Annual index results for Prairie Potholes (BCR 11)

Annual index graph for: Olive-sided Flycatcher

Note: the range of the vertical axis has been scaled to highlight pattern in the annual indices. If estimates are imprecise, the graph may not include the upper credible limits.

View definitions of the annual index table columns.

Annual indices for Olive-sided Flycatcher in Prairie Potholes (BCR 11)
Year Annual index Lower limit Upper limit
2011 0.0107 0.00215 0.0231
2012 0.00827 0.0016 0.0173
2013 0.00768 0.00114 0.0166
2014 0.0118 0.00273 0.0276
2015 0.00736 0.0012 0.0155
2016 0.00724 0.000704 0.0161
2017 0.00928 0.00135 0.0223
2018 0.00665 0.00108 0.0158
2019 0.0068 0.000611 0.0155
2020 0.00739 0.000522 0.0188
2021 0.00643 0.000716 0.0145

Geographic area included in the Short-term trend for the Olive-sided Flycatcher

Map displaying regions covered by analysis of species: Olive-sided Flycatcher
      Coloured = Regions (analytical strata) included in trend estimate. The colour of the region reflects the approximate population trend in the region. The categories of trends based on the %/year values are indicated in the legend on the right, and the specific values can be found by searching on the analytical stratum trends for the same time-period and species.
      White = Regions not included in trend estimate

Bird Conservation Regions (BCR) with data included in Short-term trend estimates for Prairie Potholes (BCR 11)

This web site may be cited as: Smith, A.C., Hudson, M-A.R. Aponte, V.I., English, W.B., and Francis, C.M. 2023. North American Breeding Bird Survey - Canadian Trends Website, Data-version 2021. Environment and Climate Change Canada, Gatineau, Quebec, K1A 0H3

Any use of these BBS results for Canada should acknowledge the hundreds of skilled volunteers in Canada who have participated in the BBS over the years and those who have served as provincial or territorial coordinators for the BBS.

  1. Smith, A. C., & Edwards, B. P. M. (2020). North American Breeding Bird Survey status and trend estimates to inform a wide range of conservation needs, using a flexible Bayesian hierarchical generalized additive model. The Condor, duaa065. https://doi.org/10.1093/ornithapp/duaa065
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