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Dataset Title
Habitat area and environmental filters determine avian richness along an elevation gradient in mountain peatlands
Dataset DOI
https://doi.org/10.5061/dryad.12jm63z02
Related Paper DOIs (one per line)
https://doi.org/10.1111/jav.02797
Abstract
Globally, relationships between avian richness and elevation in mountain ecosystems typically reflect one of four well-documented patterns, but the mechanisms responsible for these patterns are poorly understood. We investigated which pattern best described bird species richness in peatlands of the Upper Bow Basin of the Canadian Rocky Mountains (1300 to 2000 m a.s.l.) and used a model competition framework to investigate possible mechanisms. Avian richness displayed a plateauing (cubic) relationship in response to increasing elevation (AICc weight = 0.48). Log richness was significantly positively related to log peatland area (R² = 0.42, p = 0.001); however, once we accounted for the richness-area relationship (area was not related to elevation (R² = 0.13, p = 0.083)), the richness-elevation relationship was best described by a negative linear model rather than a cubic model (AICc weight = 0.69, R² = 0.39). Consequently, we reject the neutral model of the mid-domain effect and conclude that peatland area and one or more environmental filters are simultaneously driving relationships between avian richness and elevation in Rocky Mountain peatlands. Multi-causality likely explains why researchers in different geographies observe inconsistent patterns between richness and elevation: drivers and interactions among drivers may vary spatially. Importantly, Natural Subregion was a stronger predictor of avian species richness than elevation per se (AICc weight = 0.96), suggesting that the responsible environmental filter(s) is relatively homogenous within ecological land classes (e.g., primary productivity) rather than directly variable with elevation (e.g., temperature). The results also lend insight into priorities for future research on richness-elevation patterns in mountain birds.
Program Affiliations
GWF: Global Water Futures
Related Research Project(s)
Related ProjectPart
GWF-MWF: Mountain Water Futures
Creators and Contributors
NameRoleEmailInstitution
Rooney, Rebecca
rrooney@uwaterloo.ca
University of Waterloo
Reynolds, Jordan
jordannhreynolds@gmail.com
University of Waterloo
Swanson, Heidi
hswanson@uwaterloo.ca
University of Waterloo
Keywords
Keyword
Biodiversity
Rocky Mountains
fen
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T-2026-09-29-i15N2tMKukES774PTDJti1EA Dataset 1.3