Assessing Corvus frugilegus (Rook) habitat preferences through flock-size-specific species distribution modeling using citizen science data

IF 3.4 2区 环境科学与生态学 Q1 BIODIVERSITY CONSERVATION
Jiweon Yun , Seunghyeon Lee , Youngkeun Song
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引用次数: 0

Abstract

Urban environments face significant challenges due to the presence of large bird flocks, such as rooks (Corvus frugilegus), which contribute to sanitation issues and property damage. Using citizen science, we gathered extensive data on rook populations in Suwon, South Korea. Over two years, citizens submitted 17,923 photographs of rooks via a smartphone application, including the locations of sightings, enabling the collection of robust datasets without extensive training. Using the MaxENT model, we analyzed rook occurrences while differentiating by flock sizes—small (≤100 individuals), medium (101–1000 individuals), and large (>1000 individuals). All models demonstrated high reliability, with AUC values exceeding 0.80. Our analysis revealed that large flocks predominantly occupied urban areas near agricultural lands, with a marked preference for close proximity, while small and medium flocks exhibited a more dispersed distribution. Furthermore, we aimed to analyze how much the Species Distribution Modeling (SDM) run with number of rook observations regardless of the flock sizes either overestimated or underestimated rook occurrence probabilities, when compared to the models run separately for each flock size. Notably, models based on the number of rook observations regardless of flock size significantly underestimated the habitat suitability for large flocks, underscoring the importance of incorporating flock size into predictive modeling. These findings emphasize the need for size-specific management strategies and highlight the utility of citizen science as a scalable tool for urban wildlife management.
利用公民科学数据通过特定种群大小的物种分布模型评估白嘴鸦的栖息地偏好
由于白嘴鸦(Corvus frugilegus)等大型鸟类的存在,城市环境面临着重大挑战,它们造成了卫生问题和财产损失。利用公民科学,我们收集了韩国水原市白嘴鸦种群的大量数据。在两年多的时间里,市民通过智能手机应用程序提交了17,923张白嘴鸦的照片,包括目击地点,使收集强大的数据集无需大量培训。使用MaxENT模型,我们分析了白头鸦的发生情况,同时根据群体大小进行区分——小型(≤100只)、中型(101-1000只)和大型(>;1000只)。所有模型均具有较高的可靠性,AUC值均超过0.80。分析结果表明,大型鸡群主要分布在靠近农用地的城市区域,并有明显的近距离偏好,而中小型鸡群分布较为分散。此外,我们的目的是分析物种分布模型(SDM)与白嘴鸦观测数量的关系,无论白嘴鸦的出现概率是高估还是低估,与每个群体规模单独运行的模型相比。值得注意的是,基于白嘴鸦观察数量而不考虑群大小的模型显著低估了大群白嘴鸦的栖息地适宜性,强调了将群大小纳入预测模型的重要性。这些发现强调了对特定规模的管理策略的需求,并强调了公民科学作为城市野生动物管理的可扩展工具的效用。
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来源期刊
Global Ecology and Conservation
Global Ecology and Conservation Agricultural and Biological Sciences-Ecology, Evolution, Behavior and Systematics
CiteScore
8.10
自引率
5.00%
发文量
346
审稿时长
83 days
期刊介绍: Global Ecology and Conservation is a peer-reviewed, open-access journal covering all sub-disciplines of ecological and conservation science: from theory to practice, from molecules to ecosystems, from regional to global. The fields covered include: organismal, population, community, and ecosystem ecology; physiological, evolutionary, and behavioral ecology; and conservation science.
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