Spatially explicit power analysis for detecting occupancy trends for multiple species.

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Bibliographic Details
Title: Spatially explicit power analysis for detecting occupancy trends for multiple species.
Authors: Southwell DM; Quantitive and Applied Ecology Group, School of BioSciences, University of Melbourne, Melbourne, Victoria, 3010, Australia., Einoder LD; Flora and Fauna Division, Department of Environment and Natural Resources, P.O. Box 496, Palmerston, Northern Territory, 0831, Australia., Lahoz-Monfort JJ; Quantitive and Applied Ecology Group, School of BioSciences, University of Melbourne, Melbourne, Victoria, 3010, Australia., Fisher A; Flora and Fauna Division, Department of Environment and Natural Resources, P.O. Box 496, Palmerston, Northern Territory, 0831, Australia., Gillespie GR; Flora and Fauna Division, Department of Environment and Natural Resources, P.O. Box 496, Palmerston, Northern Territory, 0831, Australia., Wintle BA; Quantitive and Applied Ecology Group, School of BioSciences, University of Melbourne, Melbourne, Victoria, 3010, Australia.; Threatened Species Recovery Hub, National Environmental Science Program, School of BioSciences, University of Melbourne, Melbourne, Victoria, 3010, Australia.
Source: Ecological applications : a publication of the Ecological Society of America [Ecol Appl] 2019 Sep; Vol. 29 (6), pp. e01950. Date of Electronic Publication: 2019 Jul 16.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Ecological Society of America Country of Publication: United States NLM ID: 9889808 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1051-0761 (Print) Linking ISSN: 10510761 NLM ISO Abbreviation: Ecol Appl Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1051-0761
DOI:10.1002/eap.1950