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Non‐linear models of species' responses to environmental and spatial gradients
Species' responses to broad‐scale environmental or spatial gradients are typically unimodal. Current models of species' responses along gradients tend to be overly simplistic (e.g., linear, quadratic or Gaussian GLMs), or are suitably flexible (e.g., splines, GAMs) but lack direct ecologic...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9828393/ https://www.ncbi.nlm.nih.gov/pubmed/36269686 http://dx.doi.org/10.1111/ele.14121 |
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author | Anderson, Marti J. Walsh, Daniel C. I. Sweatman, Winston L. Punnett, Andrew J. |
author_facet | Anderson, Marti J. Walsh, Daniel C. I. Sweatman, Winston L. Punnett, Andrew J. |
author_sort | Anderson, Marti J. |
collection | PubMed |
description | Species' responses to broad‐scale environmental or spatial gradients are typically unimodal. Current models of species' responses along gradients tend to be overly simplistic (e.g., linear, quadratic or Gaussian GLMs), or are suitably flexible (e.g., splines, GAMs) but lack direct ecologically interpretable parameters. We describe a parametric framework for species‐environment non‐linear modelling (‘senlm’). The framework has two components: (i) a non‐linear parametric mathematical function to model the mean species response along a gradient that allows asymmetry, flattening/peakedness or bimodality; and (ii) a statistical error distribution tailored for ecological data types, allowing intrinsic mean–variance relationships and zero‐inflation. We demonstrate the utility of this model framework, highlighting the flexibility of a range of possible mean functions and a broad range of potential error distributions, in analyses of fish species' abundances along a depth gradient, and how they change over time and at different latitudes. |
format | Online Article Text |
id | pubmed-9828393 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98283932023-01-10 Non‐linear models of species' responses to environmental and spatial gradients Anderson, Marti J. Walsh, Daniel C. I. Sweatman, Winston L. Punnett, Andrew J. Ecol Lett Methods Species' responses to broad‐scale environmental or spatial gradients are typically unimodal. Current models of species' responses along gradients tend to be overly simplistic (e.g., linear, quadratic or Gaussian GLMs), or are suitably flexible (e.g., splines, GAMs) but lack direct ecologically interpretable parameters. We describe a parametric framework for species‐environment non‐linear modelling (‘senlm’). The framework has two components: (i) a non‐linear parametric mathematical function to model the mean species response along a gradient that allows asymmetry, flattening/peakedness or bimodality; and (ii) a statistical error distribution tailored for ecological data types, allowing intrinsic mean–variance relationships and zero‐inflation. We demonstrate the utility of this model framework, highlighting the flexibility of a range of possible mean functions and a broad range of potential error distributions, in analyses of fish species' abundances along a depth gradient, and how they change over time and at different latitudes. John Wiley and Sons Inc. 2022-10-21 2022-12 /pmc/articles/PMC9828393/ /pubmed/36269686 http://dx.doi.org/10.1111/ele.14121 Text en © 2022 The Authors. Ecology Letters published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methods Anderson, Marti J. Walsh, Daniel C. I. Sweatman, Winston L. Punnett, Andrew J. Non‐linear models of species' responses to environmental and spatial gradients |
title | Non‐linear models of species' responses to environmental and spatial gradients |
title_full | Non‐linear models of species' responses to environmental and spatial gradients |
title_fullStr | Non‐linear models of species' responses to environmental and spatial gradients |
title_full_unstemmed | Non‐linear models of species' responses to environmental and spatial gradients |
title_short | Non‐linear models of species' responses to environmental and spatial gradients |
title_sort | non‐linear models of species' responses to environmental and spatial gradients |
topic | Methods |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9828393/ https://www.ncbi.nlm.nih.gov/pubmed/36269686 http://dx.doi.org/10.1111/ele.14121 |
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