Literature DB >> 33513142

Estimating brown bear abundance and harvest rate on the southern Alaska Peninsula.

Earl F Becker1, David W Crowley2.   

Abstract

Abundance estimation of hunted brown bear populations should occur on the same geographic scale as harvest data analyses for estimation of harvest rate. Estimated harvest rates are an important statistic for managing hunted bear populations. In Alaska, harvest data is collected over large geographic units, called Game Management Units (GMUs) and sub-GMUs. These sub GMUs often exceed 10,000 km2. In the spring of 2002, we conducted an aerial survey of GMU 9D (12,600 km2) and GMU 10 (4,070 km2) using distance sampling with mark-resight data. We used a mark-resight distance sampling method with a two-piece normal detection function to estimate brown bear abundance as 1,682.9 (SE = 174.29) and 316.9 (SE = 48.25) for GMU 9D and GMU 10, respectively. We used reported hunter harvest to estimate harvest rates of 4.35% (SE = 0.45%) and 3.06% (SE = 0.47%) for GMU 9D and GMU 10, respectively. Management objective for these units support sustained, high quality hunting opportunity which harvest data indicate are met with an annual harvest rate of approximately 5-6% or less.

Entities:  

Year:  2021        PMID: 33513142      PMCID: PMC7845982          DOI: 10.1371/journal.pone.0245367

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  6 in total

1.  Incorporating covariates into standard line transect analyses.

Authors:  Fernanda F C Marques; Stephen T Buckland
Journal:  Biometrics       Date:  2003-12       Impact factor: 2.571

2.  Accommodating unmodeled heterogeneity in double-observer distance sampling surveys.

Authors:  D L Borchers; J L Laake; C Southwell; C G M Paxton
Journal:  Biometrics       Date:  2006-06       Impact factor: 2.571

3.  Double-observer line transect methods: levels of independence.

Authors:  Stephen T Buckland; Jeffrey L Laake; David L Borchers
Journal:  Biometrics       Date:  2009-05-07       Impact factor: 2.571

4.  Estimating the encounter rate variance in distance sampling.

Authors:  Rachel M Fewster; Stephen T Buckland; Kenneth P Burnham; David L Borchers; Peter E Jupp; Jeffrey L Laake; Len Thomas
Journal:  Biometrics       Date:  2008-03-24       Impact factor: 2.571

5.  A Unimodal Model for Double Observer Distance Sampling Surveys.

Authors:  Earl F Becker; Aaron M Christ
Journal:  PLoS One       Date:  2015-08-28       Impact factor: 3.240

Review 6.  Rejection of Schmidt et al.'s estimators for bear population size.

Authors:  Earl Becker; Aaron Christ
Journal:  Ecol Evol       Date:  2019-04-24       Impact factor: 2.912

  6 in total

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