 55 | 18.2 | 0.1 | 1263 | -1 | 494 | 20 |
C17 | Sierra Madre | 1296 | 4 | 19.4 | -0.2 | 1252 | 3 | 1220 | 2 |
C18 | SW U.S. and N. Mexican highlands | 352 | 20 | 21.2 | 0.1 | 1325 | 2 | 800 | 12 |
C19 | Northern South and Central America | 1296 | -2 | 23.6 | 0.0 | 1240 | 3 | 1391 | 0 |
C20 | Caribbean | 653 | -11 | 26.3 | 0.0 | 1385 | 3 | 1322 | -4 |
C21 | Central-northern Andes | 466 | -8 | 14.4 | 0.0 | 1203 | 1 | 534 | -6 |
C22 | Nordeste (Brazil) | 64 | -36 | 25.1 | 0.9 | 1277 | 5 | 434 | -14 |
C23 | Central eastern Brazil | 136 | -47 | 24.4 | 1.1 | 1169 | 3 | 484 | -25 |
C24 | Amazon | 387 | -6 | 25.9 | 0.3 | 1204 | 1 | 847 | -4 |
C25 | Central-north Argentina | 163 | 8 | 18.2 | 0.6 | 1067 | 2 | 500 | 2 |
C26 | Pampas | 370 | -12 | 15.7 | 0.4 | 926 | 5 | 705 | -7 |
C27 | Western Patagonia | 489 | -30 | 7.0 | 0.5 | 812 | 11 | 522 | -8 |
C28 | Semi-arid Southern Cone | 73 | -28 | 11.3 | 0.6 | 1081 | 5 | 247 | -22 |
C29 | Caucasus | 219 | 10 | 18.2 | -0.4 | 1227 | -1 | 527 | 1 |
C30 | Pamir area | 110 | -37 | 17.7 | 0.0 | 1415 | 2 | 351 | -15 |
C31 | Western Asia | 60 | -4 | 23.0 | 0.0 | 1337 | 1 | 253 | -3 |
C32 | Gansu-Xinjiang (China) | 202 | 3 | 16.0 | 0.1 | 1184 | 1 | 526 | -1 |
C33 | Hainan (China) | 1330 | 2 | 26.2 | 0.4 | 1223 | 3 | 1517 | 3 |
C34 | Huanghuaihai (China) | 731 | 75 | 21.6 | -0.4 | 996 | -6 | 1137 | 28 |
C35 | Inner Mongolia (China) | 368 | 58 | 15.6 | -0.5 | 1049 | -4 | 829 | 21 |
C36 | Loess region (China) | 551 | 53 | 16.9 | 0.1 | 1066 | -1 | 924 | 12 |
C37 | Lower Yangtze (China) | 868 | 4 | 23.6 | 0.5 | 1105 | 5 | 1297 | 6 |
C38 | Northeast China | 476 | 36 | 15.7 | -0.1 | 979 | -2 | 976 | 22 |
C39 | Qinghai-Tibet (China) | 1059 | -7 | 11.5 | 0.2 | 1010 | 2 | 760 | 2 |
C40 | Southern China | 1183 | -3 | 23.0 | 0.4 | 1151 | 7 | 1426 | 4 |
C41 | Southwest China | 1016 | 18 | 19.1 | 0.3 | 976 | 2 | 1231 | 7 |
C42 | Taiwan (China) | 1019 | 3 | 27.1 | 0.9 | 1234 | 3 | 1073 | -7 |
C43 | East Asia | 669 | 3 | 17.3 | 0.4 | 965 | 2 | 1032 | 4 |
C44 | Southern Himalayas | 1257 | -10 | 24.1 | 0.3 | 1069 | 1 | 1274 | 2 |
C45 | Southern Asia | 1112 | -13 | 25.8 | 0.2 | 1092 | 3 | 1330 | 1 |
C46 | Southern Japan and the southern fringe of the Korea peninsula | 1100 | 18 | 21.9 | 0.4 | 1022 | -1 | 1223 | -1 |
C47 | Southern Mongolia | 160 | -1 | 6.5 | -0.5 | 1161 | 2 | 500 | 4 |
