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The contrasting east–west pattern of vegetation restoration under the large‐scale ecological restoration programmes in southwest China
Author(s) -
Zhao Haiwei,
Wu Ruidong,
Hu Jinming,
Yang Feiling,
Wang Junjun,
Guo Yang,
Zhou Jian,
Wang Yiting,
Zhang Chen,
Feng Zhixue
Publication year - 2020
Publication title -
land degradation and development
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.403
H-Index - 81
eISSN - 1099-145X
pISSN - 1085-3278
DOI - 10.1002/ldr.3520
Subject(s) - normalized difference vegetation index , greening , vegetation (pathology) , afforestation , restoration ecology , physical geography , scale (ratio) , environmental science , spatial ecology , china , geography , common spatial pattern , ecology , environmental resource management , climate change , agroforestry , cartography , medicine , archaeology , pathology , biology
Ecological restoration programmes (ERPs) play an important role in reversing degraded ecosystems and realizing environmental sustainability. However, few studies have given attention to the spatial heterogeneity in the effectiveness of large‐scale ERPs for restoring vegetation on a broad regional scale. Based on the GIMMS NDVI 3g time‐series of southwest China, we determined the spatiotemporal trends of the peak growing season NDVI (PGS‐NDVI) in the pre‐ERP stage (1982–1998) and in the post‐ERP stage (1999–2015). Using the NDVI‐climate regression model developed during the pre‐ERP stage and the residual trend analysis method, we derived the anthropogenic PGS‐NDVI trends of the post‐ERP stage on a per‐pixel and spatial average basis. We found that there existed an east (greening)–west (browning) contrasting pattern in the anthropogenic vegetation change during the post‐ERP stage. The proportions of anthropogenic greening pixels were heterogeneous among provinces, ranging from 66.1% (Guangxi) to 8.6% (Xizang). The ERP effectiveness index and the ERP efficiency index for Guangxi were the highest among the provinces, whereas they were both negative for Yunnan and Xizang. Such contrasting restoration pattern was probably caused by multiple factors, including but not limited to the imbalanced implementation of large‐scale ERPs and the inappropriate afforestation that inadequately takes into account local conditions. Our analysis highlights the great heterogeneity in the effectiveness of large‐scale ERPs for vegetation restoration across a broad regional scale. Large‐scale ERPs should be implemented in a coordinated manner and be tailored to local conditions.