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Annex A. Agroclimatic indicators and BIOMSSAnnex

Authors: 超级管理员 | Edit: Miao

Annex A. Agroclimatic indicators and BIOMSS

Table A.1. July -October 2018 agroclimatic indicators and biomass by globalMonitoring and Reporting Unit. All values are averages(TEMP) or totals (RAIN, RADPAR, BIOMSS) over the reporting period

code 

name 

RAIN Curr. (mm)

RAIN 15YA Dep. (%)

TEMP Curr.

(°C)

TEMP 15YA Dep. (°C)

RADPAR Curr. (MJ/m2)

RADPAR 15YA Dep.

(%)

BIOMSS Current (gDM/m2)

BIOMSS 5YA Dep. (%)

C01

Equatorial central Africa

449

-1

24.9

0.2

1252

6

1122

-6

C02

East African highlands

504

-14

19.6

-0.2

1203

3

1107

-26

C03

Gulf of Guinea

1029

19

25.8

-0.6

1128

7

1877

-1

C04

Horn of Africa

100

-8

23.4

-0.8

1261

0

382

-13

C05

Madagascar (main)

210

71

21.5

-0.1

1154

4

533

24

C06

Southwest Madagascar

56

0

21.5

-0.3

1255

4

206

-4

C07

North Africa-Mediterranean

185

88

23.4

-0.9

1305

-2

532

40

C08

Sahel

666

17

28.5

-0.6

1232

4

1265

-11

C09

Southern Africa

66

12

21.4

-0.1

1237

2

286

16

C10

Western Cape (South Africa)

67

-50

13

1.3

979

5

403

-20

C11

British Columbia to Colorado

204

2

11.5

-0.4

1168

3

787

2

C12

Northern Great Plains

413

33

16.9

-1.2

1099

-3

1251

21

C13

Corn Belt

488

17

18

0.3

1016

-2

1399

4

C14

Cotton Belt to Mexican Nordeste

544

24

24.3

-0.1

1181

-1

1426

7

C15

Sub-boreal America

312

11

10.4

-1.7

867

1

1065

-3

C16

West Coast (North America)

68

-31

17.1

-0.1

1318

2

354

10

C17

Sierra Madre

609

-4

20

-0.4

1210

0

1422

-6

C18

SW U.S. and N. Mexican highlands

224

19

21.3

-0.2

1299

0

685

4

C19

Northern South and Central America

925

-2

26.7

-0.3

1225

2

1819

-8

C20

Caribbean

605

-24

26.9

0

1402

7

1448

-24

C21

Central-northern Andes

332

-2

15.4

0

1174

-2

862

8

C22

Nordeste (Brazil)

60

5

27.4

0.7

1247

2

456

58

C23

Central eastern Brazil

269

31

24.7

-0.7

1113

-1

1053

44

C24

Amazon

384

1

27.9

-0.7

1198

2

1248

0

C25

Central-north Argentina

146

68

17.9

-1.4

958

-9

656

72

C26

Pampas

427

-1

15.9

-0.5

830

-6

1239

11

C27

Western Patagonia

311

-9

6.3

-0.5

718

-1

941

11

C28

Semi-arid Southern Cone

57

-4

10.1

-0.6

995

-3

339

29

C29

Caucasus

143

-11

19.7

0.5

1255

1

778

19

C30

Pamir area

229

34

17.4

-0.6

1399

0

762

32

C31

Western Asia

73

19

23.6

-0.2

1348

0

378

39

C32

Gansu-Xinjiang (China)

367

121

16.4

-0.6

1174

0

833

51

C33

Hainan (China)

1173

3

26.5

-0.6

1168

-1

1528

-21

C34

Huanghuaihai (China)

439

-10

23.2

0.3

1111

6

1019

-22

C35

Inner Mongolia (China)

390

28

15.7

-0.4

1079

-2

1031

-4

C36

Loess region (China)

