Density of fishers and the efficacy of relative abundance indices and small‐scale occupancy estimation to detect a population decline on the Hoopa Valley Indian Reservation, California

Abstract We used a mark–resight design to calculate density estimates of fisher (Martes pennanti), a candidate for listing under the United States Endangered Species Act, on the Hoopa Valley Indian Reservation in northwestern California, USA in order to determine population status in 1998 and 2005....

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Main Authors: Sean M. Matthews, J. Mark Higley, J. Scott Yaeger, Todd K. Fuller
Format: Article
Language:English
Published: Wiley 2011-06-01
Series:Wildlife Society Bulletin
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Online Access:https://doi.org/10.1002/wsb.19
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author Sean M. Matthews
J. Mark Higley
J. Scott Yaeger
Todd K. Fuller
author_facet Sean M. Matthews
J. Mark Higley
J. Scott Yaeger
Todd K. Fuller
author_sort Sean M. Matthews
collection DOAJ
description Abstract We used a mark–resight design to calculate density estimates of fisher (Martes pennanti), a candidate for listing under the United States Endangered Species Act, on the Hoopa Valley Indian Reservation in northwestern California, USA in order to determine population status in 1998 and 2005. Our density estimation results and simultaneous population‐monitoring data provided a post hoc opportunity to evaluate the relative efficacy of 3 classical indexing techniques (catch‐per‐unit‐effort, frequency of detection at camera stations, and frequency of detection at track‐plate stations) and small‐scale occupancy estimation to accurately detect population change. We calculated densities (and 95% CI) of 52 (43–64) and 14 (13–16) fishers/100 km2 in 1998 and 2005, respectively. We detected a decline in the relative abundance of fishers between 1998 and 2005 using catch‐per‐unit‐effort indices (χ2 ≥ 10.18, P ≤ 0.007), but not in magnitude similar to our density estimates. We detected an increase (χ2 = 4.23, P = 0.040) and no difference (χ2 = 1.38, P = 0.240) in the relative abundance of fishers between surveys using frequency of detection indices at camera stations and at track‐plate stations, respectively. Occupancy estimates did not differ between 1998 and 2005. We speculate changes in prey habitat, increases in predation, disease, or some combination of these potential causes, were responsible for the population decline. Our results reinforce the importance of careful thought given to the study goals and potential limitations of any technique. For populations deemed valuable (e.g., at risk or sensitive), we suggest managers consider adopting more defensible, large‐scale occupancy estimation or mark–recapture methods to monitor changes in population sizes. © 2011 The Wildlife Society.
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spelling doaj-art-aaf633b0d40b4b6aba353916bfd1194d2024-12-16T10:36:08ZengWileyWildlife Society Bulletin2328-55402011-06-01352697510.1002/wsb.19Density of fishers and the efficacy of relative abundance indices and small‐scale occupancy estimation to detect a population decline on the Hoopa Valley Indian Reservation, CaliforniaSean M. Matthews0J. Mark Higley1J. Scott Yaeger2Todd K. Fuller3Wildlife Conservation Society, P.O. Box 368, Hoopa, CA 95546, USAWildlife Department, Hoopa Tribal Forestry, P.O. Box 368, Hoopa, CA 95546, USAWildlife Department, Hoopa Tribal Forestry, P.O. Box 368, Hoopa, CA 95546, USADepartment of Environmental Conservation, University of Massachusetts, 160 Holdsworth Way, Amherst, MA 01003‐9285, USAAbstract We used a mark–resight design to calculate density estimates of fisher (Martes pennanti), a candidate for listing under the United States Endangered Species Act, on the Hoopa Valley Indian Reservation in northwestern California, USA in order to determine population status in 1998 and 2005. Our density estimation results and simultaneous population‐monitoring data provided a post hoc opportunity to evaluate the relative efficacy of 3 classical indexing techniques (catch‐per‐unit‐effort, frequency of detection at camera stations, and frequency of detection at track‐plate stations) and small‐scale occupancy estimation to accurately detect population change. We calculated densities (and 95% CI) of 52 (43–64) and 14 (13–16) fishers/100 km2 in 1998 and 2005, respectively. We detected a decline in the relative abundance of fishers between 1998 and 2005 using catch‐per‐unit‐effort indices (χ2 ≥ 10.18, P ≤ 0.007), but not in magnitude similar to our density estimates. We detected an increase (χ2 = 4.23, P = 0.040) and no difference (χ2 = 1.38, P = 0.240) in the relative abundance of fishers between surveys using frequency of detection indices at camera stations and at track‐plate stations, respectively. Occupancy estimates did not differ between 1998 and 2005. We speculate changes in prey habitat, increases in predation, disease, or some combination of these potential causes, were responsible for the population decline. Our results reinforce the importance of careful thought given to the study goals and potential limitations of any technique. For populations deemed valuable (e.g., at risk or sensitive), we suggest managers consider adopting more defensible, large‐scale occupancy estimation or mark–recapture methods to monitor changes in population sizes. © 2011 The Wildlife Society.https://doi.org/10.1002/wsb.19camerascapturefisherMartes pennantioccupancyrelative abundance index
spellingShingle Sean M. Matthews
J. Mark Higley
J. Scott Yaeger
Todd K. Fuller
Density of fishers and the efficacy of relative abundance indices and small‐scale occupancy estimation to detect a population decline on the Hoopa Valley Indian Reservation, California
Wildlife Society Bulletin
cameras
capture
fisher
Martes pennanti
occupancy
relative abundance index
title Density of fishers and the efficacy of relative abundance indices and small‐scale occupancy estimation to detect a population decline on the Hoopa Valley Indian Reservation, California
title_full Density of fishers and the efficacy of relative abundance indices and small‐scale occupancy estimation to detect a population decline on the Hoopa Valley Indian Reservation, California
title_fullStr Density of fishers and the efficacy of relative abundance indices and small‐scale occupancy estimation to detect a population decline on the Hoopa Valley Indian Reservation, California
title_full_unstemmed Density of fishers and the efficacy of relative abundance indices and small‐scale occupancy estimation to detect a population decline on the Hoopa Valley Indian Reservation, California
title_short Density of fishers and the efficacy of relative abundance indices and small‐scale occupancy estimation to detect a population decline on the Hoopa Valley Indian Reservation, California
title_sort density of fishers and the efficacy of relative abundance indices and small scale occupancy estimation to detect a population decline on the hoopa valley indian reservation california
topic cameras
capture
fisher
Martes pennanti
occupancy
relative abundance index
url https://doi.org/10.1002/wsb.19
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