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The threat of droughts and their associated impacts on the landscape and human communities have long been recognized in the United States, especially in high risk areas such as the southcentral region. This project examines whether existing drought indices can predict the occurrence of drought events and their actual damages, how the adaptive capacity (i.e., resilience) varies across space, and what public outreach and engagement effort would be most effective for mitigation of risk and impacts. The study region includes all 503 counties in Arkansas, Louisiana, New Mexico, Oklahoma, and Texas. This data set was created to assess the community resilience to the drought hazards using the Resilience Inference Measurement...
Categories: Data;
Types: Citation;
Tags: Arkansas,
Climatological hazard,
Drought,
Drought, Fire and Extreme Weather,
Louisiana,
This data set includes bi-monthly data on submerged aquatic vegetation species composition, percent cover, above and below ground biomass and environmental data at coastal sites across the fresh to saline gradient in Barataria Bay, LA. This project was co-funded by the South Central Climate Adaptation Science Center and the Gulf Coast Prairie and the Gulf Coastal Plains and Ozarks Landscape Conservation Cooperatives. An alternate reference to this product can be found here.
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Climatology,
Gulf of Mexico,
Louisiana Coastal,
Plants,
Sea-Level Rise and Coasts,
This dataset contains the result of the bioclimatic-envelope modeling of the three amphibian species -- the Sacramento Mountain Salamander (Aneides hardii), the Jemez Mountains Salamander (Plethodon neomexicanus), and the Chiricahua Leopard Frog (Lithobates chiricahuensis) -- in the South Central US using the downscaled data provided by WorldClim. We used five species distribution models (SDM) including Generalized Linear Model, Random Forest, Boosted Regression Tree, Maxent, and Multivariate Adaptive Regression Splines (MARS) and ensembles to develop the present day distributions of the species based on climate-driven models alone. We then projected future distributions of the species using data from four climate...
Categories: Data;
Types: Citation;
Tags: Aneides hardii,
Birds,
Chiricahua Leopard Frog,
Jemez Mountains Salamander,
Lithobates chiricahuensis,
This dataset contains the result of the bioclimatic-envelope modeling of the two reptile species -- Rio Grande Cooter (Pseudemys gorzugi) and Gray-Checkered Whiptail (Aspidoscelis dixoni) -- in the South Central US using the downscaled data provided by WorldClim. We used five species distribution models (SDM) including Generalized Linear Model, Random Forest, Boosted Regression Tree, Maxent, and Multivariate Adaptive Regression Splines (MARS) and ensembles to develop the present day distributions of the species based on climate-driven models alone. We then projected future distributions of the species using data from four climate models: Community Climate System Model version 4 (CCSM4), Hadley Centre Global Environment...
Categories: Data;
Types: Citation;
Tags: Aspidoscelis dixoni,
Birds,
Gray-Checkered Whiptail,
Mammals,
Other Wildlife,
Create an inventory of water-related models that have been developed for the Rio Grande/Bravo basin. The summary includes a description of model river extent, spatial and temporal resolution, time period, model type, and their possible application for testing environmental flows or climate change future alternatives.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Hydraulics,
Hydrologic,
Optimization,
Rio Bravo,
Rio Grande,
The South Central U.S. is one of the main agricultural regions in North America: annual agricultural production is valued at more than $44 billion dollars. However, as climate conditions change, the region is experiencing more frequent and severe droughts, with significant impacts on agriculture and broader consequences for land management. For example, in 2011 drought caused an estimated $7.6 billion in agricultural losses in Texas and an additional $1.6 billion in Oklahoma. Although there are many drought monitoring tools available, most of these tools were developed without input from the stakeholders, such as farmers and ranchers, who are intended to use them. The goal of this project is to assess the information...
Categories: Data;
Types: Citation;
Tags: Data Visualization & Tools,
Drought,
Drought, Fire and Extreme Weather,
Science Tools For Managers,
South Central CASC,
Daily streamflow and reservoir water elevation data for modeled locations in the Red River Basin. Values reported are for 18 different GCM (Global Climate Model) / RCP (Representative Concentration Pathway) / GDM Downscaling scenarios. Climate data from each scenario was input into a Variable Infiltration Capacity (VIC) model, that output flow values. These values were then input into RiverWare, to determine the impacts on regulated flows, lake levels and water availability. RiverWare was used for this project, because of its ability to simulate water use, reservoir operations, and local/interstate regulations.
