使用卫星衍生的代理变量和物种分布模型绘制小型哺乳动物最佳息地的地图
Christopher Marston1, Francis Raoul2, Clare Rowland1
1UK Centre for Ecology and Hydrology, Lancaster, United Kingdom.
PloS one
|August 17, 2023
概括
小哺乳动物物种的分布和丰富性是由特定的景观变量驱动的,根据物种而异. 地球观测数据和随机森林模型揭示了最佳息条件,改善了对生态的理解.
科学领域:
- 生态生态学 生态生态学
- 遥感 遥感 遥感 遥感
- 生物多样性研究 生物多样性研究
背景情况:
- 小哺乳动物显著影响生态系统,影响植被,土壤和食物网.
- 小哺乳动物的种群周期可能导致农业影响和疾病传播.
研究的目的:
- 确定影响小哺乳动物分布和丰富性的关键景观变量.
- 开发特定物种的分布模型,以更好地描述息地.
主要方法:
- 利用9种小型哺乳动物物种的地球观测数据和现场调查.
- 为中国的纳拉蒂和吉尔吉斯斯坦的萨里莫古尔生成随机森林物种分布模型 (SDMs).
- 量化景观特征和影响物种生命周期的动态.
主要成果:
- 确定了特定物种的景观驱动因素,其重要性可变,范围从3到26个指标.
- 预计在草原 (例如Microtus obscurus),森林 (例如Myodes centralis) 和混合/沿海地区 (例如Apodemus uralensis) 的丰度更高.
- 随机森林模型取得了很高的验证 (R2 0.6700.939),识别了丰富的热点.
结论:
- 景观动态和息地类型对于小型哺乳动物的分布和丰富性至关重要.
- 特定物种的SDM提供了一个更准确的,物种定义的最佳息地视角.
- 地球观测数据有效地提高了对小型哺乳动物种群生态联系的理解.
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