干旱区生态环境知识资源中心(Arid): Can remotely sensed vegetation patterns signal dryland restoration success?

Arid

DOI	10.1111/rec.13760
	Can remotely sensed vegetation patterns signal dryland restoration success?
	Qiu, Yanning; Xu, Zhiwei; Xu, Chi; Holmgren, Milena
通讯作者	Qiu, YN ; Holmgren, M
来源期刊	RESTORATION ECOLOGY
ISSN	1061-2971
EISSN	1526-100X
出版年	2023
卷号	31 期号:3
英文摘要	Active restoration is frequently implemented to restore degraded drylands globally, yet predicting the overall success of these restoration projects remains challenging. Here, we aim to explore if vegetation spatial patterns can be used to monitor ecosystem recovery and anticipate the success of restoration practices. We combined field surveys and high-resolution drone images to analyze how vegetation spatial patterns change after the large-scale straw checkerboards restoration projects in the sand dune systems of the Tengger Desert in northern China. We found that vegetation cover, plant species richness, and diversity increased rapidly, approaching the level of the naturally vegetated sand dunes, after 5 years of restoration. Soil fertility remained low despite the positive vegetation change. Along with the recovery process, we found a larger diversity of patch sizes (i.e. spatial variance) with an increasing proportion of large-size patches. These patterns, combined with a constant positive recovery rate in vegetation cover, are consistent with theoretical predictions used to anticipate transitions to alternative ecosystem states. Although some indicators may be masked by the artificial planting scheme and community succession process during recovery, our results show that vegetation spatial patterns can be used to forecast and monitor the possible recovery of drylands.
英文关键词	alternative stable states arid ecosystems critical transition dune stabilization ecological restoration positive feedback
类型	Article
语种	英语
开放获取类型	hybrid
收录类别	SCI-E
WOS记录号	WOS:000837470300001
WOS关键词	ALTERNATIVE STABLE STATES ; EARLY-WARNING SIGNALS ; TENGGER DESERT ; CATASTROPHIC SHIFTS ; REGIME SHIFTS ; EL-NINO ; DESERTIFICATION ; INDICATOR ; ECOSYSTEMS ; FEEDBACKS
WOS类目	Ecology
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/2XILL650/398369
推荐引用方式 GB/T 7714	Qiu, Yanning,Xu, Zhiwei,Xu, Chi,et al. Can remotely sensed vegetation patterns signal dryland restoration success?[J],2023,31(3).
APA	Qiu, Yanning,Xu, Zhiwei,Xu, Chi,&Holmgren, Milena.(2023).Can remotely sensed vegetation patterns signal dryland restoration success?.RESTORATION ECOLOGY,31(3).
MLA	Qiu, Yanning,et al."Can remotely sensed vegetation patterns signal dryland restoration success?".RESTORATION ECOLOGY 31.3(2023).