干旱区生态环境知识资源中心(Arid): Dominant role of grazing and snow cover variability on vegetation shifts in the drylands of Kazakhstan

Arid

DOI	10.1038/s43247-024-01587-1
	Dominant role of grazing and snow cover variability on vegetation shifts in the drylands of Kazakhstan
	Kolluru, Venkatesh; John, Ranjeet; Chen, Jiquan; Konkathi, Preethi; Kolluru, Srinivas; Saraf, Sakshi; Henebry, Geoffrey M.; Xiao, Jingfeng; Jain, Khushboo; Kussainova, Maira
通讯作者	Kolluru, V
来源期刊	COMMUNICATIONS EARTH & ENVIRONMENT
EISSN	2662-4435
出版年	2024
卷号	5 期号:1
英文摘要	Decomposing the responses of ecosystem structure and function in drylands to changes in human-environmental forcing is a pressing challenge. Though trend detection studies are extensive, these studies often fail to attribute them to potential spatiotemporal drivers. Most attribution studies use a single empirical model or a causal graph that cannot be generalized or extrapolated to larger scales or account for spatial changes and multiple independent processes. Here, we proposed and tested a multi-stage, multi-model framework that detects vegetation trends and attributes them to ten independent social-environmental system (SES) drivers in Kazakhstan (KZ). The time series segmented residual trend analysis showed that 45.71% of KZ experienced vegetation degradation, with land use change as the predominant contributor (22.54%; 0.54 million km2), followed by climate change and climate variability. Pixel-wise fitted Granger Causality and random forest models revealed that sheep & goat density and snow cover had dominant negative and positive impacts on vegetation in degraded areas, respectively. Overall, we attribute vegetation changes to SES driver impacts for 19.81% of KZ (out of 2.39 million km2). The identified vegetation degradation hotspots from this study will help identify locations where restoration projects could have a greater impact and achieve land degradation neutrality in KZ. A detection, contribution, and attribution framework analysis suggests that almost 46% of the land area in Kazakhstan has experienced vegetation degradation, with grazing and snow cover variability identified as the principal drivers of degradation.
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001288346500001
WOS关键词	CENTRAL-ASIA ; AGRICULTURAL LAND ; CLIMATE-CHANGE ; TIME-SERIES ; DEGRADATION ; DESERTIFICATION ; SENSITIVITY ; DYNAMICS
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Meteorology & Atmospheric Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/403232
推荐引用方式 GB/T 7714	Kolluru, Venkatesh,John, Ranjeet,Chen, Jiquan,et al. Dominant role of grazing and snow cover variability on vegetation shifts in the drylands of Kazakhstan[J],2024,5(1).
APA	Kolluru, Venkatesh.,John, Ranjeet.,Chen, Jiquan.,Konkathi, Preethi.,Kolluru, Srinivas.,...&Kussainova, Maira.(2024).Dominant role of grazing and snow cover variability on vegetation shifts in the drylands of Kazakhstan.COMMUNICATIONS EARTH & ENVIRONMENT,5(1).
MLA	Kolluru, Venkatesh,et al."Dominant role of grazing and snow cover variability on vegetation shifts in the drylands of Kazakhstan".COMMUNICATIONS EARTH & ENVIRONMENT 5.1(2024).