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A method to detect discontinuities in census data

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Barichievy, C, Angeler, DG, Eason, T, Garmestani, AS, Nash, KL ORCID: 0000-0003-0976-3197, Stow, CA, Sundstrom, S and Allen, CR 2018 , 'A method to detect discontinuities in census data' , Ecology and Evolution, vol. 8, no. 19 , pp. 9614-9623 , doi: 10.1002/ece3.4297.

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Abstract

The distribution of pattern across scales has predictive power in the analysis of complex systems. Discontinuity approaches remain a fruitful avenue of research in the quest for quantitative measures of resilience because discontinuity analysis provides an objective means of identifying scales in complex systems and facilitates delineation of hierarchical patterns in processes, structure, and resources. However, current discontinuity methods have been considered too subjective, too complicated and opaque, or have become computationally obsolete; given the ubiquity of discontinuities in ecological and other complex systems, a simple and transparent method for detection is needed. In this study, we present a method to detect discontinuities in census data based on resampling of a neutral model and provide the R code used to run the analyses. This method has the potential for advancing basic and applied ecological research.

Item Type: Article
Authors/Creators:Barichievy, C and Angeler, DG and Eason, T and Garmestani, AS and Nash, KL and Stow, CA and Sundstrom, S and Allen, CR
Keywords: discontinuity analysis, resilience, Gap Rarity Index, scale-specific pattern
Journal or Publication Title: Ecology and Evolution
Publisher: Wiley-Blackwell Publishing Ltd.
ISSN: 2045-7758
DOI / ID Number: 10.1002/ece3.4297
Copyright Information:

Copyright 2018 The Authors. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/

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