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- W4309193722 abstract "Oil and gas activity is increasing in the western boreal forest of North America. To manage cumulative effects of this industry, a better quantification of footprint effects on wildlife is needed. We used point-count surveys to evaluate how well footprint amounts within 150 m, and proximity to seismic lines, pipelines, well sites, roads, and energy facilities predicted the abundance of 48 bird species. We developed models for each species, evaluating the best functional forms for different footprint effects, then predicted how different model structures influenced estimates of regional population size. Most species exhibited at least one nonlinear response to footprint amount (79% of species) or distance (88%). Species associated with older coniferous forests decreased more often with increased footprint amount and closer proximity to footprint, while species associated with open lands and young forests increased with greater footprint and closer proximity. In one-third of species, bird abundance versus distance changed from a positive to negative relationship (or reverse) at a threshold distance from at least one footprint. Models based on footprint proximity had better fit than those based on footprint amount for 29 of 48 species, but both model types produced similar population estimates. Both footprint amount and proximity models were useful for assessing cumulative effects on wildlife and mechanisms causing change. Models of distance to footprint can provide evidence of positive or negative edge effects for developing management buffers. Models of footprint amount provide important information on functional changes in habitat." @default.
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- W4309193722 date "2022-11-16" @default.
- W4309193722 modified "2023-09-29" @default.
- W4309193722 title "Comparing alternative methods of modelling cumulative effects of oil and gas footprint on boreal bird abundance" @default.
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- W4309193722 doi "https://doi.org/10.1007/s10980-022-01531-8" @default.
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