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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...

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Autores principales: Cobos, Marlon E., Peterson, A. Townsend, Barve, Narayani, Osorio-Olvera, Luis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2019
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.
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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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