A Cellular Automata Model of Spatio-Temporal Distribution of Species

Detalhes bibliográficos
Autor(a) principal: Bioco, João
Data de Publicação: 2019
Outros Autores: Silva, João, Canovas, Fernando, Fazendeiro, Paulo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.6/8232
Resumo: Cellular automata (CA) are discrete models frequently used in ecological and epidemiological studies due to the capacity to simulate dynamics systems and analyze their behavior. One of the applications of CA in ecology is in the analysis of the spatial distribution of species, where models are created and simulated in order to study the response of ecological systems to different kinds of exogenous or endogenous perturbations. In this study we describe an implementation of a cellular automaton model able to incorporate environmental data collected from different heterogeneous sources. To the user is given the power to produce and analyze different scenarios by combining the available variables at will. Different hypothesis regarding the individual contribution of each environmental variable can be promptly tested. As an illustrative example of the flexibility of our implementation we present a case study where, departing from a general additive model (GAM), validated in the literature, a possible explanation is given for the spatio-temporal distribution of two haplotypes of honeybees along Iberian Peninsula. Environmental data were used to describe every 30x30 second unit grid of the study area (World Geodetic System 1984 WGS84, geographical coordinates). The results of our model are compared and discussed at the light of the real data collected on the terrain. Curiously enough, both in the synthesized model and in the real data, one can observe that the frequency of African haplotypes decreases in a SW-NE trend, while that of west European lineage increases.
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spelling A Cellular Automata Model of Spatio-Temporal Distribution of SpeciesEnvironmental modelingCellular automataModeling toolsSpecies distribution modelsCellular automata (CA) are discrete models frequently used in ecological and epidemiological studies due to the capacity to simulate dynamics systems and analyze their behavior. One of the applications of CA in ecology is in the analysis of the spatial distribution of species, where models are created and simulated in order to study the response of ecological systems to different kinds of exogenous or endogenous perturbations. In this study we describe an implementation of a cellular automaton model able to incorporate environmental data collected from different heterogeneous sources. To the user is given the power to produce and analyze different scenarios by combining the available variables at will. Different hypothesis regarding the individual contribution of each environmental variable can be promptly tested. As an illustrative example of the flexibility of our implementation we present a case study where, departing from a general additive model (GAM), validated in the literature, a possible explanation is given for the spatio-temporal distribution of two haplotypes of honeybees along Iberian Peninsula. Environmental data were used to describe every 30x30 second unit grid of the study area (World Geodetic System 1984 WGS84, geographical coordinates). The results of our model are compared and discussed at the light of the real data collected on the terrain. Curiously enough, both in the synthesized model and in the real data, one can observe that the frequency of African haplotypes decreases in a SW-NE trend, while that of west European lineage increases.uBibliorumBioco, JoãoSilva, JoãoCanovas, FernandoFazendeiro, Paulo2020-01-10T17:33:35Z20192019-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.6/8232eng10.1007/978-3-030-11881-5_11metadata only accessinfo: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:RCAAP2023-12-15T09:48:01Zoai:ubibliorum.ubi.pt:10400.6/8232Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:48:35.350563Repositório 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 A Cellular Automata Model of Spatio-Temporal Distribution of Species
title A Cellular Automata Model of Spatio-Temporal Distribution of Species
spellingShingle A Cellular Automata Model of Spatio-Temporal Distribution of Species
Bioco, João
Environmental modeling
Cellular automata
Modeling tools
Species distribution models
title_short A Cellular Automata Model of Spatio-Temporal Distribution of Species
title_full A Cellular Automata Model of Spatio-Temporal Distribution of Species
title_fullStr A Cellular Automata Model of Spatio-Temporal Distribution of Species
title_full_unstemmed A Cellular Automata Model of Spatio-Temporal Distribution of Species
title_sort A Cellular Automata Model of Spatio-Temporal Distribution of Species
author Bioco, João
author_facet Bioco, João
Silva, João
Canovas, Fernando
Fazendeiro, Paulo
author_role author
author2 Silva, João
Canovas, Fernando
Fazendeiro, Paulo
author2_role author
author
author
dc.contributor.none.fl_str_mv uBibliorum
dc.contributor.author.fl_str_mv Bioco, João
Silva, João
Canovas, Fernando
Fazendeiro, Paulo
dc.subject.por.fl_str_mv Environmental modeling
Cellular automata
Modeling tools
Species distribution models
topic Environmental modeling
Cellular automata
Modeling tools
Species distribution models
description Cellular automata (CA) are discrete models frequently used in ecological and epidemiological studies due to the capacity to simulate dynamics systems and analyze their behavior. One of the applications of CA in ecology is in the analysis of the spatial distribution of species, where models are created and simulated in order to study the response of ecological systems to different kinds of exogenous or endogenous perturbations. In this study we describe an implementation of a cellular automaton model able to incorporate environmental data collected from different heterogeneous sources. To the user is given the power to produce and analyze different scenarios by combining the available variables at will. Different hypothesis regarding the individual contribution of each environmental variable can be promptly tested. As an illustrative example of the flexibility of our implementation we present a case study where, departing from a general additive model (GAM), validated in the literature, a possible explanation is given for the spatio-temporal distribution of two haplotypes of honeybees along Iberian Peninsula. Environmental data were used to describe every 30x30 second unit grid of the study area (World Geodetic System 1984 WGS84, geographical coordinates). The results of our model are compared and discussed at the light of the real data collected on the terrain. Curiously enough, both in the synthesized model and in the real data, one can observe that the frequency of African haplotypes decreases in a SW-NE trend, while that of west European lineage increases.
publishDate 2019
dc.date.none.fl_str_mv 2019
2019-01-01T00:00:00Z
2020-01-10T17:33:35Z
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