Global threat status, rarity, and species distribution affect prevalence of Atlantic Forest endemic birds in citizen-collected datasets.

Cambridge prisms. Extinction Pub Date : 2024-11-22 eCollection Date: 2024-01-01 DOI:10.1017/ext.2024.22
Lucas Rodriguez Forti, Ana Marta P R da Silva Passetti, Talita Oliveira, Juan Lima, Arthur Queiros, Maria Alice Dantas Ferreira Lopes, Judit K Szabo
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Abstract

The Atlantic Forest is one of the most threatened biomes globally. Data from monitoring programs are necessary to evaluate the conservation status of species, prioritise conservation actions and to evaluate the effectiveness of these actions. Birds are particularly well represented in citizen-collected datasets that are used worldwide in ecological and conservation studies. Here, we analyse presence-only data from three online citizen science datasets of Atlantic Forest endemic bird species to evaluate whether the representation of these species was correlated with their global threat status, range and estimated abundance. We conclude that even though species are over- and under-represented with regard to their presumed abundance, data collected by citizen scientists can be used to infer species distribution and, to a lesser degree, species abundance. This pattern holds true for species across global threat status.

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在公民收集的数据集中,全球威胁状况、稀有度和物种分布影响大西洋森林特有鸟类的流行。
大西洋森林是全球最受威胁的生物群落之一。监测项目的数据对于评估物种的保护状况、确定保护行动的优先顺序以及评估这些行动的有效性是必要的。在全球生态和保护研究中使用的公民收集的数据集中,鸟类的代表性特别好。在此,我们分析了来自三个在线公民科学数据集的大西洋森林特有鸟类的存在数据,以评估这些物种的代表性是否与它们的全球威胁状态、范围和估计丰度相关。我们的结论是,即使物种在其假定的丰度方面被过度或不足代表,公民科学家收集的数据也可以用来推断物种分布,并在较小程度上推断物种丰度。这种模式适用于全球濒危物种。
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