C48 | Punjab to Gujarat | 866 | 24 | 28.7 | -0.2 | 1134 | -2 | 1026 | 23 |
C49 | Maritime Southeast Asia | 1278 | 12 | 24.5 | 0.3 | 1187 | 3 | 1438 | 8 |
C50 | Mainland Southeast Asia | 1430 | -1 | 25.3 | 0.3 | 1143 | 5 | 1537 | 2 |
C51 | Eastern Siberia | 263 | -29 | 11.7 | 0.6 | 900 | 11 | 688 | -14 |
C52 | Eastern Central Asia | 347 | 25 | 9.8 | -0.3 | 926 | -3 | 742 | 9 |
C53 | Northern Australia | 255 | 39 | 24.7 | 0.8 | 1289 | 2 | 697 | 18 |
C54 | Queensland to Victoria | 228 | 14 | 12.8 | -0.2 | 916 | -1 | 584 | 8 |
C55 | Nullarbor to Darling | 317 | 36 | 12.5 | -0.6 | 817 | -5 | 702 | 17 |
C56 | New Zealand | 393 | 5 | 8.6 | 0.3 | 712 | 3 | 670 | 2 |
C57 | Boreal Eurasia | 411 | 3 | 10.8 | 0.3 | 737 | 3 | 754 | 2 |
C58 | Ukraine to Ural mountains | 232 | -13 | 14.5 | 0.0 | 855 | 4 | 680 | -5 |
C59 | Mediterranean Europe and Turkey | 147 | -11 | 19.2 | -0.3 | 1257 | 1 | 506 | -6 |
C60 | W. Europe (non Mediterranean) | 335 | 2 | 15.3 | -0.3 | 932 | 0 | 769 | 0 |
C61 | Boreal America | 454 | -5 | 7.1 | -0.7 | 613 | -1 | 629 | -5 |
C62 | Ural to Altai mountains | 261 | 11 | 12.8 | -0.2 | 911 | 3 | 669 | 6 |
C63 | Australian desert | 133 | 4 | 14.7 | -0.2 | 982 | 2 | 481 | 3 |
C64 | Sahara to Afghan deserts | 37 | 55 | 28.8 | 0.4 | 1456 | 0 | 185 | 15 |
C65 | Sub-arctic America | 186 | 5 | -0.2 | 0.7 | 609 | -4 | 326 | 3 |
Table A.2 July - October 2021 agroclimatic indicators and biomass by country
Country code | Country name | 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 15YA Departure (%) |
ARG | Argentina | 232 | -11 | 14.8 | 0.5 | 964 | 5 | 535 | -6 |
AUS | Australia | 225 | 16 | 13.8 | -0.1 | 935 | -1 | 589 | 9 |
BGD | Bangladesh | 1829 | -8 | 26.9 | 0.2 | 1087 | 0 | 1615 | 0 |
BRA | Brazil | 222 | -27 | 24.3 | 0.8 | 1171 | 3 | 593 | -16 |
KHM | Cambodia | 1419 | 6 | 25.5 | 0.1 | 1100 | 1 | 1607 | 2 |
CAN | Canada | 306 | -8 | 14.0 | 1.2 | 926 | 1 | 697 | -5 |
CHN | China | 840 | 13 | 20.0 | 0.2 | 1054 | 2 | 1062 | 11 |
EGY | Egypt | 3 | -60 | 26.0 | 0.5 | 1394 | 0 | 77 | -25 |
ETH | Ethiopia | 865 | -5 | 17.6 | -0.2 | 1169 | -2 | 913 | -3 |
FRA | France | 357 | 15 | 15.3 | -0.6 | 976 | -1 | 825 | 6 |
DEU | Germany | 393 | 21 | 14.0 | -0.7 | 837 | -4 | 850 | 8 |
IND | India | 1127 | -11 | 25.9 | 0.1 | 1071 | 1 | 1272 | 5 |
IDN | Indonesia | 1189 | 20 | 24.4 | 0.2 | 1177 | 2 | 1373 | 12 |
