中国陆地植被净初级生产力遥感估算

朱文泉, 潘耀忠, 张锦水

ESTIMATION OF NET PRIMARY PRODUCTIVITY OF CHINESE TERRESTRIAL VEGETATION BASED ON REMOTE SENSING

ZHU Wen-Quan, PAN Yao-Zhong, ZHANG Jin-Shui

表3 净初级生产力(NPP)模拟值与实测值的比较

Table 3 Comparison of simulated net primary productivity (NPP) and observed NPP

森林类型 Forest type 样本数 Samples 实测值(g C·m-2·a-1) Observed NPP 模拟值(g C·m-2·a-1) Simulated NPP 平均相对误差(%) Mean relative error 最小值 Min 最大值 Max 平均值 Mean 标准差 SE 最小值 Min 最大值 Max 平均值 Mean 标准差 SE 1 北方森林 Boreal forest 落叶松Larix forest 39 179 824 490 160.9 152 626 447 115.3 4.9 针阔混交林Coniferous broad-leaf mixed forest 21 257 717 472 128.3 348 559 469 49.7 6.2 冷杉-云杉林Abies-Picea forest 101 179 806 403 123.6 111 585 372 103.8 -0.2 山地杨桦林Montane Populus-Betula forest 72 270 1 314 681 230.1 198 1 135 694 139.2 12.3 樟子松Pinus sylvestris var. mongolica forest 9 258 387 317 37.1 48 425 354 116.9 13.1 2 落叶阔叶林Deciduous broad-leaf forest 典型落叶阔叶林Typical deciduous broad-leaf forest 41 259 704 518 116.5 214 862 663 145.9 36.1 杜加依林Tugai forest 8 114 430 259 118.3 186 426 270 88.9 19.6 3 常绿阔叶林Evergreen broad-leaf forest 典型常绿阔叶林Typical evergreen broad-leaf forest 129 478 1 577 1 041 249.4 401 1 753 927 246.3 -5.0 常绿-落叶阔叶林 Evergreen-deciduous broad-leaf mixed forest 22 414 1 098 722 141.4 493 1 099 688 155.4 -1.2 硬叶常绿阔叶林Sclerophyllous evergreen broad-leaf forest 9 407 651 542 73.3 401 1 221 872 297.8 59.3 4 热带雨林、季雨林Rain forest and monsoon forest 4 904 1 913 1 287 435.4 1 471 1 770 1 628 128.8 36.5 5 温带针叶林Temperate coniferous forest 油松林Pinus tabulaeformis forest 22 269 637 468 112.6 356 828 609 132.1 35.9 6 亚热带针叶林Subtropical coniferous forest 华山松与黄山松林Pinus armandi, P.taiwanensis and P. densata forest 35 260 845 566 157 198 1136 649 201.2 23.7 杉木林Cunninghamia lanceolata forest 86 328 1 669 791 339.9 401 1 115 608 136.8 -10.5 马尾松林Pinus massoniana forest 59 378 1 431 831 249.2 364 904 564 115.5 -27.2 云南松林Pinus yunnanensis and P. khasya forest 19 395 773 604 117.8 425 1 225 836 195.4 44.8 柏林Cupressus forest 14 342 1 023 587 200.7 198 1 136 611 240.6 13.4 合计 Total 690 114 1 913 684 313.9 48 1 770 641 259.2 4.5