Detection and attribution of vegetation greening trend in China over the last 30 years

• Published in: Global change biology Vol. 21; no. 4; pp. 1601 - 1609
• Main Authors: Piao, Shilong, Yin, Guodong, Tan, Jianguang, Cheng, Lei, Huang, Mengtian, Li, Yue, Liu, Ronggao, Mao, Jiafu, Myneni, Ranga B, Peng, Shushi, Poulter, Ben, Shi, Xiaoying, Xiao, Zhiqiang, Zeng, Ning, Zeng, ZhenZhong, Wang, Yingping
• Format: Journal Article
• Language: English
• Published: England Blackwell Science 01.04.2015; Blackwell Publishing Ltd
• Subjects: afforestation; attribution; Biogeochemistry; Carbon dioxide; Carbon Dioxide - analysis; China; Climate Change; Climate effects; CO2 fertilization effect; Conservation of Natural Resources; data collection; detection; Development strategies; Ecosystem management; Ecosystem models; ecosystems; Environmental impact; Environmental Monitoring; Forests; Greenhouse gases; greening trend; growing season; leaf area index; Models, Theoretical; Nitrogen; Nitrogen - analysis; nitrogen deposition; Plant Development; plateaus; Remote Sensing Technology; Spacecraft; Sustainability management; Temperature; Vegetation; China; China, People's Rep., Qinghai-Xizang Plateau; China, People's Rep., Inner Mongolia; China, People's Rep; greening trend; detection; afforestation; China; nitrogen deposition; attribution; CO2 fertilization effect

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 tr...