356

-8

17.7

-0.2

1112

4

930

-24

C37

Lower Yangtze (China)

561

9

24.5

-0.6

1105

4

1768

17

C38

Northeast China

441

15

16.4

0.1

971

-3

1046

-13

C39

Qinghai-Tibet (China)

738

3

11.9

-0.4

952

-6

1124

-10

C40

Southern China

818

12

23.8

-0.9

1036

-5

1687

-2

C41

Southwest China

512

-9

20.6

-0.6

969

1

1482

-6

C42

Taiwan (China)

930

-8

24.5

-0.8

1126

-4

1375

-17

C43

East Asia

505

-14

17.5

0.1

956

3

1111

-22

C44

Southern Himalayas

1138

8

25.2

-0.5

1029

-4

1528

-15

C45

Southern Asia

965

-3

27.2

-0.1

1023

-4

1484

-15

C46

Southern Japan and the southern fringe of the Korea peninsula

785

-1

22.9

1.8

1049

3

1588

-9

C47

Southern Mongolia

620

180

14.8

-0.5

1213

1

1237

75

C48

Punjab to Gujarat

559

-1

29.2

-0.5

1093

-6

944

-12

C49

Maritime Southeast Asia

782

-9

25.5

0.2

1171

4

1625

-14

C50

Mainland Southeast Asia

1183

-1

26.9

-0.3

1094

1

2053

-5

C51

Eastern Siberia

321

11

11.1

-0.2

823

2

1058

-9

C52

Eastern Central Asia

384

54

10.3

0.3

920

-5

945

-2

C53

Northern Australia

63

-42

24.3

1.1

1287

4

294

-22

C54

Queensland to Victoria

107

-35

12.9

0.1

954

4

544

-14

C55

Nullarbor to Darling

176

-10

12.7

0

799

-5

914

20

C56

New Zealand

88

-68

8.8

0.4

730

8

491

-43

C57

Boreal Eurasia

395

17

11.5

1.4

756

7

1130

-5

C58

Ukraine to Ural mountains

240

0

15.8

0.8

863

6

1085

3

C59

Mediterranean Europe and Turkey

159

3

20.4

1.3

1249

0

787

32

C60

W. Europe (non Mediterranean)

244

-16

17

0.8

989

7

1011

-7

C61

Boreal America

461

17

8.5

1.2

610

-1

1085

-1

C62

Ural to Altai mountains

257

26

13.3

-0.1

890

1

948

6

C63

Australian desert

101

12

14

0.2

968

0

608

39

C64

Sahara to Afghan deserts

61

88

29.7

-0.5

1472

0

177

28

C65

Sub-arctic America

252

96

-1.6

2.5

640

1

696

87

Table A.2. July –October 2018agroclimatic indicators and biomass by country. All values are averages (TEMP)or totals (RAIN, RADPAR, BIOMSS) over the reporting period

42 Countries

42 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 (%)

[AFG]

Afghanistan

43

5

19.7

-1.1

1469

0

243

57

[AGO]

Angola

59

-18

24.2

2

1359

2

388

39

[ARG]

Argentina

209

-4

14.6

-0.7

857

-8

802

16

[AUS]

Australia

112

-30

13.9

0.1

964

3

594

-6

[BGD]

Bangladesh

1476

-4

28.6

-0.3

1108

1

2096

-7

[BLR]

Belarus

308

16

15.5

0.8

825

5

897

-16

[BRA]

Brazil

294

12

25.1

-0.4

1129

0

1042

26

[CAN]

Canada

288

-3

11.7

-0.7

925

2

1079

4

[CHN]

China

546

4

20.9

-0.4

1046

1

1272

-3

[DEU]

Germany

174

-40

16.9

1.3

962

11

1038

-9

[EGY]

Egypt

3

-24

26.6

-0.1

1390

0

37

60

[ETH]

