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A method to detect discontinuities in census data
Citation
Barichievy, C and Angeler, DG and Eason, T and Garmestani, AS and Nash, KL and Stow, CA and Sundstrom, S and Allen, CR, A method to detect discontinuities in census data, Ecology and Evolution, 8, (19) pp. 9614-9623. ISSN 2045-7758 (2018) [Refereed Article]
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Copyright Statement
Copyright 2018 The Authors. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/
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 Details
| Item Type: | Refereed Article |
|---|---|
| Keywords: | discontinuity analysis, resilience, Gap Rarity Index, scale-specific pattern |
| Research Division: | Mathematical Sciences |
| Research Group: | Statistics |
| Research Field: | Biostatistics |
| Objective Division: | Environmental Management |
| Objective Group: | Management of Antarctic and Southern Ocean environments |
| Objective Field: | Assessment and management of Antarctic and Southern Ocean ecosystems |
| UTAS Author: | Nash, KL (Dr Kirsty Nash) |
| ID Code: | 129672 |
| Year Published: | 2018 |
| Web of Science® Times Cited: | 7 |
| Deposited By: | Ecology and Biodiversity |
| Deposited On: | 2018-12-12 |
| Last Modified: | 2019-02-19 |
| Downloads: | 82 View Download Statistics |
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