Quantifying nocturnal thrush migration using sensor data fusion between acoustics and vertical‐looking radar

IF 3.9 2区环境科学与生态学 Q1 ECOLOGY

Remote Sensing in Ecology and Conservation Pub Date : 2024-06-20 DOI:10.1002/rse2.397

Silvia Giuntini, Juha Saari, Adriano Martinoli, Damiano G. Preatoni, Birgen Haest, Baptiste Schmid, Nadja Weisshaupt

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引用次数: 0

Abstract

Studying nocturnal bird migration is challenging because direct visual observations are difficult during darkness. Radar has been the means of choice to study nocturnal bird migration for several decades, but provides limited taxonomic information. Here, to ascertain the feasibility of enhancing the taxonomic resolution of radar data, we combined acoustic data with vertical‐looking radar measurements to quantify thrush (Family: Turdidae) migration. Acoustic recordings, collected in Helsinki between August and October of 2021–2022, were used to identify likely nights of high and low thrush migration. Then, we built a random forest classifier that used recorded radar signals from those nights to separate all migrating passerines across the autumn migration season into thrushes and non‐thrushes. The classifier had a high overall accuracy (≈0.82), with wingbeat frequency and bird size being key for separation. The overall estimated thrush autumn migration phenology was in line with known migratory patterns and strongly correlated (Pearson correlation coefficient ≈0.65) with the phenology of the acoustic data. These results confirm how the joint application of acoustic and vertical‐looking radar data can, under certain migratory conditions and locations, be used to quantify ‘family‐level’ bird migration.

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利用声学和垂直探测雷达之间的传感器数据融合量化夜间鸫鸟迁徙

研究夜间鸟类迁徙具有挑战性，因为在黑暗中很难进行直接肉眼观察。几十年来，雷达一直是研究夜间鸟类迁徙的首选手段，但其提供的分类信息有限。为了确定提高雷达数据分类分辨率的可行性，我们将声学数据与垂直雷达测量相结合，对鸫科（Turdidae）鸟类的迁徙进行量化。我们利用2021-2022年8月至10月期间在赫尔辛基采集的声学记录来确定鸫鸟迁徙高峰和低谷的可能夜晚。然后，我们建立了一个随机森林分类器，利用这些夜晚记录的雷达信号将秋季迁徙季节的所有迁徙鸟类分为鸫类和非鸫类。该分类器的总体准确率很高（≈0.82），其中振翅频率和鸟的大小是区分的关键。对鸫鸟秋季迁徙物候的总体估计符合已知的迁徙模式，并且与声学数据的物候密切相关（皮尔逊相关系数≈0.65）。这些结果证实了在某些迁徙条件和地点下，声学和垂直探测雷达数据的联合应用可用于量化 "家族级 "鸟类迁徙。

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 Earth and Planetary Sciences-Computers in Earth Sciences

CiteScore

9.80

自引率

5.50%

发文量

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.