Ethiopia

614

-10

20.5

0

1224

3

1279

-24

[FRA]

France

217

-18

17.6

0.7

1079

10

907

-13

[GBR]

UK

361

8

13.5

0.4

673

3

1308

4

[HUN]

Hungary

260

-1

19

0.9

1052

4

970

-6

[IDN]

Indonesia

705

-11

25.5

0

1175

4

1480

-15

[IND]

India

991

2

27.2

-0.2

1020

-5

1333

-18

[IRN]

Iran

60

53

23.9

0.4

1437

0

331

106

[ITA]

Italy

371

37

21

0.7

1157

1

970

7

[KAZ]

Kazakhstan

217

42

14.9

-0.4

1013

0

780

13

[KEN]

Kenya

173

-31

21

-0.6

1195

4

579

-30

[KHM]

Cambodia

1090

-8

27.6

-0.8

1092

1

2196

-4

[LKA]

Sri_Lanka

645

20

27.2

-0.5

1192

-2

1394

7

[MAR]

Morocco

126

60

22

-0.8

1342

-1

528

54

[MEX]

Mexico

696

-2

23.9

-0.3

1262

1

1370

-5

[MMR]

Myanmar

1292

3

25.7

-0.4

996

-1

2086

-3

[MNG]

Mongolia

435

86

9.7

-0.2

1013

-4

1028

12

[MOZ]

Mozambique

73

74

23.8

-0.3

1179

3

271

30

[NGA]

Nigeria

985

19

26.4

-0.7

1149

7

1732

-5

[PAK]

Pakistan

254

-12

26.7

-0.6

1382

1

710

2

[PHL]

Philippines

1049

-11

26.1

0.7

1196

3

1815

-15

[POL]

Poland

254

0

16.5

1

913

8

984

-6

[ROU]

Romania

155

-43

17.5

0.3

1097

6

820

-20

[RUS]

Russia

259

7

14.4

0.5

860

4

1065

2

[THA]

Thailand

983

1

27

-0.3

1127

3

1954

-5

[TUR]

Turkey

131

5

20.3

0.5

1283

0

880

53

[UKR]

Ukraine

197

-7

17.8

0.9

983

5

867

-4

[USA]

USA

460

26

20

-0.2

1134

-2

1187

10

[UZB]

Uzbekistan

81

93

21

-0.5

1382

1

456

107

[VNM]

Vietnam

1132

-1

26.1

-0.2

1091

0

1969

-5

[ZAF]

South Africa

94

-14

15.2

0

1158

4

375

-3

[ZMB]

Zambia

32

4

23.4

-0.3

1357

-2

242

43


Table A.3. Argentina, July –October2018 agroclimatic indicators and biomass (by province). All values are averages(TEMP) or totals (RAIN, RADPAR, BIOMSS) over the reporting period

 

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

279

8

11.7

-0.2

792

-6

961

6

Chaco

153

-22

18.3

-1.2

838

-9

789

8

Cordoba

101

-23

14

-0.6

921

-8

651

27

Corrientes

374

-9

17.3

-1

815

-6

1199

6

Entre Rios

273

-14

14.8

-0.6

796

-8

903

-5

La Pampa

131

-29

12

-0.4

825

-8

779

15

Misiones

630

-8

18

-1

836

-6

2136

27

Santiago Del Estero

114

21

17.4

-1.1

923

-10

509

42

San Luis

96

-20

12.5

-0.6

934

-6

637

31

Salta

128

169

17.7

-1.3

1015

-11

588

142

Santa Fe

167

-21

15.7

-0.6

838

-9

792

8

Tucuman

65

51

16

-0.9

1069

-9

440

94

 

Table A.4. Australia, July –October2018 agroclimatic indicators and biomass (by state).All values are averages(TEMP) or totals (RAIN, RADPAR, BIOMSS) over the reporting period

 

