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Terrestrial-based planning units of 1 kilometer (km) hexagons. There are about 600,000 units populated with conservation targets from around the Appalachian region. One of the targets included is the optimization from the Aquatics-only target scenario. The tables include summaries of information within each catchment including predictor variables.
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Regional Climate Centers (RCC) Palmer Drought Severity Index (PDSI: drought index). Recent 10-year climatology for drought in summer months, 2005-2014.Drought is one of the most consequential aspects of variation in precipitation and temperature patterns in terms of its impacts on natural ecosystems and human systems. The production of food and clean water can be strongly affected, as can forest products production, outdoor recreation, ecosystem processes such as wildland fire, and many other processes affecting ecosystem services. Having a grasp on recent ranges of variability in drought conditions can provide a context for understanding ongoing and future climate change and its impacts on ecosystem services. Although...
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Total Basal Area (BA) for all tree species is in square feet per acre.To monitor the potential hazards posed by invasive pathogens, the U.S. Forest Service’s Forest Health Technology Enterprise Team (FHTET) created a national database designed to assess the potential hazards on tree mortality and identify forest ecosystems at risk of invasive or pathogenic threats.When the introduction or increased activity of invasive or pathogenic plant and animal species dramatically alters the structure and function of ecosystems, the benefits that those ecosystems provide to people are also affected. Additionally, the negative effects of forest pathogens and invasives on certain species may be exacerbated by climate change,...
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Using GIS, the SILVIS Lab at the University of Wisconsin-Madison calculated housing and population counts at the block group level with data from the decennial U.S. Census to produce a spatially explicit dataset for the conterminous U.S. This data can help to understand where on the landscape the most and the least dense populations of people live. Housing density can be used as an indicator of urbanization and land-use intensification.
State Soil Geographic data (STATSGO) depict information about soil features on or near the surface of the Earth. These data are collected as part of the National Cooperative Soil Survey.This dataset is a digital general soil association map developed by the National Cooperative Soil Survey. It consists of a broad based inventory of soils and non-soil areas that occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. The soil maps for STATSGO are compiled by generalizing more detailed soil survey maps. Where more detailed soil survey maps are not available, data on geology, topography, vegetation, and climate are assembled, together with Land Remote Sensing Satellite...
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This dataset depicts Lynx (Lynx canadensis) habitat in the Northern Appalachians predicted using the spatially explicit population model PATCH under the population cycling across the region scenario (C1; Carrol 2007). This dataset represents one of several scenarios testing the interacting effects of population cycling, trapping, territory size, and climate change on lynx populations. Static habitat suitability models for lynx were fed through PATCH to predict source and sink habitat areas across the landscape. The static models for lynx were created based on a logistic regression model of reported lynx locations against the proportion of the landscape in deciduous forest cover and annual snowfall. Demographic parameters...
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Landscape conservation cooperatives (LCCs) are conservation-science partnerships between the U.S. Fish and Wildlife Service, U.S. Geological Survey (USGS), and other federal agencies, states, tribes, NGOs, universities and stakeholders within a geographically defined area. They inform resource management decisions to address national-scale stressors, including habitat fragmentation, genetic isolation, spread of invasive species, and water scarcity, all of which are accelerated by climate change. This dataset represents the geographic boundary of the Appalachian LCC.
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In order to understand ongoing and future climate change and its impacts on ecosystem services, we must have a grasp on historical ranges of climate variability. Fortunately, detailed weather station data are available in the United States for thousands of locations over the last century. Moreover, sophisticated approaches have been developed for translating these measurements into unified datasets across the U.S., including climate estimates for locations that lack station data.The PRISM (Parameter-elevation Regressions on Independent Slopes Model) Climate Group produces such estimates from weather station data at daily, monthly, and annual time steps, incorporating data from 1895 to the present day. PRISM methods...
