Incorporating behavioral–ecological strategies in pattern-oriented modeling of caribou habitat use in a highly industrialized landscape

Semeniuk, Christina A.D.; Musiani, Marco; Hebblewhite, Mark; Grindal, Scott D.; Marceau, Danielle J.

doi:10.1016/j.ecolmodel.2012.06.004

Cited by 23 publications

(16 citation statements)

References 62 publications

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“…et al 2010), or by avoiding the area resulting in temporary habitat loss (Rabanal et al 2010). Mule deer in Wyoming were displaced by well pads with high levels of traffic (Sawyer et al 2009), while closer to our study area, caribou have been shown to avoid industrial features resulting in functional habitat loss with associated energetic costs (Dyer et al 2001;Semeniuk et al 2012). Though variable through space and time, our results add to a growing group of studies that indicate wildlife habitat selection is impacted by anthropogenic activities necessary for oil and gas extraction.…”

Section: Figurementioning

confidence: 64%

Oil and gas infrastructure and the spatial pattern of grizzly bear habitat selection in Alberta, Canada

Laberee

Nelson

Stewart

et al. 2014

Canadian Geographies / Géographies canadiennes

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Oil and gas development is increasing in areas of Alberta, Canada that are also home to threatened grizzly bear (Ursus arctos) populations. While impacts of forest disturbances on bears have been heavily studied, research on the impacts of oil and gas activities is limited. Our research goal was to test the hypothesis that grizzly bears select locations of oil and gas development randomly, using grizzly bear telemetry data collected from 2005 to 2010 in the Kakwa region of Alberta. Maps of probability of resource use by bears were generated and used to conditionally randomize telemetry data to classify bear locations as being closer, farther, or no different than expected from oil and gas features. Our results indicated that bears were generally observed closer to oil and gas features during spring. Adult males were farther than expected to all features during the summer season. During fall, adult females showed avoidance of all oil and gas features during the day, but were closer at night. Active wellsites were avoided by all bears in the fall, and roads were avoided more than pipelines. Spatial analysis and geographic information science are ideal tools for examining the influence of landscape features on wildlife.

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Section: Figurementioning

confidence: 64%

Oil and gas infrastructure and the spatial pattern of grizzly bear habitat selection in Alberta, Canada

Laberee

Nelson

Stewart

et al. 2014

Canadian Geographies / Géographies canadiennes

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“…We chose to simulate movement from first principles, rather than simply estimating probabilities of habitat use from caribou resource selection functions, because local composition and configuration of habitat have strong bearing on patterns of habitat selection by woodland caribou (McGreer et al 2015), as typically observed in other resource selection studies (Beyer et al 2010). Mechanistic movement modelling allowed us to estimate how variation in caribou fitness might be shaped by landscape configuration (Semeniuk et al 2012, 2014). Assessment of the effect of such variation is a key feature of individual‐based PVA models needed for application across multiple jurisdictions for which field data are missing or inadequate for one reason or another (Semeniuk et al 2012, 2014).…”

Section: Methodsmentioning

confidence: 99%

“…Mechanistic movement modelling allowed us to estimate how variation in caribou fitness might be shaped by landscape configuration (Semeniuk et al 2012, 2014). Assessment of the effect of such variation is a key feature of individual‐based PVA models needed for application across multiple jurisdictions for which field data are missing or inadequate for one reason or another (Semeniuk et al 2012, 2014).…”

Section: Methodsmentioning

confidence: 99%

Anthropogenic Disturbance and Population Viability of Woodland Caribou in Ontario

et al. 2020

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One of the most challenging tasks in wildlife conservation and management is to clarify how spatial variation in land cover due to anthropogenic disturbance influences wildlife demography and longterm viability. To evaluate this, we compared rates of survival and population growth by woodland caribou (Rangifer tarandus caribou) from 2 study sites in northern Ontario, Canada that differed in the degree of anthropogenic disturbance because of commercial logging and road development, resulting in differences in predation risk due to gray wolves (Canis lupus). We used an individual-based model for population viability analysis (PVA) that incorporated adaptive patterns of caribou movement in relation to predation risk and food availability to predict stochastic variation in rates of caribou survival. Field estimates of annual survival rates for adult female caribou in the unlogged (¯= x 0.90) and logged (¯= x 0.76) study sites recorded during 2010-2014 did not differ significantly (P > 0.05) from values predicted by the individual-based PVA model (unlogged:x = 0.87; logged:¯= x 0.79). Outcomes from the individual-based PVA model and a simpler stage-structured matrix model suggest that substantial differences in adult survival largely due to wolf predation are likely to lead to long-term decline of woodland caribou in the commercially logged landscape, whereas the unlogged landscape should be considerably more capable of sustaining caribou. Estimates of population growth rates (λ) for the 2010-2014 period differed little between the matrix model and the individual-based PVA model for the unlogged (matrix modelx = 1.01; individual-based modelx = 0.98) and logged landscape (matrix modelx = 0.88; individual-based modelx = 0.89). We applied the spatially explicit PVA model to assess the viability of woodland caribou across 14 woodland caribou ranges in Ontario. Outcomes of these simulations suggest that woodland caribou ranges that have experiencedThis is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. significant levels of commercial forestry activities in the past had annual growth rates <0.89, whereas caribou ranges that had not experienced commercial forestry operations had population growth rates >0.96. These differences were strongly related to regional variation in wolf densities. Our results suggest that increased wolf predation risk due to anthropogenic disturbance is of sufficient magnitude to cause appreciable risk of population decline in woodland caribou in Ontario.

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“…A statedependent behavioural approach is common when using ABMs to mimic the life history of animals on a landscape. For example, Semeniuk et al (2012) also used this approach to investigate behavioural-ecological strategies of woodland caribou (Rangifer tarandus) in Alberta, Canada using agent-based modeling. Through this energy state-dependent process, we seek to gain insight into the low-level behavioural decision-making processes that most likely influence nutcracker habitat-selection behavior.…”

Section: Basic Principlesmentioning

confidence: 99%

Energetic behavioural-strategy prioritization of Clark’s nutcrackers in whitebark pine communities: An agent-based modeling approach

McLane

Semeniuk

McDermid

et al. 2017

Ecological Modelling

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Incorporating behavioral–ecological strategies in pattern-oriented modeling of caribou habitat use in a highly industrialized landscape

Cited by 23 publications

References 62 publications

Oil and gas infrastructure and the spatial pattern of grizzly bear habitat selection in Alberta, Canada

Oil and gas infrastructure and the spatial pattern of grizzly bear habitat selection in Alberta, Canada

Anthropogenic Disturbance and Population Viability of Woodland Caribou in Ontario

Energetic behavioural-strategy prioritization of Clark’s nutcrackers in whitebark pine communities: An agent-based modeling approach

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