Strong inference from transect sign surveys : combining spatial autocorrelation and misclassification occupancy models to quantify the detectability of a recovering carnivore
| Contribuinte(s) |
University of Aberdeen, School of Biological Sciences University of Aberdeen, School of Biological Sciences, Biological Sciences University of Aberdeen, Environment and Food Security |
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| Data(s) |
23/09/2016
23/09/2016
01/09/2016
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| Resumo |
Funding — Forest Enterprise Scotland and the University of Aberdeen provided funding for the project. The Carnegie Trust supported the lead author, E. McHenry, in this research through the award of a tuition fees bursary. Peer reviewed Publisher PDF |
| Formato |
8 |
| Identificador |
McHenry , E , O’Reilly , C , Sheerin , E , Kortland , K & Lambin , X 2016 , ' Strong inference from transect sign surveys : combining spatial autocorrelation and misclassification occupancy models to quantify the detectability of a recovering carnivore ' Wildlife Biology , vol 22 , no. 5 , pp. 209-216 . , 10.2981/wlb.00146 0909-6396 PURE: 63850939 PURE UUID: 3ac374bf-0c6e-4ee5-87fd-3f89ce682b7d |
| Idioma(s) |
eng |
| Relação |
Wildlife Biology |
| Direitos |
This work is licensed under a Creative Commons Attribution 4.0 International License (CC-BY) <http://creativecommons.org/ licenses/by/4.0/>. |
| Palavras-Chave | #detection probability #false negative #false positive #Martes martes #occupancy modelling #sign survey #transect survey #spatial occupancy models #QH301 Biology #QH301 |
| Tipo |
Journal article |
