Skip to main content
Advanced Search

Filters: Tags: SERAP (X)

9 results (8ms)   

Filters
Date Range
Extensions
Types
Contacts
Categories
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
These data represent the extent of urbanization (for the year indicated) predicted by the model SLEUTH, developed by Dr. Keith C. Clarke, at the University of California, Santa Barbara, Department of Geography and modified by David I. Donato of the United States Geological Survey (USGS) Eastern Geographic Science Center (EGSC). Further model modification and implementation was performed at the Biodiversity and Spatial Information Center at North Carolina State University
Abstract (from http://onlinelibrary.wiley.com/doi/10.1111/1752-1688.12304/abstract): The hydrologic response to statistically downscaled general circulation model simulations of daily surface climate and land cover through 2099 was assessed for the Apalachicola-Chattahoochee-Flint River Basin located in the southeastern United States. Projections of climate, urbanization, vegetation, and surface-depression storage capacity were used as inputs to the Precipitation-Runoff Modeling System to simulate projected impacts on hydrologic response. Surface runoff substantially increased when land cover change was applied. However, once the surface depression storage was added to mitigate the land cover change and increases...
thumbnail
A hydrologic model was developed as part of the Southeast Regional Assessment Project using the Precipitation Runoff Modeling System (PRMS), a deterministic, distributed-parameter, process-based system that simulates the effects of precipitation, temperature, and land use on basin hydrology. Streamflow and other components of the hydrologic cycle simulated by PRMS were used to inform other types of simulations such as water-temperature, hydrodynamic, and ecosystem-dynamics simulations.
thumbnail
Researchers from North Carolina State University and the USGS integrated models of urbanization and vegetation dynamics with the regional climate models to predict vegetation dynamics and assess how landscape change could impact priority species, including North American land birds. This integrated ensemble of models can be used to predict locations where responses to climate change are most likely to occur, expressing results in terms of species persistence to help resource managers understand the long-term sustainability of bird populations.
thumbnail
The Southeastern United States spans a broad range of physiographic settings and maintains exceptionally high levels of faunal diversity. Unfortunately, many of these ecosystems are increasingly under threat due to rapid human development, and management agencies are increasingly aware of the potential effects that climate change will have on these ecosystems. Natural resource managers and conservation planners can be effective at preserving ecosystems in the face of these stressors only if they can adapt current conservation efforts to increase the overall resilience of the system. Climate change, in particular, challenges many of the basic assumptions used by conservation planners and managers. Previous conservation...
thumbnail
The broad range of complex factors influencing coastal systems contribute to large uncertainties in predicting long-term sea level rise impacts. Researchers demonstrated the capabilities of a Bayesian network (BN) to predict long-term shoreline change associated with sea level rise and make quantitative assessments for predicting uncertainty. A BN was used to define relationships between driving forces, geologic constraints, and coastal response for the U.S. Atlantic coast that include observations of local rates of relative sea level rise, wave height, tide range, geomorphic classification, coastal slope, and shoreline change rate. The BN was used to make probabilistic predictions of shoreline retreat in response...
thumbnail
These data represent the extent of urbanization (for the year indicated) predicted by the model SLEUTH, developed by Dr. Keith C. Clarke, at the University of California, Santa Barbara, Department of Geography and modified by David I. Donato of the United States Geological Survey (USGS) Eastern Geographic Science Center (EGSC). Further model modification and implementation was performed at the Biodiversity and Spatial Information Center at North Carolina State University.
thumbnail
The USGS and South Atlantic LCC worked with stakeholders and managers across the Southeast to identify and assess landscape-level strategies for conserving multiple species. These strategies incorporated predictions from downscaled climate models, sea level rise, and changes to aquatic and terrestrial habitats.
thumbnail
USGS researchers assessed how climate change can affect land cover and flow in river systems, examining a variety of resolutions for detecting and projecting the conditions of aquatic habitats and species.


    map background search result map search result map Projected_Urban_Growth SERAP: The Effects of Climate Change on Aquatic Species and Habitat in the Southeast SERAP: Decision Support for Stakeholders and Managers SERAP: Modeling of Global and Land Use Change Impacts SERAP: Modeling of Hydrologic Systems SERAP: Assessment of Shoreline Retreat in Response to Sea Level Rise SERAP: Assessment of Climate and Land Use Change Impacts on Terrestrial Species SERAP: Assessment of Shoreline Retreat in Response to Sea Level Rise SERAP: The Effects of Climate Change on Aquatic Species and Habitat in the Southeast SERAP: Modeling of Hydrologic Systems SERAP: Decision Support for Stakeholders and Managers SERAP: Assessment of Climate and Land Use Change Impacts on Terrestrial Species SERAP: Modeling of Global and Land Use Change Impacts Projected_Urban_Growth