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Data were collected by the River Studies Program, Texas Parks and Wildlife Department. River Studies is an interdisciplinary river and stream assessment program. Its primary goal is to assure sufficient quantity and quality of water to maintain the natural biodiversity of aquatic ecosystems and their associated wetlands and riparian lands. The program staff works to characterize aquatic ecosystems, evaluate impacts to those systems, and determine water quantity and quality needs to address policy and regulatory issues. Results from long-term projects provide data from large geographic areas to address broad-scale policy and regulatory issues. Aquatic biological samples (fish, mussels, and benthic macroinvertebrates)...
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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,...
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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,...
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This file describes a set of outputs from the Sea Level Affecting Marshes Model (SLAMM), which consists of rasters containing SLAMM’s coastal cover categories (classes) for a study area on the Gulf of Mexico (U.S.) coast. The model was used to simulate the impact of sea level rise (SLR) on these coastal cover classes, with an emphasis on wetlands, for the “Evaluation of Regional SLAMM Results to Establish a Consistent Framework of Data and Models” project. The project was performed by Warren Pinnacle Consulting, Inc., and Image Matters LLC. The project was funded by the Gulf Coast Prairie Landscape Conservation Cooperative (LCC). A coordinated network of landscape conservation cooperatives (each an “LCC”) is being...
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This file describes a set of outputs from the Sea Level Affecting Marshes Model (SLAMM), which consists of rasters containing SLAMM’s coastal cover categories (classes) for a study area on the Gulf of Mexico (U.S.) coast. The model was used to simulate the impact of sea level rise (SLR) on these coastal cover classes, with an emphasis on wetlands, for the “Evaluation of Regional SLAMM Results to Establish a Consistent Framework of Data and Models” project. The project was performed by Warren Pinnacle Consulting, Inc., and Image Matters LLC. The project was funded by the Gulf Coast Prairie Landscape Conservation Cooperative (LCC). A coordinated network of landscape conservation cooperatives (each an “LCC”) is being...
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This file describes a set of outputs from the Sea Level Affecting Marshes Model (SLAMM), which consists of rasters containing SLAMM’s coastal cover categories (classes) for a study area on the Gulf of Mexico (U.S.) coast. The model was used to simulate the impact of sea level rise (SLR) on these coastal cover classes, with an emphasis on wetlands, for the “Evaluation of Regional SLAMM Results to Establish a Consistent Framework of Data and Models” project. The project was performed by Warren Pinnacle Consulting, Inc., and Image Matters LLC. The project was funded by the Gulf Coast Prairie Landscape Conservation Cooperative (LCC). A coordinated network of landscape conservation cooperatives (each an “LCC”) is being...
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This dataset provides information on the current status and various other habitat and descriptive attributes of the native coastal vegetation for seven of the main Hawaiian Islands (i.e., does not include Ni`ihau).
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When a species is proposed for listing as endangered or threatened under the Endangered Species Act, the U.S. Fish and Wildlife Service must consider whether there are areas of habitat believed to be essential the species’ conservation. Those areas may be proposed for designation as “critical habitat.” Critical habitat is a term defined and used in the Act. It is a specific geographic area(s) that contains features essential for the conservation of a threatened or endangered species and that may require special management and protection. Critical habitat may include an area that is not currently occupied by the species but that will be needed for its recovery. An area is designated as “critical habitat” after the...
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This dataset was last updated February 2017. This version incorporates a revised version of the land cover classification, Terrestrial and Aquatic Habitat Map (DSLland), Version 3.1 developed by the University of Massachusetts, which included the addition of The Nature Conservancy’s Northeast lakes and ponds classification. The moose (Alces alces) is the largest member of the deer family and an iconic resident of northern forests. It has been chosen to represent the habitat needs of other species of wildlife that also use a mix of forest types and wetlands in northern New England and New York and require large areas of land to support their annual habitat needs. This dataset depicts the potential capability of...
