Climate affects both the demographics of the Greater sage-grouse bird and the condition and long-term viability of their habitats, including sage-steppe communities. This project builds on collaboration among federal land managers, state wildlife biologists, scientists, and other organizations to create a long-term framework for implementing adaptive management for the sage-grouse. The study examined factors that might be limiting grouse numbers and will investigate components of weather patterns in relation to projected climate change models. Precipitation and temperature, as well as variables such as evaporation and soil moisture, will be considered. Overall, the project focused on (1) providing workshops to foster collaboration and interpretation of climate information, (2) developing a sage-steppe habitat map, and (3) suggesting recommendations for an adaptive management framework. 

Climate scientists need more and better information about the needs of decision-makers and managers, while decision-makers need better information about how a changing climate may affect their management and conservation objectives. The goal of this project was to build connections between the Plains and Prairie Potholes Landscape Conservation Cooperative (PPP-LCC), the North Central Climate Science Center (NC CSC), and the National Oceanic and Atmospheric Administration (NOAA) Climate Prediction and Projection Pilot Platform (NCPP) to facilitate a link between the users and producers of climate information, as well as to identify gaps between available and desired data. This project developed a conceptual model of the interactions between climate change, land use change, and conservation and adaptation in the Plains and Prairie Potholes (PPR) region of the North Central U.S. Relating climate variations to the prevailing land use and socioeconomic issues in the region helped to produce a framework enabling climate scientists to guide managers towards currently available and useful climate information and to design future research to address remaining key uncertainties affecting conservation decisions in the region.

With joint funding from the North Central Climate Science Center (NC CSC) and NASA's Earth Science Applied Sciences Program, the NC CSC supports resource managers and their decision process through its Resource for Vulnerability Assessment, Adaptation and Mitigation Planning (ReVAMP), a collaborative research/planning effort supported by high performance computing and modeling resources. The NC CSC focuses primarily on climate data as input to the ReVAMP. In this project the NASA DEVELOP program was used to evaluate how remote sensing data sets can contribute to the ecological response models that are implemented in the ReVAMP system. This work demonstrates the utility of remote sensing in vulnerability assessment and ensures remote sensing data sets are fully embedded in the ReVAMP system. The use of remote sensing products helped to scale ground-based measurement collected on managed lands to larger regions more suitable for analysis against climate modeling grids. The NASA DEVELOP program covered the cost of six graduate students and the NC CSC covered 3 months of time dedicated to faculty advisors for the DEVELOP students.

The climate of the North Central U.S. is driven by a combination of factors, including atmospheric circulation patterns, the region’s complex topography which extends from the High Rockies to the Great Plains, and variations in hydrology. Together, these factors determine the sustainability of the region’s ecosystems and the services that they provide communities.   In order to understand the vulnerability of the region’s ecosystems to change, it is necessary to have reliable projections of future climate conditions. To address this need, researchers first examined past and present variations in climate and assessed the ability of climate models to effectively project future climate conditions for the region. Second, researchers used these climate models to project how the region’s water balance might change. This information was then used to understand potential future changes in ecosystems that are of interest to stakeholders. For example, researchers found that the increased probability of future drought in Iowa would threaten the state’s tallgrass prairies, as 28 plant species could experience a reduction in habitat suitability by 2040.   This research helps clarify the trajectory of past, present, and future changes in the region’s climate; identifies specific climate conditions associated with extreme events such as drought; and combines this knowledge to evaluate future conditions of ecosystems in the region. Together, this information can be used to support climate adaptation efforts in the North Central region.    

Determining which species, habitats, or ecosystems are most vulnerable to climate change enables resource managers to better set priorities for conservation action. To address the need for information on vulnerability, this research project aimed to leverage the expertise of university partners to inform the North Central Climate Science Center on how to best assess the vulnerability of elements of biodiversity to climate and land use change in order to inform the development and implementation of management options. Outcomes from this activity were expected to include 1) a framework for modeling vegetation type and species response to climate and land use change, 2) an evaluation of existing alternative vegetation and species response models, and 3) a presentation of vulnerability assessments for managers for incorporation into climate adaptation strategies.

