Arid
DOI10.1098/rspa.2015.0893
Assessing the robustness of spatial pattern sequences in a dryland vegetation model
Gowda, Karna1; Chen, Yuxin1; Iams, Sarah2; Silber, Mary3
通讯作者Silber, Mary
来源期刊PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
ISSN1364-5021
EISSN1471-2946
出版年2016
卷号472期号:2187
英文摘要

A particular sequence of patterns, ’gaps -> labyrinth -> spots’, occurs with decreasing precipitation in previously reported numerical simulations of partial differential equation dryland vegetation models. These observations have led to the suggestion that this sequence of patterns can serve as an early indicator of desertification in some ecosystems. Because parameter values in the vegetation models can take on a range of plausible values, it is important to investigate whether the pattern sequence prediction is robust to variation. For a particular model, we find that a quantity calculated via bifurcation-theoretic analysis appears to serve as a proxy for the pattern sequences that occur in numerical simulations across a range of parameter values. We find in further analysis that the quantity takes on values consistent with the standard sequence in an ecologically relevant limit of the model parameter values. This suggests that the standard sequence is a robust prediction of the model, and we conclude by proposing a methodology for assessing the robustness of the standard sequence in other models and formulations.


英文关键词desertification dryland ecosystems early-warning signs models of vegetation pattern formation pattern formation
类型Article
语种英语
国家USA
收录类别SCI-E
WOS记录号WOS:000377720500025
WOS关键词SELF-ORGANIZATION ; REGIME SHIFTS ; ECOSYSTEMS ; STRIPES
WOS类目Multidisciplinary Sciences
WOS研究方向Science & Technology - Other Topics
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/195748
作者单位1.Northwestern Univ, Dept Engn Sci & Appl Math, Evanston, IL 60208 USA;
2.Harvard Univ, Paulson Sch Engn & Appl Sci, Cambridge, MA 02138 USA;
3.Univ Chicago, Dept Stat, Chicago, IL 60637 USA
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Gowda, Karna,Chen, Yuxin,Iams, Sarah,et al. Assessing the robustness of spatial pattern sequences in a dryland vegetation model[J],2016,472(2187).
APA Gowda, Karna,Chen, Yuxin,Iams, Sarah,&Silber, Mary.(2016).Assessing the robustness of spatial pattern sequences in a dryland vegetation model.PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES,472(2187).
MLA Gowda, Karna,et al."Assessing the robustness of spatial pattern sequences in a dryland vegetation model".PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES 472.2187(2016).
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