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dc.contributor.authorCobos, Marlon E.
dc.contributor.authorPeterson, A. Townsend
dc.contributor.authorBarve, Narayani
dc.contributor.authorOsorio-Olvera, Luis
dc.date.accessioned2020-11-24T22:43:03Z
dc.date.available2020-11-24T22:43:03Z
dc.date.issued2019-02-06
dc.identifier.citationCobos, M. E., Peterson, A. T., Barve, N., & Osorio-Olvera, L. (2019). kuenm: an R package for detailed development of ecological niche models using Maxent. PeerJ, 7, e6281. https://doi.org/10.7717/peerj.6281en_US
dc.identifier.urihttp://hdl.handle.net/1808/30923
dc.descriptionThis work is licensed under a Creative Commons Attribution 4.0 International License.en_US
dc.description.abstractBackground 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.
en_US
dc.description.sponsorshipPAPIIT UNAM IN116018en_US
dc.description.sponsorshipCONACyT-FORDECyT 273646en_US
dc.publisherPeerJen_US
dc.rights© 2019 Cobos et al.en_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.subjectExtrapolation risksen_US
dc.subjectModel calibrationen_US
dc.subjectModel projectionsen_US
dc.subjectModel selectionen_US
dc.subjectSpecies distribution modelsen_US
dc.titleKuenm: An R package for detailed development of ecological niche models using Maxenten_US
dc.typeArticleen_US
kusw.kuauthorCobos, Marlon E.
kusw.kuauthorPeterson, A. Townsend
kusw.kuauthorBarve, Narayani
kusw.kuauthorOsorio-Olvera, Luis
kusw.kudepartmentBiodiversity Instituteen_US
kusw.kudepartmentEcology and Evolutionary Biologyen_US
dc.identifier.doi10.7717/peerj.6281en_US
kusw.oaversionScholarly/refereed, publisher versionen_US
kusw.oapolicyThis item meets KU Open Access policy criteria.en_US
dc.identifier.pmidPMC6368831en_US
dc.rights.accessrightsopenAccessen_US


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© 2019 Cobos et al.
Except where otherwise noted, this item's license is described as: © 2019 Cobos et al.