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kuenm: an R package for detailed development of ecological niche models using Maxent
BACKGROUND: Ecological niche modeling is a set of analytical tools with applications in diverse disciplines, yet creating these models rigorously is now a challenging task. The calibration phase of these models is critical, but despite recent attempts at providing tools for performing this step, ade...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6368831/ https://www.ncbi.nlm.nih.gov/pubmed/30755826 http://dx.doi.org/10.7717/peerj.6281 |
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author | Cobos, Marlon E. Peterson, A. Townsend Barve, Narayani Osorio-Olvera, Luis |
author_facet | Cobos, Marlon E. Peterson, A. Townsend Barve, Narayani Osorio-Olvera, Luis |
author_sort | Cobos, Marlon E. |
collection | PubMed |
description | BACKGROUND: Ecological niche modeling is a set of analytical tools with applications in diverse disciplines, yet creating these models rigorously is now a challenging task. The calibration phase of these models is critical, but despite recent attempts at providing tools for performing this step, adequate detail is still missing. Here, we present the kuenm R package, a new set of tools for performing detailed development of ecological niche models using the platform Maxent in a reproducible way. RESULTS: This package takes advantage of the versatility of R and Maxent to enable detailed model calibration and selection, final model creation and evaluation, and extrapolation risk analysis. Best parameters for modeling are selected considering (1) statistical significance, (2) predictive power, and (3) model complexity. For final models, we enable multiple parameter sets and model transfers, making processing simpler. Users can also evaluate extrapolation risk in model transfers via mobility-oriented parity (MOP) metric. DISCUSSION: Use of this package allows robust processes of model calibration, facilitating creation of final models based on model significance, performance, and simplicity. Model transfers to multiple scenarios, also facilitated in this package, significantly reduce time invested in performing these tasks. Finally, efficient assessments of strict-extrapolation risks in model transfers via the MOP and MESS metrics help to prevent overinterpretation in model outcomes. |
format | Online Article Text |
id | pubmed-6368831 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-63688312019-02-12 kuenm: an R package for detailed development of ecological niche models using Maxent Cobos, Marlon E. Peterson, A. Townsend Barve, Narayani Osorio-Olvera, Luis PeerJ Biogeography BACKGROUND: Ecological niche modeling is a set of analytical tools with applications in diverse disciplines, yet creating these models rigorously is now a challenging task. The calibration phase of these models is critical, but despite recent attempts at providing tools for performing this step, adequate detail is still missing. Here, we present the kuenm R package, a new set of tools for performing detailed development of ecological niche models using the platform Maxent in a reproducible way. RESULTS: This package takes advantage of the versatility of R and Maxent to enable detailed model calibration and selection, final model creation and evaluation, and extrapolation risk analysis. Best parameters for modeling are selected considering (1) statistical significance, (2) predictive power, and (3) model complexity. For final models, we enable multiple parameter sets and model transfers, making processing simpler. Users can also evaluate extrapolation risk in model transfers via mobility-oriented parity (MOP) metric. DISCUSSION: Use of this package allows robust processes of model calibration, facilitating creation of final models based on model significance, performance, and simplicity. Model transfers to multiple scenarios, also facilitated in this package, significantly reduce time invested in performing these tasks. Finally, efficient assessments of strict-extrapolation risks in model transfers via the MOP and MESS metrics help to prevent overinterpretation in model outcomes. PeerJ Inc. 2019-02-06 /pmc/articles/PMC6368831/ /pubmed/30755826 http://dx.doi.org/10.7717/peerj.6281 Text en ©2019 Cobos et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Biogeography Cobos, Marlon E. Peterson, A. Townsend Barve, Narayani Osorio-Olvera, Luis kuenm: an R package for detailed development of ecological niche models using Maxent |
title | kuenm: an R package for detailed development of ecological niche models using Maxent |
title_full | kuenm: an R package for detailed development of ecological niche models using Maxent |
title_fullStr | kuenm: an R package for detailed development of ecological niche models using Maxent |
title_full_unstemmed | kuenm: an R package for detailed development of ecological niche models using Maxent |
title_short | kuenm: an R package for detailed development of ecological niche models using Maxent |
title_sort | kuenm: an r package for detailed development of ecological niche models using maxent |
topic | Biogeography |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6368831/ https://www.ncbi.nlm.nih.gov/pubmed/30755826 http://dx.doi.org/10.7717/peerj.6281 |
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