Forest understory complexity is important for many species, from large herbivores such as deer to small mammals such as mice and voles. For species that utilize the forest understory on a very small scale, it is often impractical to conduct correspondingly fine-grained manual surveys of the understory, and thus few studies consider this small-scale variation in understory complexity and instead work with average values on a larger scale. We explored the use of a mobile laser scanning derived understory complexity measure—understory roughness—to predict the capture probability of two representative small mammal species, the yellow-necked mouse (Apodemus flavicollis) and the bank vole (Clethrionomys glareolus). We found a positive relationship between capture probability and understory roughness for both bank voles and yellow-necked mice. Our results suggest that mobile laser scanning is a promising technology for measuring understory complexity in an ecologically meaningful way.

中文翻译：

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使用移动激光扫描衍生指标将小型哺乳动物捕获概率与林下结构复杂性联系起来：案例研究

森林林下复杂性对许多物种都很重要，从鹿等大型食草动物到老鼠和田鼠等小型哺乳动物。对于小规模利用森林林下植被的物种来说，对林下植被进行相应的细粒度人工调查通常是不切实际的，因此很少有研究考虑林下植被复杂性的这种小规模变化，而是使用平均值规模更大。我们探索使用移动激光扫描衍生的林下复杂性测量（林下粗糙度）来预测两种代表性小型哺乳动物物种黄颈鼠（Apodemus flavicollis）和银行田鼠（Clethrionomys glareolus）的捕获概率。我们发现岸田鼠和黄颈鼠的捕获概率与林下粗糙度之间存在正相关关系。我们的结果表明，移动激光扫描是一种有前途的技术，可以以具有生态意义的方式测量林下复杂性。