Non-linear models of species' responses to environmental and spatial gradients

dc.citation.issue12
dc.citation.volume25
dc.contributor.authorAnderson MJ
dc.contributor.authorWalsh DCI
dc.contributor.authorSweatman WL
dc.contributor.authorPunnett AJ
dc.coverage.spatialEngland
dc.date.accessioned2023-12-15T01:27:32Z
dc.date.accessioned2024-07-25T06:32:50Z
dc.date.available2022-10-21
dc.date.available2023-12-15T01:27:32Z
dc.date.available2024-07-25T06:32:50Z
dc.date.issued2022-12
dc.description.abstractSpecies' responses to broad-scale environmental or spatial gradients are typically unimodal. Current models of species' responses along gradients tend to be overly simplistic (e.g., linear, quadratic or Gaussian GLMs), or are suitably flexible (e.g., splines, GAMs) but lack direct ecologically interpretable parameters. We describe a parametric framework for species-environment non-linear modelling (‘senlm’). The framework has two components: (i) a non-linear parametric mathematical function to model the mean species response along a gradient that allows asymmetry, flattening/peakedness or bimodality; and (ii) a statistical error distribution tailored for ecological data types, allowing intrinsic mean–variance relationships and zero-inflation. We demonstrate the utility of this model framework, highlighting the flexibility of a range of possible mean functions and a broad range of potential error distributions, in analyses of fish species' abundances along a depth gradient, and how they change over time and at different latitudes.
dc.format.pagination2739-2752
dc.identifier.author-urlhttps://www.ncbi.nlm.nih.gov/pubmed/36269686
dc.identifier.citationAnderson MJ, Walsh DCI, Sweatman WL, Punnett AJ. (2022). Non-linear models of species' responses to environmental and spatial gradients.. Ecol Lett. 25. 12. (pp. 2739-2752).
dc.identifier.doi10.1111/ele.14121
dc.identifier.eissn1461-0248
dc.identifier.elements-typejournal-article
dc.identifier.issn1461-023X
dc.identifier.urihttps://mro.massey.ac.nz/handle/10179/70388
dc.languageeng
dc.publisherJohn Wiley and Sons Ltd
dc.relation.isPartOfEcol Lett
dc.rights(c) 2022 The Author/s
dc.rightsCC BY 4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectabundance
dc.subjectbiomass
dc.subjectcounts
dc.subjectcover
dc.subjectecological statistics
dc.subjectenvironmental variables
dc.subjectgradient analysis
dc.subjectlatitude
dc.subjectspecies distribution models
dc.subjectzero-inflation
dc.subjectAnimals
dc.subjectNonlinear Dynamics
dc.subjectEnvironment
dc.subjectSpatial Analysis
dc.subjectFishes
dc.titleNon-linear models of species' responses to environmental and spatial gradients
dc.typeJournal article
pubs.elements-id457485
pubs.organisational-groupOther
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