University of Tasmania
Browse
129672 - A method to detect discontinuities in census data.pdf (989.17 kB)

A method to detect discontinuities in census data

Download (989.17 kB)
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, CR
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.

History

Publication title

Ecology and Evolution

Volume

8

Issue

19

Pagination

9614-9623

ISSN

2045-7758

Department/School

Institute for Marine and Antarctic Studies

Publisher

Wiley-Blackwell Publishing Ltd.

Place of publication

United Kingdom

Rights 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

Socio-economic Objectives

Assessment and management of Antarctic and Southern Ocean ecosystems; Terrestrial biodiversity

Usage metrics

    University Of Tasmania

    Categories

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC