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Contains source data related to Grizzly bears.
Grizzly Bear Occupancy Model
point observations of WSCT
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The purpose of this project was to develop a spatially explicit occupancy model for grizzly bears across the full extent of the CCE. The landscape occupancy model was created using ecological variables compiled for the CCE by the CMP and grizzly bear detection data provided by our partners in Alberta, British Columbia, and Montana. Our work identifies landscape-scale factors that influence grizzly bear occupancy and compliments other fine-scale modeling activities occurring elsewhere in the CCE.
primary and secondary habitat zones for grizzly bears; comes from grizzly recovery plan - helps us see what the priority is - more coarse than the RSF - more of a range map than anything -
Enhancing the efficiency, sustainability, and safety of Alberta’s highways by systematically identifying priority road sections for mitigation measures to improve wildlife movement and reduce Animal Vehicle Collisions. This layer is part of a coupled AEP-AT decision support tool was developed that incorporates wildlife issues into future road development and highway upgrade projects, and links transportation planning into Alberta’s land use planning process. Based on RSF models developed by Nielsen, 2007, averaged between three seasons. Focal nodes developed using security areas we developed from AMBI Wall-to-wall Land Cover Inventory (2010) and Wall-to-Wall Human Footprint Inventory (2014). Contact Miistakis Institute...
baited hair snag station results with bear visits
MaxEnt derived suitability model
The grizzly bear (Ursus arctos) was listed as a threatened species in the United States in 1975. Grizzly bear recovery across the range has since been guided by the Grizzly Bear Recovery Plan (USFWS 1993) and within Washington State by the North Cascades Grizzly Bear Recovery Area plan (USFWS 1997). The North Cascades Ecosystem extends north into British Columbia and includes the North Cascades Grizzly Bear Population Unit (Apps 2010, BCME 2010). The entire North Cascades ecosystem is within the boundaries of the Cascadia Partner Forum landscape. The Cascadia Partner forum was formed to foster communication among a network of natural resource practitioners working with the Landscape Conservation Cooperatives in...
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Conservation of grizzly bears (Ursus arctos) is often controversial and the disagreement often is focused on the estimates of density used to calculate allowable kill. Many recent estimates of grizzly bear density are now available but field-based estimates will never be available for more than a small portion of hunted populations. Current methods of predicting density in areas of management interest are subjective and untested. Objective methods have been proposed, but these statistical models are so dependent on results from individual study areas that the models do not generalize well. We built regression models to relate grizzly bear density to ultimate measures of ecosystem productivity and mortality for interior...
Inductive Model Goal: To predict the current distribution and relative suitability of general year-round habitat for Grizzly Bear at large spatial scales across its presumed current range in Montana. Inductive Model Performance: The model appears to adequately reflect the current distribution and relative suitability of general year-round habitat for Grizzly Bear at larger spatial scales across its presumed current range in Montana. Evaluation metrics indicate an acceptable model fit and the delineation of habitat suitability classes is well supported by the data. Inductive Model Output: http://mtnhp.org/models/files/Grizzly_Bear_AMAJB01020_20210120_modelHex.lpk Deductive Model Goal: To represent the ecological...
Field observation of grizzly bears submitted by public to Montana Natural Heritage Program. Source: Grizzly Bear — Ursus arctos. Montana Field Guide. Montana Natural Heritage Program and Montana Fish, Wildlife and Parks.
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Conserving grizzly bear populations is a significant challenge for wildlife managers throughout North America. Much fruitful research has been conducted on the biology of grizzlies, but the human dimensions of bear management remain poorly understood. This imbalance has created conflicts between management agencies and local inhabitants that can jeopardize ecosystem management and planning programs in which grizzlies often feature as key components. Broadly, the goal of this study was to understand how and why such conflicts occur. Qualitative data analysis methods and the policy sciences' interdisciplinary problem analysis framework, along with insights from adaptive governance and co-management concepts, resilience...
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The purpose of this project was to develop a spatially explicit occupancy model for grizzly bears across the full extent of the CCE. The landscape occupancy model was created using ecological variables compiled for the CCE by the CMP and grizzly bear detection data provided by our partners in Alberta, British Columbia, and Montana.
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Fragmentation is a growing threat to wildlife worldwide and managers need solutions to reverseits impacts on species’ populations. Populations of grizzly bears (Ursus arctos), often considered an umbrellaand focal species for largemammal conservation, are fragmented by human settlement and major highways inthe trans-border region of southern British Columbia, northern Montana, Idaho, and northeasternWashington. To improve prospects for bear movement among 5 small fragmented grizzly bearsubpopulations, we asked 2 inter-related questions: Are there preferred linkage habitats for grizzly bearsacross settled valleys with major highways in the fragmented trans-border region, and if so, could we predictthem using a combination...
map background search result map search result map Grizzly Bear/Wolverine Management - DSQ BC Grizzly Bear Population Units Grizzly Bear Connectivity Mapping in the Canada–United States Trans-Border Region Grizzly Bear Occupancy Model, Relative probability of occupancy in the Crown of the Continent Ecosystem GRIZZLY BEAR HABITAT SELECTION IS SCALE DEPENDENT Predicting Grizzly Bear Density in Western North America Local and regional-scale societal dynamics in grizzly bear conservation Local and regional-scale societal dynamics in grizzly bear conservation Grizzly Bear/Wolverine Management - DSQ Grizzly Bear Connectivity Mapping in the Canada–United States Trans-Border Region Grizzly Bear Occupancy Model, Relative probability of occupancy in the Crown of the Continent Ecosystem GRIZZLY BEAR HABITAT SELECTION IS SCALE DEPENDENT Predicting Grizzly Bear Density in Western North America BC Grizzly Bear Population Units