Skip to main content
Advanced Search

Filters: partyWithName: Alexa McKerrow (X)

11 results (61ms)   

Filters
Date Range
Extensions
Types
Contacts
Categories
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
thumbnail
The Species Richness Maps included here are based on the Gap Analysis Project (GAP) habitat maps, which are predictions of the spatial distribution of suitable environmental and land cover conditions within the United States for individual species. Individual species habitat distribution models were summed to create the total richness for each vertebrate taxa. The summing process was coded in Python 2.7 and employed the arcpy module for geoprocessing steps. The code is documented in the log file which is included in the Sciencebase item along with the richness data for each taxa (See processing steps for file names and sciencebase urls). Mapped habitat distribution areas represent places where the environment is...
thumbnail
The need for integrated and widely accessible sources of species traits data to facilitate studies of ecology, conservation, and management has motivated development of traits databases for various taxa. In spite of the increasing number of traits-based analyses of freshwater fishes in the United States, no consolidated database of traits of this group exists publicly, and much useful information on these species is documented only in obscure sources. The largely inaccessible and unconsolidated traits information makes large-scale analysis involving many fishes and/or traits particularly challenging. We have compiled a database of >100 traits for 809 (731 native and 78 nonnative) fish species found in freshwaters...
thumbnail
The dataset includes ecoregion specific species distribution models for 149 common fluvial fishes of the Conterminous U.S. Species models were developed for fluvial fishes considered common and native in each of the nine EPA Wadeable Streams Assessment program aquatic ecoregions (Herlihy et al. 2008) in which the species occurred. Common native species were identified as being geographically widespread and relatively abundant within ecoregions and utilize a wide variety of habitat types. Boosted regression tree models were used to develop presence/absence predictions for each of the National Hydrography Plus Dataset Version 1.0 (NHDPlusV1) stream reaches. The text files provided can be linked to the NHDPlusV1 data...
thumbnail
The Species Richness Maps included here are based on the Gap Analysis Project (GAP) habitat maps, which are predictions of the spatial distribution of suitable environmental and land cover conditions within the United States for individual species. Individual species habitat distribution models were summed to create the total richness for each vertebrate taxa. The summing process was coded in Python 2.7 and employed the arcpy module for geoprocessing steps. The code is documented in the log file which is included in the Sciencebase item along with the richness data for each taxa (See processing steps for file names and sciencebase urls). Mapped habitat distribution areas represent places where the environment is...
This database contains type descriptions for natural vegetation at all levels of the U.S. National Vegetation Classification. These descriptions were primarily written by NatureServe ecologists in collaboration with Federal Geographic Data Committee Vegetation Subcommittee and a wide variety of state, federal and private partners as a part of the implementation of the National Vegetation Classification. Formation descriptions were written by the Hierarchy Revisions Working Group. The descriptions are based on consultation with natural resource professionals, published literature, and other vegetation classification systems. The Ecological Society of America’s Panel on Vegetation Classification is responsible for...
thumbnail
Under the Endangered Species Act, the U.S. Fish and Wildlife Service (USFWS) must evaluate the status of at-risk plants and animals in the U.S. A Species Status Assessment (SSA) is a scientific assessment prepared for each at-risk species to help inform a range of management decisions under the Endangered Species Act. SSA’s are currently needed for more than 350 species, 250 of which are in the Southeast region alone. These species are threatened by several stressors including urbanization, loss of habitat, changes in streamflow and water quality, climate variability, and climate change. As part of the SSA process, teams must identify and assess risks to species or their habitat from changing climate, hydrology,...
thumbnail
The Large River Monitoring Forum compiled fish assemblage data for five large rivers in the U.S. as a part of a coordinated effort to compare and contract river monitoring efforts in large river systems. Fish community data from five monitoring programs were integrated to create the standardized dataset. Authors: Timothy D. Counihan1, Ian R. Waite2, Andy Casper3, David Ward4, Jennifer Sauer5, Elise Irwin6, Colin Chapman7, Brian Ickes5, Craig Paukert8, John Kosovich9, and Jennifer M. Bayer10 1- United States Geological Survey, Western Fisheries Research Center, Columbia River Research Laboratory, 5501A Cook-Underwood Road, Cook, WA 98605; email:tcounihan@usgs.gov; Phone:509-538-2299; Fax:509-538-2843 2- United States...
thumbnail
The Species Richness Maps included here are based on the Gap Analysis Project (GAP) habitat maps, which are predictions of the spatial distribution of suitable environmental and land cover conditions within the United States for individual species. Individual species habitat distribution models were summed to create the total richness for each vertebrate taxa. The summing process was coded in Python 2.7 and employed the arcpy module for geoprocessing steps. The code is documented in the log file which is included in the Sciencebase item along with the richness data for each taxa (See processing steps for file names and sciencebase urls). Mapped habitat distribution areas represent places where the environment is...
Abstract (from http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0102261): The future health of ecosystems is arguably as dependent on urban sprawl as it is on human-caused climatic warming. Urban sprawl strongly impacts the urban ecosystems it creates and the natural and agro-ecosystems that it displaces and fragments. Here, we project urban sprawl changes for the next 50 years for the fast-growing Southeast U.S. Previous studies have focused on modeling population density, but the urban extent is arguably as important as population density per se in terms of its ecological and conservation impacts. We develop simulations using the SLEUTH urban growth model that complement population-driven models...
thumbnail
The Species Richness Maps included here are based on the Gap Analysis Project (GAP) habitat maps, which are predictions of the spatial distribution of suitable environmental and land cover conditions within the United States for individual species. Individual species habitat distribution models were summed to create the total richness for each vertebrate taxa. The summing process was coded in Python 2.7 and employed the arcpy module for geoprocessing steps. The code is documented in the log file which is included in the Sciencebase item along with the richness data for each taxa (See processing steps for file names and sciencebase urls). Mapped habitat distribution areas represent places where the environment is...
thumbnail
Processing constraints made it impractical to model the species habitat distributions across the full conterminous U.S. in one model. The modeling regions were used to stratify the conterminous U.S. into modeling extents that could be efficiently used in our workflow. The regions were based on grouping of the map zones developed for the National Land Cover Dataset production and were designed to partition the full extent into the minimal number of regions while maximizing the homogeneity of habitats within a region. Two versions of each modeling region were created one in which a buffer was applied to remove boundary issues when calculating metrics based on neighborhoods, and a version used to clip the final model...


