Filters: Tags: decision support (X)
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This project analyzies projected changes in the frequency and intensity of extreme weather events across the Great Lakes region, namely heat waves, cold spells, heavy precipitation events, and droughts, using a statistically downscaled climate product produced by the Climate Working Group of the Wisconsin Initiative on Climate Change Impacts (WICCI). It will perform a probabilistic exploration of weather extremes, ideally tailored toward decision-makers who are developing impact assessments at a regional scale across the Great Lakes region.
Thermokarst lakes (lakes formed in a depression by meltwater from thawing permafrost) are common features and important ecosystems in Alaska. There is increasing concern about how thermokarst lakes respond to projected climate change and what the potential impacts are on regional carbon cycle dynamics, hydrological regime, and habitat character distribution. This demands better understanding of the location of thermokarst lakes and how their characteristics vary in landscape that will allow to better estimate the risks associated with lake area dynamics. This study attempts to map state-wide thermokarst lake distribution of Alaska, with a minimum size of 0.1 ha, using object oriented classification of high resolution...
One of the major challenges in understanding changes in coastal processes in western Alaska is the lack of measured ocean data in the region. This project leverages existing human resources, and physical and computational infrastructure to collect and disseminate oceanographic observations in the Bering Sea. From instrument restoration, transport and deployment, through data streaming, recovery and dissemination, this project considers the end to end supports necessary to gather, promote, and serve oceanographic data along Alaska’s Western coast. Real‐time sea‐state conditions directly benefit emergency managers and local communities, particularly in dealing with small craft hazards and predicting storm surges...
Researchers have consistently prioritized the need to measure the status and trends of stream and lake temperatures across Alaska landscapes, and to compile those data for predictive modeling. The goal of this project is to develop an open statewide water temperature network with easily understood and readily implemented data standards to support landscape-level assessments. Development of two-tiered data standard will allow data collectors and data managers the flexibility to use their existing agency protocols, yet set standards that are scientifically robust and suitable for landscape-level analysis.
This is an integrated scenario project to the PFLCC line that incorporates updated critical land and water identification project layers with a decision support system for landscape conservation planning in Florida. The scenarios incorporate climate change, urbanization, and policy assumptions into the scenarios.
Categories: Data,
Project;
Tags: Conservation Plan/Design/Framework,
Decision support,
Everview,
LCC Network Science Catalog,
Project,
Mapping of barriers and statistical prediction of their passability is now fairly complete in the Great Lakes basin, yet field assessments of barrier characteristics and passability to migratory fishes are spotty. We will use the Lake Michigan basin as a pilot area for comprehensive field assessment of dam condition, dimensions, and passage technologies. These characteristics will be incorporated into our barrier database, enabling improved estimates of removal costs, watershed cumulative passability, and infrastructure maintenance challenges. In parallel, we will conduct field assessments of passability to spring migrations of Great Lakes fishes in 15 Wisconsin watersheds. Recording the upstream limits of migrations...
Categories: Data;
Tags: 2015,
Decision Support,
EARTH SCIENCE > LAND SURFACE > LANDSCAPE,
Federal resource managers,
Great Lakes,
The Appalachian LCC is currently engaged in an effort to develop a draft regional conservation plan for the Cooperative using an interactive and iterative spatial prioritization framework. Using available data and modeling approaches that are well supported in the literature, researchers from Clemson University are developing conservation planning models that include site selection, ecological threat assessments, and broad ranging habitat and ecological connectivity analyses.The research team is working closely with designated technical teams from each major region in the Appalachian LCC to offer unique insights and input to help guide the interactive conservation planning process. After each round of feedback,...
Provision of shade via riparian restoration is a well-established management adaptation strategy to mitigate against temperature increases in streams. Effective use of this strategy depends upon accurately identifying vulnerable, unforested riparian areas in priority coldwater stream habitats. An innovative riparian planting and restoration decision support tool is now available to the conservation community. This user-friendly tool allows managers and decision-makers to rapidly identify and prioritize areas along the banks of rivers, streams, and lakes for restoration, making these ecosystems more resilient to disturbance and future changes in climate.This research developed and implemented a user-friendly web-based...
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