IRN | Iran | 66 | 21 | 22.6 | 0.1 | 1408 | -1 | 191 | 2 |
KAZ | Kazakhstan | 212 | 21 | 14.7 | -0.3 | 1023 | 1 | 590 | 8 |
MEX | Mexico | 1067 | 1 | 22.6 | 0.1 | 1296 | 3 | 1181 | 1 |
MMR | Myanmar | 1443 | -13 | 24.1 | 0.6 | 1086 | 7 | 1419 | -2 |
NGA | Nigeria | 649 | -32 | 25.7 | 0.7 | 1147 | 5 | 1043 | -15 |
PAK | Pakistan | 207 | -35 | 25.1 | 0.3 | 1372 | 2 | 541 | 4 |
PHL | Philippines | 1595 | -5 | 25.7 | 0.4 | 1271 | 7 | 1566 | 1 |
POL | Poland | 307 | 4 | 14.9 | -0.2 | 827 | -3 | 761 | 0 |
ROU | Romania | 143 | -38 | 16.8 | -0.5 | 1090 | 3 | 564 | -18 |
RUS | Russia | 263 | -6 | 13.4 | 0.0 | 862 | 3 | 705 | -1 |
ZAF | South Africa | 96 | -15 | 13.7 | -0.7 | 1140 | 2 | 403 | -3 |
THA | Thailand | 1314 | 11 | 25.1 | 0.2 | 1152 | 5 | 1550 | 4 |
TUR | Turkey | 111 | -20 | 18.4 | -0.6 | 1284 | 0 | 406 | -14 |
GBR | United Kingdom | 465 | 2 | 13.6 | 0.6 | 660 | 1 | 885 | 7 |
UKR | Ukraine | 172 | -15 | 16.2 | -0.6 | 988 | 4 | 610 | -4 |
USA | United States | 426 | 22 | 20.5 | 0.4 | 1175 | 2 | 902 | 11 |
UZB | Uzbekistan | 18 | -48 | 22.2 | 0.2 | 1382 | 1 | 155 | -27 |
VNM | Vietnam | 1451 | 3 | 24.0 | 0.2 | 1152 | 5 | 1511 | 2 |
AFG | Afghanistan | 25 | -38 | 19.1 | -0.1 | 1466 | 1 | 111 | -17 |
AGO | Angola | 135 | -15 | 21.9 | 0.2 | 1335 | 0 | 377 | -6 |
BLR | Belarus | 260 | -8 | 14.2 | -0.1 | 812 | 3 | 692 | -5 |
HUN | Hungary | 137 | -35 | 17.9 | -0.2 | 1052 | 3 | 571 | -17 |
ITA | Italy | 318 | -6 | 18.9 | 0.0 | 1145 | -1 | 720 | -5 |
KEN | Kenya | 228 | -34 | 19.7 | 0.1 | 1164 | 0 | 639 | -13 |
LKA | Sri_Lanka | 1459 | 33 | 26.1 | -0.1 | 1268 | 4 | 1372 | 12 |
MAR | Morocco | 38 | -56 | 22.9 | 0.2 | 1408 | 3 | 340 | -27 |
MNG | Mongolia | 348 | 36 | 8.9 | -0.6 | 1003 | -4 | 707 | 12 |
MOZ | Mozambique | 74 | 7 | 21.8 | -0.3 | 1140 | -2 | 496 | 6 |
ZMB | Zambia | 12 | -35 | 21.6 | 0.2 | 1379 | -1 | 231 | 9 |
KGZ | Kyrgyzstan | 273 | 24 | 11.4 | -0.2 | 1304 | 1 | 474 | -1 |
Note: Departures are expressed in relative terms (percentage) forall variables, except for temperature, for which absolute departure in degrees Celsius is given. Zero means no change from the average value; relative departures are calculated as (C-R)/R*100, with C=current value and R=reference value, which is the fifteen-year average (15YA) for the same period between Jan - Apr.