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Regional Climate Centers (RCC) Palmer Drought Severity Index (PDSI: drought index). Recent 10-year climatology for drought in all months, 1950-1999.Drought is one of the most consequential aspects of variation in precipitation and temperature patterns in terms of its impacts on natural ecosystems and human systems. The production of food and clean water can be strongly affected, as can forest products production, outdoor recreation, ecosystem processes such as wildland fire, and many other processes affecting ecosystem services. Having a grasp on recent ranges of variability in drought conditions can provide a context for understanding ongoing and future climate change and its impacts on ecosystem services. Although...
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The Urban Influence measure developed by the U.S. Department of Agriculture (USDA) Economic Research Service (ERS) identifies metropolitan counties by population size and outlines where natural area and urban boundaries exist. This can help to indicate where increased stresses on ecosystem services may occur.The boundaries between urban, rural, and natural areas in Appalachia are increasingly defined by the accelerated demand for ecosystem services from growing urban populations. Increases in “urbanness” not only stress the capacity of affected landscapes to provide ecosystem services, but also magnify the pressure on nearby natural areas to provide those services to more people. However, opportunities exist for...
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Aquatic connectivity was modeled across the entire Landscape Conservation Cooperative geography at the catchmentand watershed scales. To evaluate aquatic connectivity, the density of dams and road crossings was used as these areknown to disrupt connectivity within aquatic systems. Connectivity data for dams and road crossings werecreated from the StreamCat database. The density of dams and roads was multiplied, at the catchment and watershedlevels, by the relative influence of each connectivity variable in the Boosted Regression Tree (BRT) models and then the connectivity variables were averaged. A single aquatic connectivity score was then assigned to each catchment. This aquaticconnectivity score was used to modify...
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These datasets are products of Phase II of the Appalachian Landscape Conservation Cooperative’s (LCC) landscape conservation design (LCD) created by Clemson University as part of the LCC-funded project, “Interactive Conservation Planning for the Appalachian LCC”. The Appalachian NatureScape Design incorporates and models newly developed data and information from all Appalachian LCC funded research projects as well as key existing datasets from partners to produce a series of maps that integrate aquatic connectivity with terrestrial significant habitats to guide conservation planning and decision making.Conservation Planning, a process of spatially identifying and prioritizing lands and waters important for functioning...
Categories: Data; Tags: Academics & scientific researchers, AppLCC, Appalachian, Conservation NGOs, Conservation Plan/Design/Framework, All tags...
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This dataset depicts Marten (Martes americana) habitat in the Northern Appalachians predicted using the spatially explicit population model PATCH under the current trapping rate scenario (B2; Carrol 2007). This dataset represents one of several scenarios testing the interacting effects of trapping, timber harvest, habitat restoration, and climate change on marten populations. Static habitat suitability models for marten were fed through PATCH to predict source and sink habitat areas across the landscape. The static models for marten were created based on annual snowfall and percentage of older conifer and mixed forest. Demographic parameters were obtained from the literature and from calibration of the model. Several...
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This dataset combines the work of several different projects to create a seamless data set for the contiguous United States. Data from four regional Gap Analysis Projects and the LANDFIRE project were combined to make this dataset. In the northwestern United States (Idaho, Oregon, Montana, Washington and Wyoming) data in this map came from the Northwest Gap Analysis Project. In the southwestern United States (Colorado, Arizona, Nevada, New Mexico, and Utah) data used in this map came from the Southwest Gap Analysis Project. The data for Alabama, Florida, Georgia, Kentucky, North Carolina, South Carolina, Mississippi, Tennessee, and Virginia came from the Southeast Gap Analysis Project and the California data was...
Categories: Data; Types: ArcGIS REST Map Service, Map Service; Tags: Alabama, Alaska, Aleutian and Berind Sea Islands, Appalachian, Arctic, Northwestern Interior Forest, All tags...
