Estimating deer density and abundance using spatial mark-resight models with camera trap data.

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Bibliographic Details
Title: Estimating deer density and abundance using spatial mark-resight models with camera trap data.
Authors: Bengsen AJ; NSW Department of Primary Industries, Vertebrate Pest Research Unit, 1447 Forest Road, Orange, NSW 2800, Australia., Forsyth DM; NSW Department of Primary Industries, Vertebrate Pest Research Unit, 1447 Forest Road, Orange, NSW 2800, Australia., Ramsey DSL; Arthur Rylah Institute for Environmental Research, Department of Environment, Land, Water and Planning, 123 Brown Street, Heidelberg, VIC 3084, Australia., Amos M; Queensland Department of Agriculture and Fisheries, 41 Boggo Road, Dutton Park, QLD 4102, Australia., Brennan M; Queensland Department of Agriculture and Fisheries, 41 Boggo Road, Dutton Park, QLD 4102, Australia., Pople AR; Queensland Department of Agriculture and Fisheries, 41 Boggo Road, Dutton Park, QLD 4102, Australia., Comte S; NSW Department of Primary Industries, Vertebrate Pest Research Unit, 1447 Forest Road, Orange, NSW 2800, Australia., Crittle T; NSW Department of Primary Industries, Biosecurity and Food Safety, 4 Marsden Park Road, Calala, NSW 2340, Australia.
Source: Journal of mammalogy [J Mammal] 2022 Mar 08; Vol. 103 (3), pp. 711-722. Date of Electronic Publication: 2022 Mar 08 (Print Publication: 2022).
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 2985081R Publication Model: eCollection Cited Medium: Print ISSN: 0022-2372 (Print) Linking ISSN: 00222372 NLM ISO Abbreviation: J Mammal Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:0022-2372
DOI:10.1093/jmammal/gyac016