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This data set includes geospatial data and tables providing location, environmental, and vegetation data collected in 2017 and 2018 at the Little Saint Francis River chat pile restoration site, Fredericktown, Madison County, Missouri. Restoration actions are being implemeneted as part of the settlement for the Madison County Mines Superfund site to compensate the public for losses of natural resources and the services they provide as part of the Natural Resource Damage Assessment and Restoration Southeast Missouri Lead Mining District case. Data were collected prior to and during the early stages of restoration actions to restore bottomland forest habitat, reduce invasive plant species abundance, and improve upland...
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Collection of 4 assessments for Upland Streams and Rivers. The Condition Index ranks stream segments according to how well they meet the Desired State described qualitatively and quantitatively in the draft Integrated Science Agenda (v4). From the Condition Index, 3 assessments are derived that rank opportunities for management and restoration of conditions included in the Condition Index – Watershed Land Use, Riparian Cover, and Stream Meander. Watershed Land Use management opportunities are based on the proportion of undisturbed land in the contributing (i.e. cumulative) watershed such that stream segments meeting the Desired State are considered Maintenance opportunities (values 5-6). Those that do not meet the...
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The purpose of this data set is support resource allocation decisions (i.e. where to invest conservation effort) within the Gulf Coastal Plains and Ozarks Landscape Conservation Cooperative. The Protection Opportunity action map for the Upland Hardwood (Woodland) habitat system ranks pixels (250-m) based primarily on the Upland Hardwood (Woodland) Condition Index such that unprotected sites within healthy landscapes are ranked higher than those in very fragmented landscapes. Ranks are increased by information on existing partner interest (i.e. stated priority areas), elevated risk of change by 2060, and predicted occupancy of a majority of species identified in the GCPO LCC’s draft Integrated Science Agenda (v4)....
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This data represents an assessment of forest composition used in the ecological assessment of upland hardwood systems by the GCPO LCC. We used a combination of remote sensing products including 2011 National Land Cover Database (NLCD) forest classes and the 2011 MAV forest classification layer produced by the Lower Mississippi Valley Joint Venture to delineate patches of all forest types in the GCPO LCC. We used NLCD as the primary data source when assessing forests outside the GCPO LCC MAV subgeography, and the LMVJV forest classification as the primary data source for forest assessment within the MAV. NLCD was developed using 2011 Landsat TM imagery, with forest classes including only areas with trees exceeding...
Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: BIOSPHERE, BIOSPHERE, ECOSYSTEMS, ECOSYSTEMS, FORESTS, All tags...
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This data set shows the grasslands priority conservation areas (GPCAs) within North America’s Central Grasslands, an ecosystem considered among the most threatened in the continent and the world. GPCAs are defined as areas of tri-national importance due to their ecological significance and threatened nature, which are in need of international cooperation for their successful conservation. The 59 GPCAs were identified by biodiversity experts through research and a workshop co-organized by the Commission for Environmental Cooperation (CEC) and the Nature Conservancy in 2004 and Rocky Mountain Bird Observatory in 2010. This is an amended version of the 2007 data set.
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This dataset contains landscape-scale greater sage-grouse Preliminary General Habitat. Specifically, it represents the remaining Sagebrush, Perennial grassland, Conifer encroachment, and some Persistence greater than 25% not accounted for in the 2012 Preliminary Priority Habitat dataset (Version 2 - April 2012). A combination of Key Habitat (Sather-Blair et al., 2000; ISAC 2006; BLM 2012), important winter and breeding habitat, local priority areas (spatially identified by the local working groups, BLM, IDFG biologists), known migration movement corridors, the revised 2011PA polygons, and exclusion of modeled agricultural and timber lands were used to further refine the 2012 Preliminary Priority Habitat (PPH) and...
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Sage-grouse core areas are habitats associated with 1) Montana's highest densities of sage-grouse (25% quartile), based on male counts and/or 2) sage-grouse lek complexes and associated habitat important to sage-grouse distribution. The data are intended for display of sage grouse core areas in Montana. The data are intended for initial resource review and conservation planning. For evaluating or reviewing site specific applications Montana Fish, Wildlife & Parks (FWP) recommends contacting the appropriate FWP Regional office. These are the Montana SageGrouse Core Areas 2010 polygons for Idaho-SW Montana Greater Sage Grouse Subregion. Areas that overlap into Idaho do not apply to Idaho and may represent difference...
