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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.
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The U.S. Geological Survey Precipitation-Runoff Modeling System (PRMS) was used to assess the effects of changing climate and land disturbance on seasonal streamflow in the Rio Grande Headwaters (RGHW) region. Three applications of PRMS in the RGHW were used to simulate 1) baseline effects of climate, 2) effects of bark-beetle induced tree mortality, and 3) effects of wildfire, on components of the hydrologic cycle and subsequent seasonal streamflow runoff from April through September for water years 1980 through 2017. PRMS input files and select PRMS output variables for each simulation are contained in this data release to accompany the journal article.
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This data release includes data-processing scripts, data products, and associated metadata for a study to model the hydrology of several hundred vernal pools (i.e., seasonal pools or ephemeral wetlands) across the northeastern United States. More information on this study is available from the project website. This data release consists of several components: (1) an input dataset and associated metadata document ("pool_inundation_observations_and_climate_and_landscape_data"); (2) an annotated R script which processes the input dataset, performs inundation modeling, and generates model predictions ("annotated_R_script_for_pool_inundation_modeling.R"); and (3) a model prediction dataset and associated metadata document...
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While climate change is rapidly warming lakes and reservoirs, warming rates can be highly variable among systems because lake characteristics can modulate atmospheric forcing. While it is known that water clarity changes can alter lake water temperatures, it is unknown if frequently observed water clarity trends are sufficient to meaningfully impact the thermal trajectories of diverse lake populations. Using process-based modeling and empirical observations, this study demonstrates that water clarity changes of about 1% per year amplifies or suppresses warming at rates comparable to climate-induced warming. These results demonstrate that trends in water clarity, which are occurring in many lakes, may be as important...
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This projects primary goal was to provide data on occurrence and abundance of SAV resources within the fresh to saline coastal waters of the northern Gulf of Mexico, and to relate these findings to key environmental variables. The data set provides the collected data from 2013, 2014 and 2015 on site location, discrete water quality, aquatic vegetation cover and biomass by species. The same 384 sites were collected each year, between June and September. 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.
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Coastal wetland ecosystems are expected to migrate landward in response to accelerated sea-level rise. However, due to differences in topography and coastal urbanization extent, estuaries vary in their ability to accommodate wetland migration. The landward movement of wetlands requires suitable conditions, such as a gradual slope and land free of urban development. Urban barriers can constrain migration and result in wetland loss (coastal squeeze). For future-focused conservation planning purposes, there is a pressing need to quantify and compare the potential for wetland landward movement and coastal squeeze. For 41 estuaries in the northern Gulf of Mexico (i.e., the USA gulf coast), we quantified and compared...
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This data release includes data-processing scripts, data products, and associated metadata for a remote-sensing based approach to characterize vegetation conditions within a dry, mixed conifer forest study area in southern Oregon in 2001 (a single year drought without any widespread insect mortality) and 2009 (during a multi-year drought that coincided with a severe outbreak of mountain pine beetle; MPB). This analysis involved several steps. First, time-series climate data were compiled and plotted to identify drought periods. Similarly, time-series data representing insect outbreaks were compiled and plotted to identify trends in insect mortality. The study area was classified into forest canopy types using existing...
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This data set characterizes the thermal regime in a number of Colorado and New Mexico streams that contain populations of Rio Grande Cutthroat Trout (Oncorhynchus clarkii virginalis) or have been considered potential restoration areas for the fish. The majority of these streams had no previous record of continual temperature records. When compared to Colorado water temperature criteria (Cold Tier 1), a portion of these populations appeared to be at risk from elevated stream temperatures, as indicated by exceedance of both acute and chronic water quality metrics. Summer water temperature profiles recorded at sites within current Rio Grande Cutthroat Trout habitat indicated that although the majority of currently...
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These present data on sediment carbon within submerged aquatic vegetation beds from fresh to saline coastal locations in Barataria Bay, Louisiana. Water quality, site location, vegetation biomass and species composition are presented. This project was co-funded by the South Central Climate Adaptation Science Center and the Gulf Coast Prairie Landscape Conservation Cooperative and Gulf Coastal Plains and Ozarks LCC. An alternate reference to this product can be found here.


    map background search result map search result map Water and Air Temperature Throughout the Range of Rio Grande Cutthroat Trout in Colorado and New Mexico; 2010-2015 V2 Climate warming of Wisconsin lakes can be either amplified or suppressed by trends in water clarity Submerged aquatic vegetation and environmental data for coastal areas from Texas through Alabama, 2013-2015 Submerged aquatic vegetation and environmental data along a salinity gradient in Barataria Bay, Louisiana (2015) Sediment carbon, submerged aquatic vegetation and environmental variables in deltaic southeast Louisiana (2015-2016) Analysis of remotely-sensed vegetation conditions during droughts and a mountain pine beetle outbreak, Gearhart Mountain Wilderness, Oregon Landward migration of tidal saline wetlands with sea-level rise and urbanization: a comparison of northern Gulf of Mexico estuaries Model input and output for hydrologic simulations in the Rio Grande Headwaters, Colorado, using the Precipitation-Runoff Modeling System (PRMS) Inundation observations and inundation model predictions for vernal pools of the northeastern United States Analysis of remotely-sensed vegetation conditions during droughts and a mountain pine beetle outbreak, Gearhart Mountain Wilderness, Oregon Model input and output for hydrologic simulations in the Rio Grande Headwaters, Colorado, using the Precipitation-Runoff Modeling System (PRMS) Climate warming of Wisconsin lakes can be either amplified or suppressed by trends in water clarity Submerged aquatic vegetation and environmental data for coastal areas from Texas through Alabama, 2013-2015 Submerged aquatic vegetation and environmental data along a salinity gradient in Barataria Bay, Louisiana (2015) Sediment carbon, submerged aquatic vegetation and environmental variables in deltaic southeast Louisiana (2015-2016) Water and Air Temperature Throughout the Range of Rio Grande Cutthroat Trout in Colorado and New Mexico; 2010-2015 V2 Inundation observations and inundation model predictions for vernal pools of the northeastern United States Landward migration of tidal saline wetlands with sea-level rise and urbanization: a comparison of northern Gulf of Mexico estuaries