    map background search result map search result map Large River Monitoring Forum Fish Assemblage Database 2016 USGS Gap Analysis Project - Additional Data – Modeling Regions FishTraits Database U.S. Geological Survey - Gap Analysis Project Bird Species Habitat Richness U.S. Geological Survey - Gap Analysis Project Mammal Species Habitat Richness U.S. Geological Survey - Gap Analysis Project Reptile Species Habitat Richness U.S. Geological Survey - Gap Analysis Project Amphibian Species Habitat Richness Ecoregion Based Aquatic Gap Distribution Models for Common Fluvial Fishes of the Conterminous U.S. Analysis and Visualization of Climate Information to Support USFWS Species Status Assessments Large River Monitoring Forum Fish Assemblage Database 2016 Analysis and Visualization of Climate Information to Support USFWS Species Status Assessments USGS Gap Analysis Project - Additional Data – Modeling Regions FishTraits Database Ecoregion Based Aquatic Gap Distribution Models for Common Fluvial Fishes of the Conterminous U.S. U.S. Geological Survey - Gap Analysis Project Bird Species Habitat Richness U.S. Geological Survey - Gap Analysis Project Mammal Species Habitat Richness U.S. Geological Survey - Gap Analysis Project Reptile Species Habitat Richness U.S. Geological Survey - Gap Analysis Project Amphibian Species Habitat Richness