Managers already face uncertainty when making decisions about how to best manage natural resources. Now, climate change is adding an additional level of complexity to resource management decisions. Understanding the ability of human and ecological communities to adapt to changing conditions (known as their adaptive capacity) is an integral component of effective management planning in the face of climate change. So too is identifying ways in which managers can better incorporate information on climate and the vulnerability of resources into their decision-making.   This project sought to improve decision-making in the North Central region by developing an approach to managing natural resources that acknowledges the uncertainties that exist and incorporates the adaptive capacity and vulnerability of resources to climate change. To meet this goal, researchers assessed (1) the key factors that affect the ability of human and ecological communities to adapt to climate change; (2) the current vulnerability of communities to changing conditions; and (3) the current risk assessment methodologies being used by managers in the region. The results of this project can help improve natural resource management decisions under changing climate conditions.

In response to the potential impacts of climate and land use change to the Nation’s ecosystems, the Bureau of Land Management (BLM) launched a series of Rapid Ecoregional Assessments (REAs) in 2010. The REAs are focused on improving our understanding of the current state of ecosystems and how conditions may be impacted by changes in climate, land use, and other stressors.   Researchers with the North Central CSC and the National Oceanic and Atmospheric Administration (NOAA) provided climate science support to the Wyoming Basin REA. The Wyoming Basin REA is a landscape-scale ecological assessment of over 33 million acres in Wyoming, Colorado, Utah, Idaho, and Montana. This region has some of the highest quality wildlife habitat in the Intermountain West, and supports some of the largest U.S. populations of game species, including pronghorn, mule deer, elk, and bighorn sheep. The primary goal of the assessment was to identify potential risks and vulnerabilities of the region’s ecosystems and wildlife to change, to support management decision-making.   The climate analysis found that by 2030, temperatures in the region may rise by 2.5° Fahrenheit, and there will be more extreme hot days and fewer extreme cold days. It’s also expected that the snow accumulation season will start later in the fall, and that changing precipitation patterns will result in wetter winters and drier summers.   The results of this assessment can be used to identify priority areas for conservation or restoration of native plant and animal communities in the region, as well as to support broader landscape-scale decision-making related to all resources and public land uses.  

A central goal of the North Central Climate Science Center (NC CSC) is to bring together the latest data, tools, and knowledge on the impacts of climate change to the hands of the region’s natural and cultural resource managers. To meet this goal, the NC CSC implemented three sub-projects which (1) organized a workshop aimed at developing an information technology framework for data integration related to climate change impacts on ecosystems and landscape conservation; (2) evaluated data and information exchange protocols and identified analytical needs; and (3) coordinated an assessment of the impacts of climate change across the Great Plains region, which contributed to the identification of potential adaptation strategies to deal with these effects.

