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Updated: Jul 1, 2025

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在温带森林中使用堆叠物种分布模型评估哺乳动物物种的分布和丰富性
1Space and Environment Laboratory, Chungnam Institute, 73-26 Institute Road, Gongju 32589, Republic of Korea.
Animals : an open access journal from MDPI
|March 13, 2024
概括
韩国南地区的哺乳动物物种丰富程度受环境和人为因素的影响,而不是生物气候变量. 堆叠物种分布模型 (SSDM) 有助于野生动物息地管理,特别是对于特有物种.
科学领域:
- 生态与保护生物学 生态与保护生物学
- 生物多样性评估评估
- 空间建模 空间建模
背景情况:
- 了解影响哺乳动物物种丰富性的因素对于有效的保护至关重要.
- 之前的研究已经探索了生物多样性的各种环境和人为驱动因素.
- 在评估物种丰富性时应用堆叠物种分布模型 (SSDM) 需要进一步研究.
研究的目的:
- 调查哺乳动物物种丰富与韩国南省环境,人为和生物气候因素之间的关联.
- 评估堆叠物种分布模型 (SSDM) 方法对预测物种丰富性和为野生动物息地管理提供信息的有用性.
主要方法:
- 使用来自1357个哺乳动物采样点的数据构建堆叠物种分布模型 (SSDM).
- 在模型中包括森林,地理,人为和生物气候变量.
- 分析变量重要性和物种丰富性和特有性之间的相关性.
主要成果:
- 环境因素,如距离森林边缘的距离,海拔,斜率,人口密度和距离水道的距离是哺乳动物物种丰富的关键预测因素.
- 与环境和人为因素相比,生物气候变量对物种丰富性的影响较小.
- 观察到特有性和物种丰富性之间存在强烈的相关性,这突显了特有物种在生物多样性模式中的重要性.
结论:
- 这种SSDM方法为哺乳动物物种丰富的驱动因素提供了有价值的见解.
- 在塑造研究区域物种丰富方面,环境和人为因素比生物气候变量发挥更重要的作用.
- 研究结果支持使用SSDM进行有效的野生动物息地管理,特别是在物种丰富和特有性高的地区.
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