Filters: Tags: EARTH SCIENCE > LAND SURFACE (X)
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The GCPO LCC assessed landscapes within the broad vegetative class of grasslands at a spatial resolution of 30 meters using a national database of existing vegetation type (LANDFIRE) combined with various high resolution data layers obtained from the states of Oklahoma, Texas, and Florida, and from researchers, non-governmental agencies, and state agencies for Alabama, Arkansas, Mississippi, and Missouri. This process identified over 32 million acres of the grassland vegetative type (broadly defined) and just over 1 million acres meeting the more restrictive definition of prairie (Figure 1). However, none of those areas identified as prairie were shown to meet all four of the condition endpoints assessed, and only...
The dataset includes Land Use/Land Cover types throughout the Chenier Eco-Region in Southwest Louisiana. Using the 2015 NAIP dataset (1m) as the basemap, E-Cognition image objects were derived from the multiresolution segmentation algorithm at 75 and 250 segments. Attempts to refine the data training methods using E-cognition, to extrapolate automating categories of this information to the entire map resulted with exceedingly low accuracy. Therefore, a raster was produced by piecing together several data resources, which provide reliable data for specific LULC categories. This process involved stitching together more reliable sources for specific categories to apply to higher resolution (75) segmentation product....
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2015,
Complete,
Data,
EARTH SCIENCE,
EARTH SCIENCE > LAND SURFACE,
This project was funded to understand how, where, and why outputs from landscape connectivity models vary, and to suggest approaches to increase comparability and interoperability of models across Landscape Conservation Cooperative boundaries. We began by compiling metadata from 73 landscape connectivity modeling projects into an online, editable spreadsheet. Using spatial data from a subset of studies included in the database, we conducted an uncertainty analysis to understand how much spatial variation there was among predictions from different landscape connectivity models. Raw outputs from the original models showed relatively little overlap, averaging about 3% across all pairs of studies. However, when a common...
Managers typically estimate wildlife abundance using surveys within a timeframe that favors increased detectability; however, the ability to account for probabilities of inclusion, detection, and/or presence within a given sampling area is often limited. Cranes provide a good opportunity to research count accuracy because they are large, conspicuous, and often congregate during part of the year, typically on staging areas (i.e., fall and spring) or on wintering grounds. The objectives of this paper are twofold: (1) to evaluate how environmental factors influence crane movement in and out of crane survey areas to identify the best window of availability for annual survey counts, and (2) to evaluate environmental...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: EARTH SCIENCE > CLIMATE INDICATORS,
EARTH SCIENCE > CLIMATE INDICATORS > LAND SURFACE/AGRICULTURE INDICATORS,
EARTH SCIENCE > LAND SURFACE,
EARTH SCIENCE > LAND SURFACE > LAND USE/LAND COVER,
EARTH SCIENCE > LAND SURFACE > LANDSCAPE,
The dataset includes Land Use/Land Cover types throughout the Chenier Eco-Region in Southwest Louisiana. Using the 2015 National Aerial Imagery Program (NAIP) dataset (1m) as the basemap, E-Cognition image objects were derived from the multiresolution segmentation algorithm at 75 and 250 segments. Attempts to refine the data training methods using E-cognition, to extrapolate automating categories of this information to the entire map resulted with exceedingly low accuracy. Therefore, a raster was produced by piecing together several data resources, which provide reliable data for specific LandUse/LandCover (LULC) categories. This process involved stitching together more reliable sources for specific categories to...
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Complete,
Data,
EARTH SCIENCE,
EARTH SCIENCE,
EARTH SCIENCE > LAND SURFACE,
Enduring features (EFs; geophysical settings) are worthy conservation targets. We assembled data on EFs for the nation and performed an ecoregion-based GAP Analysis on their conservation status. Ecoregions that circumscribe mountains tend to have more EFs, and ecoregions in the west, where public lands make up more of the total land area, have more EFs within conservation lands. The middle of the country is relatively low in EF diversity, but nonetheless the number of EFs in conservation lands is low. Areas of high EF diversity in the Edwards Plateau also contained a diversity of rare species occurrences. We generated a new EF data set for the eastern USA and evaluated the distribution of rare species in terms of...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Completed,
Data.gov Landscape Conservation Cooperative Network,
Data.gov Landscape Conservation Cooperative Network,
Data.gov Landscape Conservation Cooperative Network,
Data.gov Landscape Conservation Cooperative Network,
Conserving a network of representative physical environments is a strategy that could conserve species both now and into the future, while allowing them to move in response to the climate. The key to implementing such a strategy is to define the physical environments in a way that is maximally relevant to species. We created comprehensive maps of geology, elevation zones, and landforms for the Eastern U.S. and then examined the relationships between these factors and 3434 rare species at 85,613 locations. Based on an index of importance derived from the number of species samples and an index of the percent above expected that a species was found on a feature, most species showed strong preferences for specific settings:...
Fact sheet about a project funded by the LCC Network to conduct spatial uncertainty and sensitivity analyses to enhance the comparability of landscape connectivity products for large-scale landscape planning.
Enduring features (EFs; geophysical settings) are worthy conservation targets. We assembled data on EFs for the nation and performed an ecoregion-based GAP Analysis on their conservation status. Ecoregions that circumscribe mountains tend to have more EFs, and ecoregions in the west, where public lands make up more of the total land area, have more EFs within conservation lands. The middle of the country is relatively low in EF diversity, but nonetheless the number of EFs in conservation lands is low. Areas of high EF diversity in the Edwards Plateau also contained a diversity of rare species occurrences. We generated a new EF data set for the eastern USA and evaluated the distribution of rare species in terms of...
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