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1) Raw parcel-level habitat data for the South Carolina Lowcountry surrounding Cape Romain NWR and Francis Marion NF, from current current conditions and for three projected sea-level rise futures based on SLAMM model outputs, NLCD land cover and the projected distribution of sea levels for 2050. 2) a table of parcel identification numbers (without georeference) with parcel size (Ha) and sub-group identity. 3) Optimization-model derived reserve design portfolios that define the Pareto-optimal frontier for each sub-group and for four budget scenarios along axes of reserve design benefits and risk.
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On an island largely devoid of native vertebrate seed dispersers, we monitored forest succession for seven years following ungulate exclusion from a 5-hectare area and adjacent plots with ungulates still present. The study site was in northern Guam on Andersen Air Force Base (13°37’N, 144°51’E) and situated on a coralline limestone plateau. We established 22 plots and six 0.25-m2 subplots to measure trees and understory canopy. Data were collected in February or March, during the dry season from 2005-2011.
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This data set consists of data collected during 2005-2007, 2010, and 2015 at Neal Smith National Wildlife Refuge in Iowa, USA that were used in the analysis in support of the article titled "Toward improving pollinator habitat: Reconstructing prairies with high forb diversity," which has been submitted to Natural Areas Journal. We compared pollinator habitat, in terms of planted forb richness, cover, and phenology, cover of planted grasses, and persistence of exotic species 10-years post-planting of reconstructions with 58 species (extra-high), 34 species (high), 20 species (medium) and 10 species (low) planted at the same time using the same fields, methods, and overall seeding rate. Twelve replicates of three...
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Mapping the spatial dynamics of perceived social value across the landscape can help develop a restoration economy that can support ecosystem services in the region. Many different methods have been used to map perceived social value. We used the Social Values for Ecosystem Services (SolVES) GIS tool, version 3.0, which uses social survey responses and various environmental variables to map social value. In the social survey distributed by the Borderlands Restoration Network (BRN) in May 2017, the respondents were asked to consider twelve different social values and map locations on a map where they perceived those social values to be. Additionally, they were asked to weigh each social value using a total of 100...
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This dataset is North American Breeding Bird Survey bird-count data for the routes and stops in North Dakota, USA, in which ten mixed-grass-prairie-endemic species occurred, as well as the mean habitat-quality ranking scores derived from applying the Habitat Quality Module of the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) to spatial layers for landuse/landcover from the National Agricultural Statistics Survey, CRP from USDA, urban and road areas from US Census Bureau (Tiger/Line), and energy development from USGS. The bird-count data is the total sum of counts for the focal ten species; individual species counts are not part of the dataset.
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As part of a study to quantify floodplain flood attenuation ecosystem services, datasets were developed representing a baseline (current floodplain condition) and counterfactual (floodplain flood storage removed) scenario for 18 sites in the Schuylkill River Watershed, Pennsylvania. This data release contains rasters (3-m resolution) of baseline and counterfactual flood depth grids for the 0.5, 0.2, 0.1, 0.04, 0.02, and 0.01 annual exceedance probability (AEP) scenarios in the Schuylkill River Watershed, Pennsylvania. Depth grid raster datasets were used as input for riverine flood modeling in the Federal Emergency Management Agency HAZUS Program to estimate damages to buildings under various flood intensities....
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Datasets used to quantify and value the ecosystem service of sediment and nutrient retention for floodplains within the Difficult Run watershed located in Fairfax County, Virginia. Geospatial datasets include a digital elevation model (DEM), a hydrologically conditioned DEM, output from the USGS Stream Channel and Floodplain Metric Toolbox, and field data sets used to develop regression models to predict sediment and nutrient retention services for stream within the Difficult Run watershed.


    map background search result map search result map Dataset: Forest growth in and around an ungulate enclosure on Northern Guam, 2005-2011 Difficult Run Floodplain Sediment and Nutrient Retention Ecosystem Service Datasets, Fairfax County, Virginia Modeling effects of crop production, energy development and conservation-grassland loss on avian habitat: dataset of BBS data, ND, with habitat rankings Perceived Social Value of the Sonoita Creek Watershed using the Social Values for Ecosystem Services (SolVES) Tool, Arizona, U.S.A. High forb diversity prairie reconstruction at Neal Smith NWR 2005-2015 Depth grids for floodplain flood attenuation baseline and counterfactual scenarios in the Schuylkill River watershed, Pennsylvania Dataset: Forest growth in and around an ungulate enclosure on Northern Guam, 2005-2011 High forb diversity prairie reconstruction at Neal Smith NWR 2005-2015 Difficult Run Floodplain Sediment and Nutrient Retention Ecosystem Service Datasets, Fairfax County, Virginia Perceived Social Value of the Sonoita Creek Watershed using the Social Values for Ecosystem Services (SolVES) Tool, Arizona, U.S.A. Depth grids for floodplain flood attenuation baseline and counterfactual scenarios in the Schuylkill River watershed, Pennsylvania Modeling effects of crop production, energy development and conservation-grassland loss on avian habitat: dataset of BBS data, ND, with habitat rankings