Net primary productivity of China's terrestrial ecosystems from a process model driven by remote sensing
Net primary productivity of China's terrestrial ecosystems from a process model driven by remote sensing
复制标题
DOI：
10.1016/j.jenvman.2006.09.021
复制
发表时间：
2007-11-01
影响因子：
8.7
通讯作者：
Zhou, W.
中科院分区：
文献类型：
--
作者：
Feng, X.;Liu, G.;Zhou, W.
陆地碳循环是全球气候变化研究的热点之一。模拟陆地生态系统的净初级生产力（NPP）对于碳循环研究非常重要。在这项研究中，中国的陆地核电厂使用北方生态系统生产力模拟器（BEPS）进行了模拟，这是一种基于遥感输入的碳-水耦合过程模型。为此，建立了分辨率为1公里的全国数据库（包括叶面积指数、土地覆盖、气象、植被和土壤）和验证数据库。利用这些数据库和BEPS，制作了2001年全中国大陆的NPP日图，并估算了总初级生产力（GPP）和自养呼吸（RA）。利用模拟结果，探讨中国陆地NPP的时空格局及其对各种环境因素的响应机制。中国陆地总NPP和平均NPP分别为2.235GtC和235.2gCm(-2)yr(-1)；总GPP和平均GPP分别为4.418 GtC和465 gCm m(-2) yr(-1) 1；总 RA 和平均 RA 分别为 2.227 GtC 和 234 gC m-2 yr-1。平均而言，NPP 为 GPP 的 50.6%。此外，对不同土地覆盖类型的NPP进行了统计分析，探讨了NPP的时空格局。评估和讨论了NPP对LAI、降水、温度、太阳辐射、VPD和AWC等关键因素变化的响应。 (C) 2006 Elsevier Ltd. 保留所有权利。
The terrestrial carbon cycle is one of the foci in global climate change research. Simulating net primary productivity (NPP) of terrestrial ecosystems is important for carbon cycle research. In this study, China's terrestrial NPP was simulated using the Boreal Ecosystem Productivity Simulator (BEPS), a carbon-water coupled process model based on remote sensing inputs. For these purposes, a national-wide database (including leaf area index, land cover, meteorology, vegetation and soil) at a I km resolution and a validation database were established. Using these databases and BEPS, daily maps of NPP for the entire China's landmass in 2001 were produced, and gross primary productivity (GPP) and autotrophic respiration (RA) were estimated. Using the simulated results, we explore temporal-spatial patterns of China's terrestrial NPP and the mechanisms of its responses to various environmental factors. The total NPP and mean NPP of China's landmass were 2.235GtC and 235.2gCm(-2) yr(-1), respectively; the total GPP and mean GPP were 4.418 GtC and 465 gCm m(-2) yr(-1) 1; and the total RA and mean RA were 2.227 GtC and 234 gC m-2 yr-1, respectively. On average, NPP was 50.6% of GPP. In addition, statistical analysis of NPP of different land cover types was conducted, and spatiotemporal patterns of NPP were investigated. The response of NPP to changes in some key factors such as LAI, precipitation, temperature, solar radiation, VPD and AWC are evaluated and discussed. (C) 2006 Elsevier Ltd. All rights reserved.