干旱区生态环境知识资源中心(Arid): Carbon variation of dry grasslands in Central Asia in response to climate controls and grazing appropriation

Arid

DOI	10.1007/s11356-022-18542-2
	Carbon variation of dry grasslands in Central Asia in response to climate controls and grazing appropriation
	Zhu, Shihua; Chen, Xi; Zhang, Chi; Fang, Xia; Cao, Liangzhong
通讯作者	Zhang, C (corresponding author)，Linyi Univ, Coll Resources & Environm, Shandong Prov Key Lab Water & Soil Conservat & En, Linyi 276000, Shandong, Peoples R China. ; Zhang, C (corresponding author)，Chinese Acad Sci, Res Ctr Ecol & Environm Cent Asia, Urumqi 830011, Peoples R China.
来源期刊	ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
ISSN	0944-1344
EISSN	1614-7499
出版年	2022-01
英文摘要	Quantification of grassland carbon (C) variations is necessary for understanding how grazing and climate change interact to regulate carbon capture and release. Central Asia (CA) has the largest temperate grassland belt in the world and unique temperate dryland ecosystems, which experienced severe climate change and grazing-induced disturbances. However, the impact of grazing on C dynamics is highly uncertain owing to climate variations. Here, an arid ecosystem model (AEM) supplemented with a grazing module that specifically addressed physiological and ecological characteristics of dryland vegetation was developed to quantitatively simulate grassland C dynamics in response to changes in precipitation, temperature, grazing intensity, and CO2 level in the past decades. The regional simulation results showed that net primary productivity (NPP) was affected mainly by precipitation (in 59% of the studied area). Grazing had a negative effect on NPP and C stocks, whereas overcompensation occurred in 25.71% of the studied area, mainly in the dry western parts. The complex interaction effects of climate, CO2, and grazing negatively affected productivity, with a grassland NPP decrease of - 1.14 g C/m(2)/a and high interannual variability. We found that the temporal pattern of cumulative C sequestration, especially total C and vegetation C (VEGC), closely followed the annual fluctuations of precipitation. VEGC stocks decreased from 182.22 to 177.82 g C/m(2), with a very low value between 1998 and 2008, when precipitation significantly decreased. The results indicate that southern Xinjiang and the Turgay Plateau of Kazakhstan are ecologically fragile areas due to grassland degradation.
英文关键词	Carbon dynamics AEM grazing model Grazing Climate change Central Asia Precipitation
类型	Article ; Early Access
语种	英语
开放获取类型	hybrid
收录类别	SCI-E
WOS记录号	WOS:000742959300017
WOS关键词	NET PRIMARY PRODUCTION ; LAND-COVER CHANGE ; PRIMARY PRODUCTIVITY ; DRYLAND ECOSYSTEMS ; SOIL CARBON ; VEGETATION ; KAZAKSTAN ; DYNAMICS ; NITROGEN ; BIOMASS
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/377151
作者单位	[Zhu, Shihua] Jiangsu Climate Ctr, Nanjing 210009, Peoples R China; [Zhu, Shihua] Nanjing Univ, Int Inst Earth Syst Sci, Nanjing 210093, Peoples R China; [Chen, Xi] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China; [Zhang, Chi] Linyi Univ, Coll Resources & Environm, Shandong Prov Key Lab Water & Soil Conservat & En, Linyi 276000, Shandong, Peoples R China; [Zhang, Chi] Chinese Acad Sci, Res Ctr Ecol & Environm Cent Asia, Urumqi 830011, Peoples R China; [Fang, Xia] Xinjiang Inst Engn, Urumqi 830091, Xinjiang, Peoples R China; [Cao, Liangzhong] Jiujiang Univ, Jiujiang 332005, Peoples R China
推荐引用方式 GB/T 7714	Zhu, Shihua,Chen, Xi,Zhang, Chi,et al. Carbon variation of dry grasslands in Central Asia in response to climate controls and grazing appropriation[J],2022.
APA	Zhu, Shihua,Chen, Xi,Zhang, Chi,Fang, Xia,&Cao, Liangzhong.(2022).Carbon variation of dry grasslands in Central Asia in response to climate controls and grazing appropriation.ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH.
MLA	Zhu, Shihua,et al."Carbon variation of dry grasslands in Central Asia in response to climate controls and grazing appropriation".ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2022).