The effects of climate change on the natural resources protected by Parks will likely be substantial, but geographically variable, due to local variation in climate trajectories and differences among ecosystems in their vulnerability to climate change. The projections of general circulation models (GCMs) indicate the possible magnitude and direction of future climate change for a region, but the utility of these projections for more local scales, those of individual National Park Service (NPS) units, are more uncertain because the coarse-scale GCMs lack much of the topographic detail that alters local climates. In addition, complex, interacting effects of temperature, precipitation, atmospheric CO2 concentrations, fire, and herbivores on the vegetation that is the foundational natural resource of many NPS units present challenges in assessing the effects of projected future climates on plant and animal assemblages managed by the NPS. In spring 2009, Wind Cave National Park (WICA) served as a case study in a workshop assessing the use of scenario planning as a tool for park management planning in the face of rapidly changing climate. One outcome of the workshop was the recognized need for quantitative models to better understand the range of possible vegetation changes under different future climates and management decisions. This report addresses this need; it describes our adaptation of a dynamic global vegetation model (DGVM) to WICA vegetation and the resulting projections of future vegetation under three future climate scenarios and 11 management scenarios determined by Park natural resource managers. Wind Cave National Park lies along a narrow transition zone between the ponderosa pine (Pinus ponderosa) forests of the Black Hills and the mixed grass prairie that once extended with few interruptions over the lower, gentler terrain, subject to warmer, drier climate to the east and south of the Park. The location and character of this transition is strongly influenced by fire frequency and intensity (Brown and Sieg 1999). Furthermore, the mixed grass prairie occupies a broader transition zone between eastern tallgrass prairie and the shortgrass prairie of the western Great Plains. The dominance of species characteristic of these two prairie types varies with soil moisture availability, evaporative demand, and recent grazing history (Cogan et al. 1999). In addition, Wind Cave lies near the midpoint of a long gradient of C3 (cool season) grass dominance to the north and C4 (warm season) grass dominance to the south. The ecotonal position of WICA may make it particularly sensitive to climate change. For example, small changes in fire frequency and/or intensity and the vigor of trees vs. grass could dramatically shift the proportions of these two lifeforms. The Park hydrology is also sensitive to changes in the balance between infiltration of precipitation and evapotranspiration, as on average, only a small fraction of annual precipitation reaches the deeper soil layers that feed permanent streamflow. The resources at risk at Wind Cave NP include the Cave itself, as well as small backcountry caves, a genetically important bison herd, and other prairie species including the black-tailed prairie dog and endangered black-footed ferrets. All of these resources will be directly affected by climate change impacts on vegetation and hydrology. Natural resource management challenges at WICA are substantial, diverse, and intertwined. Aboveground, the park has been recognized as exemplary for its high quality vegetation (Marriot et al. 1999), though the park is relatively small for the diversity of vegetation types and species that it supports. Even without a changing climate, maintaining the integrity of the plant communities is complicated by the park’s legislated responsibility to maintain viable populations of bison, elk and pronghorn. In addition, the federally endangered black-footed ferret was recently re-introduced to the park. This species requires large extents of prairie dog towns for prey and habitat. Prairie dogs impact vegetation by constant clipping, grazing and soil disturbance, thereby affecting plant composition and productivity. Moreover, naturally high interannual climate variability and the strong influence of precipitation on grass productivity in this region combine to yield high interannual variability in the amount of forage available for the wildlife that the park is tasked to maintain. Finally, fire, which is now primarily controlled by WICA and NPS Northern Great Plains fire management programs, is intertwined with all other natural resource issues at WICA, as it can impact prairie dog colony and forest expansion, ungulate foraging behavior, invasive plant species, and hydrological processes. Although not capable of capturing all of these complexities, dynamic vegetation models do provide a means for quantitatively projecting vegetation futures in future climates under plausible fire and grazing regimes. Our work uses the DGVM MC1 to simulate the effects of future climate projections and management practices on the vegetation of WICA. MC1 is designed to project potential vegetation as influenced by natural processes and hence is appropriate for national parks, where conservation of native biota and ecosystems is of great importance. Since the initial application of MC1 to a small portion of WICA (Bachelet et al. 2000), the model has been altered to improve model performance with the inclusion of dynamic fire. Applying this improved version to WICA required substantial recalibration, during which we have made a number of improvements to MC1 that will be incorporated as permanent changes. In this report we document these changes and our calibration procedure following a brief overview of the model. We compare the projections of current vegetation to the current state of the park and present projections of vegetation dynamics under future climates downscaled from three GCMs selected to represent the existing range in available GCM projections. In doing so, we examine the consequences of different management options regarding fire and grazing, major aspects of biotic management at Wind Cave.

Hydrologic models are used throughout the world to forecast and simulate streamflow, inform water management, municipal planning, and ecosystem conservation, and investigate potential effects of climate and land-use change on hydrology. The USGS Modeling of Watershed Systems (MoWS) group is currently developing the infrastructure for a National Hydrologic Model (NHM) to support coordinated, comprehensive, and consistent hydrologic model development and application. The NHM is expected to provide internally consistent estimates of total water availability, water sources, and streamflow timing, and measures of uncertainty around these estimates, for the entire United States. VisTrails, a scientific workflow and provenance management system (www.vistrails.org), could be used to facilitate consistent, organized, reproducible data management, analysis, and visualization for the NHM. A VisTrails system for the USGS Monthly Water Balance model (MWB) and/or the USGS Precipitation-Runoff Modeling System (PRMS) would be widely used in the NHM effort as well as by numerous agencies and researchers for individual model applications. Project Researchers worked with North Central Climate Science Center (NC CSC) staff to develop a VisTrails system for MWB, as a first step in developing a more complex VisTrails system for PRMS. The resulting VisTrails system for MWB has facilitated consistent, organized, and reproducible model calibration and simulations for monthly streamflow projections by research hydrologists and managers nationwide.