Categories: Data;
Types: Citation;
Tags: Climate Change,
Indigenous Peoples,
Louisiana,
National CASC,
Red River,
This dataset provides bi-monthly data on seed biomass collected in shallow water habitats across the fresh to saline gradient at coastal sites in Barataria Bay, Louisiana. This project was co-funded by the South Central Climate Adaptation Science Center and the Gulf Coast Prairie and the Gulf Coastal Plains and Ozarks Landscape Conservation Cooperatives. An alternate reference to this product can be found here.
Categories: Data;
Types: Citation;
Tags: Alabama,
Climatology,
Gulf of Mexico,
Louisiana Coastal,
Mississippi Coastal,
This dataset contains the result of the bioclimatic-envelope modeling of nine bird species -- Northern/Masked Bobwhite Quail (Colinus virginianus), Scaled Quail (Callipepla squamata), Pinyon Jay (Gymnorhinus cyanocephalus), Juniper Titmouse (Baeolophus ridgwayi), Mexican Spotted Owl (Strix occidentalis lucida), Cassin’s Sparrow (Peucaea cassinii), Lesser Prairie-Chicken (Tympanuchus pallidicinctus), Montezuma Quail (Cyrtonyx montezumae), and White-tailed Ptarmigan (Lagopus leucurus) -- in the South Central US using the downscaled data provided by WorldClim. We used five species distribution models (SDM) including Generalized Linear Model, Random Forest, Boosted Regression Tree, Maxent, and Multivariate Adaptive...
Categories: Data;
Types: Citation;
Tags: Baeolophus ridgwayi,
Birds,
Callipepla squamata,
Cassin’s Sparrow,
Colinus virginianus,
The northern Gulf of Mexico coast spans two major climate gradients and represents an excellent natural laboratory for developing climate-influenced ecological models. In this project, we used these zones of remarkable transition to develop macroclimate-based models for quantifying the regional responses of coastal wetland ecosystems to climate variation. In addition to providing important fish and wildlife habitat and supporting coastal food webs, these coastal wetlands provide many ecosystem goods and services including clean water, stable coastlines, food, recreational opportunities, and stored carbon. Our objective was to examine and forecast the effects of macroclimatic drivers on wetland ecosystem structure...
Categories: Data;
Types: Citation;
Tags: Corpus Christi,
Galveston,
Grand Bay,
Gulf of Mexico,
Laguna Madre,
The northern Gulf of Mexico coast spans two major climate gradients and represents an excellent natural laboratory for developing climate-influenced ecological models. In this project, we used these zones of remarkable transition to develop macroclimate-based models for quantifying the regional responses of coastal wetland ecosystems to climate variation. In addition to providing important fish and wildlife habitat and supporting coastal food webs, these coastal wetlands provide many ecosystem goods and services including clean water, stable coastlines, food, recreational opportunities, and stored carbon. Our objective was to examine and forecast the effects of macroclimatic drivers on wetland ecosystem structure...
Categories: Data;
Types: Citation;
Tags: Corpus Christi,
Galveston,
Grand Bay,
Gulf of Mexico,
Laguna Madre,
Drought is a natural hazard that inflicts costly damage to the environment and human communities. Although ample literature exists on the climatological aspects of drought, little is known on whether existing drought indices can predict the damages and how different human communities respond and adapt to the hazard. This project examines (1) whether existing drought indices can predict the occurrence of drought events and their actual damages; (2) how the adaptive capacity (i.e., resilience) varies across space; and (3) what public outreach and engagement effort would be most effective for mitigation of risk and impacts. The study region includes all 503 counties in Arkansas, Louisiana, New Mexico, Oklahoma, and...
Categories: Data;
Types: Citation;
Tags: Arkansas,
Drought,
Drought damage,
Drought, Fire and Extreme Weather,
Louisiana,
Daily streamflow and reservoir water elevation data for modeled locations in the Red River Basin. Values reported are for 18 different GCM (Global Climate Model) / RCP (Representative Concentration Pathway) / GDM Downscaling scenarios. Climate data from each scenario was input into a Variable Infiltration Capacity (VIC) model, that output flow values. These values were then input into RiverWare, to determine the impacts on regulated flows, lake levels and water availability. RiverWare was used for this project, because of its ability to simulate water use, reservoir operations, and local/interstate regulations.
