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This service definition contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of North Dakota. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of North Dakota. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative...
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This service definition contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of Pennsylvania. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of Pennsylvania. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative...
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This service definition contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of New Hampshire. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of New Hampshire. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative...
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This service definition contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the Midwest Glacial Lakes Partnership. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the boundary of the Midwest Glacial Lakes Partnership. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they...
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This service definition contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of Oklahoma. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of Oklahoma. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of...
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Land cover describes the physical material at the surface of the earth and includes forests, shrublands, wetlands, water bodies, and other abiotic elements (e.g., rock). Land cover dynamics are influenced by large‐scale processes like climate and natural disturbance, but vegetation can also have important feedback on these processes (Mack et al. 2005). Land cover classes describe fine-scale variation in vegetation which is an important component of biodiversity, and affects the distribution of other taxa within ranges determined by climatic factors. Consequently, land cover maps are increasingly used for large‐scale modelling and mapping of habitat for caribou, birds and other wide-ranging species (e.g., Environment...
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Rule: Urban open space index areas within Upland Hardwood in top 30% Reason: Many rare plants that require disturbance in the Upland Hardwood ecosystem are not effectively covered by LCC indicators and natural disturbances are no longer sufficient to maintain their populations. Many rare upland hardwood plants now rely on railroad tracks, roadsides, and small human created prairies for their survival. Cultivation and establishment of rare disturbance dependent upland hardwood plants in high priority Blueprint areas near urban areas could provide a unique way for urban areas to improve the overall integrity of the upland hardwoods ecosystem
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Coastal bathymetric depth, measured in meters at depth values of: -10, -20, -30, -40, -50, -60, -70, -80, -90, -100, -150 -200, -400, -600
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The connectivity result files from Circuitscape represent the "adjusted cumulative current density" flowing across the landscape for each of several species, at a 90-meter resolution across the South Atlantic Landscape Conservation Cooperative region. Rasters are classified using quantiles with 20 categories (each 5% of region) to integer scores from 1-20. 1 = lowest 5% of the landscape, 20= top 5% of landscape Expert opinion was used to define a resistance surface for each of the target animals, with higher resistance representing map units expected to be more difficult and dangerous for species to move through. A set of nodes for each species, with node points indicating center locations for potential source populations,...
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This raster map represents the presence/absence of predicted habitat of a single avian species. Since it is one of 40 species whose predicted habitats were modeled, the processes used to create this raster map may differ from other species in this dataset. Processes were unique because while a majority of models incorporated land use/land cover data as the primary input, several other environmental features were incorporated for specific species depending on life history and habitat requirements noted both in published literature and expert review with biologists.
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Geographic ranges of pine savanna and woodland types in the southeastern U.S. Divisions are based on composition and abundance of overstory trees and ground-layer grasses. Overstory tree species include longleaf pine and slash pine. Data for Figure 4 in:Peet, R.K., Platt, W.J., Costanza, J.K. 2018. The ecology and management of fire-maintained savanna ecosystems of the Southeastern U.S. Coastal Plain. Chapter in: Ecology and Recovery of Eastern Old-Growth Forests. Editors: Keeton, W., Barton, A., Island Press.
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This data layer depicts lands and waters administered by the U.S. Fish and Wildlife Service (USFWS) in the Pacific Southwest Region. It may also include inholdings that are not administered by USFWS. The primary source for this inofmation is the USFWS Realty Program.
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This data was developed to support the Santa Clara Valley Habitat Conservation Plan
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Vegetation and land cover data for Upper Klamath NWR. This dataset is based on interpretation of 2014 near-infrared imagery produced by the National Aerial Imagery Program of the U.S. Department of Agriculture with input on the general vegetation composition provided by local refuge staff. Field data at the species level were not available and further work is needed to refine this product to meet the convention of the National Vegetation Classification System. In addition, no validation was performed on this dataset.
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This dataset represents vegetation and landcover for Ruby Lake NWR. It was produced by the U.S. Fish and Wildlife Service, with field data collection provided by the University of Nevada, Reno. The process was iterative and took place over two calendar years and two field seasons. Additional data points were acquired in order to validate the map product and to develop a product that met a minimal accuracy level of 80%. The final classification is based on 2013 National Agricultural Imagery Program (NAIP) orthophotography, produced by the U.S. Department of Agriculture but additional datasets were also utilized, including a digital elevation model. The classification methodology uses a hybrid approach of pixel-based...
