捕获-重新捕获调查中的有限混合物用于模拟海洋野生动物群体的居住模式
Gianmarco Caruso1,2, Pierfrancesco Alaimo Di Loro3, Marco Mingione4
1MRC Biostatistics Unit, University of Cambridge, Cambridge, UK.
Biometrical journal. Biometrische Zeitschrift
|January 29, 2024
概括
预先了解动物种群结构可以从捕获-重新捕获数据中提高丰度估计. 这项研究使用新的贝叶斯模型改进了普通鼻海豚 (Tursiops truncatus) 种群规模和结构分析.
科学领域:
- 生态生态学 生态生态学
- 野生动物群体的动态.
- 统计生态学 统计生态学
背景情况:
- 准确的动物种群丰度估计对于保护至关重要.
- 捕获-重新捕获方法被广泛使用,但可能受到人口异质性的限制.
- 先前的结构信息可以改进丰度估计.
研究的目的:
- 开发一个统计框架,将先前的人口结构知识纳入丰富度估计.
- 为了增强开放的Jolly-Seber模型,使用对异质群体的有限混合物.
- 为了特别定制这种方法用于常见的瓶鼻海豚居住模式.
主要方法:
- 将开放的Jolly-Seber模型与有限混合模型相结合.
- 采用贝叶斯推理框架,经过仔细的先前选择.
- 解决了混合物模型固有的标签切换和不可识别问题.
- 进行模拟实验以验证拟议的方法.
主要成果:
- 拟议的节有限混合模型显著提高了丰度估计的准确性.
- 在不太具体的建模方法上表现出竞争优势.
- 将该方法应用于提伯河河口的普通海豚群体.
- 提供了对人口规模,结构和生态动态的新见解.
结论:
- 整合人口结构的先前知识可以提高捕获-重新捕获研究中的丰度估计.
- 开发的贝叶斯有限混合模型为分析异质野生动物种群提供了强大的工具.
- 这种方法为像普通海豚这样的物种提供了宝贵的生态洞察力.
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