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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.
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 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...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Hydrology,
Maine,
Maryland,
Massachusetts,
New Hampshire,
Establishing connections among natural landscapes is the most frequently recommended strategy for adapting management of natural resources in response to climate change. The U.S. Northern Rockies still support a full suite of native wildlife, and survival of these populations depends on connected landscapes. Connected landscapes support current migration and dispersal as well as future shifts in species ranges that will be necessary for species to adapt to our changing climate. Working in partnership with state and federal resource managers and private land trusts, we sought to: 1) understand how future climate change may alter habitat composition of landscapes expected to serve as important connections for wildlife,...
This is a spatially-explicit state-and-transition simulation model of rangeland vegetation dynamics in southwest South Dakota. It was co-designed with resource management partners to support scenario planning for climate change adaptation. The study site encompasses part of multiple jurisdictions, including Badlands National Park, Buffalo Gap National Grasslands, and Pine Ridge Indian Reservation. The model represents key vegetation types, grazing, exotic plants, fire, and the effects of climate and management on rangeland productivity and composition (i.e., distribution of ecological community phases). See Miller et al. (2017) for further details. The model was built using the ST-Sim software platform (www.apexrms.com/stsm)....
Categories: Data;
Types: Citation;
Tags: Badlands National Park,
Bison,
Buffalo Gap National Grassland,
Cattle,
Climate change,
Recapture data for trout in a stream. Format is appropriate for CJS modelling.
Categories: Data;
Tags: Aquatic Biology,
Ecology,
Northeast CASC,
Rivers, Streams and Lakes,
Survival,
These data were compiled in order to represent long-term (multi-decadal) forest growth across eight different experimental forests in the United States, each with replicated levels of density treatments, as well as an important drought index correlated to growth. Forests around the world are experiencing severe droughts and elevated competitive intensity due to increased tree density. These data can be utilized to not only examine differences in within-stand competition, as well the trends and impact of drought in different forests across a broad climatic gradient, but also the influence of interactions between drought and competition on forest growth. Growth is measured as a treatment level, annual basal area increment...
Climate often drives ungulate population dynamics, and as climates change, some areas may become unsuitable for species persistence. Unraveling the relationships between climate and population dynamics, and projecting them across time, advances ecological understanding that informs and steers sustainable conservation for species. Using pronghorn (Antilocapra americana) as an ecological model, we used a Bayesian approach to analyze long-term population, precipitation, and temperature data from 18 populations in the southwestern United States. We determined which long-term (12 and 24 months) or short-term (gestation trimester and lactation period) climatic conditions best predicted annual rate of population growth...
Categories: Data;
Types: Citation;
Tags: Antilocapra americana,
Arizona,
Climatology,
Drought,
Drought, Fire and Extreme Weather,
We compiled and analyzed a database of burn permits for prescribed fires conducted in Florida and Georgia from 2006-2016. The dataset contains the number of permitted burns and expected acres burned by county in the two states for every day in the 11 year period. Also included are the county-wide average daily weather conditions for temperature and relative humidity, calculated from the University of Idaho gridMet dataset.
Categories: Data;
Tags: Data Visualization & Tools,
Florida,
Georgia,
Science Tools For Managers,
Southeast CASC,
This climate and vegetation index dataset was collected from readily available open source data, such as Landsat. The data represents points across the northern Colorado plateau. The vegetation type was defined based on U.S. Geological Survey ReGAP data. Using compositing techniques by season we developed a dataset of lag and legacy for each point. We could then look to understand how both lag and legacy impacted vegetation production across the time series. In this dataset we focus on the soil adjusted vegetation index (SAVI), the standardized precipitation and evapotranspiration index (SPEI), and precipitation. Included in this dataset are climate lags of 3,6,9 and 12 months. Additionally, the legacy construct...
Categories: Data;
Tags: Arches National Park,
Botany,
Bryce Canyon National Park,
Canyonlands National Park,
Capitol Reef National Park,
These data can be used to replicate the application of MWBMglacier as described in two journal articles: 1) Enhancement of a parsimonious water balance model to simulate surface hydrology in a glacierized watershed (in review), and 2) Hydrologic regime changes in a high-latitude glacierized watershed under future climate conditions (doi:10.3390/w10020128). These simulations provide results from historical and 12 future general circulation model scenarios for the period 1949-2099 to determine the potential effects of climate change on the hydrology and water quality of a snow-dominated mountainous environment. In addition to the inputs and outputs, this Data Release includes summaries of the input and output data...
