Landscape Capability for Virginia Rail, Version 3.1, Northeast U.S.

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 season, based on environmental conditions existing in approximately 2010. Landscape capability integrates factors influencing climate suitability, habitat capability, and other biogeographic factors affecting the species’ prevalence in the area. All locations are scored on a scale from 0 to 1, with a value of 0 indicating no capacity to support the species and 1 indicating optimal conditions for the species (not all species values reach 1).

This species dataset is one of a larger set of results developed by the Designing Sustainable Landscapes project led by Professor Kevin McGarigal of UMass Amherst. The species datasets developed under the project include the following:

  1. Landscape capability datasets for a set of species intended to represent a broader set of wildlife species, and associated ecosystems, that collectively encompass a majority of the terrestrial, wetland, and coastal ecosystems of the Northeast. For each species, the datasets include projections of future landscape capability, taking into account several scenarios of possible future development, climate, and forest change, for the year 2080.

2. Datasets for each species that compare 2010 results to future scenarios for 2080. These include areas where the species could most likely be expected to persist, areas where it might be able colonize with future climate change, and areas where the species might experience a loss of suitable habitat.

More information and detailed documentation for the Designing Sustainable Landscapes project, which includes many additional datasets besides the species datasets, is available at: http://www.umass.edu/landeco/research/dsl/dsl.html.

The 2010 Northeast Landscape Capability Dataset for this species represents the integration of three models:

1. A habitat capability model developed using a spatially explicit, GIS-based wildlife habitat modeling framework called “HABIT@” developed by the Landscape Ecology Lab of the University of Massachusetts Amherst.

2. A climate niche model based on an analysis of the climate conditions (circa 2010) that are most suitable for the species in eastern North America.

3. A prevalence model intended to capture biogeographic factors influencing the distribution of a species that are not reflected in the habitat capability or climate niche models.

Both the climate niche and prevalence models are based on field surveys for the species (e.g., the Breeding Bird Survey). The habitat capability models developed using HABIT@ reflect the quantity, quality, and accessibility (collectively referred to as “capability”) of habitat across the landscape for each year assessed. The habitat models are based on ecological settings grids (spatial datasets) developed for the Northeast, such as cover type (largely derived from the Northeast Terrestrial Habitat Map prepared by The Nature Conservancy and Northeastern states), roads and development, and forest biomass (for forest species). The models are spatially-explicit: the value at each cell (location) depends not only on the resources available at that cell, but on resources available in the neighborhood, on the configuration of those resources, and nearby impediments to movement. However, HABIT@ does not model population dynamics or population viability.

A two-page summary of this model is available for download with this dataset (or click here). Detailed documentation on the development of all of the species datasets, including this Northeast Landscape Capability Dataset, is available at: http://www.umass.edu/landeco/research/dsl/documents/dsl_documents.html. The documentation includes a list of all the species for which models have been or are being developed and discusses limitations and constraints for using the datasets.

Data and Resources

Field Value
accessLevel public
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identifier 56d08688e4b015c306ee98cd
metadata_type geospatial
modified 2018-10-30
old-spatial {"type": "Polygon", "coordinates": [[[-83.67, 36.67], [-66.840985, 36.67], [-66.840985, 47.464716], [-83.67, 47.464716], [-83.67, 36.67]]]}
publisher LCC Network
resource-type Dataset
source_datajson_identifier true
source_hash 30ee514ef641c6b1c49dd6b3fa2905f196a17df3
source_schema_version 1.1
spatial {"type": "Polygon", "coordinates": [[[-83.67, 36.67], [-66.840985, 36.67], [-66.840985, 47.464716], [-83.67, 47.464716], [-83.67, 36.67]]]}
theme {geospatial}
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • amerigeo
  • amerigeoss
  • biota
  • ckan
  • environment
  • geo
  • geoss
  • national
  • north-america
  • planningcadastre
  • species
  • species-habitat
  • united-states
  • wildlife
isopen False
license_id notspecified
license_title License not specified
maintainer (Point of Contact, Originator); North Atlantic Landscape Conservation Cooperative (Point of Contact)
maintainer_email william_schwenk@fws.gov
metadata_created 2025-11-22T10:34:18.197130
metadata_modified 2025-11-22T10:34:18.197134
notes 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.<br> <br> 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 season, based on environmental conditions existing in approximately 2010. Landscape capability integrates factors influencing climate suitability, habitat capability, and other biogeographic factors affecting the species’ prevalence in the area. All locations are scored on a scale from 0 to 1, with a value of 0 indicating no capacity to support the species and 1 indicating optimal conditions for the species (not all species values reach 1).<br> <br> This species dataset is one of a larger set of results developed by the Designing Sustainable Landscapes project led by Professor Kevin McGarigal of UMass Amherst. The species datasets developed under the project include the following:<br> <br> 1. Landscape capability datasets for a set of species intended to represent a broader set of wildlife species, and associated ecosystems, that collectively encompass a majority of the terrestrial, wetland, and coastal ecosystems of the Northeast. For each species, the datasets include projections of future landscape capability, taking into account several scenarios of possible future development, climate, and forest change, for the year 2080.<br> <br> 2.&nbsp;Datasets for each species that compare 2010 results to future scenarios for 2080. These include areas where the species could most likely be expected to persist, areas where it might be able colonize with future climate change, and areas where the species might experience a loss of suitable habitat.<br> <br> More information and detailed documentation for the Designing Sustainable Landscapes project, which includes many additional datasets besides the species datasets, is available at: <a href="http://www.umass.edu/landeco/research/dsl/dsl.html">http://www.umass.edu/landeco/research/dsl/dsl.html</a>.<br> <br> The 2010 Northeast Landscape Capability Dataset for this species represents the integration of three models:<br> <br> 1.&nbsp;A habitat capability model developed using a spatially explicit, GIS-based wildlife habitat modeling framework called “HABIT@” developed by the Landscape Ecology Lab of the University of Massachusetts Amherst.<br> <br> 2.&nbsp;A climate niche model based on an analysis of the climate conditions (circa 2010) that are most suitable for the species in eastern North America.<br> <br> 3.&nbsp;A prevalence model intended to capture biogeographic factors influencing the distribution of a species that are not reflected in the habitat capability or climate niche models.<br> <br> Both the climate niche and prevalence models are based on field surveys for the species (e.g., the Breeding Bird Survey). The habitat capability models developed using HABIT@ reflect the quantity, quality, and accessibility (collectively referred to as “capability”) of habitat across the landscape for each year assessed. The habitat models are based on ecological settings grids (spatial datasets) developed for the Northeast, such as cover type (largely derived from the Northeast Terrestrial Habitat Map prepared by The Nature Conservancy and Northeastern states), roads and development, and forest biomass (for forest species). The models are spatially-explicit: the value at each cell (location) depends not only on the resources available at that cell, but on resources available in the neighborhood, on the configuration of those resources, and nearby impediments to movement. However, HABIT@ does not model population dynamics or population viability.<br> <br> A two-page summary of this model is available for download with this dataset (or click <a href="http://jamba.provost.ads.umass.edu/web/lcc/DSL_documentation_vira_abstract.pdf">here</a>). Detailed documentation on the development of all of the species datasets, including this Northeast Landscape Capability Dataset, is available at: <a href="http://www.umass.edu/landeco/research/dsl/documents/dsl_documents.html">http://www.umass.edu/landeco/research/dsl/documents/dsl_documents.html</a>. The documentation includes a list of all the species for which models have been or are being developed and discusses limitations and constraints for using the datasets.
num_resources 7
num_tags 14
title Landscape Capability for Virginia Rail, Version 3.1, Northeast U.S.