This dataset represents a climate-informed management alternative for maintaining whitebark pine (Pinus albicaulis) in the Greater Yellowstone Ecosystem. This data was developed for use in a landscape simulation modeling study aimed at evaluating how well alternative management strategies maintain whitebark pine populations under historical climate and future climate conditions. For the study, we developed three spatial management alternatives for whitebark pine in the Greater Yellowstone Ecosystem representing no active management, current management, and climate-informed management. These management alternatives were implemented in the simulaton model FireBGCv2 under historical climate and three future climate change scenarios - the HadGEM-ES, CESM1-CAM5, and CNRM-CM5 Global Circulation Models under the RCP 8.5 emissions scenario. We worked with the Greater Yellowstone Coordinating Committee's (GYCC) Whitebark Pine Subcommittee to develop this spatial representation of their current management strategy. The treatments mapped represent a set of the treatments recommended in the GYCC Whitebark Pine 2011 Strategy document and include planting blister-rust resistant whitebark pine seedlings, competition removal thinning, wildland fire use and prescribed fire, and protection from mountain pine beetles using verbenone and carbaryl. We used historical and future projections of climate suitability based on species distribution models for whitebark pine (Chang et al. 2014) to map zones of core, deteriorating, and future whitebark pine habitat. Core zones were those areas that are currently suitable for whitebark and remain suitable in the future. Deteriorating zones were where the climatic conditions for whitebark pine are expected to decline. Future zones were areas that are projected to become newly suitable for whitebark pine. We then overlaid our climate zones for whitebark pine with similar projections of future climate suitability for all of whitebark pine’s competitors - Engelmann spruce, subalpine fir, lodgepole pine, and Douglas-fir (Piekielek et al. 2015. We discussed the different combinations of climate suitability zones (core, deteriorating, future) and potential future level of competition (low or high) from other species with the GYCC Whitebark Pine Subcommittee to determine which management activities should be prioritized within each management zone. The result is a map of management zones where different activities are prioritized to meet the goal of maintaining whitebark pine populations. This was used to determine which treatments would be implemented spatially during the simulation modeling, dependent upon additional criteria related to simulated stand-level conditions.

This dataset represents current management alternatives for maintaining whitebark pine (Pinus albicaulis) in the Greater Yellowstone Ecosystem. This data was developed for use in a landscape simulation modeling study aimed at evaluating how well alternative management strategies maintain whitebark pine populations under historical climate and future climate conditions. For the study, we developed three spatial management alternatives for whitebark pine in the Greater Yellowstone Ecosystem representing no active management, current management, and climate-informed management. These management alternatives were implemented in the simulaton model FireBGCv2 under historical climate and three future climate change scenarios - the HadGEM-ES, CESM1-CAM5, and CNRM-CM5 Global Circulation Models under the RCP 8.5 emissions scenario. We worked with the Greater Yellowstone Coordinating Committee's (GYCC) Whitebark Pine Subcommittee to develop this spatial representation of their current management strategy. The treatments mapped represent a set of the treatments recommended in the GYCC Whitebark Pine 2011 Strategy document and include planting blister-rust resistant whitebark pine seedlings, competition removal thinning, wildland fire use and prescribed fire, and protection from mountain pine beetles using verbenone and carbaryl. For the current management strategy, we relied on differences in land allocation classes and proximity to roads and trails to determine where treatments would occur. Land allocations were derived from a federal land ownership layer (https://catalog.data.gov/harvest/object/6bec8d3c-fff4-4037-8028-9b1d7ff64814/html/original). We mapped the proximity to roads/trails by buffering all roads/trails as mapped by the GYCC Whitebark Pine Subcommittee.The types of treatments that can be implemented in the current strategy are constrained by access, logistics, and management constraints among different jurisdictions. Through discussions with the GYCC Whitebark pine Subcommittee we mapped available treatments based on land allocation and proximity to roads in the following zones: Zone 1: Multiple use forest (non-Wilderness & inventoried roadless areas on USFS/BLM lands) farther than 1-mile from roads/trails. Available treatments: thinning, prescribed fire, wildland use fire, 80% fire suppression. Zone 2: Multiple use forest (non-Wilderness & inventoried roadless areas on USFS/BLM lands) within 1-mile from roads/trails. Available treatments: planting, thinning, prescribed fire, wildland use fire, 80% fire suppression. Zone 3: NPS non-wilderness lands farther than 1 mile from roads/trails. Available treatments: thinning, prescribed fire, wildland use fire, 20% fire suppression. Zone 4: NPS, non-wilderness lands within 1 mile from roads/trails. Available treatments: planting, thinning, prescribed fire, wildland use fire, 20% fire suppression. Zone 5: Non-federal lands (private, state, Native American lands, but we do include USFWS lands here). Available treatments: none, full fire suppression. Zone 6: Wilderness lands (designated, proposed and wilderness study areas) administered by NPS. Available treatments: wildland fire use, 20% fire suppression Zone 7: Wilderness lands (designated, proposed and wilderness study areas) administered by USFS/BLM. Available treatments: wildland fire use, 20% fire suppression

