Literature DB >> 30306635

The importance of considering multiple interacting species for conservation of species at risk.

Joanna M Burgar1,2, A Cole Burton1, Jason T Fisher2,3.   

Abstract

Conservation of species at risk of extinction is complex and multifaceted. However, mitigation strategies are typically narrow in scope, an artifact of conservation research that is often limited to a single species or stressor. Knowledge of an entire community of strongly interacting species would greatly enhance the comprehensiveness and effectiveness of conservation decisions. We investigated how camera trapping and spatial count models, an extension of spatial-recapture models for unmarked populations, can accomplish this through a case study of threatened boreal woodland caribou (Rangifer tarandus caribou). Population declines in caribou are precipitous and well documented, but recovery strategies focus heavily on control of wolves (Canis lupus) and pay less attention to other known predators and apparent competitors. Obtaining necessary data on multispecies densities has been difficult. We used spatial count models to concurrently estimate densities of caribou, their predators (wolf, black bear [Ursus americanus], and coyote [Canis latrans]), and alternative prey (moose [Alces alces] and white-tailed deer [Odocoileus virginianus]) from a camera-trap array in a highly disturbed landscape within northern Alberta's Oil Sands Region. Median densities were 0.22 caribous (95% Bayesian credible interval [BCI] = 0.08-0.65), 0.77 wolves (95% BCI = 0.26-2.67), 2.39 moose (95% BCI = 0.56-7.00), 2.64 coyotes (95% BCI = 0.45-6.68), and 3.63 black bears (95% BCI = 1.25-8.52) per 100 km2 . (The white-tailed deer model did not converge.) Although wolf densities were higher than densities recommended for caribou conservation, we suggest the markedly higher black bear and coyote densities may be of greater concern, especially if government wolf control further releases these species. Caribou conservation with a singular focus on wolf control may leave caribou vulnerable to other predators. We recommend a broader focus on the interacting species within a community when conserving species.
© 2018 Society for Conservation Biology.

Entities:  

Keywords:  Bayesian; Rangifer tarandus; bayesiano; camera trap surveys; carnivores; carnívoros; censos con cámaras trampa; modelos de conteo espacial; spatial count models; 空间计数模型; 红外相机捕获调查; 贝叶斯; 食肉目; 驯鹿 (Rangifer tarandus)

Year:  2018        PMID: 30306635     DOI: 10.1111/cobi.13233

Source DB:  PubMed          Journal:  Conserv Biol        ISSN: 0888-8892            Impact factor:   6.560


  3 in total

1.  Evaluating and integrating spatial capture-recapture models with data of variable individual identifiability.

Authors:  Joel S Ruprecht; Charlotte E Eriksson; Tavis D Forrester; Darren A Clark; Michael J Wisdom; Mary M Rowland; Bruce K Johnson; Taal Levi
Journal:  Ecol Appl       Date:  2021-08-11       Impact factor: 6.105

2.  Density-dependent space use affects interpretation of camera trap detection rates.

Authors:  Kate Broadley; A Cole Burton; Tal Avgar; Stan Boutin
Journal:  Ecol Evol       Date:  2019-11-22       Impact factor: 2.912

3.  Behavioral "bycatch" from camera trap surveys yields insights on prey responses to human-mediated predation risk.

Authors:  A Cole Burton; Christopher Beirne; Catherine Sun; Alys Granados; Michael Procko; Cheng Chen; Mitchell Fennell; Alexia Constantinou; Chris Colton; Katie Tjaden-McClement; Jason T Fisher; Joanna Burgar
Journal:  Ecol Evol       Date:  2022-07-17       Impact factor: 3.167

  3 in total

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