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dc.contributor.authorCitores, L.
dc.contributor.authorIbaibarriaga, L.
dc.contributor.authorLee, D-J
dc.contributor.authorBrewer, M. J. and Santos, M.
dc.contributor.authorChust, G.
dc.date.accessioned2021-07-02T08:13:28Z-
dc.date.available2021-07-02T08:13:28Z-
dc.date.issued2020
dc.identifierISI:000515200900008
dc.identifier.issn0304-3800
dc.identifier.urihttp://dspace.azti.es/handle/24689/1154-
dc.description.abstractAccording to ecological niche theory, species response curves are unimodal with respect to environmental gradients. A variety of statistical methods have been developed for species distribution modelling. A general problem with most of these habitat modelling approaches is that the estimated response curves can display biologically implausible shapes which do not respect ecological niche theory. This work proposes using shape-constrained generalized additive models (SC-GAMs) to build species distribution models under the ecological niche theory framework, imposing concavity constraints in the linear predictor scale. Based on a simulation study and a real data application, we compared performance with respect to other regression models without shape-constraints (such as standard GLMs and GAMS with varying degrees of freedom) and also to models based on so-called ``Plateau�� climate-envelopes. The imposition of concavity for response curves resulted in a good balance between the goodness of fit (GOF) and agreement with ecological niche theory. The approach has been applied to fit distribution models for three fish species given several environmental variables.
dc.language.isoEnglish
dc.publisherELSEVIER
dc.subjectEcological niche theory
dc.subjectGAMS
dc.subjectGLMs
dc.subjectPlateau method
dc.subjectShape-constrained GAMS
dc.subjectSpecies distribution models
dc.subjectLOGISTIC-REGRESSION
dc.subjectSPATIAL PREDICTION
dc.subjectATLANTIC
dc.subjectDISTRIBUTIONS
dc.subjectPATTERNS
dc.subjectHABITAT
dc.subjectSPLINES
dc.subjectENVIRONMENT
dc.subjectVALIDATION
dc.subjectSARDINA
dc.titleModelling species presence-absence in the ecological niche theory framework using shape-constrained generalized additive models
dc.typeArticle
dc.identifier.journalECOLOGICAL MODELLING
dc.format.volume418
dc.contributor.funderAZTI
dc.contributor.funderBasque Government through the BERC 2018-2021 programBasque Government
dc.contributor.funderBasque Government through CLIPES projectBasque Government
dc.contributor.funderSpanish Ministry of Science, Innovation and Universities: SCAM Severo Ochoa [SEV-2017-0718]
dc.contributor.funderAEI/FEDER, UE [MTM2017-82379-R]
dc.contributor.funderScottish Government's Rural \& Environment Science \& Analytical Services Division
dc.contributor.funderEuropean CommissionEuropean CommissionEuropean Commission Joint Research Centre
dc.contributor.funderEUEuropean Commission [97-017]
dc.identifier.e-issn1872-7026
dc.identifier.doi10.1016/j.ecolmodel.2019.108926
Appears in Publication types:Artículos científicos



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