The Climate Science Support Platform is a network of NC CASC scientists and partners that provides climate science support to the NC CASC community of scientists and stakeholders through collaborative research and integration of diverse science expertise. In an effort to increase understanding of climate science and to identify stakeholders’ climate science needs, the Climate Science Support Platform facilitates iterative engagement with the NC CASC community of scientists and stakeholders through direct interactions, science calls to engage with the entire network, and science webinars that bring together researchers and managers. In addition to engaging with stakeholders, the Climate Science Support Platform also works to produce information and tools to address stakeholder needs. Specific initiatives include 1) developing and providing downscaled climate data, 2) synthesizing project specific climate information (e.g. US FWS species assessments), 3) developing workflows to access climate data (e.g., the Climate Futures Toolbox), and 4) developing resource briefs and regional summaries. The Climate Science Support Platform is also doing foundational and applied research in understanding ecological drought processes and risk under a changing climate. For more information on activities conducted through the CSSP, please check the CSSP webpage.

Federal land managers need an adaptive management framework to accommodate changing conditions and that allows them to effectively link the appropriate science to natural resource management decision-making across jurisdictional boundaries. FRAME-SIMPPLLE is a collaborative modeling process designed to accomplish this goal by coupling the adaptive capabilities of the SIMPPLLE modeling system with accepted principles of collaboration. The two essential components of the process are FRAME (Framing Research in support of the Adaptive Management of Ecosystems), which creates a collaborative problem-solving environment, and SIMPPLLE (SIMulating Patterns and Processes at Landscape Scales), which is a vegetation dynamics modeling system. The resulting collaborative modeling process allows decision makers to optimize the management of multiple resources and evaluate the likely outcome of various choices. The approach involves collaboratively engaging resource managers, modelers, and scientists in framing the science issues embedded in key natural resource management issues and then developing the SIMPPLLE modeling approach to address those issues. Through a prototype collaborative modeling effort at Mesa Verde National Park, a process has been developed for adaptive, multi-objective resource management. What is needed now is an effort to refine the approach and establish a transportable methodology that is applicable across a wide range of ecosystems. In the Northern Rockies, managers have expressed an interest in exploring this approach at Glacier National Park, the Crown of the Continent Ecosystem, and the Rocky Mountain Front. This project utilized and evaluated the FRAME-SIMPPLLE approach to (1) explore adaptive management for climate and landscape change in the Northern Rockies, (2) recommend how to foster the long-term development of such collaborative planning tools as a joint effort between the USGS and the Institute of the Environment; (3) develop graduate student mentoring opportunities focused on collaborative planning and adaptive management science, and (4) investigate the use of GIS to further landscape science and conservation, especially related to energy development.

The North Central Climate Science Center (NC CSC) involved federal, state, tribal, and university partners to implement a pilot study aimed at developing data and information exchange protocols and identifying analytical needs across a broad network of partners. The study was organized around a set of management questions identified by the NC CSC’s partners. Issues related to species, landscapes, and ecosystem connections were used to orient the study across various scales of decision-making.   As part of the study, researchers prototyped the use of climate projections in ecosystem, habitat, and wildlife impact models, to inform resource management and planning decisions. Capabilities and constraints associated with information exchange and analysis between federal and non-federal partners were then assessed.   This study resulted in the development of an innovative platform geared towards user-friendly information exchange and analysis, providing new views of data critical to supporting researchers and decision-makers in analyzing climate-associated risk events and mitigating their effects.    

Colorado State University organized and hosted a workshop aimed at developing an information technology framework for data integration related to climate change impacts on ecosystems and landscape conservation. The workshop included key federal and state agency partners, tribal governments, and universities. The objective of the workshop was to develop an information technology strategy to handle the various data, information, and computational services which the eight regional DOI Climate Science Centers will be responsible for delivering to stakeholders.   Issues covered during the workshop included distributed computing and data storage; information security issues across federal, state, university, and public portals; analysis across multiple scales and sectors; and exchanging information to multiple user communities. The workshop was charged with developing a framework that could serve the needs of the regional Climate Science Centers, which include local to regional, cross-regional, and national level considerations. The workshop also provided guidance for a pilot study focused on evaluating the current and future capacity to analyze, archive, and distribute information across various information technology infrastructure types.

In the Great Plains, climate change is expected to result in more frequent and intense droughts, severe rainfall events, and heat waves. Adapting to changing conditions will require coordination in the research and observation capabilities of multiple organizations, institutions, and government programs. In light of these needs, researchers worked with federal, state, tribal, university, and non-governmental organization partners to (1) synthesize the current state of ecosystems in the Great Plains; (2) assess the ability of human and ecological communities in the region to adapt to climate change; and (3) develop a process to improve future assessments of the vulnerability of the region’s natural and cultural resources to climate change. A key finding of the assessment is that multiple climatic and non-climatic stressors put agriculture, water, ecosystems, and rural and tribal communities at risk. For example, rising temperatures and a projected increase in extreme summer temperatures in the Great Plains could have significant implications for water availability for conservation efforts, energy production, and agriculture. This project resulted in an improved understanding of the base knowledge of various agencies related to climate change impacts and potential response strategies for dealing with its effects.

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.

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.

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 goal of this project was to inform implementation of the Greater Yellowstone Coordinating Committee (GYCC) Whitebark Pine (WBP) subcommittee’s “WBP Strategy” based on climate science and ecological forecasting. Project objectives were to: 1. Forecast ecosystem processes and WBP habitat suitability across the Greater Yellowstone Area (GYA) under alternative IPCC future scenarios; 2. Improve understanding of possible response to future climate by analyzing WBP/climate relationships in past millennia; 3. Develop WBP management alternatives; 4. Evaluate the alternatives under IPCC future scenarios in terms of WBP goals, ecosystem services, and costs of implementation; and 5. Draw recommendations for implementation of the GYCC WBP strategy that consider uncertainty. Recommendations were derived in a scenario planning workshop based on both the results and uncertainty in the results. These recommendations are expected to thus be immediately acted upon by the GYA management community and the approach and methods are readily applicable to the several other tree species that are undergoing die-offs under changing climate.