对景观的选择:动物运动的机制 规模到景观 空间使用模式的空间使用模式
Will Rogers1, Scott Yanco1,2,3, Walter Jetz1,2
1Department of Ecology & Evolutionary Biology, Yale University, New Haven, Connecticut, USA.
Ecology letters
|December 22, 2025
概括
一个新的稳定状态分布 (SSD) 框架通过整合息地选择和移动来预测动物的空间使用. SSD准确地预测了从个人到人口规模的分布,优于其他模型.
科学领域:
- 生态生态学 生态生态学
- 保护生物学 保护生物学
- 空间生态学空间生态学
背景情况:
- 了解动物的空间使用对于生态和保护至关重要.
- 基于移动的息地选择模型是关键工具,但景观异质性和移动约束使预测复杂化.
- 将个体运动扩展到景观分布仍然是一个挑战.
研究的目的:
- 提出一种新的稳定状态分布 (SSD) 框架,用于预测新出现的动物空间使用.
- 将息地选择和移动限制整合到一个可扩展的建模方法中.
- 将SSD的性能与传统的基于事件和基于代理的模型进行比较.
主要方法:
- 开发了一个稳态分布 (SSD) 框架,使用稀疏的马科夫转换矩阵.
- 综合本地估计的息地选择和移动参数.
- 通过模拟和经验案例研究验证了框架.
主要成果:
- 在跨度尺度的空间使用预测中,SSD框架始终优于基于事件的模型.
- 固态硬盘显示出更高的效率和与基于代理的模型 (ABM) 相同或更高的准确性.
- 这种方法有效地将机械运动模型与空间预测联系起来.
结论:
- 稳态分布 (SSD) 框架为预测动物空间使用提供了一个可扩展和计算效率高的方法.
- 这种方法将个人运动行为转化为景观规模分布模式.
- SSD为在异质景观中的生态推断和保护规划提供了有价值的工具.
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