Mathematical contributions to link biota with environment

Detalhes bibliográficos
Autor(a) principal: Cerdeira, Jorge O.
Data de Publicação: 2014
Outros Autores: Monteiro-Henriques, Tiago, Martins, Maria J., Silva, Pedro C., Alagador, Diogo, Franco, Aldina M.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10174/27994
https://doi.org/10.1111/jvs.12188
Resumo: Hutchinson's pioneering work on the niche concept, dating from 1957, inspired the development of many ecological models. The first proposals, BIOCLIM and HABITAT , were simple geometric approximations to the shape of the niche. Despite their simplicity, they combine two features that make them adequate for the purpose of exploring the niche: they fit a predefined shape to the empirical data; and produce binary or ordinal predictions rather than continuous predictions. Thus, both explicitly delineate a precise boundary for the niche. However, the two methods present some limitations: BIOCLIM assumes that the variables are independent in their action on the species; and HABITAT , although not having that limitation, only delineates the boundaries of the niches without distinguishing levels of suitability for the species. We propose, discuss and illustrate: (1) the use of depth functions to identify regions with distinct suitability inside the niche; and (2) a general framework to assess overlap of the niches of two species, which can be applied to predictions from models that decompose the niche into a finite number of measurable regions.
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spelling Mathematical contributions to link biota with environmentBioclimCombinatoricsConvex HullData depthhabitatNicheOverlapSuitability modellingHutchinson's pioneering work on the niche concept, dating from 1957, inspired the development of many ecological models. The first proposals, BIOCLIM and HABITAT , were simple geometric approximations to the shape of the niche. Despite their simplicity, they combine two features that make them adequate for the purpose of exploring the niche: they fit a predefined shape to the empirical data; and produce binary or ordinal predictions rather than continuous predictions. Thus, both explicitly delineate a precise boundary for the niche. However, the two methods present some limitations: BIOCLIM assumes that the variables are independent in their action on the species; and HABITAT , although not having that limitation, only delineates the boundaries of the niches without distinguishing levels of suitability for the species. We propose, discuss and illustrate: (1) the use of depth functions to identify regions with distinct suitability inside the niche; and (2) a general framework to assess overlap of the niches of two species, which can be applied to predictions from models that decompose the niche into a finite number of measurable regions.Journal of Vegetation Science2020-08-10T14:34:30Z2020-08-102014-04-25T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/27994http://hdl.handle.net/10174/27994https://doi.org/10.1111/jvs.12188enghttps://onlinelibrary.wiley.com/doi/epdf/10.1111/jvs.12188ndndndndalagador@uevora.ptnd221Cerdeira, Jorge O.Monteiro-Henriques, TiagoMartins, Maria J.Silva, Pedro C.Alagador, DiogoFranco, Aldina M.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-03T19:23:54Zoai:dspace.uevora.pt:10174/27994Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:17:56.989750Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Mathematical contributions to link biota with environment
title Mathematical contributions to link biota with environment
spellingShingle Mathematical contributions to link biota with environment
Cerdeira, Jorge O.
Bioclim
Combinatorics
Convex Hull
Data depth
habitat
Niche
Overlap
Suitability modelling
title_short Mathematical contributions to link biota with environment
title_full Mathematical contributions to link biota with environment
title_fullStr Mathematical contributions to link biota with environment
title_full_unstemmed Mathematical contributions to link biota with environment
title_sort Mathematical contributions to link biota with environment
author Cerdeira, Jorge O.
author_facet Cerdeira, Jorge O.
Monteiro-Henriques, Tiago
Martins, Maria J.
Silva, Pedro C.
Alagador, Diogo
Franco, Aldina M.
author_role author
author2 Monteiro-Henriques, Tiago
Martins, Maria J.
Silva, Pedro C.
Alagador, Diogo
Franco, Aldina M.
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Cerdeira, Jorge O.
Monteiro-Henriques, Tiago
Martins, Maria J.
Silva, Pedro C.
Alagador, Diogo
Franco, Aldina M.
dc.subject.por.fl_str_mv Bioclim
Combinatorics
Convex Hull
Data depth
habitat
Niche
Overlap
Suitability modelling
topic Bioclim
Combinatorics
Convex Hull
Data depth
habitat
Niche
Overlap
Suitability modelling
description Hutchinson's pioneering work on the niche concept, dating from 1957, inspired the development of many ecological models. The first proposals, BIOCLIM and HABITAT , were simple geometric approximations to the shape of the niche. Despite their simplicity, they combine two features that make them adequate for the purpose of exploring the niche: they fit a predefined shape to the empirical data; and produce binary or ordinal predictions rather than continuous predictions. Thus, both explicitly delineate a precise boundary for the niche. However, the two methods present some limitations: BIOCLIM assumes that the variables are independent in their action on the species; and HABITAT , although not having that limitation, only delineates the boundaries of the niches without distinguishing levels of suitability for the species. We propose, discuss and illustrate: (1) the use of depth functions to identify regions with distinct suitability inside the niche; and (2) a general framework to assess overlap of the niches of two species, which can be applied to predictions from models that decompose the niche into a finite number of measurable regions.
publishDate 2014
dc.date.none.fl_str_mv 2014-04-25T00:00:00Z
2020-08-10T14:34:30Z
2020-08-10
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10174/27994
http://hdl.handle.net/10174/27994
https://doi.org/10.1111/jvs.12188
url http://hdl.handle.net/10174/27994
https://doi.org/10.1111/jvs.12188
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://onlinelibrary.wiley.com/doi/epdf/10.1111/jvs.12188
nd
nd
nd
nd
alagador@uevora.pt
nd
221
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dc.publisher.none.fl_str_mv Journal of Vegetation Science
publisher.none.fl_str_mv Journal of Vegetation Science
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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