Skip to main content
USGS - science for a changing world
Advanced Search

Filters: Tags: ecosystem services valuation (X)

4 results (93ms)   

View Results as: JSON ATOM CSV
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.
thumbnail
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.
thumbnail
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.
thumbnail
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 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