用仅存在数据预测动物群体的空间扩张
Owain Barton1, John R Healey1, Line S Cordes2
1School of Natural Sciences Bangor University Bangor UK.
Ecology and evolution
|November 30, 2023
概括
一个新的混合模型使用仅存在数据和息地补丁大小来预测鹿的传播. 这种可访问的工具有助于野生动物管理和有针对性的监测工作.
科学领域:
- 生态和野生动物管理.
- 计算生物学 计算生物学
- 空间建模 空间建模
背景情况:
- 预测模型对于有效的野生动物管理至关重要,但往往受到数据限制的影响,降低了精度和生物现实性.
- 现有的复杂模型对于管理从业者来说可能难以评估和解释,这凸显了对可访问,强大的技术的需求.
研究的目的:
- 开发一种混合物种分布模型,用于预测大不列颠的鹿 (Capreolus capreolus) 的传播.
- 为野生动物管理者创建一个可访问的工具,利用常见的数据,简化复杂的生态过程.
主要方法:
- 开发了一种混合物物种分布模型,使用仅存在的分布数据和最小的人口信息.
- 通过将息地块大小与个人家庭范围区域联系起来,限制了环境的表现.
- 简化了人口动态,使用了补丁占用的通用规则.
主要成果:
- 成功预测鹿在英国的传播,预测殖民时间,并确定管理的关键领域.
- 证明了仅存在数据对于预测物种传播的有用性.
- 展示了一种减少模型复杂性的方法,同时保持环境细节和生物现实主义.
结论:
- 开发的混合模型提供了一个强大的和可解释的方法来预测使用有限数据的物种传播.
- 这种可访问的方法使得没有专业编码专业知识的用户能够为主动的人口管理和监视提供信息.
- 该研究验证了在预测性野生动物建模中使用简化生态规则和息地补丁约束的有效性.
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