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The GeoAdaptive and GeoDesign scenarios were extended to the state of Florida line and incorporated CLIP 3.0 into the scenarios for the ecological input. The scenarios will consist of urbanization level of 31,000,000 people by 2060 and sea level rise of 1.0m, and policies and assumptions such a build first conserve second (BAU) and conserve first build second (proactive). The type of conservation was varied; fee simple purchase and easement percentages. The first scenario had a 50/50 split between fee simple purchase and easements and the second and third scenario had 90% easement and 10% fee simple purchase. The difference in scenario was in the process of conservation (CLIP priority area 1 or Florida Forever land...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Conservation Planning,
Florida climate change,
LCC,
LCC Network Science Catalog,
Other,
Urban growth and climate change together complicate planning efforts meant to adapt to increasingly scarce water supplies. Several studies have shown the impacts of urban planning and climate change separately, but little attention has been given to their combined impact on long-term urban water demand forecasting. Here we coupled land and climate change projections with empirically-derived coefficient estimates of urban water use (sum of public supply, industrial, and domestic use) to forecast water demand under scenarios of future population densities and climate warming. We simulated two scenarios of urban growth from 2012 to 2065 using the FUTure Urban-Regional Environment Simulation (FUTURES) framework. FUTURES...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Land Use Change,
Land use change,
North Carolina,
Projection,
Scenario,
Species distribution models often use climate data to assess contemporary and/or future ranges for animal or plant species. Land use and land cover (LULC) data are important predictor variables for determining species range, yet are rarely used when modeling future distributions. In this study, maximum entropy modeling was used to construct species distribution maps for 50 North American bird species to determine relative contributions of climate and LULC for contemporary (2001) and future (2075) time periods. Results indicate species-specific response to climate and LULC variables; however, both climate and LULC variables clearly are important for modeling both contemporary and potential future species ranges....
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: CONUS,
CONUS,
Change,
Climate,
Climatology,
This project modeled the effects of future climate change on bird distributions and their status in the lower 48 states. Its goal was to examine more than 600 species of birds and produce more than 100 predictive scenarios for each species, resulting in more than 600,000 data layers for birds. The purpose of the project was to provide information critical to the design and implementation of management and conservation strategies that could be used by all Landscape Conservation Cooperatives.
This dataset consists of modeled projections of land use and land cover and population for the State of California for the period 1970-2101. For the 1970-2001 period, we used the USGS's LUCAS model to "backcast" LULC, beginning with the 2001 initial conditions and ending with 1970. For future projections, the model was initialized in 2001 and run forward on an annual time step to 2100. In total 5 simulations were run with 10 Monte Carlo replications of each simulation. The simulations include: 1) Historical backcast from 2001-1970, 2) Business-as-usual (BAU) projection from 2001-2101, and 3) three modified BAU projections based on California Department of Finance population projections based on high, medium, and...
Categories: Data;
Tags: California,
California,
LUCAS model,
Land Use Change,
USGS Science Data Catalog (SDC),
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...
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