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The South Central U.S. encompasses a wide range of ecosystem types and precipitation patterns. Average annual precipitation is less than 10 inches in northwest New Mexico but can exceed 60 inches further east in Louisiana. Much of the region relies on warm-season convective precipitation – that is, highly localized brief but intense periods of rainfall that are common in the summer. This type of precipitation is a significant driver of climate and ecosystem function in the region, but it is also notoriously difficult to predict since it occurs at such small spatial and temporal scales. While global climate models are helpful for understanding and predicting large-scale precipitation trends, they often do not capture...
Climate, sea level rise, and urbanization are undergoing unprecedented levels of combined change and are expected to have large effects on natural resources—particularly along the Gulf of Mexico coastline (Gulf Coast). Management decisions to address these effects (i.e., adaptation) require an understanding of the relative vulnerability of various resources to these stressors. To meet this need, the four Landscape Conservation Cooperatives along the Gulf partnered with the Gulf of Mexico Alliance to conduct this Gulf Coast Vulnerability Assessment (GCVA). Vulnerability in this context incorporates the aspects of exposure and sensitivity to threats, coupled with the adaptive capacity to mitigate those threats. Potential...
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A monthly water balance model (MWBM) was driven with precipitation and temperature using a station-based dataset for current conditions (1949 to 2010) and selected statistically-downscaled general circulation models (GCMs) for current and future conditions (1950 to 2099) across the conterminous United States (CONUS) using hydrologic response units from the Geospatial Fabric for National Hydrologic Modeling (Viger and Bock, 2014). Six MWBM output variables (actual evapotranspiration (AET), potential evapotranspiration (PET), runoff (RO), streamflow (STRM), soil moisture storage (SOIL), and snow water equivalent (SWE)) and the two MWBM input variables (atmospheric temperature (TAVE) and precipitation (PPT)) were summarized...
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USFWS Landscape Conservation Cooperatives (LCCs) throughout the Mississippi River Basin (MRB) have identified high nutrient runoff, a major contributor to Gulf hypoxia, and declines in wildlife populations (especially grassland and riparian birds), as conservation challenges requiring collaborative action. This project aimed to develop a spatial decision support system (DSS) to address these issues. The DSS was designed to identify MRB watersheds where application of conservation practices can (1) reduce nutrient export to the Gulf hypoxia zone and (2) enhance conservation for grassland and riparian birds, based on (3) identifying landowners willing and capable of implementing these practices. The DSS is expected...
Categories: Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2014, Bird Conservation, Birds, Birds, Birds, All tags...
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This data set includes a dropped-edge analysis of grassland and forest networks in the South Central United States based on land cover data from 2006 and graph theory to evaluate Landscape Resistance to Dispersal (LRD). LRD represents the degree to which habitat availability limits species movement. LRD decreases as habitat availability increases and increases as habitat availability decreases. This data set includes a range of LRD thresholds to represent species with different dispersal abilities and responses to landscape structure. A threshold indicates the highest LRD that still allows dispersal by a particular group of species. LRD thresholds are included in the data set, with low values representing connectivity...
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The development of a hydrologic foundation, essential for advancing our understanding of flow-ecology relationships, was accomplished using the high-resolution physics-based distributed rainfall-runoff model Vflo. We compared the accuracy and bias associated with flow metrics that were generated using Vflo at both a daily and monthly time step in the Canadian River basin, USA. First, we calibrated and applied bias correction to the Vflo model to simulate streamflow at ungaged catchment locations. Next, flow metrics were calculated using both simulated and observed data from stream gage locations. We found discharge predictions using Vflo were more accurate than using drainage area ratios. General correspondence...
Advancements in wildfire danger modeling may increase wildfire preparedness, and therefore decrease loss of life, property, and habitat due to wildfire. Recent work by our team has shown wildfire danger models may be improved by incorporating soil moisture information. Still, soil moisture—an important determinant of wildfire risk—is not currently used for wildfire danger assessments because adequate soil moisture information has historically been unavailable. Our project addressed this gap by developing and disseminating improved soil moisture estimates and demonstrating their relevance to wildfire danger assessments. Our objectives were to (1) develop an effective model of soil moisture for the Red River and Rio...
Categories: Publication; Types: Citation
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Characterized by their extreme size, intensity, and severity, megafires are the most destructive, dangerous, and costly wildfires in the U.S. Over the past two decades, megafires have become more frequent in Oklahoma and Texas along with increasing extreme weather events and changes to fuel types caused by woody plant encroachment into grasslands. As climate change and woody plant encroachment are expected to continue or even accelerate, it is important to evaluate megafire risks and locate high-risk areas. This project will develop a new Megafire Risk Evaluation System (MERES) and make future projections of megafire probability in Oklahoma and Texas from 2024 to 2100. Outcomes and products from this project will...
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Wildfires scorched 10 million acres across the United States in 2015, and for the first time on record, wildfire suppression costs topped $2 billion. Wildfire danger modeling is an important tool for understanding when and where wildfires will occur, and recent work by our team in the South Central United States has shown wildfire danger models may be improved by incorporating soil moisture information. Advancements in wildfire danger modeling may increase wildfire preparedness, and therefore decrease loss of life, property, and habitat due to wildfire. Still, soil moisture—an important determinant of wildfire risk—is not currently used for wildfire danger assessments because data are generally unavailable at the...
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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.
map background search result map search result map Improving Representation of Extreme Precipitation Events in Regional Climate Models Science to Assess Future Conservation Practices for the Mississippi River Basin Monthly Water Balance Model Futures Submerged aquatic vegetation and environmental data along a salinity gradient in Barataria Bay, Louisiana (2015) Wildfire Probability Mapping Based on Regional Soil Moisture Models Dropped-edge analysis of terrestrial connectivity of grassland and forest networks in the South Central United States based on the National Land Cover Database from 2006 Point locations of daily flow rates in the Canadian River watershed derived from hydrologic modeling 1994-2013 Megafire Risk Evaluation System (MERES) for the Southern Great Plains Point locations of daily flow rates in the Canadian River watershed derived from hydrologic modeling 1994-2013 Submerged aquatic vegetation and environmental data along a salinity gradient in Barataria Bay, Louisiana (2015) Megafire Risk Evaluation System (MERES) for the Southern Great Plains Dropped-edge analysis of terrestrial connectivity of grassland and forest networks in the South Central United States based on the National Land Cover Database from 2006 Wildfire Probability Mapping Based on Regional Soil Moisture Models Improving Representation of Extreme Precipitation Events in Regional Climate Models Science to Assess Future Conservation Practices for the Mississippi River Basin Monthly Water Balance Model Futures