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利用相机陷阱和综合物种分布模型估算一种濒危树栖有袋动物的数量

Estimating the Abundance of an Endangered Arboreal Marsupial Using Camera Traps and an Integrated Species Distribution Model.

作者信息

Chang Yiyin, Lin Chieh, Hoskin Conrad J

机构信息

College of Science and Engineering James Cook University Townsville Australia.

出版信息

Ecol Evol. 2025 Sep 1;15(9):e72037. doi: 10.1002/ece3.72037. eCollection 2025 Sep.

Abstract

Estimates of abundance are fundamental for the management and conservation of threatened species. The Mahogany Glider () is an Endangered marsupial endemic to the Wet Tropics of northeastern Australia. Despite its status, there is no reliable estimate of abundance. In this study, we conducted camera trapping surveys for the species and employed a Bayesian integrated species distribution model to derive abundance estimates. Presence-absence data from camera trapping surveys and presence-only data from historical sighting records were included in the integrated species distribution model. The model estimated median abundance at 6036, 4834 and 2820 individuals for home range estimates of 9, 16 and 25 ha, respectively. We suggest using the more conservative abundance estimate of about 2800 individuals, based on the 25 ha home range, because it likely best summarizes density across the distribution. Using simulated data, we tested the effects of camera placement and subsampling, demonstrating that clustered camera arrangements and subsampling from aggregation did not significantly affect model outcomes, with predictions primarily dependent on home range estimates. Our survey results suggest considerable spatial variation in glider density across its range. The abundance estimates provide a baseline for future conservation initiatives and highlight the importance of ongoing monitoring and the application of advanced modeling techniques to inform species management.

摘要

数量估计对于濒危物种的管理和保护至关重要。桃花心木滑翔机(Petaurus gracilis)是澳大利亚东北部湿热带地区特有的濒危有袋动物。尽管其具有濒危地位,但目前尚无可靠的数量估计。在本研究中,我们对该物种进行了相机诱捕调查,并采用贝叶斯综合物种分布模型来得出数量估计。相机诱捕调查的存在-缺失数据以及历史目击记录的仅存在数据被纳入综合物种分布模型。该模型估计,对于9公顷、16公顷和25公顷的家域估计,中位数数量分别为6036只、4834只和2820只。我们建议基于25公顷的家域使用约2800只这一较为保守的数量估计,因为它可能最能概括整个分布区域的密度。通过模拟数据,我们测试了相机放置和二次抽样的影响,结果表明成簇的相机布置和从聚集区域进行二次抽样不会显著影响模型结果,预测主要取决于家域估计。我们的调查结果表明,滑翔机密度在其分布范围内存在相当大的空间差异。这些数量估计为未来的保护举措提供了基线,并突出了持续监测以及应用先进建模技术以指导物种管理的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fff/12401547/1768c4a1faf6/ECE3-15-e72037-g001.jpg

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