干旱区生态环境知识资源中心(Arid): Projecting Future Vegetation Change for Northeast China Using CMIP6 Model

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DOI	10.3390/rs13173531
	Projecting Future Vegetation Change for Northeast China Using CMIP6 Model
	Yuan, Wei; Wu, Shuang-Ye; Hou, Shugui; Xu, Zhiwei; Pang, Hongxi; Lu, Huayu
通讯作者	Wu, SY (corresponding author), Nanjing Univ, Sch Geog & Ocean Sci, Nanjing 210023, Peoples R China. ; Wu, SY (corresponding author), Univ Dayton, Dept Geol & Environm Geosci, Dayton, OH 45469 USA.
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2021
卷号	13 期号:17
英文摘要	Northeast China lies in the transition zone from the humid monsoonal to the arid continental climate, with diverse ecosystems and agricultural land highly susceptible to climate change. This region has experienced significant greening in the past three decades, but future trends remain uncertain. In this study, we provide a quantitative assessment of how vegetation, indicated by the leaf area index (LAI), will change in this region in response to future climate change. Based on the output of eleven CMIP6 global climates, Northeast China is likely to get warmer and wetter in the future, corresponding to an increase in regional LAI. Under the medium emissions scenario (SSP245), the average LAI is expected to increase by 0.27 for the mid-century (2041-2070) and 0.39 for the late century (2071-2100). Under the high emissions scenario (SSP585), the increase is 0.40 for the mid-century and 0.70 for the late century, respectively. Despite the increase in the regional mean, the LAI trend shows significant spatial heterogeneity, with likely decreases for the arid northwest and some sandy fields in this region. Therefore, climate change could pose additional challenges for long-term ecological and economic sustainability. Our findings could provide useful information to local decision makers for developing effective sustainable land management strategies in Northeast China.
英文关键词	vegetation change climate change CMIP6 models GWR model
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000694492900001
WOS关键词	LEAF-AREA INDEX ; CLIMATE-CHANGE ; ECOLOGICAL RESPONSES ; BIAS CORRECTION ; LAND-COVER ; SANDY LAND ; NDVI ; EARTH ; PRECIPITATION ; CARBON
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
来源机构	南京大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/368475
作者单位	[Yuan, Wei; Wu, Shuang-Ye; Hou, Shugui; Xu, Zhiwei; Pang, Hongxi; Lu, Huayu] Nanjing Univ, Sch Geog & Ocean Sci, Nanjing 210023, Peoples R China; [Wu, Shuang-Ye] Univ Dayton, Dept Geol & Environm Geosci, Dayton, OH 45469 USA; [Hou, Shugui] Shanghai Jiao Tong Univ, Sch Oceanog, Shanghai 200240, Peoples R China
推荐引用方式 GB/T 7714	Yuan, Wei,Wu, Shuang-Ye,Hou, Shugui,et al. Projecting Future Vegetation Change for Northeast China Using CMIP6 Model[J]. 南京大学,2021,13(17).
APA	Yuan, Wei,Wu, Shuang-Ye,Hou, Shugui,Xu, Zhiwei,Pang, Hongxi,&Lu, Huayu.(2021).Projecting Future Vegetation Change for Northeast China Using CMIP6 Model.REMOTE SENSING,13(17).
MLA	Yuan, Wei,et al."Projecting Future Vegetation Change for Northeast China Using CMIP6 Model".REMOTE SENSING 13.17(2021).