Mathematical contributions to link biota with environment
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | , , , , |
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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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 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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 instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799136661721841664 |