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Brent R Barry¹, Joseph D Holbrook², Jody C Vogeler³

¹Department of Environmental Science, University of Idaho, Moscow, Idaho, USA.

Ecological applications : a publication of the Ecological Society of America

|October 15, 2024

概括

全球生态系统动态调查 (GEDI) 数据融合有助于估计小哺乳动物密度,将森林结构与飞和松鼠种群联系起来. 这种新的方法有助于野生动物人口统计和保护工作.

科学领域:

生态生态学生态生态学
遥感遥感遥感遥感
野生动物生物学野生动物生物学

背景情况:

传统的遥感方法缺乏准确的野生动物息地评估所需的3D植被细节.
全球生态系统动态调查 (GEDI) 提供高分辨率的3D植被数据,但其应用于野生动物人口统计的应用尚未得到充分探索.

研究的目的:

评估GEDI数据融合在描述野生动物人口参数方面的有用性.
评估GEDI衍生森林结构与小型哺乳动物的密度和生存之间的关联.

主要方法:

使用GEDI融合森林结构数据集与捕获-标记-重新捕获数据相结合.
雇佣了Huggins强大的设计模型来估计Humboldt的飞和Townsend的松鼠的明显年生存率和密度.
在分析中纳入了诸如高度之类的时空因素.

主要成果:

小哺乳动物密度 (飞和) 与GEDI衍生的森林结构有显著的关联,特别是不同层的树叶高度多样性和植物面积体积密度.
显而易见的年生存率显示,飞与GEDI衍生的森林结构的关联很弱,而对没有关联.
为两种物种生成空间显式密度地图,展示保护的实际应用.

结论:

GEDI数据融合为评估野生动物人口统计和预测物种密度提供了一种新且有效的方法.
森林结构,以GEDI为特征,在解释小型哺乳动物人口学的方面发挥着重要作用.
这种方法增强了远程探测在野生动物管理和保护政策中的应用.

关键词:

吉迪 (GEDI) 是一个人.这种植物是Glaucomys oregonensis.李达尔 (LiDAR) 是一种激光雷达.尼奥塔米亚的城镇和城市.它们的密度是密度密度.叶片高度多样性叶片高度多样性森林结构森林结构完全的波形波形.植物面积体积密度植物面积体积密度幸存率幸存率生存率

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