Table A.3 Argentina, July - October 2021 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 15YA Departure (%) | |
Buenos Aires | 210 | -16 | 12.1 | 0.6 | 897 | 6 | 524 | -10 |
Chaco | 225 | -20 | 18.4 | 0.2 | 951 | 4 | 627 | -8 |
Cordoba | 118 | -7 | 14.8 | 0.7 | 1043 | 5 | 413 | -3 |
Corrientes | 400 | -12 | 16.8 | 0.2 | 897 | 5 | 824 | -5 |
Entre Rios | 278 | -23 | 14.7 | 0.5 | 930 | 8 | 626 | -15 |
La Pampa | 204 | 23 | 12.9 | 0.6 | 952 | 7 | 476 | 2 |
Misiones | 646 | 9 | 17.8 | 0.3 | 937 | 5 | 968 | -4 |
Santiago Del Estero | 97 | -36 | 18.1 | 0.6 | 1055 | 4 | 441 | -9 |
San Luis | 132 | 30 | 13.4 | 0.7 | 1048 | 5 | 398 | 7 |
Salta | 214 | 28 | 16.4 | 0.3 | 1108 | -1 | 543 | 8 |
Santa Fe | 184 | -28 | 16.1 | 0.5 | 972 | 7 | 563 | -11 |
Tucuman | 210 | -16 | 12.1 | 0.6 | 897 | 6 | 524 | -10 |
Table A.4 Australia, July - October 2021 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 15YA Departure (%) | |
New South Wales | 213 | 22 | 12.2 | -0.5 | 943 | -2 | 567 | 13 |
South Australia | 220 | 8 | 13.0 | -0.2 | 850 | 4 | 576 | 2 |
Victoria | 324 | 16 | 10.4 | -0.2 | 728 | -1 | 668 | 8 |
W. Australia | 283 | 34 | 13.9 | -0.4 | 879 | -3 | 644 | 15 |
Table A.5 Brazil, July - October 2021 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 15YA Departure (%) | |
Ceara | 45 | -23 | 27.4 | 0.8 | 1393 | 1 | 494 | -5 |
Goias | 7 | -97 | 26.4 | 1.9 | 1292 | 6 | 162 | -69 |
Mato Grosso Do Sul | 134 | -54 | 24.7 | 1.3 | 1123 | 4 | 500 | -31 |
Mato Grosso | 102 | -56 | 27.1 | 1.0 | 1182 | 1 | 369 | -36 |
Minas Gerais | 126 | -54 | 22.1 | 1.2 | 1162 | 4 | 431 | -32 |
Parana | 438 | -18 | 18.2 | 0.3 | 994 | 2 | 843 | -8 |
Rio Grande Do Sul | 541 | -14 | 15.5 | 0.2 | 877 | 4 | 927 | -6 |
Santa Catarina | 533 | -15 | 15.0 | -0.1 | 857 | -2 | 902 | -7 |
Sao Paulo | 138 | -62 | 21.6 | 1.1 | 1105 | 5 | 510 | -34 |
Table A.6 Canada, July - October 2021 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 15YA Departure (%) | |
Alberta | 177 | -26 | 13.2 | 1.2 | 979 | 2 | 575 | -14 |
Manitoba | 226 | -21 | 16.2 | 2.2 | 965 | 5 | 698 | -8 |
Saskatchewan | 174 | -24 | 15.2 | 1.6 | 996 | 4 | 597 | -12 |
Table A.7 India, July - October 2021 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 15YA Departure (%) | |
Andhra Pradesh | 830 | -9 | 26.2 | -0.2 | 1111 | 3 | 1332 | 4 |
Assam | 2393 | -11 | 24.9 | 0.2 | 917 | 0 | 1503 | 3 |
