The goal of this project is to identify climate-related scientific information needs in the North Central region that will support the management of key species and help avoid species declines. Researchers will work closely with state fish and wildlife agencies, the U.S. Fish and Wildlife Service, tribes, and other relevant natural resource management and conservation agencies to identify priority information needs and to design and implement studies that will address these needs.
 

Researchers with the North Central Climate Science Center have made substantial progress in assessing the impacts of climate and land use change on wildlife and ecosystems across the region. Building on this progress, researchers will work with stakeholders to identify adaptation strategies and inform resource management in the areas that will be most affected by changing conditions.
 

In the North Central U.S., the rate and extent of changing climate conditions has been increasing in recent decades. These changes include shifting precipitation patterns, warming temperatures, and more frequent extreme events, such as droughts and floods. As these changes occur, managers face different challenges and have different needs, depending on the resources they manage.

In the North Central U.S., drought is a dominant driver of ecological, economic, and social stress. Drought conditions have occurred in the region due to lower precipitation, extended periods of high temperatures and evaporative demand, or a combination of these factors. This project will continue ongoing efforts to identify and address climate science challenges related to drought, climate extremes, and the water cycle that are important for natural resource managers and scientists in the North Central region, to support adaptation planning.
 

One of the biggest challenges facing resource managers today is not knowing exactly when, where, or how climate change effects will unfold. In order to plan for this uncertain future, managers have begun to use a tool known as scenario planning, in which climate models are used to identify different plausible climate conditions, known as “scenarios”, for a particular area.
 

Article for outlet: Plant Ecology. Abstract: Big sagebrush (Artemisia tridentata Nutt.) plant communities are widespread non-forested drylands in western North American and similar to all shrub steppe ecosystems world-wide are composed of a shrub overstory layer and a forb and graminoid understory layer. Forbs account for the majority of plant species diversity in big sagebrush plant communities and are important for ecosystem function.

Scenario planning helps managers incorporate climate change into their natural resource decision making through a structured “what-if” process of identifying key uncertainties and potential impacts and responses. Although qualitative scenarios, in which ecosystem responses to climate change are derived via expert opinion, often suffice for managers to begin addressing climate change in their planning, this approach may face limits in resolving the responses of complex systems to altered climate conditions.

This dataset provides downscaled climate projections at 800m spatial resolution for nine ecologically-relevant climate variables for the north central US region between 35.5N-49N latitude and 88W-118W longitude from 12 Coupled Model Intercomparison Project - Phase 5 (CMIP5) climate model simulations (6GCMs x 2RCPs) which are downscaled using the Multivariate Adaptive Constructed Analog (MACA) method. These projections are available as five different (approximately) 30-year climate normals between 1950 and 2099 as monthly values, except for Aridity Index which are annual values.

Water management planners and researchers throughout the world rely on hydrological models to forecast and simulate streamflow hydrology and hydrological events. These simulations are used to inform water management, municipal planning, and ecosystem conservation decisions, as well as to investigate potential effects of climate and land-use change on hydrology. 

Locating meadow study sitesMeadow centers as recorded in the ‘Copy of sitecords_areaelev from Caruthers thesis.xls’ file delivered by Debinski in November 2012 were matched to polygons as recorded in files ‘teton97map_area.shp’ and ‘gallatin97map_area.shp’ both also delivered by Debinski in November 2012.In cases where the meadow center did not fall within a meadow polygon, if there was a meadow polygon of the same meadow TYPE nearby (judgment was used here), the meadow center was matched with the meadow polygon of same meadow TYPE.