2000-2018年全球500米净初级生产力8天数据

陆地总初级生产力（Gross primary productivity, GPP）定义为生态系统中植物固定时间段内通过光合作用途径固定的总有机碳量，决定了进入陆地生态系统的初始化学能量与物质总量。而评估碳循环过程则是利用净初级生产力的概念（Net primary productivity，NPP），它表示了GPP中扣除生态系统中自养呼吸消耗（Ecosystem respiration, Re）后的剩余的部分，是构成生物量主要的部分。准确评估GPP以及NPP对全球碳循环评估都有重要的意义。本项目当中利用修正过后的EC-LUE 陆地生态系统生产力模型，结合GLASS-LAI产品，生产了自1982-2020年GPP/NPP产品。产品与通量站数据对比，GPP平均相对误差最大为11.8%，NPP平均相对误差最大为5%，产品符合项目精度要求。GLASS陆地生态系统GPP产品是时间序列最长、且时空无缝的全球遥感GPP产品。GLASS GPP产品是全球首套考虑CO2浓度变化的GPP产品，具有评估长时间序列植被生产力变化趋势的能力。

Gross Primary Productivity (GPP) is defined as the total amount of organic carbon fixed by plants in terrestrial ecosystems via photosynthesis within a given time period, which determines the initial pool of chemical energy and materials entering the terrestrial ecosystem. The assessment of terrestrial carbon cycle processes relies on the concept of Net Primary Productivity (NPP), which refers to the remaining portion of GPP after subtracting the carbon consumed by ecosystem respiration (Re), and it constitutes the primary component of biomass. Accurate estimation of both GPP and NPP is of critical importance for global carbon cycle assessments.

In this project, a modified EC-LUE terrestrial ecosystem productivity model combined with the GLASS-LAI product was utilized to generate GPP/NPP products covering the period from 1982 to 2020. When validated against flux tower observational data, the maximum average relative error of GPP reached 11.8%, while that of NPP reached 5%, demonstrating that the products meet the project's accuracy requirements.

The GLASS terrestrial ecosystem GPP product is the global remote sensing GPP product with the longest time series and seamless spatial-temporal coverage. Furthermore, the GLASS GPP product is the world's first set of GPP products that accounts for variations in atmospheric CO2 concentration, enabling the assessment of long-term trends in vegetation productivity changes.

搜集汇总

背景与挑战

背景概述

该数据集包含2000-2018年全球500米分辨率的8天净初级生产力数据，基于EC-LUE模型生成，NPP产品相对误差为5%，适合全球碳循环和长期植被生产力变化研究。