量化气象监测雷达对候鸟活动测量的范围和地形偏差

IF 3.9 2区 环境科学与生态学 Q1 ECOLOGY
Miguel F. Jimenez, Birgen Haest, Ali Khalighifar, Annika L. Abbott, Abigail Feuka, Aitao Liu, Kyle G. Horton
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引用次数: 0

摘要

气象雷达系统已成为研究夜间鸟类迁徙的核心工具。然而,虽然有研究试图通过与其他取样技术的比较来验证天气雷达数据,但很少有研究明确研究了范围和地形阻挡对取样探测的影响--这些关键因素可能会使更广泛的推论产生偏差。在这里,我们结合怀俄明州夏安下一代天气雷达(NEXRAD)站点来评估这些偏差,该站点是美国 160 个天气监测站网络中的大型雷达之一。我们将使用移动式垂直观测雷达收集的当地密度测量值与 NEXRAD 站在相应地区的反射率进行了比较。NEXRAD 和移动雷达之间的平均夜间迁徙活动和夜间迁徙活动都有很强的相关性(r = 0.85 和 0.70),但这种关系随着距离和波束阻挡的增加而减弱。在平均夜间尺度上,经测距校正的 NEXRAD 反射率比未经校正的反射率更能预测观测到的移动雷达密度,这表明目前的测距校正方法在一定程度上有效地校正了这种偏差。在夜间时间尺度内,校正和未校正反射率模型在 65 千米范围内的表现类似,但在此距离之外,未校正反射率比测距校正反射率的预测能力更强,这表明这些校正方法存在测距限制。总之,我们的研究结果进一步验证了天气雷达作为鸟类学工具的有效性,同时也强调并量化了潜在的取样偏差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantifying range‐ and topographical biases in weather surveillance radar measures of migratory bird activity
Weather radar systems have become a central tool in the study of nocturnal bird migration. Yet, while studies have sought to validate weather radar data through comparison to other sampling techniques, few have explicitly examined the impact of range and topographical blockage on sampling detection—critical dimensions that can bias broader inferences. Here, we assess these biases with relation to the Cheyenne, WY Next Generation Weather Radar (NEXRAD) site, one of the large‐scale radars in a network of 160 weather surveillance stations based in the United States. We compared local density measures collected using a mobile, vertically looking radar with reflectivity from the NEXRAD station in the corresponding area. Both mean nightly migration activity and within night migration activity between NEXRAD and the mobile radar were strongly correlated (r = 0.85 and 0.70, respectively), but this relationship degraded with both increasing distance and beam blockage. Range‐corrected NEXRAD reflectivity was a stronger predictor of observed mobile radar densities than uncorrected reflectivity at the mean nightly scale, suggesting that current range correction methods are somewhat effective at correcting for this bias. At the within night temporal scale, corrected and uncorrected reflectivity models performed similarly up to 65 km, but beyond this distance, uncorrected reflectivity became a stronger predictor than range‐corrected reflectivity, suggesting range limitations to these corrections. Together, our findings further validate weather radar as an ornithological tool, but also highlight and quantify potential sampling biases.
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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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