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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34R/3SG8QEB
Repositóriosid.inpe.br/mtc-m21c/2019/01.04.12.15   (acesso restrito)
Última Atualização2019:01.04.12.15.09 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21c/2019/01.04.12.15.09
Última Atualização dos Metadados2019:01.14.17.06.43 (UTC) administrator
DOI10.1002/ece3.4649
ISSN2045-7758
Chave de CitaçãoNgSilRimAtzImm:2018:TuKe
TítuloEnsemble approach for potential habitat mapping of invasive Prosopis spp. in Turkana, Kenya
Ano2018
Data de Acesso16 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho1115 KiB
2. Contextualização
Autor1 Ng, Wai Tim
2 Silva, Alexsandro Cândido de Oliveira
3 Rima, Purity
4 Atzberger, Clement
5 Immitzer, Markus
ORCID1 0000-0002-6926-1546
2
3
4 0000-0003-2169-8009
5 0000-0001-6758-1207
Grupo1
2 DIDPI-CGOBT-INPE-MCTIC-GOV-BR
Afiliação1 University of Natural Resources and Life Sciences (BOKU)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Kenya Forestry Research Institute (KEFRI)
4 University of Natural Resources and Life Sciences (BOKU)
5 University of Natural Resources and Life Sciences (BOKU)
Endereço de e-Mail do Autor1 tim.ng@boku.ac.at
2 alexsandro.silva@inpe.br
RevistaEcology and Evolution
Volume8
Número23
Histórico (UTC)2019-01-04 12:15:40 :: simone -> administrator :: 2018
2019-01-14 17:06:43 :: administrator -> simone :: 2018
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-Chaveensemble modeling
expert knowledge
invasive alien species
Prosopis
species distribution modeling
ResumoAim: Prosopis spp. are an invasive alien plant species native to the Americas and well adapted to thrive in arid environments. In Kenya, several remote‐sensing studies conclude that the genus is well established throughout the country and is rapidly in ‐vading new areas. This research aims to model the potential habitat of Prosopis spp.by using an ensemble model consisting of four species distribution models. Furthermore, environmental and expert knowledge‐based variables are assessed.Location: Turkana County, Kenya.Methods: We collected and assessed a large number of environmental and expert knowl‐edge‐based variables through variable correlation, collinearity, and bias tests. The varia‐bles were used for an ensemble model consisting of four species distribution models: (a) logistic regression, (b) maximum entropy, (c) random forest, and (d) Bayesian networks. The models were evaluated through a block cross‐validation providing statistical measures.Results: The best predictors for Prosopis spp. habitat are distance from water and built‐up areas, soil type, elevation, lithology, and temperature seasonality. All species distribution models achieved high accuracies while the ensemble model achieved the highest scores. Highly and moderately suitable Prosopis spp. habitat covers 6% and 9% of the study area, respectively.Main conclusions: Both ensemble and individual models predict a high risk of continuedinvasion, confirming local observations and conceptions. Findings are valuable to stake‐holders for managing invaded area, protecting areas at risk, and to raise awareness.
ÁreaSRE
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4. Condições de acesso e uso
Idiomaen
Arquivo Alvong_ensemble.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3EQCCU5
Lista de Itens Citandosid.inpe.br/bibdigital/2013/09.09.15.05 4
DivulgaçãoWEBSCI; PORTALCAPES; SCOPUS.
Acervo Hospedeirourlib.net/www/2017/11.22.19.04
6. Notas
Campos Vaziosalternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository month nextedition notes pages parameterlist parentrepositories previousedition previouslowerunit progress project resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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