The importance of considering multiple interacting species for conservation of species at risk
© 2018 Society for Conservation Biology.
Veröffentlicht in: | Conservation biology : the journal of the Society for Conservation Biology. - 1999. - 33(2019), 3 vom: 15. Juni, Seite 709-715 |
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1. Verfasser: | |
Weitere Verfasser: | , |
Format: | Online-Aufsatz |
Sprache: | English |
Veröffentlicht: |
2019
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Zugriff auf das übergeordnete Werk: | Conservation biology : the journal of the Society for Conservation Biology |
Schlagworte: | Journal Article Research Support, Non-U.S. Gov't Bayesian Rangifer tarandus bayesiano camera trap surveys carnivores carnívoros censos con cámaras trampa modelos de conteo espacial mehr... |
Zusammenfassung: | © 2018 Society for Conservation Biology. 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 |
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Beschreibung: | Date Completed 11.12.2019 Date Revised 17.12.2019 published: Print-Electronic Citation Status MEDLINE |
ISSN: | 1523-1739 |
DOI: | 10.1111/cobi.13233 |