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

90

-42

12.7

0.2

993

3

573

-7

South Australia

151

-6

12.4

0.3

839

3

515

-20

Victoria

115

-44

10.4

0.1

782

8

453

-39

W. Australia

163

-11

13.5

0.2

842

-5

878

21

 

Table A.5. Brazil, July –October 2018agroclimatic indicators and biomass (by state). All values are averages (TEMP)or totals (RAIN, RADPAR, BIOMSS) over the reporting period

 

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

27

-19

28.4

0.4

1379

0

396

59

Goias

251

50

25.2

-0.7

1197

-1

1019

52

Mato Grosso Do Sul

454

51

23.9

-1.3

1078

1

1580

55

Mato Grosso

278

18

27.4

-0.9

1161

0

1129

35

Minas Gerais

221

49

23.1

0

1077

-4

826

52

Parana

620

4

19.6

-0.3

948

-3

1869

28

Rio Grande Do Sul

635

-4

16.5

-0.2

804

-5

1751

10

Santa Catarina

568

-16

16.3

0.2

814

-6

1806

13

Sao Paulo

339

14

21.8

-0.5

1010

-4

1255

34

Table A.6. Canada, July–October 2018 agroclimatic indicators and biomass (by province). All values areaverages (TEMP) or totals (RAIN, RADPAR, BIOMSS) over the reporting period

 

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

225

9

10.1

-1.5

962

1

894

2

Manitoba

258

-1

12.1

-1.9

910

0

1320

20

Saskatchewan

205

-2

10.9

-1.9

943

-1

994

13

 

Table A.7. India, July–October 2018 agroclimatic indicators and biomass (by state). All values areaverages (TEMP) or totals (RAIN, RADPAR, BIOMSS) over the reporting period

 

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 (%)

Andhra Pradesh

747

-3

28.2

-0.1

1080

0

1421

-15

Assam

1635

9

29.2

-0.1

956

-1

2048

-13

Bihar

1048

5

29.4

-0.8

1100

-2

1346

-24

Chhattisgarh

1168

0

26.7

-0.3

986

-7

1543

-22

Daman and Diu

885

-16

27.9

-0.7

1091

-3

912

-33

Delhi

856

63

29.2

-0.9

1120

-4

913

-28

Gujarat

637

-23

29

0.1

969

-10

896

-28

Goa

906

-43

25

-0.1

1105

-2

1871

-10

Himachal Pradesh

946

12

15.4

0

1158

-2

1275

-9

Haryana

663

34

28.6

-0.9

1151

-1

1014

-16

Jharkhand

910

-12

27.4

-0.4

1070

-5

1547

-21

Kerala

1368

13

24.8

-0.5

1023

-4

1916

-12

Karnataka

692

-18

24.7

-0.3

933

-2

1316

-17

Meghalaya

1955

-9

25.3

0.1

978

10

2043

-14

Maharashtra

885

-15

26.5

-0.1

958

-3

1236

-25

Manipur

906

-13

23.1

0

902

2

1760

-18

Madhya Pradesh

1047

12

27.1

-0.4

917

-13

1265

-21

Mizoram

1407

-3

23.5

-0.5

1013

3

2263

-3

Nagaland

1167

-11

23

0.2

859

-4

1847

-18

Orissa

1337

14

27.5

0

1030

-6

1901

-8

Puducherry

584

18

29.7

65.9

1176

5

985

17

Punjab

552

10

28.5

-0.4

1201

3

1044

-12

Rajasthan

636

26

29.1

-0.7

1063

-8

987

-10

Sikkim

711

-45

13

-1.6

1154

11

1179

-17

Tamil Nadu

637

6

28.2

0.2

1119

2

1311

-15

Tripura

1656

2

27.8

-0.4

1074

4

2319

-5

Uttarakhand

1211

12

18.7

-0.1

1094

-2

1391

-11

Uttar Pradesh

1162

40

29

-0.5

1049

-7

1106

-29

West Bengal

1265

-6

29.2

0.2

1127

0

1925

-9

 