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NOTE: Two data download links are provided. The first includes the data described below as a geographic point layer and as a .csv file. The second link is a data package containing: the annual probability of observing one individual, the annual probability of encountering a large flock, and the monthly probability of observing one individual, for the full set of 24 species (in .csv format), and the associated report “Mapping the distribution, abundance and risk assessment of marine birds in the Northwest Atlantic.” To improve display of this data on Data Basin the point data was converted to a raster grid. This map depicts the mean predicted probability of observing at least one individual Great Black-backed Gull...
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This dataset is one of a suite of products from the Nature’s Network project (naturesnetwork.org). Nature’s Network is a collaborative effort to identify shared priorities for conservation in the Northeast, considering the value of fish and wildlife species and the natural areas they inhabit. This dataset represents the relative potential to improve local aquatic connectivity by upgrading road-stream crossings. The model incorporates survey data from the North Atlantic Aquatic Connectivity Collaborative (NAACC). To view the current NAACC database go to https://streamcontinuity.org/database.htm. The Road Stream Crossing Upgrade Effects dataset and other datasets that augment or complement aquatic connectivity are...
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This dataset depicts the ecological integrity of locations (represented by 30 m grid cells) throughout the northeastern United States based on environmental conditions existing in approximately 2010 for aquatic systems.The values for this dataset were extracted from the Index of Ecological Integrity, Region-wide, Version 3.2 for all aquatic systems. Updated 09/2017. The metadata for the original dataset is as follows:This dataset was last updated 02/2017. This version includes a new tidal restrictions metric that assesses the effect of undersized culverts and bridges on tidal regime. The previous version (3.1) was updated on 05/2016 by incorporating a revised version of the land cover classification, DSLland Version...
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This dataset was last updated February 2017. This version incorporates a revised version of the land cover classification, Terrestrial and Aquatic Habitat Map (DSLland), Version 3.1 developed by the University of Massachusetts, which included the addition of The Nature Conservancy’s Northeast lakes and ponds classification.The Virginia Rail (Rallus limicola) is a medium-sized marsh bird that is more easily heard than seen. It has been chosen to represent the habitat needs of other species of wildlife that also use freshwater or slightly brackish marshes.This dataset depicts the potential capability of the landscape throughout the Northeastern United States to provide habitat for Virginia Rail, during the breeding...
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This dataset is a component of a complete package of products from the Connect the Connecticut project. Connect the Connecticut is a collaborative effort to identify shared priorities for conserving the Connecticut River Watershed for future generations, considering the value of fish and wildlife species and the natural ecosystems they inhabit. Click here to download the full data package, including all documentation. This dataset represents the climate response index for Blackpoll Warbler. Climate response is one of several different measures of landscape capability that reflect different decisions (or assumptions) regarding how to incorporate current versus future land use and climate changes. The climate response...
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This dataset is a component of a complete package of products from the Connect the Connecticut project. Connect the Connecticut is a collaborative effort to identify shared priorities for conserving the Connecticut River Watershed for future generations, considering the value of fish and wildlife species and the natural ecosystems they inhabit. Click here to download the full data package, including all documentation. This dataset represents the climate response index for Prairie Warbler. Climate response is one of several different measures of landscape capability that reflect different decisions (or assumptions) regarding how to incorporate current versus future land use and climate changes. The climate response...
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This shapefile was developed in a project that identified areas with potential habitat for priority amphibian and reptile species or that likely support a noteworthy diversity of reptile or amphibian species in the North Atlantic Landscape Conservation Cooperative (http://nalcc.databasin.org/pages/about-north-atlanticlcc) and Northeast Partners in Amphibian and Reptile Conservation (northeastparc.org) regions. Our approach spatially applied the Priority Amphibian and Reptile Conservation Area (PARCA) System Criteria and Implementation Guidelines (PARCA Guidance; Sutherland and deMaynadier 2012) to combine amphibian and reptile species occurrence data and spatial environmental variables to predict and map habitat...
