2000–2018年青海省三江源地区250米空间分辨率植被净初级生产力数据集  

A dataset of vegetation net primary productivity at 250-meter spatial resolution in the Three-River Headwaters Region of Qinghai Province from 2000 to 2018

作　　者：王军邦[1] 张秀娟[2] 叶辉 WANG Junbang;ZHANG Xiujuan;YE Hui(National Ecological Science Data Center,Key Laboratory of Ecosystem Network Observation and Modeling,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,P.R.China;College of Horticulture and Landscape Architecture,Yangtze University,Jingzhou 434000,P.R.China;College of Tourism and Geography,Jiujiang University,Jiujiang 332000,P.R.China)

机构地区：[1]中国科学院地理科学与资源研究所,生态系统网络观测与模拟重点实验室,国家生态科学数据中心,北京100101 [2]长江大学,园艺园林学院,湖北荆州434000 [3]九江学院,旅游与地理学院,江西九江332000

出　　处：《中国科学数据（中英文网络版）》2024年第2期250-260,共11页China Scientific Data

基　　金：中国科学院战略性先导科技项目(XDA23100202);自然科学基金项目(31971507);青海省科技项目(2017-SF-A6);中国科学院青海省人民政府三江源国家公园联合研究专项(LHZX-2020-07)。

摘　　要：植被净初级生产力(NPP)作为量化陆地生态系统光合生产的关键指标,随着生态系统过程模拟和卫星遥感技术的发展而得到了广泛应用,为空间异质性较高的陆地生态系统长期时空动态变化及机制研究提供关键数据基础。应用遥感-生态过程耦合模型GLOPEM-CEVSA以2000–2018年空间插值的气象数据和基于遥感反演的植被光合有效辐射吸收率(FPAR)数据为输入,得到2000–2018年青海省三江源地区250米空间分辨率植被净初级生产力(NPP)数据集,并通过国家生态科学数据中心开放共享。通过数据共享,以期为三江源地区陆地生态系统的时空变化研究和可持续发展管理决策提供可靠的科学数据支持。Net primary productivity(NPP)is a fundamental indicator quantifying photosynthetic production in ecology.With the development of ecosystem process simulation and satellite remote sensing technology,NPP is widely applied to exploring long-term spatiotemporal dynamics and underlying mechanism in terrestrial ecosystems with high spatial heterogeneity.Using the remote sensing ecological process coupling model GLOPEM-CEVSA and incorporating meteorological data interpolated from 2000 to 2018 the remote sensing-based vegetation photosynthetically active radiation absorption(FPAR)data,we obtained a dataset of vegetation net primary productivity at 250-meter spatial resolution for the Three-River Headwaters Region of Qinghai Province from 2000 to 2018.The dataset was made accessible to the public through the National Data Center for Ecological Sciences.The data sharing is expected to provide reliable scientific data to support for the study of spatial and temporal changes and the decision making related to sustainable development in the region.

关 键 词：高寒草地 三江源 遥感数据 GLOPEM-CEVSA模型 

分 类 号：Q948[生物学—植物学]