Drones reveal spatial patterning of sympatric Alaskan pinniped species and drivers of their local distributions

Gregory D. Larsen, A. Seymour, E. Richmond, Lauren M. Divine, E. E. Moreland, Everette Newton, J. M. London, D. Johnston
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引用次数: 2

Abstract

The Arctic and its adjacent ecosystems are undergoing rapid ecological reorganization in response to the effects of global climate change, and sentinel species provide critical updates as these changes unfold. This study leverages emerging remote sensing techniques to reveal fine-scale drivers of distribution and terrestrial habitat use of two sympatric sentinel species of the central Bering Sea, the Pacific harbor seal (Phoca vitulina richardsi) and the northern fur seal (Callorhinus ursinus), at non-breeding haul-outs in the Pribilof Islands. We surveyed these species using unoccupied aircraft systems with thermal and visible-light photography, and we applied distributional modeling techniques to quantify the relative influence of habitat characteristics and social dynamics on the local distributions of these species. Drone imagery yielded locations and population counts of each species, and spatial data products allowed quantitative characterization of occupied sites, revealing that conspecific attraction is a driver of local site selection for both species, and Pacific harbor seals and northern fur seals are differentially limited by terrain characteristics. These findings represent new applications of species distribution modeling at local scales, made possible by ultra-high resolution drone surveillance and photogrammetric techniques, which add new spatial context to past observations and future scenarios in this changing ecosystem.
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无人机揭示了阿拉斯加同域鳍状物种的空间格局和它们在当地分布的驱动因素
为应对全球气候变化的影响,北极及其周边生态系统正在经历快速的生态重组,哨兵物种在这些变化中提供了关键的更新。本研究利用新兴的遥感技术,揭示了白令海中部两种同域前哨物种——太平洋斑海豹(Phoca vitulina richardsi)和北方毛海豹(Callorhinus ursinus)在Pribilof群岛非繁殖期的分布和陆地栖息地使用的精细驱动因素。利用热成像和可见光摄影对这些物种进行了调查,并应用分布建模技术量化了生境特征和社会动态对这些物种局部分布的相对影响。无人机图像提供了每个物种的位置和种群数量,空间数据产品允许对占据的地点进行定量表征,揭示了同种吸引力是两种物种选择当地地点的驱动因素,太平洋斑海豹和北方毛海豹受到地形特征的不同限制。这些发现代表了物种分布建模在局部尺度上的新应用,通过超高分辨率无人机监视和摄影测量技术成为可能,为这个不断变化的生态系统的过去观察和未来情景增加了新的空间背景。
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