Knowledge Resource Center for Ecological Environment in Arid Area
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
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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). |
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