来自LiDAR的植被结构解释了丹麦各地当地鸟类的丰富性
Charles W Davison1, Jakob J Assmann2,3, Signe Normand2,4,5
1Center for Macroecology, Evolution and Climate, Globe Institute, University of Copenhagen, Copenhagen, Denmark.
The Journal of animal ecology
|June 3, 2023
概括
植被结构和息地可用性对于鸟类物种丰富性同样重要. 功能组对息地特征做出了个别反应,强调了将遥感和公民科学结合用于生物多样性研究的价值.
科学领域:
- 生态生态学 生态生态学
- 生物多样性研究的研究.
- 遥感应用 遥感应用
背景情况:
- 传统的生态研究强调了3D植被异质性在生物多样性中的作用.
- 测量大面积的植被结构在历史上是具有挑战性的.
- 大规模的研究往往忽视了当地植被异质性,偏好了息地指标.
研究的目的:
- 调查息地和植被异质性对鸟类物种丰富性和组成的相对重要性.
- 利用新获得的3D植被数据进行大规模分析.
- 检查鸟类功能组对环境因素的特征特异反应.
主要方法:
- 丹麦各地的志愿者使用标准化的鸟类点数计数.
- 综合性息地可用性从土地覆盖地图.
- 为了植被结构指标,利用了状LiDAR数据 (10米分辨率).
- 应用随机森林模型来分析物种丰富性和环境特征.
- 根据筑巢行为,息地偏好和生活方式对鸟类种类进行分组,以进行特征特定分析.
- 评估了息地和植被异质性对鸟类组合组成的影响.
主要成果:
- 植物结构和息地可用性在解释鸟类物种丰富模式方面具有同等重要性.
- 在物种丰富度和息地或植被异质性之间没有发现一致的积极关系.
- 鸟类的功能组对特定的息地特征表现出不同的反应.
- 息地可用性与鸟类组合组成模式的相关性最强.
结论:
- 立达和土地覆盖数据为生物多样性模式提供了互补的见解.
- 将遥感与公民科学计划相结合,是生物多样性研究的一个强有力的方法.
- 来自LiDAR调查的详细3D植被数据使植被异质性的大规模整合成为可能,从而进一步了解物种的物理.
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