Filters: Categories: Data (X) > Tags: {"type":"Wildlife and Plants","name":"plants"} (X) > Types: Citation (X) > Types: OGC WFS Layer (X)
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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 dataset is a list of variables (in columns) corresponding to nodes in a categorical network model. Geographic variables vary according to the specific climate downscaling model used to project plant species range into the future. Continuous variables were discretized into two to five categories as required by the model, usually based on quantiles of distribution.
This raster indicates modeled habitat for various species under current and future conditions. Using the Price et al. (2012) parameters, we modeled species ranges as a function of elevation, temperature, and precipitation as described in Jacobi et al. (2016). Our methods departed slightly from their procedure in that we did not exclude non-pioneer-classified species from young lava flows. Jacobi, J.J., Camp, R.J., Berkowitz, S.P., Brinck, K.W., Fortini, L.B., Price, J.P., and Loh, R.M. 2016. Assess the potential impacts of projected climate change on vegetation management strategies within Hawaii Volcanoes National Park. PICSC Final Report. URL: https://nccwsc.usgs.gov/ Price, J.P., Jacobi, J.D., Gon, S.M., III,...
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,
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.
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Aquatic Biology,
Louisiana Coastal,
Plants,
Sea-Level Rise and Coasts,
South Central CASC,
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