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We propose to synthesize and analyze existing mule deer radio telemetry data. We will build off existing research on mule deer survival and augment it with more extensive data. This will allow us to ask questions and explore hypotheses that were not possible with small and fragmented datasets. The result will be an improved ability for agencies to predict how mule deer populations will react to current conditions or proposed management alternatives. The research will be done as a collaborative effort with biologists from each participating agency closely involved in data and analysis decisions. The WAFWA Mule Deer Working Group will serve to coordinate the information transfer for this analysis.
The objectives of our research are to strengthen inference to sage-grouse population status and trend and provide biologists with support tools to implement sampling designs and population models. 1. Develop a statistical design to estimate the total number of greater sage-grouse leks at the 2. Determine sampling frequency and intensity required to meet precision and cost objectives at 3. Link sage-grouse population size estimates across time through the use of integrated 4. Develop a user-friendly, open-access software package in R that allows wildlife managers and biologists to design and analyze lek survey as well as fit Bayesian integrated population models. The software will link to LC-MAP to foster coordination...
This model was used in Camouflage mismatch in seasonal coat color due to decreased snow duration (Mills et al. 2013, PNAS). Information about this model and analysis can be found at: http://www.pnas.org/content/110/18/7360.abstract.
This model was used in Camouflage mismatch in seasonal coat color due to decreased snow duration (Mills et al. 2013, PNAS). Information about this model and analysis can be found at: http://www.pnas.org/content/110/18/7360.abstract.
We propose to synthesize and analyze existing mule deer radio telemetry data. We will build off existing research on mule deer survival and augment it with more extensive data. This will allow us to ask questions and explore hypotheses that were not possible with small and fragmented datasets. The result will be an improved ability for agencies to predict how mule deer populations will react to current conditions or proposed management alternatives. The research will be done as a collaborative effort with biologists from each participating agency closely involved in data and analysis decisions. The WAFWA Mule Deer Working Group will serve to coordinate the information transfer for this analysis.
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Abstract (from http://www.pnas.org/content/early/2013/04/10/1222724110.abstract): Most examples of seasonal mismatches in phenology span multiple trophic levels, with timing of animal reproduction, hibernation, or migration becoming detached from peak food supply. The consequences of such mismatches are difficult to link to specific future climate change scenarios because the responses across trophic levels have complex underlying climate drivers often confounded by other stressors. In contrast, seasonal coat color polyphenism creating camouflage against snow is a direct and potentially severe type of seasonal mismatch if crypsis becomes compromised by the animal being white when snow is absent. It is unknown whether...
Climate change and invasive species are major threats to native biodiversity, but few studies have examined their combined effects at large spatial and temporal scales. Using 21,917 surveys collected over 30 years, we quantified the impacts of climate change on the past and future distributions of five interacting native and invasive trout species throughout the northern Rocky Mountains, USA. We found that the occupancy of native bull trout and cutthroat trout declined by 18% and 6%, respectively, from 1993 to 2018 and was predicted to decrease by an additional 39% and 16% by 2080. However, reasons for the occupancy reductions differed markedly across species; increasing water temperature and decreasing streamflow...
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Grizzly bear (Ursus arctos) connectivity pathways delineate predicted movement routes for grizzly bears between federally designated recovery zones in and near western Montana. These raster data are the official data release for Sells et al. (2023), "Predicted connectivity pathways between grizzly bear ecosystems in Western Montana." In summary, we built on recent work by Sells et al. (2022, 2023) to simulate movements using integrated step selection functions (iSSFs) developed from GPS-collared grizzly bears (F = 46, M = 19) in the Northern Continental Divide Ecosystem (NCDE). We applied the iSSFs in a >300,000 km2 area including the NCDE, Cabinet–Yaak (CYE), Bitterroot (BE), and Greater Yellowstone (GYE) Ecosystems...
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Grizzly bear (Ursus arctos) habitat use maps delineate predicted habitat use for grizzly bears around federally designated recovery zones in and near western Montana. These raster data are the official data release for Sells et al. (2022), “Grizzly Bear Habitat Selection Across the Northern Continental Divide Ecosystem” and Sells et al. (2023), “Grizzly bear movement models predict habitat use for nearby populations.” In summary, to better understand habitat selection by grizzly bears, Sells et al. (2022) developed and validated individual-based integrated step-selection functions (iSSFs) for 65 grizzly bears monitored in the Northern Continental Divide Ecosystem (NCDE; including 19 males and 46 females). Step-selection...


    map background search result map search result map Predicted connectivity pathways between grizzly bear ecosystems in Western Montana: spatial data Predicted grizzly bear habitat use in Western Montana: spatial data Predicted connectivity pathways between grizzly bear ecosystems in Western Montana: spatial data Predicted grizzly bear habitat use in Western Montana: spatial data