Project Overview   Infectious disease poses a growing threat to wildlife and human health, and managing disease threats is complicated by climatic changes that can change levels of disease risk. Researchers supported by this North Central CASC project will co-develop a method to rank wildlife disease threats under climate change, providing critical useable information to Montana’s wildlife managers. This information will be used to proactively manage infectious wildlife diseases and will be integrated into management planning documents, like the State Wildlife Action Plan. Project Summary   Infectious disease is a pressing concern for wildlife conservation and human health. Natural resource managers face a wide range of potential disease threats, but often have little information about effective management strategies or about various levels of potential risk. Climate change further complicates this challenge by rapidly shifting disease risk and introducing new threats. To prioritize limited resources, managers need clear, accessible information on how climate impacts wildlife diseases. Stakeholders in the North Central region (including partners at Montana Fish, Wildlife & Parks) have communicated this need for a better understanding of climate change impacts on wildlife disease and have requested scientific support to help compile and integrate this information into key management documents like State Wildlife Action Plans. This project seeks to co-develop an approach to rank wildlife disease threats under climate change and apply this approach to identify high-priority threats for imperiled wildlife and aquatic species in Montana. The approach will combine existing scientific research with strong user engagement. A major outcome of the project will be integrating climate and disease information into Montana’s revised State Wildlife Action Plan, enabling the state to receive funding for and take on-the-ground actions targeting infectious disease impacts on wildlife. Understanding future disease threats under climate change is critical for implementing proactive management strategies that effectively limit disease spread. This project will also generate broadly relevant information on the management of novel disease threats under a changing climate, helping to better integrate disease management into climate adaptation science.

Project Overview The iconic grizzly bear of the Greater Yellowstone Ecosystem has exhibited a remarkable recovery in response to concerted conservation actions implemented since its listing as threatened under the Endangered Species Act in 1975. However, information regarding the potential effects and timing of climate change in conjunction with increasing human recreation and development will be important for future management of this population. Investigating these potential impacts and providing manager with a range of actionable options to mitigate their effects is the goal of this study. Researchers supported by this North Central project will use grizzly bear demographic and climate data to collaboratively develop an adaptive decision framework with park managers to evaluate demographic response of grizzly bears under different climate and human use scenarios. The decision framework can be adapted to other species and ecosystems and used by resource managers to mitigate the impacts of climate change on wildlife in the region. Project Summary The Greater Yellowstone Ecosystem is home to most of North America's large mammal species, but climate change, continued land development, and other human activities may threaten the diverse wildlife in the ecosystem. Among the region’s iconic species, the grizzly bear draws visitors from across the globe. Grizzly bears in the lower 48 states are listed as Threatened under the Endangered Species Act, and they live a long time and reproduce slowly, which make populations especially vulnerable to even small changes in demographic rates prompted by changes in habitat and food resources, human activities, and climate change. Understanding how these factors influence grizzly bears is necessary to mitigate impacts to the viability of this species for the enjoyment, education, and inspiration of current and future generations. The ultimate goal of this project is to develop “Best Management Practices” that will optimize the future viability of grizzly bears as they respond to a rapidly changing ecosystem. Three national park units in the region (Yellowstone, Grand Teton, and the John D. Rockefeller, Jr. Memorial Parkway) serve as important refugia for grizzly bears and other wildlife. This project will inform resource management decisions across the three national parks for this iconic species by developing an adaptive decision framework built from extensive grizzly bear population data and climate assessments. This approach will allow the project team to predict future scenarios and identify potential population tipping points.   Multiple workshops with managers will be held to review scientific findings and co-produce the decision analysis, which will be transferable to other species, ecosystems, and resource management agencies. The output from this project can be used by National Park Service and other resource managers to address potential climate change and human impacts on iconic wildlife populations of this ecosystem.

