干旱区生态环境知识资源中心(Arid): Sensitivity of vegetation dynamics to climate variability in a forest-steppe transition ecozone, north-eastern Inner Mongolia, China

Arid

DOI	10.1016/j.ecolind.2020.106833
	Sensitivity of vegetation dynamics to climate variability in a forest-steppe transition ecozone, north-eastern Inner Mongolia, China
	You, Guangyong; Liu, Bo; Zou, Changxin; Li, Haidong; McKenzie, Shawn; He, Yaqian; Gao, Jixi; Jia, Xiru; Arain, M. Altaf; Wang, Shusen; Wang, Zhi; Xia, Xin; Xu, Wanggu
通讯作者	Xu, WG
来源期刊	ECOLOGICAL INDICATORS
ISSN	1470-160X
EISSN	1872-7034
出版年	2021
卷号	120
英文摘要	Climate change and land use management were competing explanations for vegetation dynamics in cold and semi-arid region of north-eastern Inner Mongolia, China. In order to reveal the role of human disturbance and clarify the regional climate-vegetation relationship, long-term (1982-2013) datasets of climate variables and vegetation dynamics in a forest-steppe transition zone of north-eastern Inner Mongolia, China were collected. Partial correlation analyses, principal components regression (PCR), and residual analyses were conducted to reveal the vegetation sensitivities to different climate variables and the impact of anthropogenic activities on climate-vegetation relationship. The results showed that. (1) Annual mean air temperature (TMP) significantly increased at a linear slope of 0.08 degrees C per decade, annual precipitation (PRE) had an insignificantly linear slope of -16.42 mm per decade (p = 0.15). The average Normalized Difference Vegetation Index (NDVI) had a significantly negative trend over the past decades. A change point around the year 1998, coincided with the occurrence of an intense global El Nino event was also identified. (2) Regional climate change can be represented by changes in temperature, humidity and radiation. NDVI in the steppes display high sensitivity to moisture availability. Whereas, forests was influenced by the warmth index (WMI), accumulation of monthly temperature above a threshold of 5 degrees C. Partial correlation analyses showed that pixels of positive correlation with PRE (controlling TMP) overlap with the pixels of high partial correlation with minimum temperature (controlling maximum temperature), which suggests a hidden link between minimum temperature and PRE in this region. (3) The spatial distribution of significantly decreased NDVI overlap with cropland expansion, as well as the low residual square (R-2) from PCR analysis. The NDVI decline in these expanded croplands suggests human disturbance on vegetation dynamics. Following climate warming, NDVI of forested land displayed positive trend. Whereas, most of steppe displayed negative trend, possibly resulting from combined effects of climate drying and human disturbance. We conclude that the regional climate change can be characterized as warming and drying. Steppe areas were sensitive to humidity changes while forested land was mostly influenced by growing season warmth. Overall, the regional NDVI displayed significantly negative trend over the past decades. Beyond climate drying, cropland expansion in the transition area between grassland and forested land is also an important driver for decreased NDVI. Further studies on the ecological and hydrological consequences of crop land expansion is necessary.
英文关键词	Climate change Vegetation dynamics Change point Sensitivity analysis Cropland expansion
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:000591905100005
WOS关键词	SERIAL-CORRELATION ; GREEN PROGRAM ; RESPONSES ; TRENDS ; LAND ; TEMPERATURE ; ECOSYSTEMS ; GRASSLAND ; IMPACTS ; DROUGHT
WOS类目	Biodiversity Conservation ; Environmental Sciences
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology
来源机构	南京信息工程大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/328023
作者单位	[You, Guangyong; Zou, Changxin; Li, Haidong; Wang, Zhi; Xia, Xin; Xu, Wanggu] Nanjing Inst Environm Sci, Minist Ecol & Environm, Nanjing 210042, Jiangsu, Peoples R China; [Liu, Bo] Nanjing Univ Informat Sci & Technol, Sch Remote Sensing & Geomat Engn, Nanjing 210044, Jiangsu, Peoples R China; [McKenzie, Shawn; Arain, M. Altaf] McMaster Univ, Sch Geog & Earth Sci, Hamilton, ON L8S 4K1, Canada; [McKenzie, Shawn; Arain, M. Altaf] McMaster Univ, McMaster Ctr Climate Change, Hamilton, ON L8S 4K1, Canada; [He, Yaqian] Dartmouth Coll, Dept Geog, Hanover, NH 03755 USA; [Gao, Jixi] Minist Ecol & Environm Ctr Satellite Applicat Eco, Beijing 100094, Peoples R China; [Gao, Jixi; Jia, Xiru] Renmin Univ China, Sch Environm & Nat Resources, Beijing 100872, Peoples R China; [Wang, Shusen] Nat Resources Canada, Canada Ctr Remote Sensing, Ottawa, ON K1A 0E4, Canada
推荐引用方式 GB/T 7714	You, Guangyong,Liu, Bo,Zou, Changxin,et al. Sensitivity of vegetation dynamics to climate variability in a forest-steppe transition ecozone, north-eastern Inner Mongolia, China[J]. 南京信息工程大学,2021,120.
APA	You, Guangyong.,Liu, Bo.,Zou, Changxin.,Li, Haidong.,McKenzie, Shawn.,...&Xu, Wanggu.(2021).Sensitivity of vegetation dynamics to climate variability in a forest-steppe transition ecozone, north-eastern Inner Mongolia, China.ECOLOGICAL INDICATORS,120.
MLA	You, Guangyong,et al."Sensitivity of vegetation dynamics to climate variability in a forest-steppe transition ecozone, north-eastern Inner Mongolia, China".ECOLOGICAL INDICATORS 120(2021).