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Transferability of correlative and process‐based species distribution models revisited: A response to Booth
Here, we respond to Booth's criticism of our paper, “Predictive ability of a process‐based versus a correlative species distribution model.” Booth argues that our usage of the MaxEnt model was flawed and that the conclusions of our paper are by implication flawed. We respond by clarifying that...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8495818/ https://www.ncbi.nlm.nih.gov/pubmed/34646495 http://dx.doi.org/10.1002/ece3.8081 |
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author | Higgins, Steven I. Larcombe, Matthew J. Beeton, Nicholas J. Conradi, Timo |
author_facet | Higgins, Steven I. Larcombe, Matthew J. Beeton, Nicholas J. Conradi, Timo |
author_sort | Higgins, Steven I. |
collection | PubMed |
description | Here, we respond to Booth's criticism of our paper, “Predictive ability of a process‐based versus a correlative species distribution model.” Booth argues that our usage of the MaxEnt model was flawed and that the conclusions of our paper are by implication flawed. We respond by clarifying that the error Booth implies we made was not made in our analysis, and we repeat statements from the original manuscript which anticipated such criticisms. In addition, we illustrate that using BIOCLIM variables in a MaxEnt analysis as recommended by Booth does not change the conclusions of the original analysis. That is, high performance in the training data domain did not equate to reliable predictions in novel data domains, and the process model transferred into novel data domains better than the correlative model did. We conclude by discussing a hidden implication of our study, namely, that process‐based SDMs negate the need for BIOCLIM‐type variables and therefore reframe the variable selection problem in species distribution modeling. |
format | Online Article Text |
id | pubmed-8495818 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-84958182021-10-12 Transferability of correlative and process‐based species distribution models revisited: A response to Booth Higgins, Steven I. Larcombe, Matthew J. Beeton, Nicholas J. Conradi, Timo Ecol Evol Letters to the Editor Here, we respond to Booth's criticism of our paper, “Predictive ability of a process‐based versus a correlative species distribution model.” Booth argues that our usage of the MaxEnt model was flawed and that the conclusions of our paper are by implication flawed. We respond by clarifying that the error Booth implies we made was not made in our analysis, and we repeat statements from the original manuscript which anticipated such criticisms. In addition, we illustrate that using BIOCLIM variables in a MaxEnt analysis as recommended by Booth does not change the conclusions of the original analysis. That is, high performance in the training data domain did not equate to reliable predictions in novel data domains, and the process model transferred into novel data domains better than the correlative model did. We conclude by discussing a hidden implication of our study, namely, that process‐based SDMs negate the need for BIOCLIM‐type variables and therefore reframe the variable selection problem in species distribution modeling. John Wiley and Sons Inc. 2021-09-06 /pmc/articles/PMC8495818/ /pubmed/34646495 http://dx.doi.org/10.1002/ece3.8081 Text en © 2021 The Authors. Ecology and Evolution 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 | Letters to the Editor Higgins, Steven I. Larcombe, Matthew J. Beeton, Nicholas J. Conradi, Timo Transferability of correlative and process‐based species distribution models revisited: A response to Booth |
title | Transferability of correlative and process‐based species distribution models revisited: A response to Booth |
title_full | Transferability of correlative and process‐based species distribution models revisited: A response to Booth |
title_fullStr | Transferability of correlative and process‐based species distribution models revisited: A response to Booth |
title_full_unstemmed | Transferability of correlative and process‐based species distribution models revisited: A response to Booth |
title_short | Transferability of correlative and process‐based species distribution models revisited: A response to Booth |
title_sort | transferability of correlative and process‐based species distribution models revisited: a response to booth |
topic | Letters to the Editor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8495818/ https://www.ncbi.nlm.nih.gov/pubmed/34646495 http://dx.doi.org/10.1002/ece3.8081 |
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