当足够了就足够了:优化监测工作的大规模狼群大小估计在意大利阿尔卑斯山
M V Boiani1, P Dupont2, R Bischof2
1Department of Biological Sciences Conservation Biology Research Group, University of Chester Chester UK.
Ecology and evolution
|August 22, 2024
概括
优化狼的监测可以节省资源,而不会影响人口估计. 减少搜索力度,比如减少截面或重复,可以保持Canis lupus的精确丰度数据.
科学领域:
- 野生动物生态生态学
- 保护生物学 保护生物学
- 人口遗传学 人口遗传学
背景情况:
- 欧洲狼 (Canis lupus) 种群正在扩大,因此越来越需要准确的丰度数据.
- 非侵入性基因采样 (NGS) 对于狼的监测至关重要,但资源密集.
- 优化采样策略对于狼监测计划的可持续性至关重要.
研究的目的:
- 调查减少采样工作对狼的空间捕获-再捕获 (SCR) 种群规模估计的影响.
- 确定成本有效的战略,以优化狼的监测计划.
主要方法:
- 利用了2020-2021年意大利阿尔卑斯山狼监测的数据.
- 评估了减少基因型样本,截面和搜索重复对SCR估计的影响.
- 采用了一个建模框架,包含了第一个调查数据集.
主要成果:
- 截面的25%减少或重复的50%减少产生了可比的丰度估计.
- 这些减少显著减少了截面的总长度和搜索的距离.
- 进一步减少截面导致估计较低和不那么精确;减少基因型样本增加了估计和精度下降.
结论:
- 狼群监测可以通过减少搜索力度,同时保持丰富度估计质量来优化.
- 使用初始调查数据的建模框架有助于优化抽样.
- 提供了在大型野生动物监测中优化SCR采样的指导方针.
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