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代表气候导致的西澳大利亚西南部关键蜜蜂觅食物种空间分布变化的数据。

Data representing climate-induced changes in the spatial distribution of key bee forage species for southwest Western Australia.

作者信息

Patel Vidushi, Boruff Bryan, Biggs Eloise, Pauli Natasha

机构信息

UWA School of Agriculture and Environment, The University of Western Australia, 35 Stirling Highway, Crawley 6009, Western Australia, Australia.

Cooperative Research Center for Honey Bee Products, The University of Western Australia, 35 Stirling Highway, Agriculture North M085, Crawley 6009, Western Australia, Australia.

出版信息

Data Brief. 2022 Nov 25;46:108783. doi: 10.1016/j.dib.2022.108783. eCollection 2023 Feb.

DOI:10.1016/j.dib.2022.108783
PMID:36506799
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9730158/
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.

摘要

该数据集包括

(i)物种出现点;(ii)西澳大利亚州(WA)西南部30种主要蜜蜂觅食物种在当前条件和中等排放(代表性浓度路径6.0)气候情景下的物种分布模型(SDM)输出结果。出现数据来自开放数据源,并通过利益相关者参与过程获得。使用最大熵算法预测SDM输出结果,并使用QGIS软件分析物种范围的变化。模型输出结果有助于深入了解气候变化对西澳大利亚州西南部重要蜜蜂觅食物种的潜在影响,包括主要的产蜜树木和灌木物种。这些物种的变化可能会对存在促进关系的生态和社会系统产生影响。该数据集对于为澳大利亚西南部生物多样性热点地区的保护工作提供信息非常重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b4f/9730158/a6a5ab590032/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b4f/9730158/a88a9d3ccb10/ga1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b4f/9730158/a6a5ab590032/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b4f/9730158/a88a9d3ccb10/ga1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b4f/9730158/a6a5ab590032/gr1.jpg

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本文引用的文献

1
Herbarium data: Global biodiversity and societal botanical needs for novel research.植物标本馆数据:全球生物多样性与新型研究的社会植物学需求。
Appl Plant Sci. 2018 Feb 28;6(2):e1024. doi: 10.1002/aps3.1024. eCollection 2018 Feb.
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Bias correction in species distribution models: pooling survey and collection data for multiple species.物种分布模型中的偏差校正:整合多个物种的调查和收集数据
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