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Phase 1 & 2 (2010, 2012): This project developed a sampling design and monitoring protocol for wintering shorebirds in the Central Valley and in the San Francisco Bay Estuary and develop an LCC-specific online shorebird monitoring portal publicly available at the California Avian Data Center. The three objectives in Phase II of this project are: 1) Complete the shorebird monitoring plan for the CA LCC by developing a sampling design and monitoring protocol for wintering shorebirds in coastal southern California and northern Mexico. 2) Develop models to evaluate the influence of habitat factors from multiple spatial scales on shorebird use of San Francisco Bay and managed wetlands in the Sacramento Valley, as a model...
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2010, 2011, 2013, Academics & scientific researchers, Academics & scientific researchers, All tags...
U.S. Geological Survey - ShakeCast: a ShakeMap Response Automation System ShakeCast is an application that automatically retrieves ShakeMap data and distributes notifications and assessments to key personnel. ShakeMap scenarios can be found sorted by category within the 'Collections' tab.
Categories: Data; Types: Offline Data; Tags: ShakeMap, earthquake, scenarios
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In this study, we determined the carbon balance in the Great Dismal Swamp, a large forested peatland in the southeastern USA, which has been drained for over two hundred years and now is being restored through hydrologic management. We modeled future net ecosystem carbon balance over 100 years (2012 to 2112) using in situ field observations paired with simulations of water-table depth. The three scenarios used in the model were baseline conditions, flooded/wet conditions, and drained/dry conditions, which represent a range of potential management actions and climate conditions at the Great Dismal Swamp. This U.S. Geological Survey Data Release provides the modeled output estimating the net ecosystem carbon balance,...
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Invasion of exotic annual grass (EAG), such as cheatgrass (Bromus tectorum), red brome (Bromus rubens), and medusahead (Taeniatherum caput-medusae), could have irreversible degradation impact to arid and semiarid rangeland ecosystems in the western United States. The distribution and abundance of these EAG species are highly influenced by weather variables such as temperature and precipitation. We set out to develop a machine learning modelling approach using a lightGBM algorithm to predict how changes in annual and immediate past precipitation regimes impact the abundance of EAG in the study area. The predictive model primarily utilized edaphic and weather variables and a seed source proxy from previous years to...
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The science focus of the PFLCC is to enhance conservation planning in Florida by investigating many possible trajectories of future landscape transformation. Conservation Science is prospective in nature because it examines changing assumptions, vulnerability to stressors, uncertainty and risk. These factors can be expressed as models or combined into alternative future scenarios. Based on initial efforts started with Everglades restoration, we have developed scenarios for the entire state of Florida.Through a systematic exploration at the landscape-scale, scenarios can be utilized to predict conservation opportunities or areas of conservation conflict. Scenarios are not conceived as blueprints for the future, but...
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This work provides a flexible and scalable framework to assess the impacts of climate change on streamflow and stream temperature within the North Atlantic Landscape Conservation Cooperative (NALCC) region. This is accomplished through use of lumped parameter, physically-based, conceptual hydrologic and stream temperature models formulated in a hierarchical Bayesian framework. This allows for model predictions of streamflow and temperature at ungaged locations and a formal accounting of model estimate uncertainty at each location, something not previously achieved in these models. These environmental models also link seamlessly with the land use and fish models. The goal for this project was to provide: 1) Estimates...
Scenarios, CLIP, and inundation modeling will be incorporated into a decision support framework to help planners and managers view the information and be able to develop management options and adaptation plans in areas where needed.
This project helps the Central Valley Joint Venture (CVJV) track gains and losses of key bird and waterfowl habitats at a landscape scale. This will allow the CVJV to effectively monitor and evaluate habitats essential to conservation planning for wildlife species. This work is important for identifying, assembling, and analyzing data for key habitats of concern and will provide a foundation for future monitoring.
Why Rangelands: The Central Valley of California, the surrounding foothills and the interior Coast Range include over 18 million acres of grassland. Most of this land is privately owned and managed for livestock production. Because grasslands are found in some of California’s fastest-growing counties, they are severely threatened by land conversion and development. In addition climate change stresses grasslands by potentially changing water availability and species distributions.Maintaining a ranching landscape can greatly support biodiversity conservation in the California Landscape Conservation Cooperative (LCC) region. In addition ranches generate multiple ecosystem services—defined as human benefits provided...
Categories: Data, Project; Tags: 2011, 2012, 2013, Applications and Tools, CA, All tags...
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.


    map background search result map search result map A Monitoring Protocol to Assess Wintering Shorebird Population Trends Using Dynamic Linear Modeling to Characterize Hydrologic Regimes and Detect Flow Modifications at Multiple Temporal Scales Vargas2012 Florida climate change, urbanization, and policy assumption scenario for conservation planning Report Model parameters and output of net ecosystem carbon balance for the Great Dismal Swamp, Virginia and North Carolina, USA Predicted exotic annual grass abundance in rangelands of the western United States using various precipitation scenarios for 2022 A Monitoring Protocol to Assess Wintering Shorebird Population Trends Vargas2012 Florida climate change, urbanization, and policy assumption scenario for conservation planning Report Predicted exotic annual grass abundance in rangelands of the western United States using various precipitation scenarios for 2022 Using Dynamic Linear Modeling to Characterize Hydrologic Regimes and Detect Flow Modifications at Multiple Temporal Scales