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Folders: ROOT > ScienceBase Catalog > National and Regional Climate Adaptation Science Centers > North Central CASC > FY 2015 Projects ( Show direct descendants )

Location Folder Show Tree ROOT _ScienceBase Catalog __National and Regional Climate Adaptation Science Centers ___North Central CASC ____FY 2015 Projects Forecasting Future Changes in Sagebrush Distribution and Abundance Informing Adaptation Strategies for Maintaining Landscape Connectivity for Northern Rockies Wildlife Informing the Identification of Economically Effective Targets for Grassland Conservation in the Dakotas Model-Based Scenario Planning to Inform Climate Change Adaptation in the Northern Great Plains The Wind River Indian Reservation’s Vulnerability to the Impacts of Drought and the Development of Decision Tools to Support Drought Preparedness Filters Date Range Past year (0) Past month (0) Past week (0) Past day (0) Custom range... To   Search Extensions Citation (2) Types Citation (3) Contacts Amy Symstad Nicholas A. Fisichelli Brian W Miller Leonardo Frid Jonathan M Friedman More... Categories Publication (2) Data (1) Tag Types Theme (2) Place (1) Organization (3) Science Themes (3) Science Tools For Managers (3) Label (1) USGS Scientific Topic Keyword (1) More... Tag Schemes None (1) https://www.sciencebase.gov/vocab/category/NCCWSC/Project/OrganizationName (3) https://www.sciencebase.gov/vocab/category/NCCWSC/ScienceThemes (3) https://www.sciencebase.gov/vocab/category/NCCWSC/ScienceToolsforManagers (3) View Results as: JSON ATOM CSV Browse Folder

State-and-transition simulation model of rangeland vegetation in southwest South Dakota (1969-2050) This is a spatially-explicit state-and-transition simulation model of rangeland vegetation dynamics in southwest South Dakota. It was co-designed with resource management partners to support scenario planning for climate change adaptation. The study site encompasses part of multiple jurisdictions, including Badlands National Park, Buffalo Gap National Grasslands, and Pine Ridge Indian Reservation. The model represents key vegetation types, grazing, exotic plants, fire, and the effects of climate and management on rangeland productivity and composition (i.e., distribution of ecological community phases). See Miller et al. (2017) for further details. The model was built using the ST-Sim software platform (www.apexrms.com/stsm).... Categories: Data; Types: Citation; Tags: Badlands National Park, Bison, Buffalo Gap National Grassland, Cattle, Climate change, All tags... Climatology, Data Visualization & Tools, Fire, Grazing, Invasive species, Land Use Change, Livestock, North Central CASC, Northern Great Plains, Scenario planning, Science Tools for Managers, South Dakota, State-and-transition simulation model, USGS Science Data Catalog (SDC), Fewer tags Co-producing simulation models to inform resource management: a case study from southwest South Dakota Categories: Publication; Types: Citation; Tags: Data Visualization & Tools, North Central CASC, Science Tools for Managers Final Report: Model-Based Scenario Planning to Inform Climate Change Adaptation in the Northern Great Plains We worked with managers in two focal areas to plan for the uncertain future by integrating quantitative climate change scenarios and simulation modeling into scenario planning exercises. In our central North Dakota focal area, centered on Knife River Indian Villages National Historic Site, managers are concerned about how changes in flood severity and growing conditions for native and invasive plants may affect archaeological resources and cultural landscapes associated with the Knife and Missouri Rivers. Climate projections and hydrological modeling based on those projections indicate plausible changes in spring and summer soil moisture ranging from a 7 percent decrease to a 13 percent increase and maximum winter... Categories: Publication; Types: Citation; Tags: Data Visualization & Tools, North Central CASC, North Central CASC, Northern Great Plains, Report: Report, All tags... Scenario Planning, Science Tools for Managers, simulation modeling, Fewer tags