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Estimating population size of fishers ( Pekania pennanti ) using camera stations and auxiliary data on home range size
Author(s) -
Furnas B. J.,
Landers R. H.,
Callas R. L.,
Matthews S. M.
Publication year - 2017
Publication title -
ecosphere
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.255
H-Index - 57
ISSN - 2150-8925
DOI - 10.1002/ecs2.1747
Subject(s) - range (aeronautics) , population size , abundance (ecology) , population density , population , geography , home range , mark and recapture , statistics , confidence interval , habitat , ecology , spatial analysis , vital rates , breeding bird survey , physical geography , demography , population growth , biology , remote sensing , mathematics , materials science , sociology , composite material
Abstract Estimating density and population size is often more challenging than measuring indices of abundance because of uncertainty about the effective area of surveys. We combined hierarchical modeling of detection/non‐detection data from camera stations with auxiliary information on home range sizes to address this issue. We used this approach to estimate the total population size of fishers ( Pekania pennanti ) throughout the largest remaining native range (Northern California and Southern Oregon [NCSO], 48,760 km 2 ) of this species in the Pacific States of the United States. After controlling for various habitat, gender, and survey factors affecting detection probability, local abundance, and home range size, we estimated an average density of 6.6 fishers per 100 km 2 (95% confidence interval [CI]: 5.1–8.6) and a total of 3196 fishers (95% CI: 2507–4184). We mapped how fisher density varied throughout the range and demonstrated spatial autocorrelation in density at lag distances up to 40 km. These findings represent the first robust estimate of fisher population size for the range in NCSO. They are important for setting a baseline against which to monitor changes in population status and spatial distribution of fishers which are a species of conservation concern at federal and state levels. However, we note that our estimate of population size is very sensitive to assumptions about the effective area of camera surveys. Our methods could likely be applied to other forest carnivores and highlight the benefits of coordination between researchers to collect and share comparable survey and telemetry data.

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