Using water-landing, fixed-wing UAVs and computer vision to assess seabird nutrient subsidy effects on sharks and rays

IF 3.9 2区 环境科学与生态学 Q1 ECOLOGY
Melissa Schiele, J. Marcus Rowcliffe, Ben Clark, Paul Lepper, Tom B. Letessier
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引用次数: 0

Abstract

Bird colonies on islands sustain elevated productivity and biomass on adjacent reefs, through nutrient subsidies. However, the implications of this localized enhancement on higher and often more mobile trophic levels (such as sharks and rays) are unclear, as spatial trends in mobile fauna are often poorly captured by traditional underwater visual surveys. Here, we explore whether the presence of seabird colonies is associated with enhanced abundances of sharks and rays on adjacent coral reefs. We used a novel long-range water-landing fixed-wing unoccupied aerial vehicle (UAV) to survey the distribution and density of sharks, rays and any additional megafauna, on and around tropical coral islands (n = 14) in the Chagos Archipelago Marine Protected Area. We developed a computer-vision algorithm to distinguish greenery (trees and shrubs), sand and sea glitter from visible ocean to yield accurate marine megafauna density estimation. We detected elevated seabird densities over rat-free islands, with the commonest species, sooty tern, reaching densities of 932 ± 199 per km−2 while none were observed over former coconut plantation islands. Elasmobranch density around rat-free islands with seabird colonies was 6.7 times higher than around islands without seabird colonies (1.3 ± 0.63 vs. 0.2 ± SE 0.1 per km2). Our results are evidence that shark and ray distribution is sensitive to natural and localized nutrient subsidies. Correcting for non-sampled regions of images increased estimated elasmobranch density by 14%, and our openly accessible computer vision algorithm makes this correction easy to implement to generate shark and ray and other wildlife densities from any aerial imagery. The water-landing fixed-wing long-range UAV technology used in this study may provide cost effective monitoring opportunities in remote ocean locations.

Abstract Image

利用水上降落固定翼无人机和计算机视觉评估海鸟营养补贴对鲨鱼和鳐鱼的影响
岛屿上的鸟类群落通过提供营养补贴,提高了邻近珊瑚礁的生产力和生物量。然而,由于传统的水下目测往往不能很好地捕捉到移动动物的空间趋势,因此这种局部性的提高对更高、通常更机动的营养级(如鲨鱼和鳐鱼)的影响尚不清楚。在此,我们探讨了海鸟群的存在是否与邻近珊瑚礁上鲨鱼和鳐鱼数量的增加有关。我们使用了一种新型长距离水上降落固定翼无人飞行器(UAV)来调查查戈斯群岛海洋保护区热带珊瑚岛(n = 14)及其周围的鲨鱼、鳐鱼和其他巨型动物的分布和密度。我们开发了一种计算机视觉算法,从可见海洋中分辨出绿色植物(树木和灌木)、沙子和海面绒毛,从而准确估算出海洋巨型动物的密度。我们发现无鼠岛的海鸟密度较高,最常见的物种燕鸥的密度达到每平方公里 932 ± 199 只,而在前椰子种植园岛屿上则没有观察到任何海鸟。有海鸟栖息地的无鼠岛屿周围的箭鱼密度是无海鸟栖息地岛屿周围的 6.7 倍(1.3 ± 0.63 vs. 0.2 ± SE 0.1 per km2)。我们的研究结果证明,鲨鱼和鳐鱼的分布对自然和局部的营养补贴很敏感。对图像中的非采样区域进行校正后,估计的鞘鳃类密度增加了 14%,我们公开的计算机视觉算法使这种校正很容易实现,可以从任何航空图像中生成鲨鱼和鳐鱼以及其他野生动物的密度。本研究中使用的水上降落固定翼长航时无人机技术可为偏远海洋地区提供经济有效的监测机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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