将气象监测雷达数据应用于生态研究

IF 5.8 2区 环境科学与生态学 Q1 ECOLOGY
Maryna Lukach , Thomas Dally , William Evans , Elizabeth J. Duncan , Lindsay Bennett , Freya I. Addison , William E. Kunin , Jason W. Chapman , Ryan R. Neely III , Christopher Hassall
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引用次数: 0

摘要

全球生物多样性的减少要求监测框架发生重大变化,以正确跟踪和诊断种群趋势。国家气象监测雷达(WSR)网络提供高空间分辨率(约 1-10 公里)和时间分辨率(5-10 分钟)的数据,收集范围覆盖区域和十年尺度。然而,WSR 数据集因其格式、容量和三维空间结构而给生态学家带来了新的挑战。在此,我们定义了一种处理 WSR 数据的新方法,以生成一种产品,用于分析单个地面站点的空中生物多样性(丰度或多样性)趋势。从大约每六分钟采集一次的全量 WSR 数据中,我们提取了站点上方的垂直 WSR 观测数据列,与地面的标准化夜间大型蛾类监测数据进行比较。结果表明,WSR 得出的气柱生物多样性替代值与地面夜蛾群落的丰度和多样性测量值非常吻合。柱状产品的直径为 5 千米,在生物相关尺度上运行,但柱状产品的尺寸可以很容易地定制,并且可以部署在 WSR 可观测范围内的任何地点。这些发现有可能将过去和现在的 WSR 观测结果广泛应用于现有和新的生态问题,并可应用于世界各地的天气雷达网络。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Operationalising weather surveillance radar data for use in ecological research
Global biodiversity declines require a step change in monitoring frameworks to properly track and diagnose population trends. National weather surveillance radar (WSR) networks offer high spatial (ca. 1-10 km) and temporal (5–10 min) resolution data collected over regional and decadal scales, with well-supported infrastructure that holds great promise for the study of biodiversity. However, WSR datasets pose new challenges for ecologists due to their format, volume, and three-dimensional spatial structure. Here, we define a novel approach to the processing of WSR data to produce a product that can be used to interrogate trends in aerial biodiversity (abundance or diversity) at and across individual ground-level sites. From the full volume of WSR data collected approximately every six minutes we extract vertical columns of WSR observations above sites to compare against standardised nocturnal macro-moth monitoring data at ground level. The results show that there is strong agreement between the WSR-derived proxy of biodiversity in the air column and ground-level measurements of abundance and diversity in nocturnal moth communities. The columnar product operates on a biologically relevant scale with a diameter of 5 km, although column dimensions can easily be customised, and can be deployed at any site within a WSR's observable range. These findings have the potential to unlock past and present WSR observations for widespread application to existing and novel ecological questions and can be applied to weather radar networks around the world.
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来源期刊
Ecological Informatics
Ecological Informatics 环境科学-生态学
CiteScore
8.30
自引率
11.80%
发文量
346
审稿时长
46 days
期刊介绍: The journal Ecological Informatics is devoted to the publication of high quality, peer-reviewed articles on all aspects of computational ecology, data science and biogeography. The scope of the journal takes into account the data-intensive nature of ecology, the growing capacity of information technology to access, harness and leverage complex data as well as the critical need for informing sustainable management in view of global environmental and climate change. The nature of the journal is interdisciplinary at the crossover between ecology and informatics. It focuses on novel concepts and techniques for image- and genome-based monitoring and interpretation, sensor- and multimedia-based data acquisition, internet-based data archiving and sharing, data assimilation, modelling and prediction of ecological data.
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