Arid
DOI10.1111/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
ISSN1354-1013
EISSN1365-2486
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).
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