دورية أكاديمية
أعرض في EDS

Genetic identification of avian samples recovered from solar energy installations.

التفاصيل البيبلوغرافية
العنوان: Genetic identification of avian samples recovered from solar energy installations.
المؤلفون: Gruppi C; Center for Tropical Research, Institute of Environment and Sustainability, University of California, Los Angeles, Los Angeles, California, United States of America., Sanzenbacher P; U.S. Fish and Wildlife Service, Palm Springs, California, United States of America., Balekjian K; Center for Tropical Research, Institute of Environment and Sustainability, University of California, Los Angeles, Los Angeles, California, United States of America., Hagar R; Center for Tropical Research, Institute of Environment and Sustainability, University of California, Los Angeles, Los Angeles, California, United States of America., Hagen S; Center for Tropical Research, Institute of Environment and Sustainability, University of California, Los Angeles, Los Angeles, California, United States of America., Rayne C; Department of Biology, Colorado State University, Fort Collins, Colorado, United States of America., Schweizer TM; Department of Biology, Colorado State University, Fort Collins, Colorado, United States of America., Bossu CM; Department of Biology, Colorado State University, Fort Collins, Colorado, United States of America., Cooper D; Resource Conservation District, Santa Monica Mountains, Topanga, California, United States of America., Dietsch T; U.S. Fish and Wildlife Service, Carlsbad, California, United States of America., Smith TB; Center for Tropical Research, Institute of Environment and Sustainability, University of California, Los Angeles, Los Angeles, California, United States of America.; Department of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, California, United States of America., Ruegg K; Department of Biology, Colorado State University, Fort Collins, Colorado, United States of America., Harrigan RJ; Center for Tropical Research, Institute of Environment and Sustainability, University of California, Los Angeles, Los Angeles, California, United States of America.
المصدر: PloS one [PLoS One] 2023 Sep 06; Vol. 18 (9), pp. e0289949. Date of Electronic Publication: 2023 Sep 06 (Print Publication: 2023).
نوع المنشور: Journal Article; Research Support, U.S. Gov't, Non-P.H.S.
اللغة: English
بيانات الدورية: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
أسماء مطبوعة: Original Publication: San Francisco, CA : Public Library of Science
مواضيع طبية MeSH: Solar Energy*, Animals ; Renewable Energy ; Animals, Wild ; Birds/genetics ; Climate Change
مستخلص: Renewable energy production and development will drastically affect how we meet global energy demands, while simultaneously reducing the impact of climate change. Although the possible effects of renewable energy production (mainly from solar- and wind-energy facilities) on wildlife have been explored, knowledge gaps still exist, and collecting data from wildlife remains (when negative interactions occur) at energy installations can act as a first step regarding the study of species and communities interacting with facilities. In the case of avian species, samples can be collected relatively easily (as compared to other sampling methods), but may only be able to be identified when morphological characteristics are diagnostic for a species. Therefore, many samples that appear as partial remains, or "feather spots"-known to be of avian origin but not readily assignable to species via morphology-may remain unidentified, reducing the efficiency of sample collection and the accuracy of patterns observed. To obtain data from these samples and ensure their identification and inclusion in subsequent analyses, we applied, for the first time, a DNA barcoding approach that uses mitochondrial genetic data to identify unknown avian samples collected at solar facilities to species. We also verified and compared identifications obtained by our genetic method to traditional morphological identifications using a blind test, and discuss discrepancies observed. Our results suggest that this genetic tool can be used to verify, correct, and supplement identifications made in the field and can produce data that allow accurate comparisons of avian interactions across facilities, locations, or technology types. We recommend implementing this genetic approach to ensure that unknown samples collected are efficiently identified and contribute to a better understanding of wildlife impacts at renewable energy projects.
Competing Interests: Competing interests: The authors have declared that no competing interests exist.
(Copyright: This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.)
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سلسلة جزيئية: Dryad 10.5061/dryad.fbg79cp1g
تواريخ الأحداث: Date Created: 20230906 Date Completed: 20230908 Latest Revision: 20230908
رمز التحديث: 20240628
مُعرف محوري في PubMed: PMC10482291
DOI: 10.1371/journal.pone.0289949
PMID: 37672506
قاعدة البيانات: MEDLINE
الوصف
تدمد:1932-6203
DOI:10.1371/journal.pone.0289949