Bihar | 1411 | 1 | 27.1 | -0.1 | 1055 | -5 | 1524 | 8 |
Chhattisgarh | 616 | -51 | 26.0 | 0.9 | 1119 | 5 | 1144 | -17 |
Daman and Diu | 1350 | -15 | 27.5 | -0.1 | 1139 | 0 | 1299 | 3 |
Delhi | 927 | 59 | 28.1 | -0.8 | 1138 | -3 | 1441 | 47 |
Gujarat | 1005 | -11 | 27.4 | -0.3 | 1051 | -2 | 1171 | 8 |
Goa | 2736 | -5 | 24.9 | -0.1 | 1058 | 4 | 1602 | 3 |
Himachal Pradesh | 638 | -36 | 19.9 | 0.6 | 1223 | 3 | 874 | -3 |
Haryana | 806 | 44 | 28.7 | -0.3 | 1166 | 0 | 1248 | 40 |
Jharkhand | 884 | -32 | 26.1 | 0.5 | 1134 | 1 | 1380 | -6 |
Kerala | 1862 | -14 | 24.1 | 0.1 | 1105 | 7 | 1503 | 1 |
Karnataka | 1100 | -1 | 23.4 | -0.1 | 978 | 4 | 1283 | 7 |
Meghalaya | 2318 | -12 | 24.7 | 0.5 | 934 | 2 | 1473 | 1 |
Maharashtra | 1134 | -10 | 24.7 | -0.1 | 1056 | 7 | 1335 | 5 |
Manipur | 1553 | -22 | 21.7 | 0.3 | 989 | 13 | 1377 | 1 |
Madhya Pradesh | 1005 | -8 | 25.9 | 0.4 | 1023 | -2 | 1235 | 1 |
Mizoram | 1931 | -5 | 23.6 | 0.1 | 1015 | 3 | 1527 | 1 |
Nagaland | 2009 | -8 | 21.9 | 0.2 | 934 | 6 | 1394 | 4 |
Orissa | 917 | -35 | 26.4 | 0.6 | 1115 | 2 | 1323 | -11 |
Puducherry | 1239 | -24 | 27.6 | 0.1 | 1181 | 5 | 1418 | -3 |
Punjab | 604 | -3 | 29.1 | 0.2 | 1209 | 2 | 1043 | 14 |
Rajasthan | 1106 | 74 | 28.3 | -0.5 | 1083 | -5 | 1144 | 41 |
Sikkim | 729 | -19 | 17.5 | 0.3 | 1133 | 6 | 836 | -7 |
Tamil Nadu | 683 | -24 | 26.6 | 0.4 | 1122 | 4 | 1116 | -7 |
Tripura | 1626 | -16 | 26.2 | 0.3 | 1049 | 3 | 1580 | -1 |
Uttarakhand | 457 | -58 | 21.2 | 0.8 | 1185 | 5 | 829 | -14 |
Uttar Pradesh | 1081 | 7 | 27.6 | 0.0 | 1057 | -5 | 1344 | 10 |
West Bengal | 1576 | -15 | 26.9 | 0.2 | 1109 | -1 | 1572 | 0 |
Table A.8 Kazakhstan, July - October 2021 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 15YA Departure (%) | |
Akmolinskaya | 201 | 26 | 13.3 | -0.8 | 934 | 0 | 634 | 14 |
Karagandinskaya | 196 | 38 | 12.6 | -0.9 | 1024 | 1 | 634 | 21 |
Kustanayskaya | 167 | -4 | 14.6 | -0.1 | 945 | 5 | 580 | 0 |
Pavlodarskaya | 238 | 32 | 13.3 | -0.8 | 909 | 0 | 690 | 16 |
Severo kazachstanskaya | 261 | 24 | 12.8 | -0.3 | 821 | -1 | 681 | 9 |
Vostochno kazachstanskaya | 257 | 10 | 12.6 | -0.7 | 1093 | 2 | 694 | 9 |
Zapadno kazachstanskaya | 114 | -8 | 18.3 | 0.3 | 1040 | 3 | 514 | -3 |
Table A.9 Russia, July - October 2021 agroclimatic indicators and biomass (by oblast, kray and republic)