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This dataset depicts Wolf (Canis lupus) habitat in the Northern Appalachians predicted using the spatially explicit population model PATCH under the current habitat effectiveness plus moderate US mortality plus moderate Canadian mortality scenario (Carroll 2003). This dataset represents one of several scenarios testing the effects of habitat effectiveness and mortality rates on wolf populations. Static habitat suitability models for wolf were fed through PATCH to predict source and sink habitat areas across the landscape. The static models for wolf were created based on current and projected habitat effectiveness, which were based in part on road density and human population density. Wolf fecundity rates were based...
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A practical model of Bicknell's thrush distribution in the northeastern United States J. D. Lambert, K. P. McFarland, C. C. Rimmer, S. D. Faccio, J. L. Atwood Wilson Bulletin 01/2005; 117:1-11. ABSTRACT Bicknell's Thrush (Catharus bicknelli) is a rare habitat specialist that breeds in dense balsam fir (Abies balsamea) and red spruce (Picea rubens) forests at high elevations in the northeastern United States. Ongoing and projected loss of this forest type has led to increased demand for information on the species' status throughout the region. We used elevation, latitude, and forest type to construct a model of Bicknell's Thrush distribution in New York, Vermont, New Hampshire, and Maine. The model predicts the...
map background search result map search result map Potential Bicknell's Thrush United States Breeding Habitat Predicted Wolf Habitat in the Northern Appalachians: Current Habitat Effectiveness + Moderate US Mortality + Moderate Canadian Mortality Scenario Predicted Marten Habitat in the Northern Appalachians: Current Trapping Rate Scenario Predicted Lynx Habitat in the Northern Appalachians: Population Cycling Scenario U.S. Geological Survey Gap Analysis Program- Land Cover Data v2.2- Formation Land Use Drought The Palmer Drought Severity Index Winter Mean 2005-2014 Drought The Palmer Drought Severity Index Annual Mean 1950-1999 Percent of Tree Basal Area at Risk of Forest Pathogens Economic Research Council Urban Influence Codes 2013 Density of upstream dams_rivers Appalachian LCC Boundary_applcc-shp-004 SILVIS Projected Change in Housing Density 2000-2030 NatureScape Design_Landscape Conservation Design II Grouped Data NatureScape, Aquatic Appalachian LCC Final Watershed Scores NatureScape, Integrated Planning Units PRISM Winter Minimum Normal Temperature Normal 1981-2010 NatureScape, Aquatic Modeling Catchment Scores Tennessee State Wildlife Action Plan Priorities Upstream of Aquatic Habitats Tennessee State Wildlife Action Plan 2015 Aquatic Habitat Priorities Tennessee State Wildlife Action Plan Priorities Upstream of Aquatic Habitats Tennessee State Wildlife Action Plan 2015 Aquatic Habitat Priorities Potential Bicknell's Thrush United States Breeding Habitat Predicted Marten Habitat in the Northern Appalachians: Current Trapping Rate Scenario Predicted Lynx Habitat in the Northern Appalachians: Population Cycling Scenario Predicted Wolf Habitat in the Northern Appalachians: Current Habitat Effectiveness + Moderate US Mortality + Moderate Canadian Mortality Scenario Economic Research Council Urban Influence Codes 2013 NatureScape Design_Landscape Conservation Design II Grouped Data NatureScape, Aquatic Appalachian LCC Final Watershed Scores NatureScape, Integrated Planning Units NatureScape, Aquatic Modeling Catchment Scores Appalachian LCC Boundary_applcc-shp-004 Density of upstream dams_rivers SILVIS Projected Change in Housing Density 2000-2030 Drought The Palmer Drought Severity Index Winter Mean 2005-2014 Drought The Palmer Drought Severity Index Annual Mean 1950-1999 PRISM Winter Minimum Normal Temperature Normal 1981-2010 Percent of Tree Basal Area at Risk of Forest Pathogens U.S. Geological Survey Gap Analysis Program- Land Cover Data v2.2- Formation Land Use