气候变化领域集成服务门户(CCPortal): Detection and attribution of vegetation greening trend in China over the last 30 years

CCPortal

DOI	10.1111/gcb.12795
	Detection and attribution of vegetation greening trend in China over the last 30 years
	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
通讯作者	Piao, SL (通讯作者)
发表日期	2015
ISSN	1354-1013
EISSN	1365-2486
起始页码	1601
结束页码	1609
卷号	21 期号:4
英文摘要	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 (LAI(GS)) estimated by satellite datasets (average trend of 0.0070yr(-1), ranging from 0.0035yr(-1) to 0.0127yr(-1)), respectively. The contribution of nitrogen deposition is more clearly seen in southern China than in the north of the country. Models disagree about the contribution of climate change alone to the trend in LAI(GS) at the country scale (one model shows a significant increasing trend, whereas two others show significant decreasing trends). However, the models generally agree on the negative impacts of climate change in north China and Inner Mongolia and the positive impact in the Qinghai-Xizang plateau. Provincial forest area change tends to be significantly correlated with the trend of LAI(GS) (P<0.05), and marginally significantly (P=0.07) correlated with the residual of LAI(GS) trend, calculated as the trend observed by satellite minus that estimated by models through considering the effects of climate change, rising CO2 concentration and nitrogen deposition, across different provinces. This result highlights the important role of China's afforestation program in explaining the spatial patterns of trend in vegetation growth.
关键词	LEAF-AREA INDEX TERRESTRIAL CARBON-CYCLE NET PRIMARY PRODUCTION PLANT GEOGRAPHY CLIMATE-CHANGE CO2 TEMPERATURE NITROGEN ECOSYSTEMS SEASONALITY
英文关键词	afforestation; attribution; China; CO2 fertilization effect; detection; greening trend; nitrogen deposition
语种	英语
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology
WOS类目	Biodiversity Conservation ; Ecology ; Environmental Sciences
WOS记录号	WOS:000351214100022
来源期刊	GLOBAL CHANGE BIOLOGY
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/258606
推荐引用方式 GB/T 7714	Piao, Shilong,Yin, Guodong,Tan, Jianguang,et al. Detection and attribution of vegetation greening trend in China over the last 30 years[J]. 中国科学院青藏高原研究所,2015,21(4).
APA	Piao, Shilong.,Yin, Guodong.,Tan, Jianguang.,Cheng, Lei.,Huang, Mengtian.,...&Wang, Yingping.(2015).Detection and attribution of vegetation greening trend in China over the last 30 years.GLOBAL CHANGE BIOLOGY,21(4).
MLA	Piao, Shilong,et al."Detection and attribution of vegetation greening trend in China over the last 30 years".GLOBAL CHANGE BIOLOGY 21.4(2015).