Remote Sensing (Apr 2024)

Exploring the Spatiotemporal Alterations in China’s GPP Based on the DTEC Model

  • Jie Peng,
  • Yayong Xue,
  • Naiqing Pan,
  • Yuan Zhang,
  • Haibin Liang,
  • Fei Zhang

DOI
https://doi.org/10.3390/rs16081361
Journal volume & issue
Vol. 16, no. 8
p. 1361

Abstract

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Gross primary productivity (GPP) is a reliable measure of the carbon sink potential of terrestrial ecosystems and is an essential element of terrestrial carbon cycle research. This study employs the diffuse fraction-based two-leaf light-use efficiency (DTEC) model to imitate China’s monthly GPP from 2001 to 2020. We studied the trend of GPP, investigated its relationship with climatic factors, and separated the contributions of climate change and human activities. The findings showed that the DTEC model was widely applicable in China. During the study period, China’s average GPP increased significantly, by 9.77 g C m−2 yr−1 (p −2 yr−1. This research provides a theoretical foundation for the long-term management of China’s terrestrial ecosystems and helps develop adaptive ecological restoration tactics.

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