息地网络模型对最大分散距离变化的敏感性
Damian O Ortiz-Rodríguez1,2,3,4, Antoine Guisan4,5, Maarten J Van Strien1
1Planning of Landscape and Urban Systems (PLUS), Institute for Spatial and Landscape Planning, ETH Zürich, Zürich, Switzerland.
PloS one
|November 6, 2023
概括
保护物种的网络模型对分散距离假设敏感. 使用比通常报告的更高的分散距离可以提高模型的准确性,并强调长距离分散在预测物种发生中的重要性.
科学领域:
- 生态生态学 生态生态学
- 保护生物学 保护生物学
- 空间建模 空间建模
背景情况:
- 准确的物种发生预测对于保护工作至关重要.
- 使用息地补丁和分散的网络模型用于此预测.
- 估计物种的最大分散距离是具有挑战性的,因为现场观测中的低估值.
研究的目的:
- 评估网络模型对变化的最大分散距离值的敏感性.
- 评估不同分散距离如何影响物种发生模型中的预测性能和变量重要性.
- 为保护网络建模提供选择适当的分散距离值的建议.
主要方法:
- 息地适宜性建模在瑞士确定了六种两动物的息地.
- 生息地网络是通过基于分散距离值连接斑块来构建的.
- 增强回归树被用来预测物种发生状态,使用网络拓,补丁适用性和各种分散距离的补丁大小.
主要成果:
- 模型预测性能与日益增长的分散距离值正相关.
- 来自文献的特定物种分散距离很少提供最佳模型性能.
- 较高的分散距离增加了网络拓预测因素对息地质量变量的重要性.
结论:
- 种类发生网络模型对所选择的分散距离参数高度敏感.
- 报告的最大分散距离往往被低估,可能是由于长距离分散事件.
- 保护网络模型应该考虑比现场报告更高的分散距离值,以更好地考虑远距离分散器.
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