2002-2020年中国典型生态系统生产力和固碳能评估基准数据产品（含GPP、NEP）

本数据集以CERN长期动态监测数据库为基础，经过严格的质量控制和统计分析，首次提供了近15年来我国典型森林生态系统长时间序列的碳循环基准观测数据产品。主要包括基于观测和严格质控/统计处理后的基础观测数据集（生物、土壤、大气和水分等要素）；基于同化获取的碳循环关键过程参数集以及时间连续的固碳功能产品数据集，包括植被、土壤碳库、生产力、呼吸和碳汇等。

This dataset is developed based on the long-term dynamic monitoring database of CERN. Following strict quality control and statistical analysis, it provides, for the first time, long-time-series baseline observation data products of the carbon cycle for typical forest ecosystems across China over the past 15 years. The dataset primarily consists of two parts: 1) Basic observation datasets (covering elements including biology, soil, atmosphere and hydrology) derived from observations and processed via strict quality control and statistical methods; 2) Key process parameter sets of the carbon cycle acquired through data assimilation, as well as time-continuous carbon sequestration function product datasets, which include vegetation, soil carbon pools, productivity, respiration and carbon sinks, among others.

搜集汇总

背景与挑战

背景概述

该数据集涵盖2002-2020年中国多个典型森林生态系统的碳循环观测数据，包括GPP、NEP等关键参数，适用于生态系统生产力和固碳能力评估研究。