Using multiplatform LiDAR to identify relationships between vegetation structure and the abundance and diversity of woodland reptiles and amphibians

IF 3.9 2区 环境科学与生态学 Q1 ECOLOGY Remote Sensing in Ecology and Conservation Pub Date : 2024-01-03 DOI:10.1002/rse2.381
Shukhrat Shokirov, Tommaso Jucker, Shaun R. Levick, Adrian D. Manning, Kara N. Youngentob
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Abstract

Remotely sensed measures of vegetation structure have been shown to explain patterns in the occurrence and diversity of several animal taxa, including birds, mammals, and invertebrates. However, very little research in this area has focused on reptiles and amphibians (herpetofauna). Moreover, most remote sensing studies on animal–habitat associations have relied on airborne or satellite data that provide coverage over relatively large areas but may not have the resolution or viewing angle necessary to measure vegetation features at scales that are meaningful to herpetofauna. Here, we combined terrestrial laser scanning (TLS), unmanned aerial vehicle laser scanning (ULS), and fused (FLS) data to provide the first test of whether vegetation structural attributes can help explain variation in herpetofauna abundance, species richness, and diversity across a woodland landscape. We identified relationships between the abundance and diversity of herpetofauna and several vegetation metrics, including canopy height, skewedness, vertical complexity, volume of vegetation, and coarse woody debris. These relationships varied across species, groups, and sensors. ULS models tended to perform as well or better than TLS or FLS models based on the methods we used in this study. In open woodland landscapes, ULS data may have some benefits over TLS data for modeling relationships between herpetofauna and vegetation structure, which we discuss. However, for some species, only TLS data identified significant predictor variables among the LiDAR-derived structural metrics. While the overall predictive power of models was relatively low (i.e., at most R2 = 0.32 for ULS overall abundance and R2 = 0.32 for abundance at the individual species level [three-toed skink (Chalcides striatus)]), the ability to identify relationships between specific LiDAR structural metrics and the abundance and diversity of herpetofauna could be useful for understanding their habitat associations and managing reptile and amphibian populations.

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利用多平台激光雷达确定植被结构与林地爬行动物和两栖动物的数量和多样性之间的关系
对植被结构的遥感测量已被证明可以解释多个动物类群的出现和多样性模式,包括鸟类、哺乳动物和无脊椎动物。然而,这方面的研究很少关注爬行动物和两栖动物(爬行动物群)。此外,大多数关于动物与栖息地关系的遥感研究都依赖于机载或卫星数据,这些数据可覆盖相对较大的区域,但可能不具备必要的分辨率或视角,无法测量对爬行动物有意义的植被特征。在这里,我们结合了陆地激光扫描(TLS)、无人机激光扫描(ULS)和融合(FLS)数据,首次检验了植被结构属性是否有助于解释林地景观中爬行动物丰度、物种丰富度和多样性的变化。我们确定了爬行动物的丰度和多样性与几种植被指标之间的关系,包括树冠高度、倾斜度、垂直复杂性、植被体积和粗木屑。这些关系因物种、类群和传感器而异。根据我们在本研究中使用的方法,ULS 模型的性能往往与 TLS 或 FLS 模型相当或更好。在开阔的林地景观中,ULS 数据可能比 TLS 数据更有利于建立爬行动物与植被结构之间的关系模型,我们将对此进行讨论。然而,对于某些物种而言,只有 TLS 数据才能在激光雷达衍生的结构指标中识别出重要的预测变量。虽然模型的总体预测能力相对较低(即 ULS 总体丰度的 R2 最多为 0.32,单个物种水平 [三趾石龙子(Chalcides striatus)] 的丰度的 R2 最多为 0.32),但确定特定 LiDAR 结构指标与爬行动物丰度和多样性之间关系的能力可能有助于了解它们的栖息地关联以及管理爬行动物和两栖动物种群。
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来源期刊
Remote Sensing in Ecology and Conservation
Remote Sensing in Ecology and Conservation Earth and Planetary Sciences-Computers in Earth Sciences
CiteScore
9.80
自引率
5.50%
发文量
69
审稿时长
18 weeks
期刊介绍: emote Sensing in Ecology and Conservation provides a forum for rapid, peer-reviewed publication of novel, multidisciplinary research at the interface between remote sensing science and ecology and conservation. The journal prioritizes findings that advance the scientific basis of ecology and conservation, promoting the development of remote-sensing based methods relevant to the management of land use and biological systems at all levels, from populations and species to ecosystems and biomes. The journal defines remote sensing in its broadest sense, including data acquisition by hand-held and fixed ground-based sensors, such as camera traps and acoustic recorders, and sensors on airplanes and satellites. The intended journal’s audience includes ecologists, conservation scientists, policy makers, managers of terrestrial and aquatic systems, remote sensing scientists, and students. Remote Sensing in Ecology and Conservation is a fully open access journal from Wiley and the Zoological Society of London. Remote sensing has enormous potential as to provide information on the state of, and pressures on, biological diversity and ecosystem services, at multiple spatial and temporal scales. This new publication provides a forum for multidisciplinary research in remote sensing science, ecological research and conservation science.
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