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Improving geographically extensive acoustic survey designs for modeling species occurrence with imperfect detection and misidentification

Acoustic recording units (ARUs) enable geographically extensive surveys of sensitive and elusive species. However, a hidden cost of using ARU data for modeling species occupancy is that prohibitive amounts of human verification may be required to correct species identifications made from automated s...

詳細記述

保存先:
書誌詳細
出版年:Ecol Evol
主要な著者: Banner, Katharine M., Irvine, Kathryn M., Rodhouse, Thomas J., Wright, Wilson J., Rodriguez, Rogelio M., Litt, Andrea R.
フォーマット: Artigo
言語:Inglês
出版事項: John Wiley and Sons Inc. 2018
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC6024138/
https://ncbi.nlm.nih.gov/pubmed/29988432
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/ece3.4162
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