Tracking Wintertime Behaviour of Emperor Penguins Using High‐Resolution Synthetic Aperture Radar Imagery

IF 5.2 2区 环境科学与生态学 Q1 ECOLOGY
Michelle LaRue, Daniel Price, Sarah Wiki‐Bennett, Charles K. Lee, B. Jack Pan, Kyle McCloud, Heather Cruickshank, Alex Ponniah, Daniel Zitterbart, Alexander Winterl, Céline Le Bohec, Rose Foster‐Dyer, Peter Fretwell
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Abstract

Gaining insight into population changes of species in remote areas of the world poses challenges, often resulting in opportunistic observations (convenience sampling) that limit scientific inference. Remote sensing resources, typically high‐resolution optical imagery, have revolutionised population ecology especially in polar regions like Antarctica and now many species have been censused. However, estimates based on remote sensing often remain limited to convenience sampling, rather than allowing observation at times of year that provide more information about the breeding population. Here we introduce a proof of concept using high‐resolution synthetic aperture radar (SAR) imagery to detect, enumerate and track behaviours of emperor penguins during the Antarctic winter. Using 25–30 cm Umbra SAR imagery, we gathered images at six colonies of emperor penguins during winter 2024 to determine phenology, to gain insight to the breeding population and advance a new method for breeding population observations. We found that emperor penguins are identifiable on fast ice and that SAR‐based observations match concurrent field observations (at Atka Bay). Total huddle area correlated with average colony size at emperor penguin colonies, and we found that larger colonies tended to use more space on the fast ice than smaller colonies. We demonstrate that the breeding population of emperor penguins during winter can be estimated using a combination of SAR imagery with phenological‐behavioural models. Given that models suggest emperor penguins may be quasi‐extinct before 2100, our work provides an important next step in understanding the approximate size and phenology of the breeding population, information that would be required for conservation of the species and for area‐based conservation such as evaluation of the Ross Sea Marine Protected Area (MPA), where ~33% of emperor penguins exist.
利用高分辨率合成孔径雷达图像追踪帝企鹅的冬季行为
对世界偏远地区物种种群变化的深入了解带来了挑战,往往导致机会主义观察(方便抽样),限制了科学推断。遥感资源,通常是高分辨率光学图像,已经彻底改变了种群生态学,特别是在南极等极地地区,现在许多物种已经被普查。然而,基于遥感的估计往往仍然局限于方便的抽样,而不允许在一年中的某些时候进行观察,从而提供有关繁殖种群的更多信息。在这里,我们介绍了一个使用高分辨率合成孔径雷达(SAR)图像来探测、枚举和跟踪南极冬季帝企鹅行为的概念验证。利用25-30 cm的本影SAR图像,对2024年冬季6个帝企鹅种群进行物候分析,以了解帝企鹅的繁殖种群,并提出了一种新的繁殖种群观测方法。我们发现帝企鹅在快速冰面上是可识别的,并且基于SAR的观测结果与同时进行的野外观测结果(在Atka湾)相匹配。在帝企鹅群体中,总聚集面积与平均群体规模相关,我们发现,较大的群体往往比较小的群体在快冰上使用更多的空间。我们证明,可以使用SAR图像和物候行为模型相结合来估计冬季帝企鹅的繁殖种群。鉴于模型显示帝企鹅可能在2100年之前濒临灭绝,我们的工作为了解繁殖种群的大致规模和物候提供了重要的下一步,这些信息将为物种保护和基于区域的保护提供必要的信息,例如罗斯海海洋保护区(MPA)的评估,其中约有33%的帝企鹅存在。
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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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