Data from: Maintaining animal assemblages through single-species management: the case of threatened caribou in boreal forest ...
With the intensification of human activities, preserving animal populations is a contemporary challenge of critical importance. In this context, the umbrella species concept is appealing because preserving a single species should result in the protection of multiple co-occurring species. Practitione...
| Main Authors: | , , , , |
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| Format: | Dataset |
| Language: | English |
| Published: |
Dryad
2015
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| Subjects: | |
| Online Access: | https://dx.doi.org/10.5061/dryad.842r3 https://datadryad.org/stash/dataset/doi:10.5061/dryad.842r3 |
| Summary: | With the intensification of human activities, preserving animal populations is a contemporary challenge of critical importance. In this context, the umbrella species concept is appealing because preserving a single species should result in the protection of multiple co-occurring species. Practitioners, though, face the task of having to find suitable umbrellas to develop single-species management guidelines. In North America, boreal forests must be managed to facilitate the recovery of the threatened boreal caribou (Rangifer tarandus). Yet, the effect of caribou conservation on co-occurring animal species remains poorly documented. We tested if boreal caribou can constitute an effective umbrella for boreal fauna. Birds, small mammals, and insects were sampled along gradients of post-harvest and post-fire forest succession. Predictive models of occupancy were developed from the responses of 95 species to characteristics of forest stands and their surroundings. We then assessed the similarity of species ... : PA_animal_data_Bichet_et_al_2015Raw presence/absence data for birds, ants, ground beetles, flying beetles and small mammals sampled in Eastern-Canada boreal forest, together with habitat variables identified from digital eco-forest maps.Species_occurrence_probability_Bichet_et_al_2015Mean species occurrence probability in each management scenario, calculated as the sum of species-specific occurrence probability in each pixel divided by the number of pixels in each simulated landscape. ... |
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