干旱区生态环境知识资源中心(Arid): Comparative Assessment of Vegetation Dynamics under the Influence of Climate Change and Human Activities in Five Ecologically Vulnerable Regions of China from 2000 to 2015

Arid

DOI	10.3390/f10040317
	Comparative Assessment of Vegetation Dynamics under the Influence of Climate Change and Human Activities in Five Ecologically Vulnerable Regions of China from 2000 to 2015
	Wang, Hao 1; Liu, Guohua 2; Li, Zongshan 2; Wang, Pengtao 3,4; Wang, Zhuangzhuang 1
通讯作者	Wang, Hao
来源期刊	FORESTS
ISSN	1999-4907
出版年	2019
卷号	10 期号:4
英文摘要	Ongoing climate change and human activities have a great effect on vegetation dynamics. Understanding the impact of climate change and human activities on vegetation dynamics in different ecologically vulnerable regions has great significance in ecosystem management. In this study, the predicted NPP (Net Primary Productivity) and the actual NPP based on different ecological process data and models were combined to estimate the vegetation dynamics and their driving forces in the Northern Wind-sand, Loess Plateau, Arid Desert, Tibetan Plateau, and Karst regions from 2000 to 2015. The results indicated that the NPP in all ecologically vulnerable regions showed a restoration trend, except for that in the Karst region, and the percentage of areas in which NPP increased were, in order, 78% for the Loess Plateau, 71% for the Northern Wind-sand, 69% for the Arid Desert, 54% for the Tibetan Plateau, and 31% for the Karst regions. Vegetation restorations in the Northern Wind-sand and Arid Desert regions were primarily attributable to human activities (86% and 61% of the restoration area, respectively), indicating the success of ecological restoration programs. The Loess Plateau had the largest proportion of vegetation restoration area (44%), which was driven by combined effects of climate and human factors. In the Tibetan Plateau, the vegetation changes due to climate factors were primarily distributed in the west, while those due to human factors were primarily distributed in the east. Human activities caused nearly 60% of the vegetation degradation in the Karst region. Based on these results, it is recognizable that regional climate conditions are the key factor that limits ecological restoration. Therefore, future policy-making should pay more attention to the local characteristics of different ecological vulnerable regions in regional ecosystem management to select reasonable restoration measures, improve restoration efficiency, and maximize the benefits of ecological restoration programs.
英文关键词	NPP (Net Primary Productivity) climate change human activity vegetation dynamics China
类型	Article
语种	英语
国家	Peoples R China
开放获取类型	gold, Green Submitted
收录类别	SCI-E
WOS记录号	WOS:000467303600025
WOS关键词	NET PRIMARY PRODUCTIVITY ; 3-RIVER SOURCE REGION ; SAND SOURCE REGION ; LOESS PLATEAU ; RESTORATION PROJECTS ; ECOSYSTEM SERVICES ; QUANTITATIVE ASSESSMENT ; LAND DEGRADATION ; GRASSLAND ; COVER
WOS类目	Forestry
WOS研究方向	Forestry
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/215688
作者单位	1.Shaanxi Normal Univ, Sch Geog & Tourism, Dept Geog, Xian 710119, Shaanxi, Peoples R China; 2.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China; 3.Xian Int Studies Univ, Sch Tourism, Xian 710128, Shaanxi, Peoples R China; 4.Xian Int Studies Univ, Res Inst Human Geog, Xian 710128, Shaanxi, Peoples R China
推荐引用方式 GB/T 7714	Wang, Hao,Liu, Guohua,Li, Zongshan,et al. Comparative Assessment of Vegetation Dynamics under the Influence of Climate Change and Human Activities in Five Ecologically Vulnerable Regions of China from 2000 to 2015[J],2019,10(4).
APA	Wang, Hao,Liu, Guohua,Li, Zongshan,Wang, Pengtao,&Wang, Zhuangzhuang.(2019).Comparative Assessment of Vegetation Dynamics under the Influence of Climate Change and Human Activities in Five Ecologically Vulnerable Regions of China from 2000 to 2015.FORESTS,10(4).
MLA	Wang, Hao,et al."Comparative Assessment of Vegetation Dynamics under the Influence of Climate Change and Human Activities in Five Ecologically Vulnerable Regions of China from 2000 to 2015".FORESTS 10.4(2019).