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Separating the Impact of Climate Changes and Human Activities on Vegetation Growth Based on the NDVI in China
Author(s) -
Wenli Lai,
Mingming Wang,
Jun Wei,
Jie Zhang,
Jiayu Song,
Haiyan Zhou,
Shuren Chou,
Yongping Wang
Publication year - 2022
Publication title -
advances in meteorology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.482
H-Index - 32
eISSN - 1687-9317
pISSN - 1687-9309
DOI - 10.1155/2022/6294029
Subject(s) - normalized difference vegetation index , china , vegetation (pathology) , geography , physical geography , climate change , climatology , ecology , archaeology , biology , geology , medicine , pathology
Vegetation growth is affected by both climate changes and human activities. In this study, we investigated the vegetation growth response to climate change (precipitation and temperature) and human activities in nine subregions and for nine vegetation types in China from 1982 to 2015. The normalized difference vegetation index (NDVI) and the RESTREND method based on a multiple linear regression model were employed to this end. An overall increasing trend in the NDVI was observed in recent decades, and the fastest increases were identified in southern China (TrendNDVI = +0.0190) and evergreen broad-leaved forests (TrendNDVI = +0.0152). For >66% of China, vegetation is more sensitive to temperature and less sensitive to precipitation based on the regression coefficients. The water demand for vegetative growth increased significantly from 1999 to 2015 with global warming, especially in parts of the temperate zone. We defined a relative change in the residual trend to quantify the impact of human activities on vegetation. RESTREND NDVI / NDVI in two periods (P1, 1982–1998 and P2, 1999–2015) markedly increased, indicating that human activities play a key role in the reversal of land degradation.

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