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 15YA Departure (%) | |
Bashkortostan Rep. | 188 | -36 | 13.0 | 0.5 | 881 | 11 | 610 | -18 |
Chelyabinskaya Oblast | 172 | -33 | 12.9 | 0.2 | 871 | 8 | 580 | -15 |
Gorodovikovsk | 154 | -19 | 19.8 | -0.4 | 1076 | 0 | 658 | -2 |
Krasnodarskiy Kray | 266 | -13 | 15.0 | -0.3 | 995 | 4 | 712 | -8 |
Kurganskaya Oblast | 202 | -17 | 12.8 | 0.2 | 813 | 7 | 602 | -11 |
Kirovskaya Oblast | 271 | -17 | 12.1 | 0.3 | 740 | 8 | 736 | -6 |
Kurskaya Oblast | 185 | -19 | 14.7 | -0.2 | 907 | 6 | 632 | -4 |
Lipetskaya Oblast | 222 | -2 | 14.8 | -0.1 | 853 | 2 | 698 | 6 |
Mordoviya Rep. | 242 | -13 | 14.0 | 0.2 | 819 | 3 | 714 | -3 |
Novosibirskaya Oblast | 329 | 25 | 11.7 | -0.1 | 784 | 2 | 817 | 17 |
Nizhegorodskaya O. | 219 | -28 | 13.7 | 0.5 | 775 | 4 | 667 | -12 |
Orenburgskaya Oblast | 145 | -23 | 15.6 | 0.4 | 988 | 8 | 536 | -11 |
Omskaya Oblast | 316 | 32 | 11.9 | 0.0 | 744 | -1 | 752 | 15 |
Permskaya Oblast | 301 | -12 | 11.4 | 0.1 | 735 | 10 | 749 | -4 |
Penzenskaya Oblast | 260 | 2 | 14.1 | 0.0 | 847 | 2 | 741 | 6 |
Rostovskaya Oblast | 139 | -18 | 18.8 | -0.3 | 1060 | 2 | 593 | -6 |
Ryazanskaya Oblast | 240 | -11 | 14.4 | 0.2 | 796 | 1 | 724 | 0 |
Stavropolskiy Kray | 320 | 14 | 18.7 | -0.8 | 1064 | -1 | 808 | 1 |
Sverdlovskaya Oblast | 203 | -33 | 11.7 | 0.4 | 780 | 13 | 596 | -19 |
Samarskaya Oblast | 168 | -31 | 15.1 | 0.4 | 908 | 7 | 586 | -15 |
Saratovskaya Oblast | 175 | -7 | 16.2 | 0.1 | 965 | 4 | 591 | -4 |
Tambovskaya Oblast | 238 | 8 | 15.1 | 0.0 | 859 | 0 | 725 | 10 |
Tyumenskaya Oblast | 298 | 17 | 11.8 | 0.1 | 734 | 3 | 705 | 4 |
Tatarstan Rep. | 218 | -27 | 13.4 | 0.3 | 824 | 9 | 677 | -11 |
Ulyanovskaya Oblast | 204 | -25 | 14.2 | 0.2 | 859 | 5 | 651 | -10 |
Udmurtiya Rep. | 267 | -15 | 12.2 | 0.1 | 741 | 6 | 724 | -5 |
Volgogradskaya O. | 137 | -10 | 17.9 | 0.1 | 1009 | 1 | 571 | 0 |
Voronezhskaya Oblast | 201 | 6 | 16.1 | 0.0 | 927 | 1 | 679 | 9 |
Table A.10 United States, July - October 2021 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 15YA Departure (%) | |
Arkansas | 356 | -11 | 23.6 | 0.2 | 1251 | 6 | 1060 | 9 |
California | 145 | 161 | 20.3 | 0.1 | 1391 | -1 | 403 | 31 |
Idaho | 154 | 15 | 15.9 | 0.7 | 1246 | 0 | 585 | 14 |
Indiana | 428 | 38 | 20.4 | 0.7 | 1147 | 3 | 1047 | 19 |
Illinois | 411 | 27 | 20.7 | 0.5 | 1150 | 2 | 1053 | 20 |
