129672 - A method to detect discontinuities in census data.pdf (989.17 kB)
A method to detect discontinuities in census data
journal contribution
posted on 2023-05-19, 23:07 authored by Barichievy, C, Angeler, DG, Eason, T, Garmestani, AS, Kirsty NashKirsty Nash, Stow, CA, Sundstrom, S, Allen, CRThe 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.
History
Publication title
Ecology and EvolutionVolume
8Issue
19Pagination
9614-9623ISSN
2045-7758Department/School
Institute for Marine and Antarctic StudiesPublisher
Wiley-Blackwell Publishing Ltd.Place of publication
United KingdomRights statement
Copyright 2018 The Authors. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/Repository Status
- Open