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A vector line file of public/private streets compiled from orthoimagery and other sources that is attributed with street names, addresses, route numbers, routing attributes, and includes a related table of alternate/alias street names. If the purpose of using NYS Streets is for geocoding, the New York State Office of Information Technology Services (NYS ITS) has a publicly available geocoding service which includes the NYS Streets along with other layers. For more information about the geocoding service, please visit http://gis.ny.gov/gisdata/inventories/details.cfm?DSID=1278.
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These data were created as part of the National Oceanic and Atmospheric Administration Coastal Services Center's efforts to create an online mapping viewer depicting potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise (slr) and coastal flooding impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses.Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at: http://www.csc.noaa.gov/slr...
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These data were created as part of the National Oceanic and Atmospheric Administration Coastal Services Center's efforts to create an online mapping viewer depicting potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise (slr) and coastal flooding impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses.Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at: http://www.csc.noaa.gov/slr...
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Contours generated from 10m National Elevation Dataset and clipped to the boundary of Modoc National Wildlife Refuge.


map background search result map search result map Multistate Aquatic Resources Information System (MARIS) published 20131201 - Alabama fish sampling records 1953-2006 Multistate Aquatic Resources Information System (MARIS) published 20131201 - Indiana fish sampling records 1966-2008 Multistate Aquatic Resources Information System (MARIS) published 20141222 - Texas fish sampling records 1987-2013 Predicted Annual Probability of Observing at least One Great Black-backed Gull FWS Critical Habitat - Steelhead Landscape Capability for Moose, Version 3.0, Northeast U.S. Contours, 10ft, Modoc NWR Climate Response for Blackpoll Warbler, 2080, CT River Watershed Climate Response for Prairie Warbler, 2080, CT River Watershed Landscape Capability for Virginia Rail, Version 3.1, Northeast U.S. Aquatic Index of Ecological Integrity, Region-wide, Version 3.2, Northeast U.S. Sea Level Rise Estimates for Don Edwards San Francisco Bay NWR NOAA Sea Level Rise (1-6 ft) Data for San Diego Bay NWR Roads, New York Proposed draft PARCAs for Washington, D.C., 2016 Sea-Level Affecting Marshes Model 1.2m SLR - 2025 Sea-Level Affecting Marshes Model 1.5m SLR - 2050 Sea-Level Affecting Marshes Model 2.0m SLR - 2075 Road Stream Crossing Upgrade Effects, Northeast U.S. Hawaiian Islands Coastal Vegetation Survey 2013-2015 Contours, 10ft, Modoc NWR Climate Response for Blackpoll Warbler, 2080, CT River Watershed Climate Response for Prairie Warbler, 2080, CT River Watershed Hawaiian Islands Coastal Vegetation Survey 2013-2015 Multistate Aquatic Resources Information System (MARIS) published 20131201 - Alabama fish sampling records 1953-2006 Roads, New York Multistate Aquatic Resources Information System (MARIS) published 20141222 - Texas fish sampling records 1987-2013 Predicted Annual Probability of Observing at least One Great Black-backed Gull Sea-Level Affecting Marshes Model 1.2m SLR - 2025 Sea-Level Affecting Marshes Model 1.5m SLR - 2050 Sea-Level Affecting Marshes Model 2.0m SLR - 2075 Proposed draft PARCAs for Washington, D.C., 2016 FWS Critical Habitat - Steelhead Road Stream Crossing Upgrade Effects, Northeast U.S. Landscape Capability for Moose, Version 3.0, Northeast U.S. Landscape Capability for Virginia Rail, Version 3.1, Northeast U.S. Aquatic Index of Ecological Integrity, Region-wide, Version 3.2, Northeast U.S. Multistate Aquatic Resources Information System (MARIS) published 20131201 - Indiana fish sampling records 1966-2008 NOAA Sea Level Rise (1-6 ft) Data for San Diego Bay NWR Sea Level Rise Estimates for Don Edwards San Francisco Bay NWR