Iowa | 319 | 0 | 20.3 | 1.3 | 1153 | 3 | 896 | 4 |
Kansas | 302 | -7 | 23.5 | 1.1 | 1265 | 6 | 905 | 0 |
Michigan | 338 | 4 | 17.8 | 1.2 | 1031 | 3 | 877 | 3 |
Minnesota | 303 | 3 | 18.3 | 1.9 | 1091 | 7 | 828 | 2 |
Missouri | 389 | 15 | 21.8 | 0.4 | 1195 | 3 | 1051 | 15 |
Montana | 175 | -3 | 16.7 | 1.5 | 1163 | 0 | 642 | 0 |
Nebraska | 224 | -17 | 21.7 | 1.7 | 1247 | 6 | 828 | 1 |
North Dakota | 249 | 4 | 19.2 | 2.4 | 1099 | 4 | 780 | 5 |
Ohio | 371 | 25 | 19.8 | 0.9 | 1106 | 2 | 984 | 13 |
Oklahoma | 345 | 2 | 24.5 | 0.1 | 1285 | 6 | 987 | 9 |
Oregon | 185 | 19 | 16.1 | 0.4 | 1197 | 0 | 562 | 17 |
South Dakota | 306 | 24 | 20.6 | 1.7 | 1186 | 4 | 934 | 20 |
Texas | 519 | 38 | 25.5 | -0.4 | 1287 | 3 | 1047 | 16 |
Washington | 245 | 18 | 15.9 | 0.3 | 1088 | -2 | 591 | 11 |
Wisconsin | 269 | -7 | 17.8 | 1.3 | 1079 | 4 | 795 | -1 |
Table A.11 China, July - October 2021agroclimatic 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 15YA Departure (%) | |
Anhui | 887 | 28 | 23.2 | 0.3 | 1000 | -2 | 1224 | 10 |
Chongqing | 1113 | 30 | 21.1 | 0.3 | 973 | -1 | 1336 | 9 |
Fujian | 858 | -11 | 23.3 | 0.6 | 1166 | 8 | 1346 | 2 |
Gansu | 463 | 10 | 14.4 | 0.4 | 1074 | 5 | 804 | 2 |
Guangdong | 976 | -22 | 25.3 | 0.5 | 1242 | 8 | 1483 | 1 |
Guangxi | 1165 | 1 | 23.8 | 0.4 | 1200 | 8 | 1504 | 7 |
Guizhou | 887 | 0 | 19.9 | 0.5 | 1022 | 7 | 1302 | 4 |
Hebei | 619 | 112 | 18.2 | -0.8 | 1028 | -6 | 1026 | 34 |
Heilongjiang | 435 | 41 | 15.1 | 0.0 | 957 | -2 | 941 | 21 |
Henan | 757 | 74 | 21.6 | -0.5 | 972 | -7 | 1165 | 26 |
Hubei | 766 | 10 | 21.7 | 0.2 | 1009 | -2 | 1207 | 8 |
Hunan | 789 | 0 | 23.1 | 0.6 | 1122 | 6 | 1303 | 8 |
Jiangsu | 925 | 33 | 23.6 | 0.5 | 1012 | -1 | 1239 | 11 |
Jiangxi | 763 | -7 | 24.1 | 0.7 | 1155 | 8 | 1287 | 3 |
Jilin | 475 | 24 | 16.1 | 0.1 | 1019 | -2 | 1008 | 21 |
Liaoning | 559 | 40 | 17.8 | -0.3 | 1010 | -3 | 1068 | 25 |
Inner Mongolia | 360 | 67 | 14.8 | -0.5 | 1023 | -5 | 825 | 24 |
Ningxia | 214 | -10 | 17.0 | 0.7 | 1161 | 5 | 645 | -7 |
Shaanxi | 790 | 49 | 17.9 | 0.2 | 996 | -4 | 980 | 9 |
Shandong | 661 | 55 | 21.6 | -0.2 | 1004 | -6 | 1127 | 26 |
Shanxi | 524 | 67 | 16.8 | 0.0 | 1060 | -3 | 901 | 15 |
Sichuan | 1202 | 30 | 17.8 | 0.3 | 942 | 0 | 1159 | 7 |
Yunnan | 1135 | 12 | 17.9 | 0.4 | 981 | 7 | 1200 | 3 |
Zhejiang | 1252 | 37 | 23.1 | 0.6 | 1025 | 0 | 1367 | 7 |