青藏高原植被生态系统呼吸时空变化图集（2001-2020）

生态系统呼吸（ Ecosystem Respiration, Re）是全球变化研究中重要的生态系统功能性指标，是应用生态学方法研究生态系统的碳通量及碳循环过程的关键参数，为评价区域生态系统在全球的碳平衡以及区域贡献和响应提供了基础。本数据集中的生态系统呼吸数据是基于MODIS影像数据利用ReRSM模型计算所得。使用到的MODIS遥感数据包括MOD13A2.061 植被指数数据（EVI），MOD09A1.061地表反射率数据，以及MOD11A2.061地表温度数据（LST）。ReRSM模型是计算生态系统呼吸的纯遥感模型，该模型将生态系统呼吸分为植物体呼吸(RGPP)及生态系统有机质(植被凋落物、土壤有机质)和土壤微生物呼吸(REOM)两大部分，计算所需的遥感参数包括EVI，LSWI（陆表水分指数） 和LST。该数据为2001年到2020年间20年的年度青藏高原主要生态系统呼吸数据，空间分辨率为1000m，该数据集涵盖草原、草甸、森林、灌丛等青藏高原主要植被类型。

Ecosystem Respiration (Re) is a critical functional ecosystem indicator in global change research, and a key parameter for investigating ecosystem carbon flux and carbon cycle processes using applied ecological methodologies. It provides a foundational basis for evaluating the regional ecosystem's carbon balance at the global scale, as well as its contributions to and responses to global changes.
The ecosystem respiration data in this dataset was derived using the ReRSM model based on MODIS imagery data. The MODIS remote sensing products utilized include MOD13A2.061 vegetation index data (EVI), MOD09A1.061 surface reflectance data, and MOD11A2.061 surface temperature data (LST).
The ReRSM model is a purely remote sensing-based model for calculating ecosystem respiration, which partitions Re into two components: plant respiration (RGPP), and respiration from ecosystem organic matter (including vegetation litter and soil organic matter) and soil microorganisms (REOM). The required remote sensing inputs for this model are EVI, LSWI (Land Surface Water Index), and LST.
This dataset provides 20 years of annual major ecosystem respiration data across the Qinghai-Tibet Plateau spanning from 2001 to 2020, with a spatial resolution of 1000 m. It covers major vegetation types on the Qinghai-Tibet Plateau, including grasslands, meadows, forests, and shrubs.

搜集汇总

背景与挑战

背景概述

该数据集提供了2001-2020年青藏高原植被生态系统呼吸的时空变化数据，空间分辨率为1000m，基于MODIS影像和ReRSM模型计算，涵盖多种植被类型。数据以TIFF格式存储，适用于多种空间分析软件。