Categories: Data;
Types: Citation;
Tags: Climate Change,
Indigenous Peoples,
National CASC,
Red River,
RiverWare,
Daily streamflow and reservoir water elevation data for modeled locations in the Red River Basin. Values reported are for 18 different GCM (Global Climate Model) / RCP (Representative Concentration Pathway) / GDM Downscaling scenarios. Climate data from each scenario was input into a Variable Infiltration Capacity (VIC) model, that output flow values. These values were then input into RiverWare, to determine the impacts on regulated flows, lake levels and water availability. RiverWare was used for this project, because of its ability to simulate water use, reservoir operations, and local/interstate regulations.
Categories: Data;
Types: Citation;
Tags: Arkansas,
Climate Change,
Indigenous Peoples,
National CASC,
Red River,
Daily streamflow and reservoir water elevation data for modeled locations in the Red River Basin. Values reported are for 18 different GCM (Global Climate Model) / RCP (Representative Concentration Pathway) / GDM Downscaling scenarios. Climate data from each scenario was input into a Variable Infiltration Capacity (VIC) model, that output flow values. These values were then input into RiverWare, to determine the impacts on regulated flows, lake levels and water availability. RiverWare was used for this project, because of its ability to simulate water use, reservoir operations, and local/interstate regulations.
Categories: Data;
Types: Citation;
Tags: Climate Change,
Indigenous Peoples,
National CASC,
Oklahoma,
Red River,
This is one of five general categories that contains the water management elements on the Rio Grande/Bravo basin. This category includes the dams, water districts, and water related models on the United States and Mexico that overlap the basin boundary.
Categories: Data;
Types: Citation;
Tags: Dams,
Groundwater models,
Hydraulic models,
Hydrologic models,
Irrigation districts,
This dataset contains the result of the bioclimatic-envelope modeling of the six mammal species -- (a) New Mexican Jumping Mouse (Zapus hudsonius luteus), (b) Northern Pygmy Mouse (Baiomys taylori), (c) Gunnison's Prairie Dog (Cynomys gunnisoni), (d) Black-tailed Prairie Dog (Cynomys ludovicianus), (e) American Pika (Ochotona princeps), and (e) Swift Fox (Vulpes velox) -- in the South Central US using the downscaled data provided by WorldClim. We used five species distribution models (SDM) including Generalized Linear Model, Random Forest, Boosted Regression Tree, Maxent, and Multivariate Adaptive Regression Splines (MARS) and ensembles to develop the present day distributions of the species based on climate-driven...
Categories: Data;
Types: Citation;
Tags: American Pika,
Baiomys taylori,
Birds,
Black-tailed Prairie Dog,
Cynomys gunnisoni,
This is one of five general categories that contain the water related elements of the Rio Grande/Bravo basin. This category includes the land use and cover of the United States and Mexico that are located within the basin boundary. Under this category a digital elevation model for the basin is also included as well as the major soils within the basin.
Categories: Data;
Types: Citation;
Tags: Agriculture,
DEM,
Digital Elevation Model,
Forest,
Land cover,
The northern Gulf of Mexico coast spans two major climate gradients and represents an excellent natural laboratory for developing climate-influenced ecological models. In this project, we used these zones of remarkable transition to develop macroclimate-based models for quantifying the regional responses of coastal wetland ecosystems to climate variation. In addition to providing important fish and wildlife habitat and supporting coastal food webs, these coastal wetlands provide many ecosystem goods and services including clean water, stable coastlines, food, recreational opportunities, and stored carbon. Our objective was to examine and forecast the effects of macroclimatic drivers on wetland ecosystem structure...
Categories: Data;
Types: Citation;
Tags: Corpus Christi,
Galveston,
Grand Bay,
Gulf of Mexico,
Laguna Madre,
Fire is a natural and necessary component of the South Central Plains ecosystem. However, fire suppression and more frequent droughts in the region have resulted in a build-up of dry fuels loads such as dead wood, resulting in fires that burn hotter and impact the landscape more severely. Uncontrolled wildfires have cost the region several billion dollars in the past five years. Further, fire suppression has resulted in substantial losses in native plant biodiversity and wildlife habitat, which also has costly implications. In Oklahoma alone, it’s estimated that $157 million will be required to restore rangelands to their native conditions. Of further concern is the fact that projected changes in climate indicate...
Categories: Data;
Types: Citation;
Tags: Climate change,
Climatology,
Controlled fires,
Drought, Fire and Extreme Weather,
Fire,
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