دورية أكاديمية
أعرض في EDS

The development of an unsupervised hierarchical clustering analysis of dual-polarization weather surveillance radar observations to assess nocturnal insect abundance and diversity.

التفاصيل البيبلوغرافية
العنوان: The development of an unsupervised hierarchical clustering analysis of dual-polarization weather surveillance radar observations to assess nocturnal insect abundance and diversity.
المؤلفون: Lukach M; National Centre for Atmospheric Science and the School of Earth and Environment University of Leeds 71-75 Clarendon Rd, Woodhouse Leeds LS2 9PH UK., Dally T; School of Biology, Faculty of Biological Sciences University of Leeds Woodhouse Lane Leeds LS2 9JT UK., Evans W; National Centre for Atmospheric Science and the School of Earth and Environment University of Leeds 71-75 Clarendon Rd, Woodhouse Leeds LS2 9PH UK.; School of Biology, Faculty of Biological Sciences University of Leeds Woodhouse Lane Leeds LS2 9JT UK., Hassall C; School of Biology, Faculty of Biological Sciences University of Leeds Woodhouse Lane Leeds LS2 9JT UK., Duncan EJ; School of Biology, Faculty of Biological Sciences University of Leeds Woodhouse Lane Leeds LS2 9JT UK., Bennett L; National Centre for Atmospheric Science and the School of Earth and Environment University of Leeds 71-75 Clarendon Rd, Woodhouse Leeds LS2 9PH UK., Addison FI; National Centre for Atmospheric Science and the School of Earth and Environment University of Leeds 71-75 Clarendon Rd, Woodhouse Leeds LS2 9PH UK., Kunin WE; School of Biology, Faculty of Biological Sciences University of Leeds Woodhouse Lane Leeds LS2 9JT UK., Chapman JW; Centre for Ecology and Conservation, and Environment and Sustainability Institute University of Exeter Penryn, Cornwall TR10 9FE UK.; Department of Entomology, College of Plant Protection Nanjing Agricultural University Nanjing 210095 People's Republic of China., Neely RR 3rd; National Centre for Atmospheric Science and the School of Earth and Environment University of Leeds 71-75 Clarendon Rd, Woodhouse Leeds LS2 9PH UK.
المصدر: Remote sensing in ecology and conservation [Remote Sens Ecol Conserv] 2022 Oct; Vol. 8 (5), pp. 698-716. Date of Electronic Publication: 2022 May 24.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: John Wiley & Sons Ltd. on behalf of Zoological Society of London Country of Publication: England NLM ID: 101696176 Publication Model: Print-Electronic Cited Medium: Print ISSN: 2056-3485 (Print) Linking ISSN: 20563485 NLM ISO Abbreviation: Remote Sens Ecol Conserv Subsets: PubMed not MEDLINE
أسماء مطبوعة: Original Publication: [Oxford, England?] : John Wiley & Sons Ltd. on behalf of Zoological Society of London, 2015-
مستخلص: Contemporary analyses of insect population trends are based, for the most part, on a large body of heterogeneous and short-term datasets of diurnal species that are representative of limited spatial domains. This makes monitoring changes in insect biomass and biodiversity difficult. What is needed is a method for monitoring that provides a consistent, high-resolution picture of insect populations through time over large areas during day and night. Here, we explore the use of X-band weather surveillance radar (WSR) for the study of local insect populations using a high-quality, multi-week time series of nocturnal moth light trapping data. Specifically, we test the hypotheses that (i) unsupervised data-driven classification algorithms can differentiate meteorological and biological phenomena, (ii) the diversity of the classes of bioscatterers are quantitatively related to the diversity of insects as measured on the ground and (iii) insect abundance measured at ground level can be predicted quantitatively based on dual-polarization Doppler WSR variables. Adapting the quasi-vertical profile analysis method and data clustering techniques developed for the analysis of hydrometeors, we demonstrate that our bioscatterer classification algorithm successfully differentiates bioscatterers from hydrometeors over a large spatial scale and at high temporal resolutions. Furthermore, our results also show a clear relationship between biological and meteorological scatterers and a link between the abundance and diversity of radar-based bioscatterer clusters and that of nocturnal aerial insects. Thus, we demonstrate the potential utility of this approach for landscape scale monitoring of biodiversity.
(© 2022 The Authors. Remote Sensing in Ecology and Conservation published by John Wiley & Sons Ltd on behalf of Zoological Society of London.)
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فهرسة مساهمة: Keywords: Abundance; biodiversity; dual‐polarization; insects; moths; nocturnal; weather radar
تواريخ الأحداث: Date Created: 20230102 Latest Revision: 20230103
رمز التحديث: 20230103
مُعرف محوري في PubMed: PMC9790603
DOI: 10.1002/rse2.270
PMID: 36588588
قاعدة البيانات: MEDLINE
الوصف
تدمد:2056-3485
DOI:10.1002/rse2.270