Evaluation of wolf density estimation from radiotelemetry data
Thesis (M.S.) University of Alaska Fairbanks, 2001 Density estimation of wolves (Canis lupus) requires a count of individuals and an estimate of area those individuals inhabit. With radiomarked wolves, the count is straightforward but estimation of area is more difficult and often given inadequate a...
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ftunivalaska:oai:scholarworks.alaska.edu:11122/4934 2023-05-15T15:50:11+02:00 Evaluation of wolf density estimation from radiotelemetry data Burch, John W. 2001-05 http://hdl.handle.net/11122/4934 en_US eng http://hdl.handle.net/11122/4934 Department of Biology and Wildlife Thesis ms 2001 ftunivalaska 2023-02-23T21:36:19Z Thesis (M.S.) University of Alaska Fairbanks, 2001 Density estimation of wolves (Canis lupus) requires a count of individuals and an estimate of area those individuals inhabit. With radiomarked wolves, the count is straightforward but estimation of area is more difficult and often given inadequate attention. The population area, based on the mosaic of pack territories, is influenced by sampling intensity similar to individual home ranges. If sampling intensity is low, population area will be underestimated and wolf density will be inflated. Using data from studies in Denali National Park and Preserve, I investigated these relationships using Monte Carlo simulation to evaluate effects of radiolocation effort and number of marked packs on density estimation. As the number of adjoining pack home ranges increase, fewer relocations are necessary to define a given percentage of population area. I evaluated the utility of nonlinear regression to adjust for biases associated with under sampling and present recommendations for monitoring wolves via radiotelemetry. Thesis Canis lupus Alaska University of Alaska: ScholarWorks@UA Fairbanks |
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University of Alaska: ScholarWorks@UA |
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ftunivalaska |
language |
English |
description |
Thesis (M.S.) University of Alaska Fairbanks, 2001 Density estimation of wolves (Canis lupus) requires a count of individuals and an estimate of area those individuals inhabit. With radiomarked wolves, the count is straightforward but estimation of area is more difficult and often given inadequate attention. The population area, based on the mosaic of pack territories, is influenced by sampling intensity similar to individual home ranges. If sampling intensity is low, population area will be underestimated and wolf density will be inflated. Using data from studies in Denali National Park and Preserve, I investigated these relationships using Monte Carlo simulation to evaluate effects of radiolocation effort and number of marked packs on density estimation. As the number of adjoining pack home ranges increase, fewer relocations are necessary to define a given percentage of population area. I evaluated the utility of nonlinear regression to adjust for biases associated with under sampling and present recommendations for monitoring wolves via radiotelemetry. |
format |
Thesis |
author |
Burch, John W. |
spellingShingle |
Burch, John W. Evaluation of wolf density estimation from radiotelemetry data |
author_facet |
Burch, John W. |
author_sort |
Burch, John W. |
title |
Evaluation of wolf density estimation from radiotelemetry data |
title_short |
Evaluation of wolf density estimation from radiotelemetry data |
title_full |
Evaluation of wolf density estimation from radiotelemetry data |
title_fullStr |
Evaluation of wolf density estimation from radiotelemetry data |
title_full_unstemmed |
Evaluation of wolf density estimation from radiotelemetry data |
title_sort |
evaluation of wolf density estimation from radiotelemetry data |
publishDate |
2001 |
url |
http://hdl.handle.net/11122/4934 |
geographic |
Fairbanks |
geographic_facet |
Fairbanks |
genre |
Canis lupus Alaska |
genre_facet |
Canis lupus Alaska |
op_relation |
http://hdl.handle.net/11122/4934 Department of Biology and Wildlife |
_version_ |
1766385161398648832 |