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Data representing climate-induced changes in the spatial distribution of key bee forage species for southwest Western Australia.
Patel, Vidushi; Boruff, Bryan; Biggs, Eloise; Pauli, Natasha.
Afiliação
  • Patel V; UWA School of Agriculture and Environment, The University of Western Australia, 35 Stirling Highway, Crawley 6009, Western Australia, Australia.
  • Boruff B; Cooperative Research Center for Honey Bee Products, The University of Western Australia, 35 Stirling Highway, Agriculture North M085, Crawley 6009, Western Australia, Australia.
  • Biggs E; UWA School of Agriculture and Environment, The University of Western Australia, 35 Stirling Highway, Crawley 6009, Western Australia, Australia.
  • Pauli N; Cooperative Research Center for Honey Bee Products, The University of Western Australia, 35 Stirling Highway, Agriculture North M085, Crawley 6009, Western Australia, Australia.
Data Brief ; 46: 108783, 2023 Feb.
Article em En | MEDLINE | ID: mdl-36506799
ABSTRACT
The dataset includes (i) species occurrence points, and (ii) Species Distribution Model (SDM) outputs under current conditions and a moderate emission (RCP 6.0) climate scenario, for 30 key bee forage species in southwest Western Australia (WA). Occurrence data were obtained from open data sources and through stakeholder engagement processes. SDM outputs were predicted using the Maxent algorithm with the change in species range analysed using QGIS software. The model outputs provide insight into the potential implications of climate change on important bee forage species in southwest WA, including dominant melliferous tree and shrub species. Changes in these species are likely to have repercussions to the ecological and social systems where a facilitatory relationship exists. This dataset is important for informing conservation efforts within the southwest Australian biodiversity hotspot.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Data Brief Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Data Brief Ano de publicação: 2023 Tipo de documento: Article