2016
DOI: 10.5751/ace-00916-110210
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Regional habitat needs of a nationally listed species, Canada Warbler (Cardellina canadensis), in Alberta, Canada

Abstract: ABSTRACT. Understanding factors that affect the distribution and abundance of species is critical to developing effective management plans for conservation. Our goal was to quantify the distribution and abundance of Canada Warbler (Cardellina canadensis), a threatened old-forest associate in Alberta, Canada. The Canada Warbler has declined across its range, including in Alberta where habitat loss and alteration from urban expansion, forestry, and energy development are changing the forest landscape. We used 11… Show more

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Cited by 27 publications
(36 citation statements)
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“…For these species in Canada, there are two national-scale SDMs that predict population density at a resolution of 1 km x 1 km (Haché et al 2014, Stralberg et al 2015a). There are two regional scale SDMs, with one predicting population density in Alberta at 1 km x 1 km resolution (Canada Warbler only;Ball et al 2016) and one predicting species occurrence in Nova Scotia at 150 m x 150 m resolution (Bale 2017). Although these are valuable for understanding provincial and national habitat associations and distributions, they are either (1) too coarse for management planning within national parks, or (2) lack complete coverage of maritime parks.…”
Section: Modeling Species Associated With Wet Forest Habitatsmentioning
confidence: 99%
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“…For these species in Canada, there are two national-scale SDMs that predict population density at a resolution of 1 km x 1 km (Haché et al 2014, Stralberg et al 2015a). There are two regional scale SDMs, with one predicting population density in Alberta at 1 km x 1 km resolution (Canada Warbler only;Ball et al 2016) and one predicting species occurrence in Nova Scotia at 150 m x 150 m resolution (Bale 2017). Although these are valuable for understanding provincial and national habitat associations and distributions, they are either (1) too coarse for management planning within national parks, or (2) lack complete coverage of maritime parks.…”
Section: Modeling Species Associated With Wet Forest Habitatsmentioning
confidence: 99%
“…Specifically, avian data are standardized to control for the effects of survey protocols on detectability of each species, based on time of day, time of year, duration and radius of survey, and surrounding landcover types (Matsuoka et al 2012, Sólymos et al 2013. These standardized avian population density data have been used to predict range dynamics of passerines (Stralberg et al 2017), climate change impacts on passerines (Stralberg et al 2015a, b), regional population trends for species occurring in spruce-fir forests (Ralston et al 2015), and Canada Warbler habitat needs in Alberta (Ball et al 2016). In our study area, the BAM project included 15,021 locations in which point counts were conducted between 1996 and 2013.…”
Section: Avian Datasetmentioning
confidence: 99%
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“…Inevitably, different researchers will understand and model the ecology of species differently. Further, one should be acutely aware that the habitat of a given species may vary geographically and, to some extent, through time, especially given climate change (e.g., Ball et al., ; Wiens, Rotenberry, & Van Horne, ); thus findings from different years or different areas may provide different (but equally valid) results. According to Mathewson and Morrison (), to accurately denote a species’ habitat, one must obtain demographic information on vital rates and long‐term persistence in space and time to determine habitat quality.…”
Section: Discussionmentioning
confidence: 99%
“…Sustainable forest management planning requires predictive models of species' responses to these changes (Rudd et al, 2011;Vernier, Schmiegelow, Hannon, & Cumming, 2008). Such models have been developed independently for regions within boreal Canada (e.g., Ball et al, 2016;Rempel et al, 2007;Vernier et al, 2008). However, population-level management requires more spatially extensive models.…”
Section: Introductionmentioning
confidence: 99%