Literature DB >> 19396556

Design to monitor trend in abundance and presence of American beaver (Castor canadensis) at the national forest scale.

Jeffrey L Beck1, Daniel C Dauwalter, Kenneth G Gerow, Gregory D Hayward.   

Abstract

Wildlife conservationists design monitoring programs to assess population dynamics, project future population states, and evaluate the impacts of management actions on populations. Because agency mandates and conservation laws call for monitoring data to elicit management responses, it is imperative to design programs that match the administrative scale for which management decisions are made. We describe a program to monitor population trends in American beaver (Castor canadensis) on the US Department of Agriculture, Black Hills National Forest (BHNF) in southwestern South Dakota and northeastern Wyoming, USA. Beaver have been designated as a management indicator species on the BHNF because of their association with riparian and aquatic habitats and its status as a keystone species. We designed our program to monitor the density of beaver food caches (abundance) within sampling units with beaver and the proportion of sampling units with beavers present at the scale of a national forest. We designated watersheds as sampling units in a stratified random sampling design that we developed based on habitat modeling results. Habitat modeling indicated that the most suitable beaver habitat was near perennial water, near aspen (Populus tremuloides) and willow (Salix spp.), and in low gradient streams at lower elevations. Results from the initial monitoring period in October 2007 allowed us to assess costs and logistical considerations, validate our habitat model, and conduct power analyses to assess whether our sampling design could detect the level of declines in beaver stated in the monitoring objectives. Beaver food caches were located in 20 of 52 sampled watersheds. Monitoring 20 to 25 watersheds with beaver should provide sufficient power to detect 15-40% declines in the beaver food cache index as well as a twofold decline in the odds of beaver being present in watersheds. Indices of abundance, such as the beaver food cache index, provide a practical measure of population status to conduct long-term monitoring across broad landscapes such as national forests.

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Year:  2009        PMID: 19396556     DOI: 10.1007/s10661-009-0907-8

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  5 in total

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Authors: 
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Review 2.  Review of environmental monitoring methods: survey designs.

Authors:  Trent L McDonald
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3.  The good, the bad and the ugly of monitoring programs: Defining questions and establishing objectives.

Authors:  B B Stout
Journal:  Environ Monit Assess       Date:  1993-07       Impact factor: 2.513

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Authors:  David M Marsh; Peter C Trenham
Journal:  Conserv Biol       Date:  2008-04-25       Impact factor: 6.560

5.  Power of Sign Surveys to Monitor Population Trends.

Authors:  Katherine C Kendall; Lee H Metzgar; David A Patterson; Brian M Steele
Journal:  Ecol Appl       Date:  1992-11       Impact factor: 4.657

  5 in total
  3 in total

1.  Long-term monitoring of western aspen--lessons learned.

Authors:  E K Strand; S C Bunting; L A Starcevich; M T Nahorniak; G Dicus; L K Garrett
Journal:  Environ Monit Assess       Date:  2015-07-28       Impact factor: 2.513

2.  Abundance versus presence/absence data for modelling fish habitat preference with a genetic Takagi-Sugeno fuzzy system.

Authors:  Shinji Fukuda; Ans M Mouton; Bernard De Baets
Journal:  Environ Monit Assess       Date:  2011-11-09       Impact factor: 2.513

3.  A global review of beaver dam impacts: Stream conservation implications across biomes.

Authors:  Bartosz P Grudzinski; Ken Fritz; Heather E Golden; Tammy A Newcomer-Johnson; Jason A Rech; Jonathan Levy; Justin Fain; Jessica L McCarty; Brent Johnson; Teng Keng Vang; Karsten Maurer
Journal:  Glob Ecol Conserv       Date:  2022-09       Impact factor: 3.969

  3 in total

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