Project Overview Climate change and human activities are threatening many sensitive aquatic species in prairie streams across the Great Plains region. Researchers supported by this North Central CASC project will combine and analyze data collected independently by Great Plains states to identify thresholds of environmental change that may lead to species loss and changes in aquatic communities. This information can guide managers in deciding whether to resist, accept, or direct change in these ecosystems to protect organisms and ecosystem services. Project Summary Prairie streams provide economic, recreational, and municipal services for human society and critical habitat for aquatic organisms including fish, crayfish, and mussels. However, environmental conditions in and around these streams have been significantly altered by landcover conversion, road and dam construction, and climate change. Many organisms in streams are sensitive to these environmental changes, which often dictate where and when they can successfully survive. Yet, across the Great Plains, there is limited knowledge about thresholds in environmental conditions that cause some organisms to disappear from local habitat. This research team will work with managers and conservation practitioners across Great Plains states to predict the level of environmental change that leads to changes in species composition across the region. Independent data collection efforts (stream monitoring data and data of aquatic species’ assemblages) across states in the Great Plains will be combined, analyzed, and summarized to identify these thresholds of environmental change and estimate the overall health of streams in prairie ecosystems. Not all prairie stream organisms will be able to track their ideal environmental conditions, so on-the-ground management actions will be needed to promote the persistence of some species. Results from this project will provide essential data to guide management and decision-making on where and when to implement actions to deal with climate and human-induced shifts in the presence and composition of aquatic organisms.

Project Overview: Native Yellowstone cutthroat trout and mountain whitefish in the Greater Yellowstone Ecosystem (GYA) are ecologically and socio-economically important species, but are threatened by drought, rising water temperatures, habitat loss, and non-native species. Researchers supported by this North Central CASC project will use climate data and extensive population records to assess the various threats to the species and to create a data visualization tool to help managers prioritize conservation actions for these vulnerable and valuable fish populations. Project Summary: In the Greater Yellowstone Area (GYA), drought, rising water temperatures, habitat loss, and non-native species are threatening the persistence of native fishes, including trout and whitefish. These fishes have enormous ecological and socioeconomic value. Recreationally, for example, hundreds of millions of dollars are spent by tourists each year to fish for these species. Understanding the vulnerability of these populations to interacting climate-related threats is critical for informing management decisions. Researchers supported by this project will use extensive records (from over 10,000 sites) collected by multiple management agencies and project partners, and climate data across the GYA to: (1) determine the effect of multiple threats on populations of native Yellowstone cutthroat trout and mountain whitefish; (2) identify the vulnerability of populations to climate change; and (3) use this information to help resource managers identify and prioritize actions that will benefit native fishes, and to identify locations where taking action would be most beneficial. Results from this project will be incorporated into the RAD (Resist-Accept-Direct) decision framework and distributed to managers through a series of workshops. The workshops will also allow the managers to help the project team build a public data visualization tool that best suits their needs. The tool will compile data and modeling results from the project and display current and future vulnerabilities of fish populations to threats at local and regional spatial scales. These products will help managers make informed decisions about how to best allocate limited time and money towards conservation of Yellowstone cutthroat trout and mountain whitefish.

Project Overview Migratory big game species, like mule deer, are at risk due to human development and more frequent drought events that can limit access to food resources during migration. To address this, researchers supported by this North Central CASC project will collaborate with State, Tribal, and Federal agencies to examine the effectiveness of corridor conservation as a strategy to improve drought resilience for over 40 mule deer herds across Western states. Ultimately, results from this project will benefit ongoing conservation efforts by identifying what levels of development impacts the species’ ability to deal with drought. Project Summary Every year, migratory big game move across landscapes to seek out important food resources and to avoid harsh weather. Yet, the landscapes animals move through are experiencing rapid changes from human development and shifting climatic conditions, which put these ecologically and culturally important migrations at risk. Mule deer, for example, are negatively impacted by drought, which changes when and where key food resources will be available along their migration route. To conserve big game migrations, State, Tribal, and Federal agencies are working together to map and protect migration corridors. Although it is often assumed that corridor conservation should enhance the resilience of migrants to climate change, the idea remains poorly tested. This project will examine the effectiveness of corridor conservation as a drought resiliency strategy for mule deer across the West. As climate change leads to more frequent and longer drought events, it will likely become even more important for deer to freely move and access critical and limited food resources during migrations. At the same time, mule deer movements are altered by human disturbances, which can cause deer to miss out on foraging opportunities. This project will bring together data and partnerships to investigate these two threats on more than 40 mule deer herds across the West, with the aim of understanding the importance of freedom of movement in the survival and resiliency of mule deer in a changing world. Results from this project will identify the amount of human development that constrains the movements of mule deer and the impacts of diminished mobility on drought resiliency. This research links two USGS priorities – conserving big game migrations and enhancing climate resiliency – while filling important knowledge gaps needed to strategically target ongoing conservation efforts.