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For the Green River Basin Landscape Conservation Design (GRB LCD) assessment, we mapped the vulnerability of riparian habitat for terrestrial species and process. Using a vulnerability framework, we defined Sensitivity (S) as the percent riparian vegetation within the valley bottom and Exposure (E) as the amount of human modification within the valley bottom. For each 12-digit hydrologic unit code within the GRB LCD we summarized the riparian sensitivity and exposure to human modification. We also computed Potential Impact (PI), and Adaptive Capacity (AC) metrics at the HUC12 level. PI is the square root transformed product of human modification exposure and riparian sensitivity. AC for riparian exposure to human...
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This project had two primary goals: 1) To develop a process for integrating data from multiple sources to improve predictions of climate impacts for wildlife species; and 2) To provide data on climate and related hydrological change, fire behavior under future climates, and species’ distributions for use by researchers and resource managers.We present within this report the process used to integrate species niche models, fire simulations, and vulnerability assessment methods and provide species’ reports that summarize the results of this work. Species niche model analysis provides information on species’ distributions under three climate scenarios and time periods. Niche model analysis allows us to estimate the...
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This cultural resource indicator is an index of sites on the National Register of Historic Places surrounded by limited urban development. It identifies significant historic places that remain connected to their context in the natural world.Reason for SelectionLow-urban historic landscapes indicate significant cultural landscapes whose cultural context has been less impacted by urban growth. Cultural landscapes are “properties [that] represent the combined works of nature and of man” (UNESCO 2012). Reductions in natural habitat within these cultural landscapes reduce their overall historic and cultural value.Input DataThe National Register of Historic Places reflects what Americans value in their historic built...
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Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated...
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We developed spatial summary (GIS) layers for a study of factors influencing the distribution of cave and karst associated fauna within the Appalachian Landscape Conservation Cooperative region, one of 22 public-private partnerships established by the United States Fish and Wildlife Service to aid in developing landscape scale solutions to conservation problems (https://lccnetwork.org/lcc/appalachian). We gathered occurrence data on cave-limited terrestrial and aquatic troglobiotic species from a variety of sources within the Appalachian LCC region covering portions of 15 states. Occurrence records were developed from the scientific literature, existing biodiversity databases, personal records of the authors, museum...
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We developed spatial summary (GIS) layers for a study of factors influencing the distribution of cave and karst associated fauna within the Appalachian Landscape Conservation Cooperative region, one of 22 public-private partnerships established by the United States Fish and Wildlife Service to aid in developing landscape scale solutions to conservation problems (https://lccnetwork.org/lcc/appalachian). We gathered occurrence data on cave-limited terrestrial and aquatic troglobiotic species from a variety of sources within the Appalachian LCC region covering portions of 15 states. Occurrence records were developed from the scientific literature, existing biodiversity databases, personal records of the authors, museum...
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We developed spatial summary (GIS) layers for a study of factors influencing the distribution of cave and karst associated fauna within the Appalachian Landscape Conservation Cooperative region, one of 22 public-private partnerships established by the United States Fish and Wildlife Service to aid in developing landscape scale solutions to conservation problems (https://lccnetwork.org/lcc/appalachian). We gathered occurrence data on cave-limited terrestrial and aquatic troglobiotic species from a variety of sources within the Appalachian LCC region covering portions of 15 states. Occurrence records were developed from the scientific literature, existing biodiversity databases, personal records of the authors, museum...
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This dataset represents the variety (unique structural classes: water, bare, herbaceous, short shrubs, medium shrubs, short trees, tall trees) within 1 ha of bottomland areas. Traditional image interpretation cues were used to develop the polygons, such as shape, size, pattern, tone, texture, color, and shadow, from high resolution, true color, aerial imagery (0.3m resolution), acquired for the project. Additional, public available aerial photos (NAIP, 2011) were used to cross-reference cover classes. As with any digital layer, this layer is a representation of what is actually occurring on the ground. Errors are inherent in any interpretation of ground qualities. Due to the "snapshot" nature of the aerial photos,...
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This dataset represents the relative average amount of non-woody cover within 2 ha) of bottomland along the Colorado River from the Colorado state line (San Juan and Grand Counties, Utah) to the southern Canyonlands NP boundary, as of September 2010. Traditional image interpretation cues were used to develop the polygons, such as shape, size, pattern, tone, texture, color, and shadow, from high resolution, true color, aerial imagery (0.3m resolution), acquired for the project. Additional, public available aerial photos (NAIP, 2011) were used to cross-reference cover classes. As with any digital layer, this layer is a representation of what is actually occurring on the ground. Errors are inherent in any interpretation...
