干旱区生态环境知识资源中心(Arid): Early warning signals of grassland ecosystem degradation: A case study from the northeast Qinghai-Tibetan Plateau

Arid

DOI	10.1016/j.catena.2024.107970
	Early warning signals of grassland ecosystem degradation: A case study from the northeast Qinghai-Tibetan Plateau
	Wang, Yuxin; Liu, Hu; Zhao, Wenzhi; Jiang, Jiachang; He, Zhibin; Yu, Yang; Guo, Li; Yetemen, Omer
通讯作者	Liu, H ; Zhao, WZ
来源期刊	CATENA
ISSN	0341-8162
EISSN	1872-6887
出版年	2024
卷号	239
英文摘要	As a typical vulnerable ecosystem, alpine steppes can be subject to nonlinear accelerations in degradation, once tipping points are reached or exceeded, and thus far more effort and investment will be needed, to reverse the degraded status of such ecosystems, if effective preventive measures or interventions are not adopted sufficiently early. Thus, detecting early warning signals of tipping events is extremely important for ecosystem protection and recovery, but remains highly challenging. For alpine steppes, coverage or biomass loss and species invasion are both key transitions. Using multi-source data, including ground surveys and remote sensing images with different resolutions, we tried to screen and identify potential early-warning signals for alpine grassland degradation events and analyze their efficacy. The results showed that the degradation levels derived from spatial heterogeneity information combined with a vegetation index were reliable, as was verified by ground surveys, and could illustrate the degradation process of a grassland ecosystem. Six common early-warning signals (variance, skewness, and autocorrelation, from both the spatial and temporal domains) were tested according to degradation degree, and spatial autocorrelation and temporal autocorrelation had the best performances, as they could indicate different degradation levels, and the change trends of temporal autocorrelation could provide early-warning functions. A waved change of spatial variance could reflect a vegetation growth dynamic that might indicate species invasion. In this study, the threshold values of spatial and temporal autocorrelation were 0.7 and 0.2, respectively, and from these, the thresholds of vegetation coverage and biomass were then obtained. However, these signals and thresholds had some limitations during application. These findings provide insights into better understanding of the alpine grassland degradation process, and contribute to a better management approach for vulnerable ecosystems using early-warning methods.
英文关键词	Early warning Grassland degradation Ground surveys Remote sensing Spatiotemporal signals
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001218958700001
WOS关键词	PERFORMANCE ; DESERTIFICATION ; INDICATORS ; PATTERNS ; REGION ; SHIFTS
WOS类目	Geosciences, Multidisciplinary ; Soil Science ; Water Resources
WOS研究方向	Geology ; Agriculture ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/403143
推荐引用方式 GB/T 7714	Wang, Yuxin,Liu, Hu,Zhao, Wenzhi,et al. Early warning signals of grassland ecosystem degradation: A case study from the northeast Qinghai-Tibetan Plateau[J],2024,239.
APA	Wang, Yuxin.,Liu, Hu.,Zhao, Wenzhi.,Jiang, Jiachang.,He, Zhibin.,...&Yetemen, Omer.(2024).Early warning signals of grassland ecosystem degradation: A case study from the northeast Qinghai-Tibetan Plateau.CATENA,239.
MLA	Wang, Yuxin,et al."Early warning signals of grassland ecosystem degradation: A case study from the northeast Qinghai-Tibetan Plateau".CATENA 239(2024).