Skip to content

Research at St Andrews

Evaluation of wolf density estimation from radiotelemetry data

Research output: Contribution to journalArticle

Author(s)

J.W. Burch, L.G. Adams, E.H. Follmann, Eric Rexstad

School/Research organisations

Abstract

Density estimation of wolves (Canis lupus) requires a count of individuals and an estimate of the area those individuals inhabit. With radiomarked wolves, the count is straightforward but estimation of the 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 the estimation of 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, Alaska, we 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 increased, fewer relocations were necessary to define a given percentage of population area. We present recommendations for monitoring wolves via radiotelemetry.

Close

Details

Original languageEnglish
Pages (from-to)1225-1236
Number of pages12
JournalWildlife Society Bulletin
Volume33
DOIs
Publication statusPublished - 2005

    Research areas

  • Alaska, Canis lupus, Denali National Park, density, home range, radiotelemetry, wolf, HOME-RANGE, POPULATION-DENSITY, WOLVES, SIZE, SIMULATION, TELEMETRY

Discover related content
Find related publications, people, projects and more using interactive charts.

View graph of relations

Related by author

  1. Distance sampling in R

    Miller, D. L., Rexstad, E., Thomas, L., Marshall, L. & Laake, J. L., 9 May 2019, In : Journal of Statistical Software. 89, 1, 28 p.

    Research output: Contribution to journalArticle

  2. Weather-driven change in primary productivity explains variation in the amplitude of two herbivore population cycles in a boreal system

    Schmidt, J. H., Rexstad, E. A., Roland, C. A., McIntyre, C. L., MacCluskie, M. C. & Flamme, M. J., Feb 2018, In : Oecologia. 186, 2, p. 435-446 12 p.

    Research output: Contribution to journalArticle

  3. Animal Counting Toolkit: a practical guide to small-boat surveys for estimating abundance of coastal marine mammals

    Williams, R., Ashe, E. E., Gaut, K., Gryba, R., Moore, J. E., Rexstad, E., Sandilands, D., Steventon, J. & Reeves, R., 10 Aug 2017, In : Endangered Species Research. 34, p. 149-165 17 p.

    Research output: Contribution to journalArticle

  4. Model-based approaches to deal with detectability: a comment on Hutto (2016a)

    Marques, T. A., Thomas, L., Kery, M., Buckland, S. T., Borchers, D. L., Rexstad, E., Fewster, R. M., Mackenzie, D. I., Royle, J. A., Guillera-Arroita, G., Handel, C. M., Pavlacky, D. C. & Camp, R. J., Jul 2017, In : Ecological Applications. 27, 5, p. 1694-1698 5 p.

    Research output: Contribution to journalLetter

  5. Distance sampling surveys of population size: Enabling better decision-making by wildlife managers

    Buckland, S. T., Rexstad, E., Thomas, L. & Borchers, D. L., 1 Jan 2016, UK Success Stories in Industrial Mathematics. Springer, p. 45-51 7 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

Related by journal

  1. Estimating Key Largo woodrat abundance using spatially explicit capture–recapture and trapping point transects

    Potts, J. M., Buckland, S. T., Thomas, L. & Savage, A., Jun 2016, In : Wildlife Society Bulletin. 40, 2, p. 331-338

    Research output: Contribution to journalArticle

  2. The use of Global Positioning Systems to record distances in a helicopter line-transect survey

    Marques, T. A., Andersen, M., Christensen-Dalsgaard, S., Belikov, S., Boltunov, A., Wiig, O., Buckland, S. T. & Aars, J., Oct 2006, In : Wildlife Society Bulletin. 34, p. 759-763 5 p.

    Research output: Contribution to journalArticle

ID: 402951