Table A.8. Kazakhstan, July–October 2018 agroclimatic indicators and biomass (by province) .All values areaverages (TEMP) or totals (RAIN, RADPAR, BIOMSS) over the reporting period

 

 

RAIN Current (mm)

RAIN 15YA Departure (%)

TEMP Current (°C)

TEMP 15YA Departure  (°C)

RADPAR Current (MJ/m2)

RADPAR 15YA Departure (%)

BIOMSS Current (gDM/m2)

Akmolinskaya

237

62

13.5

-0.5

900

-4

854

21

Karagandinskaya

201

37

12.9

-0.8

987

-3

732

5

Kustanayskaya

136

-4

15

-0.2

908

0

708

-2

Pavlodarskaya

202

23

13.8

-0.5

900

0

842

13

Severo kazachstanskaya

277

46

13.4

-0.2

829

0

953

10

Vostochno kazachstanskaya

305

49

12.4

-0.7

1079

1

955

19

Zapadno kazachstanskaya

80

-18

18.5

0.5

1031

4

564

9

 

Table A.9. Russia, July –October 2018agroclimatic indicators and biomass (by oblast).All values are averages (TEMP)or totals (RAIN, RADPAR, BIOMSS) over the reporting period

 

RAIN Current (mm)

RAIN 15YA Departure (%)

TEMP Current (°C)

TEMP 15YA Departure 

RAIN Current (mm)

RAIN 15YA Departure (%)

TEMP Current (°C)

TEMP 15YA Departure 

Bashkortostan Rep.

238

10

13.8

0.2

842

5

1174

11

Chelyabinskaya Oblast

206

0

13.5

0.1

817

2

950

-5

Gorodovikovsk

238

28

21.4

0.7

1096

4

1011

8

Krasnodarskiy Kray

249

-2

15.9

0.6

965

4

1026

-6

Kurganskaya Oblast

230

10

13.6

0.2

789

4

962

2

Kirovskaya Oblast

309

9

13

0.2

722

4

1441

17

Kurskaya Oblast

191

-10

16.6

0.9

916

9

1175

14

Lipetskaya Oblast

198

-5

16.5

1.1

894

9

1313

26

Mordoviya Rep.

200

-17

15.5

0.9

849

8

1183

5

Novosibirskaya Oblast

260

15

12.2

0.1

797

3

991

-3

Nizhegorodskaya O.

244

-7

14.8

0.8

791

7

1346

13

Orenburgskaya Oblast

116

-17

15.8

0.2

952

4

729

-5

Omskaya Oblast

289

34

12.6

0.3

744

0

1061

10

Permskaya Oblast

326

15

12.8

0.5

733

7

1454

19

Penzenskaya Oblast

191

-12

15.8

0.8

869

6

1097

8

Rostovskaya Oblast

185

12

19.8

0.8

1056

4

960

22

Ryazanskaya Oblast

203

-16

15.7

1

838

8

1310

16

Stavropolskiy Kray

182

-4

20.9

0.3

1110

5

961

7

Sverdlovskaya Oblast

303

20

12.8

0.6

765

10

1265

14

Samarskaya Oblast

135

-25

16

0.8

890

4

1007

10

Saratovskaya Oblast

160

5

17.6

0.8

966

5

843

11

Tambovskaya Oblast

203

1

16.2

0.9

902

6

1188

20

Tyumenskaya Oblast

249

10

12.8

0.4

732

3

1078

9

Tatarstan Rep.

206

-9

14.9

0.4

807

5

1240

13

Ulyanovskaya Oblast

175

-19

15.9

0.9

860

6

1119

10

Udmurtiya Rep.

293

11

13.2

0.1

736

5

1433

21

Volgogradskaya O.

