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Overview Research Site Access and Downloads
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
Temporal Extent
Begin Date
End Date
2019-05
2019-06
Geographic Bounding Box
West Boundary Longitude
-115.241202
East Boundary Longitude
-114.3108
North Boundary Latitude
51.262154
South Boundary Latitude
50.424225
Specific Locations (if needed)
Description of Specific LocationLatitudeLongitude
1493
51.04397032829372
-114.8773848412768
1484
51.05624146380626
-114.8703044189053
1415
51.04153139557953
-114.8080675020674
1501
50.96770621510984
-114.7070551561896
1392
50.95374560273926
-114.685947949055
1458
50.9534095347562
-114.7321739471912
1499
50.85251884106342
-114.7141107716515
1519
50.84422689223941
-114.7235065269833
1680
50.86597623695427
-114.8921638568949
1725
50.87852906297402
-114.89087595182
1767
50.88862002508037
-114.907919690916
1786
50.8981100529091
-114.912556367845
1785
50.90907844637398
-114.9223941194586
1798
50.92991517643688
-114.930788190605
1834
50.93885937618333
-114.9372598529109
1741
50.95390202175947
-114.9543536862458
1870
50.96621965462906
-114.9589644722691
1959
50.78055804703698
-115.3400088576068
1897
50.80084936710563
-115.3145034902839
1842
50.82245176520713
-115.3331047390487
1559
51.31075324215967
-115.0781582298838
1482
51.35691603551061
-114.9423765380341
1577
51.38268194288405
-115.1016937959728
1571
51.40389714336558
-115.0733724093212
Research Site Location
Map Not Available
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