Project Overview Prairie dog colonies in North America’s Central Grasslands undergo cycles of collapse and recovery caused by the non-native sylvatic plague, and each phase of the cycle negatively affects wildlife or livestock. Researchers supported by this North Central-CASC project will develop a decision-support web tool for users to predict prairie dog colony dynamics under changing climatic conditions to help optimize management strategies of wildlife and cattle. Project Summary Prairie dogs are crucial to North America’s Central Grasslands, creating habitat for other wildlife by digging burrows and clipping vegetation, and serving as a key food source for many predators. However, the sylvatic plague, a non-native disease with over 99% mortality in prairie dogs leads to sudden population die-offs followed by several years of recovery. While wildlife that depend on prairie dogs for food and habitat are negatively affected when populations collapse, the recovery period can cause conflicts with livestock producers, as prairie dogs decrease the available vegetation for grazing cattle. Researchers supported by this project will create an interactive web-based tool that can be used by managers and stakeholders for decision support, as the tool predicts where and when prairie dog colony growth and collapses are likely to occur under changing climatic conditions. This should allow managers to strategically reduce the likelihood of undesirable outcomes for wildlife and livestock. Additionally, the interactive tool will help users determine the best management approaches to achieve their specific goals and will evaluate different management strategies with a cost analysis assessment. This project will involve a diverse group of stakeholders from state and federal agencies, non-governmental organizations, and Tribal Nations to co-produce the tool. A decision support tool is much needed to facilitate co-existence of the prairie dog ecosystem with local communities and livestock producers, especially under an increasingly uncertain and changing climate.

As climate change looms large, the Aaniiihnen and Nakoda people of the Fort Belknap Indian Community are undertaking a climate change impact assessment in the Little Rocky Mountains to better prepare for the future. This mountain range is home to numerous food and medicinal species of cultural importance. It is critical to understand how climate change has affected and will affect availability of these species and the cultural implications for the Tribe in order to enhance food sovereignty and cultural resiliency, improve tribal health, and maintain local biodiversity.   The project will assess the presence and distribution of valued species including subalpine fir, juneberry, chokecherry, and others, while engaging the community in discussions around access and community needs. Adopting a holistic approach to climate change assessment, traditional ecological knowledge and the cultural implications of climate change will be an integral and innovative aspect of the project. Community meetings, elder interviews, and youth engagement sessions will contribute to understanding the interconnected issues of protecting significant species and culture in their full complexity. Scenarios of future climate change impacts on the plant species and the community will be explored to inform planning and management decisions and the Fort Belknap Indian Community Climate Adaptation Plan. 

Surface-water availability has been identified as one of the biggest issues facing society in the 21st century. Where and when water is on the landscape can have profound impacts on the economy, wildlife behavior, recreational use, industrial practices, energy development, and many other aspects of life, society, and the environment. Projections indicate that surface-water availability will be generally reduced in the future because of multiple factors including climate change, increased drought frequency and severity, and altered water and land use. Thus, it is important resource managers understand which areas are most vulnerable to reduced water availability impacts, and to what extent current conditions may change.   This project aims to create an index, the Surface-Water Index of Permanence (SWIPe), to determine when and where surface water will remain permanent on the landscape. It will build on previous work looking at streamflow permanence (using the USGS PROSPER model), surface-water inundation extent (using the USGS DSWE model), and wetland extents and permanence (using remotely sensed vegetation characteristics). Outcomes of this work will deliver crucial information on where surface water is most likely to be reduced under drought conditions.   The research team will also work with partners to develop index outputs that are useful for exploring current and potential future surface-water availability characteristics and how they might affect bison behavior. This information linking surface-water permanence with wildlife behavior will be critical to improving the ability to mitigate the potential effects of reduced surface-water availability for wildlife and humans.