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This layer represents land cover classes mapped within the Modoc Wildlife Refuge. Mapping was completed using a combination of field data, object-based image analysis using Feature Analyst, and photo interpretation. Source data included 2005 CIR NAIP digital aerial photography, and Modoc National Wildlife Refuge data layers. Field data was collected by USFWS staff in May and June of 2007.
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This dataset depicts areas open to hunting on Ruby Lake NWR. Hunting is only allowed for the following: ducks (including mergansers), dark geese (including white-fronted and Canada geese), coots, common moorhens and snipe. All other species are prohibited from hunting within the refuge bounds.
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The dataset is composed of four tables containing environmental DNA (eDNA) data, fish capture data, and site location information from Round Goby (Neogobius melanostomus) surveys conducted on parts of the Champlain Canal and upper Hudson River, and adjacent areas, in New York during 2022 and 2023. First posted May 5, 2022, ver. 1.0 Revised June 2022, ver. 2.0 Revised August 2022, ver. 3.0 Revised November 2022, ver. 4.0 Revised February 2023, ver. 5.0 Revised May 2023, ver. 6.0 Revised June 2023, ver. 7.0 Revised September 2023, ver. 8.0 Revised October 2023, ver. 9.0 Revised December 2023, ver. 10.0
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Metadata specific to this state's data is not available. The MARIS Master metadata record can be accessed to help provide general data descriptions and guidance to users. MARIS is an internet-based information sharing network that allows multiple states to provide a common set of variables via a single web interface. MARIS is not a “dataset” but rather links specific content of multiple states’ datasets. MARIS does not capture all of the information from a state’s aquatic dataset – only a subset of data collected as part of aquatic species sampling surveys. The MARIS structure was developed by a consortium of state fish and wildlife agencies and implemented through contracts with various universities. In the past,...


map background search result map search result map SLAMM Sea Level Rise Model - A1Fi Multistate Aquatic Resources Information System (MARIS) published 20131201 - Kentucky fish sampling records 2000-2012 Functional Connectivity Index: Pine Snake and Eastern Diamondback Prothonotary Warbler: DSL Bathymetric Contours for East Coast Draft Conservation Action: Species Management in Upland Hardwoods Santa Clara Valley Habitat Conservation Plan National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for New Hampshire: ESRI Service Definition National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for North Dakota: ESRI Service Definition National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Oklahoma: ESRI Service Definition National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Pennsylvania: ESRI Service Definition National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Midwest Glacial Lakes Partnership: ESRI Service Definition Landcover and Vegetation, Ruby Lake NWR Hunting Area, Ruby Lake NWR Land Cover, Modoc National Wildlife Refuge Land Cover and Vegetation data for Upper Klamath National Wildlife Refuge National Wildlife Refuge, Interest Boundaries, Pacific Southwest Region North American Land Cover for NWB LCC Area Pine Savannas And Woodlands of the Southeastern U.S. Environmental DNA data for Round Goby from the Champlain Canal (ver. 10.0, December 2023) Hunting Area, Ruby Lake NWR Land Cover, Modoc National Wildlife Refuge Environmental DNA data for Round Goby from the Champlain Canal (ver. 10.0, December 2023) Santa Clara Valley Habitat Conservation Plan National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for New Hampshire: ESRI Service Definition National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Pennsylvania: ESRI Service Definition National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for North Dakota: ESRI Service Definition National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Oklahoma: ESRI Service Definition Multistate Aquatic Resources Information System (MARIS) published 20131201 - Kentucky fish sampling records 2000-2012 National Wildlife Refuge, Interest Boundaries, Pacific Southwest Region SLAMM Sea Level Rise Model - A1Fi Draft Conservation Action: Species Management in Upland Hardwoods Functional Connectivity Index: Pine Snake and Eastern Diamondback National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Midwest Glacial Lakes Partnership: ESRI Service Definition Prothonotary Warbler: DSL Pine Savannas And Woodlands of the Southeastern U.S. Bathymetric Contours for East Coast North American Land Cover for NWB LCC Area