干旱区生态环境知识资源中心(Arid): Quantitatively monitoring the resilience of patterned vegetation in the Sahel

Arid

DOI	10.1111/gcb.15939
	Quantitatively monitoring the resilience of patterned vegetation in the Sahel
	Buxton, Joshua E.; Abrams, Jesse F.; Boulton, Chris A.; Barlow, Nick; Smith, Camila Rangel; Van Stroud, Samuel; Lees, Kirsten J.; Lenton, Timothy M.
通讯作者	Buxton, JE (corresponding author), Univ Exeter, Global Syst Inst, Exeter EX4 4QE, Devon, England.
来源期刊	GLOBAL CHANGE BIOLOGY
ISSN	1354-1013
EISSN	1365-2486
出版年	2022
英文摘要	Patterning of vegetation in drylands is a consequence of localized feedback mechanisms. Such feedbacks also determine ecosystem resilience-i.e. the ability to recover from perturbation. Hence, the patterning of vegetation has been hypothesized to be an indicator of resilience, that is, spots are less resilient than labyrinths. Previous studies have made this qualitative link and used models to quantitatively explore it, but few have quantitatively analysed available data to test the hypothesis. Here we provide methods for quantitatively monitoring the resilience of patterned vegetation, applied to 40 sites in the Sahel (a mix of previously identified and new ones). We show that an existing quantification of vegetation patterns in terms of a feature vector metric can effectively distinguish gaps, labyrinths, spots, and a novel category of spot-labyrinths at their maximum extent, whereas NDVI does not. The feature vector pattern metric correlates with mean precipitation. We then explored two approaches to measuring resilience. First we treated the rainy season as a perturbation and examined the subsequent rate of decay of patterns and NDVI as possible measures of resilience. This showed faster decay rates-conventionally interpreted as greater resilience-associated with wetter, more vegetated sites. Second we detrended the seasonal cycle and examined temporal autocorrelation and variance of the residuals as possible measures of resilience. Autocorrelation and variance of our pattern metric increase with declining mean precipitation, consistent with loss of resilience. Thus, drier sites appear less resilient, but we find no significant correlation between the mean or maximum value of the pattern metric (and associated morphological pattern types) and either of our measures of resilience.
英文关键词	Africa drylands patterned vegetation resilience Sahel
类型	Article
语种	英语
开放获取类型	Green Published, hybrid
收录类别	SCI-E
WOS记录号	WOS:000711871100001
WOS关键词	TIGER BUSH ; CATASTROPHIC SHIFTS ; AFRICAN SAHEL ; SLOWING-DOWN ; CLIMATE ; DESERTIFICATION ; RECOVERY ; DROUGHT
WOS类目	Biodiversity Conservation ; Ecology ; Environmental Sciences
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology
来源机构	University of London
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/367593
作者单位	[Buxton, Joshua E.; Abrams, Jesse F.; Boulton, Chris A.; Lees, Kirsten J.; Lenton, Timothy M.] Univ Exeter, Global Syst Inst, Exeter EX4 4QE, Devon, England; [Abrams, Jesse F.] Univ Exeter, Inst Data Sci & Artificial Intelligence, Exeter, Devon, England; [Barlow, Nick; Smith, Camila Rangel; Van Stroud, Samuel] Alan Turing Inst, London, England; [Van Stroud, Samuel] UCL, Dept Phys & Astron, London, England
推荐引用方式 GB/T 7714	Buxton, Joshua E.,Abrams, Jesse F.,Boulton, Chris A.,et al. Quantitatively monitoring the resilience of patterned vegetation in the Sahel[J]. University of London,2022.
APA	Buxton, Joshua E..,Abrams, Jesse F..,Boulton, Chris A..,Barlow, Nick.,Smith, Camila Rangel.,...&Lenton, Timothy M..(2022).Quantitatively monitoring the resilience of patterned vegetation in the Sahel.GLOBAL CHANGE BIOLOGY.
MLA	Buxton, Joshua E.,et al."Quantitatively monitoring the resilience of patterned vegetation in the Sahel".GLOBAL CHANGE BIOLOGY (2022).