Categories: Data;
Tags: Climatology,
Glaciers and Permafrost,
Million Dollar Bridge,
Northwest CASC,
Rivers, Streams and Lakes,
In the southwestern US, the meteorological phenomenon known as atmospheric rivers (ARs) has gained increasing attention due to its strong connections to floods, snowpacks and water supplies in the West Coast states. Relatively less is known about the ecological implications of ARs, particularly in the interior Southwest, where AR storms are less common. To address this gap, we compared a chronology of AR landfalls on the west coast between 1989-2011 and between 25-42.5ºN, to annual metrics of the Normalized Difference Vegetation Index (NDVI; an indicator of vegetation productivity) and daily-resolution precipitation data to assess influences of AR-fed winter precipitation on vegetation productivity across the southwestern...
Categories: Data;
Tags: Arizona,
California,
Climatology,
Drought, Fire and Extreme Weather,
Extreme Weather,
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 is from a precipitation manipulation experiment conducted at five grassland sites along an elevation gradient near Flagstaff, AZ. The data consist of pre- (1991 - 2015) and post-experimental (2016) treatment plant production and precipitation measurements. The plant production measurements were taken from satellite and hand-held spectroradiometer, in addition to plot-based harvests at the end of growing season.
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.
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Alabama,
Aquatic Biology,
Climatology,
Gulf of Mexico,
Louisiana Coastal,
This projects primary goal was to provide data on biomass of potential seed resources located within shallow water coastal areas within fresh to saline coastal waters of the northern Gulf of Mexico. The data set provides biomass of seeds, by species or lowest practical taxon from 2013, 2014 and 2015 across 384 randomly selected sites located in shallow water coastal areas. The data were collected between June and September of each year. This data set can be merged with a dataset which reports submerged aquatic vegetation and environmental data collected at the same time (La Peyre et al. 2017; https://doi.org/10.5066/F7GH9G44). This project was co-funded by the South Central Climate Adaptation Science Center and...
Categories: Data;
Types: Citation;
Tags: Alabama,
Aquatic Biology,
Climatology,
Gulf of Mexico,
Louisiana Coastal,
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...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Alabama,
Florida,
Gulf of Mexico,
Louisiana,
Mississippi,
This dataset was constructed from readily available open source climate and vegetation data, like Landsat. This dataset represents the vegetation and climate conditions for a large number of points across the major deserts of the SW USA. The dataset was constructed in order to use the climate pivot point approach (Munson et al. 2013) at the landscape level. Originally this dataset was much larger but we were looking to study a pure vegetation signal and therefore developed a detailed masking procedure to remove fire, slope, human, and floodplain effects. The vegetation classification originally came from SW regap, though we have refined / regrouped the data. The vegetation classification for each point is representative...
This dataset includes spatial locations in the Pacific Northwest where streamflow observations were recorded. For the purpose of this investigation, all streamflow observations were converted into wet or dry indicator values.
Categories: Data;
Tags: California,
Climatology,
Data Visualization & Tools,
Data Visualization & Tools,
Decision-Making Support and Tools,
This data release includes data processing scripts, data products, and associated metadata for a novel remote-sensing based approach to assess resilience of spring-dependent ecosystems to inter-annual changes in water availability. This approach uses remotely-sensed Normalized Difference Vegetation Index (NDVI) to (1) delineate surface moisture zones (SMZs) in the vicinity of mapped springs in a semi-arid sage-steppe landscape, (2) derive quantitative indicators of the relative resilience of these SMZs to inter-annual changes in water availability, and (3) synthesize these indicators into an overall resilience score for each cluster of springs. Specifically, for 39 spring clusters mapped in the National Hydrography...
Categories: Data;
Types: Citation;
Tags: Climatology,
Drought,
Drought, Fire and Extreme Weather,
Drought, Fire and Extreme Weather,
Groundwater-dependent ecosystems,
This product is an archive of the modeling artifacts used to produce a journal paper (Van Beusekom and Viger, 2016). The abstract for that paper follows. A module to simulate glacier runoff, PRMSglacier, was added to PRMS (Precipitation Runoff Modeling System), a distributed-parameter, physical-process hydrological simulation code. The extension does not require extensive on-glacier measurements or computational expense but still relies on physical principles over empirical relations as much as is feasible while maintaining model usability. PRMSglacier is validated on two basins in Alaska, Wolverine, and Gulkana Glacier basin, which have been studied since 1966 and have a substantial amount of data with which to...
Categories: Data;
Tags: Geography,
Glaciers and Permafrost,
Northwest CASC,
Rivers, Streams and Lakes,
USGS Science Data Catalog (SDC),
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