Authors
Shilong Piao, Guodong Yin, Jianguang Tan, Lei Cheng, Mengtian Huang, Yue Li, Ronggao Liu, Jiafu Mao, Ranga B Myneni, Shushi Peng, Ben Poulter, Xiaoying Shi, Zhiqiang Xiao, Ning Zeng, ZhenZhong Zeng, Yingping Wang
Publication date
2015/4
Journal
Global change biology
Volume
21
Issue
4
Pages
1601-1609
Description
The reliable detection and attribution of changes in vegetation growth is a prerequisite for the development of strategies for the sustainable management of ecosystems. This is an extraordinary challenge. To our knowledge, this study is the first to comprehensively detect and attribute a greening trend in China over the last three decades. We use three different satellite‐derived Leaf Area Index (LAI) datasets for detection as well as five different process‐based ecosystem models for attribution. Rising atmospheric CO2 concentration and nitrogen deposition are identified as the most likely causes of the greening trend in China, explaining 85% and 41% of the average growing‐season LAI trend (LAIGS) estimated by satellite datasets (average trend of 0.0070 yr−1, ranging from 0.0035 yr−1 to 0.0127 yr−1), respectively. The contribution of nitrogen deposition is more clearly seen in southern China than in the north of the …
Total citations
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Scholar articles
S Piao, G Yin, J Tan, L Cheng, M Huang, Y Li, R Liu… - Global change biology, 2015