The net primary productivity (NPP) of global terrestrial vegetation is estimated by an Atmosphere-Vegetation Interaction Model (AVIM). AVIM consists of two intercoupled components: physical processes, involving water ...The net primary productivity (NPP) of global terrestrial vegetation is estimated by an Atmosphere-Vegetation Interaction Model (AVIM). AVIM consists of two intercoupled components: physical processes, involving water and energy transfer among soil, vegetation and the atmosphere at the land surface and eco-physiological processes, i.e. photosynthesis, respiration, dry matter allocation, littering, phenology. Globally vegetation is classified into 13 types and soil texture is classified into 6 types. The estimated NPP for different vegetation types at 1637 sites are validated with the observed data provided by EMDI. The main results of NPP estimation show that global averaged NPP is 405.13 g C m(-2)yr(-1), varying from 99.58 g C m(-2)yr(-1) (tundra) to 996.2 g m(-2)yr(-1) (rainforest). Global total annual NPP is about 60.72Gt C yr(-1), in which the maximum part, about 15.84 Gt C yr(-1), accounting for 26.09% of the total is contributed by tropical rainforest. The maximum carbon sink occurs in the temperate region of the Northern Hemisphere. The global spatial and seasonal distribution of terrestrial NPP is estimated reasonably.展开更多
文摘[目的]研究长江流域陆地植被生态系统初级净生产力(NPP)的时空演变特征,为政府部门建立和调整生态功能恢复项目提供参考。[方法]以长江流域为研究区,基于2000—2019年的降水和气温数据,采用周广胜—张新时模型(ZGS)和Thornthwaite Memorial (TM)模型估算NPP,并进一步利用皮尔逊相关分析、一元线性回归分析、Mann-Kendall显著性检验等,对比分析长江流域陆地植被生态系统NPP时空演变特征。[结果](1)基于上述两个模型模拟得到的长江流域NPP时空演变趋势基本一致,相关系数R为0.982,呈现显著正相关关系;(2)2000—2019年长江流域陆地植被生态系统实际NPP与潜在NPP均呈上升趋势,上升速率分别为6.85,2.74 g/(m^(2)·a)。(3)长江流域实际NPP和潜在NPP在空间上呈东南高西北低的分布格局,低值区域主要分布在草地生态系统;高值区域大部分分布在森林生态系统和农田生态系统。(4)2000—2019年长江流域实际NPP与潜在NPP呈上升趋势的面积分别占研究区总面积的80.65%和84.81%,主要分布在云南、青海、西藏、四川北部及浙江、上海大部分区域;呈下降趋势的面积分别占研究区总面积的19.35%和15.19%,主要分布在河南、湖北等地区。[结论] 2000—2019年来长江流域各植被生态系统植被NPP均呈上升趋势。长江流域自然资源管理和环境保护政策在促进生态系统保护与发展方面成效显著。
基金国家重点基础研究发展计划(973)“酸沉降对森林植被和农作物的影响及其评价方法研究”(编号:2005CB422200)国家自然科学基金项目“岸边缓冲带对非点源污染控制效应的遥感解析(编号:40671123)”+1 种基金“高等学校学科创新引智计划资助”(Supported by the 111 Project)(NOB06004)长江学者与创新团队发展计划协助
基金This study was supported by National Key Basic Research Development Program (G1999043400).
文摘The net primary productivity (NPP) of global terrestrial vegetation is estimated by an Atmosphere-Vegetation Interaction Model (AVIM). AVIM consists of two intercoupled components: physical processes, involving water and energy transfer among soil, vegetation and the atmosphere at the land surface and eco-physiological processes, i.e. photosynthesis, respiration, dry matter allocation, littering, phenology. Globally vegetation is classified into 13 types and soil texture is classified into 6 types. The estimated NPP for different vegetation types at 1637 sites are validated with the observed data provided by EMDI. The main results of NPP estimation show that global averaged NPP is 405.13 g C m(-2)yr(-1), varying from 99.58 g C m(-2)yr(-1) (tundra) to 996.2 g m(-2)yr(-1) (rainforest). Global total annual NPP is about 60.72Gt C yr(-1), in which the maximum part, about 15.84 Gt C yr(-1), accounting for 26.09% of the total is contributed by tropical rainforest. The maximum carbon sink occurs in the temperate region of the Northern Hemisphere. The global spatial and seasonal distribution of terrestrial NPP is estimated reasonably.