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This dataset represents ease of access to bottomland areas for vegetation treatments. Access may be by road, 4x4 near road, hike in by field crews or requiring overnight camping or raft access. Access is considered for each side of the river separately.
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This data set shows the extent of the Colorado River Conservation Planning project bottomland area as delineated by topography and vegetation, The bottomland area is subdivided into 1 km polygons measured from the upstream project boundary. Reach breaks were determined by large topographic shifts and/or tributary junctions by John Dohrenwend. Please see the project report for more details.
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This is a model showing general habitat diversity, including both the structural and cover type diversity. See Open File Report, Rasmussen and Shafroth, Colorado River Conservation Planning for geoprocessing details.


map background search result map search result map North America Grassland PCAs 2010 Greater Sage-Grouse Preliminary General Habitat (Version 2, April 2012) for Idaho SW Montana Greater Sage-grouse Core Areas Cave and Karst Biota Modeling in the Appalachian LCC - Predicted Amphipods in sampled 20km grid cells Cave and Karst Biota Modeling in the Appalachian LCC - Predicted spiders in all 20km grid cells in karst Cave and Karst Biota Modeling in the Appalachian LCC - Predicted endemics in sampled 20km grid cells Mean Forest Composition in 10 km Landscape (GCPO LCC) Upland Hardwood Woodland Protection Opportunities Upland Streams & Rivers Grouped Assessments Conservation Planning for the Colorado River in Utah - General Diversity Model Output Data for Colorado River in Utah Conservation Planning for the Colorado River in Utah - Diversity of All Structural Types for General Diversity Model 12 Digit Hucs for Winter Roost Sites for Northern Long-eared Bats in Eastern North Carolina Conservation Planning for the Colorado River in Utah - Open Areas for Open Land Species Model Conservation Planning for the Colorado River in Utah - Access to the Site for Relative Cost of Restoration Model Final Report: Vulnerability of Riparian Obligate Species in the Rio Grande to the Interactive Effects of Fire, Hydrological Variation and Climate Change Vulnerability of Riparian Habitat to Land Uses in the Green River Basin Conservation Planning for the Colorado River in Utah - Bottomland Boundary of the Colorado River Divided at Homogeneous River Reaches Pre-restoration vegetation data, Little Saint Francis River chat pile site, Missouri, USA, 2017 and 2018 DisMOSH, Cost, MOSH_Shoreline: Distance to foraging areas for piping plovers including foraging shoreline, cost mask, and least-cost path distance: Smith Island, VA, 2014 Indicator: Low Urban Historic Pre-restoration vegetation data, Little Saint Francis River chat pile site, Missouri, USA, 2017 and 2018 DisMOSH, Cost, MOSH_Shoreline: Distance to foraging areas for piping plovers including foraging shoreline, cost mask, and least-cost path distance: Smith Island, VA, 2014 Conservation Planning for the Colorado River in Utah - Open Areas for Open Land Species Model Conservation Planning for the Colorado River in Utah - General Diversity Model Output Data for Colorado River in Utah Conservation Planning for the Colorado River in Utah - Diversity of All Structural Types for General Diversity Model Conservation Planning for the Colorado River in Utah - Access to the Site for Relative Cost of Restoration Model Conservation Planning for the Colorado River in Utah - Bottomland Boundary of the Colorado River Divided at Homogeneous River Reaches SW Montana Greater Sage-grouse Core Areas 12 Digit Hucs for Winter Roost Sites for Northern Long-eared Bats in Eastern North Carolina Final Report: Vulnerability of Riparian Obligate Species in the Rio Grande to the Interactive Effects of Fire, Hydrological Variation and Climate Change Greater Sage-Grouse Preliminary General Habitat (Version 2, April 2012) for Idaho Vulnerability of Riparian Habitat to Land Uses in the Green River Basin Cave and Karst Biota Modeling in the Appalachian LCC - Predicted endemics in sampled 20km grid cells Upland Streams & Rivers Grouped Assessments Upland Hardwood Woodland Protection Opportunities Mean Forest Composition in 10 km Landscape (GCPO LCC) Indicator: Low Urban Historic Cave and Karst Biota Modeling in the Appalachian LCC - Predicted Amphipods in sampled 20km grid cells Cave and Karst Biota Modeling in the Appalachian LCC - Predicted spiders in all 20km grid cells in karst North America Grassland PCAs 2010