Literature DB >> 27118924

Assessing the robustness of spatial pattern sequences in a dryland vegetation model.

Karna Gowda1, Yuxin Chen1, Sarah Iams2, Mary Silber3.   

Abstract

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.

Keywords:  desertification; dryland ecosystems; early-warning signs; models of vegetation pattern formation; pattern formation

Year:  2016        PMID: 27118924      PMCID: PMC4841491          DOI: 10.1098/rspa.2015.0893

Source DB:  PubMed          Journal:  Proc Math Phys Eng Sci        ISSN: 1364-5021            Impact factor:   2.704


  16 in total

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9.  Transitions between patterned states in vegetation models for semiarid ecosystems.

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