Abstract
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.
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