204

47

18.9

0.4

1006

3

810

18

Voronezhskaya Oblast

197

19

17.4

1.1

977

9

1148

29

 

 

 

Table A.10. United States, July –October 2018agroclimatic indicators and biomass (by state). All values are averages (TEMP) ortotals (RAIN, RADPAR, BIOMSS) over the reporting period

 

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

544

28

23.6

-0.3

1109

-6

1501

6

California

42

-21

18.6

0

1425

2

300

35

Idaho

102

-14

13.7

-0.7

1294

4

649

14

Indiana

487

16

20.3

0.2

1102

-1

1543

10

Illinois

486

18

20.3

-0.1

1115

-1

1566

16

Iowa

776

70

18.2

-0.8

1082

-5

1702

24

Kansas

556

40

20.8

-1.2

1117

-7

1271

1

Michigan

436

27

16.9

0.4

985

-1

1027

-10

Minnesota

546

41

15.3

-1.2

985

-4

1494

21

Missouri

464

-1

21.5

-0.1

1116

-4

1583

11

Montana

173

11

13.7

-1.5

1169

1

914

24

Nebraska

506

47

18.2

-1.2

1153

-3

1458

22

North Dakota

357

46

14.5

-1.5

1060

0

1264

29

Ohio

479

19

20

0.5

1055

-2

1372

0

Oklahoma

557

41

23.1

-1.2

1109

-9

1398

10

Oregon

60

-47

15.4

-0.4

1248

5

402

-10

South Dakota

411

38

17

-1.4

1126

-2

1449

35

Texas

511

58

25.2

-0.6

1166

-6

1248

18

Washington

92

-33

15.1

-0.7

1164

4

402

-14

Wisconsin

671

62

16.2

-0.5

988

-5

1357

8


Table A.11. China, July –October 2018agroclimatic indicators and biomass (by province). All values are averages(TEMP) or totals (RAIN, RADPAR, BIOMSS) over the reporting period

 

 

RAIN Current (mm)

RAIN 15YA Departure (%)

TEMP Current (°C)

TEMP 15YA Departure  (°C)

RADPAR Current (MJ/m2)

RADPAR 15YA Departure (%)

BIOMSS Current (gDM/m2)

Anhui

508

-14

24.5

-0.2

1108

11

1679

6

Chongqing

567

0

21.8

-0.6

1016

2

1660

2

Fujian

673

27

23.8

-0.4

1092

1

1909

24

Gansu

345

3

15.4

-0.3

998

-2

907

-12

Guangdong

863

30

25.5

-1.1

1087

-6

1764

7

Guangxi

726

11

24.8

-1.1

1074

-5

1771

8

Guizhou

383

-20

21.1

-0.7

949

0

1581

6

Hebei

460

21

19.5

-0.2

1089

0

952

-21

Heilongjiang

448

27

15.7

0.1

951

-3

1044

-11

Henan

354

-30

23.5

0.4

1108

8

1113

-22

Hubei

396

-26

23.4

0

1086

7

1523

-4

Hunan

522

14

23.9

-0.8

1089

3

1717

19

Jiangsu

425

-27

24.5

0.1

1119

12

1442

-4

Jiangxi

526

14

25.1

-0.9

1145

6

1875

28

Jilin

414

4

16.8

-0.1

971

-6

1084

-12

Liaoning

439

0

18.9

0.1

1030

-1

1050

-19

Inner Mongolia

375

31

15.1

-0.2

1054

-2

991

-2

Ningxia

292

25

16.1

-0.7

1091

-2

739

-9

Shaanxi

401

-18

18.8

-0.3

1109

8

1067

-24

Shandong

453

-9

23

0.5

1128

7

996

-23

Shanxi

376

-4

17

-0.2

1127

5

955

-23

Sichuan

675

9

19.1

-0.6

941

-1

1398

-11

Yunnan

629

-5

18.9

-0.7

909

0

1466

-11

Zhejiang

759

33

24.3

-0.2

1071

5

1885

20