A data set used to show watershed boundaries. A watershed includes all the land where water, from rain or runoff, drains to a specific river or water body. Ridges of high land separate watersheds from each other. Also, every waterway has its own watershed and every person lives within a watershed. For example, if rain that falls on your yard flows down the street and into a creek that eventually ends in the Hillsborough River, then you live in the Hillsborough Watershed. This data set was developed using US Geological Survey data for 8-digit hydrologic unit codes (HUCs) (this size shows watersheds for large rivers). Information for smaller watersheds (i.e. 11-digit HUCs which includes smaller streams) can be found at Reference 1. For information on pollution sources within your watershed, check out EPA's Surf Your Watershed at Reference 2.
Reference 1 , Reference 2: , Reference 3 , Funding Information  (search by # or keyword  for 10.906 or Watershed)

States

The states data set shows state boundaries and serves as a visual reference to identify natural resources that may cross state lines. To adequately protect your community's resources within the SEF may require a collaborative effort with neighboring counties may be required. This is important for developing strategies for resource protection efforts in approximately 150 watersheds that cross over state lines. For additional information on counties you can link to the census bureau at Reference.
Reference 1 ,  Funding Information (search by # or keyword  for 15.916 or Land)


Counties

The county data set shows the county boundaries. This provides a visual reference for identifying locations on the map and navigating around the other data sets. To adequately protect your community's resources within the SEF may require a collaborative effort with neighboring counties may be required. For additional information on counties you can link to the census bureau at Reference 1.
Reference 1 ,  Funding Information  (search by # or keyword  for 10.772 or Empowerment)


Roads

All roads according to the 1995 Tiger database. This information provides reference for locating specific target areas and also identifies the principal fragmentation stressor to the landscape. For additional information on roads you can visit Reference 1.
Reference 1 ,  Funding Information  (search by # or keyword  for 66.460 or Nonpoint source)


Railroads

The Railroad data set shows the location of major railroad lines. Similar to the highways and roads data sets, the railroad data set can be used to locate areas under stress from possible land development and habitat fragmentation. Abandoned railways have been used to develop greenway trails that connect urban areas to parts of the SEF. This provides the local community with a sense of connection to the natural resources surrounding their community. Additional information about this coverage can be obtained at Reference 1.
Reference 1  , Funding Information    (search by # or keyword  for 20.301 or Railroad)


Airports

A data set showing the location of municipal and other major airports in the mapped area. For the latest airport data available you can download the information from the Bureau of Transportation at their National Transportation Atlas Data Shapefile Download Center for Selected States at Reference 1.
Reference 1  ,  Funding Information   (search by # or keyword  for 20.106 or Airport)


SEF_Mask

This mask will allow the user to see what other layers exist within the Southeastern Ecological Framework for a given location. You can toggle this data layer on and off to see result. More information on the SEF can be obtained from Reference 1.
Reference 1   ,  Funding Information   (search by # or keyword  for 66.419 or Water pollution)

SEF_Detail

Identifies the hubs and connectivity of the SEF along with other areas outside the SEF designated as Priority Ecological Areas (PEA) and Significant Ecological Areas (SEA). Areas outside of the SEF that provide ecological services are displayed because of the value in connecting localized priorities within the context of the larger ecological picture. While the Hubs and Connectivity components are the backbone of the SEF, the PEA/SEA data provides the opportunity to integrate these areas into a community's overall design of greenspace protection. Visit Reference 1 for more information on the development of the Priority Ecological Areas, Significant Ecological Areas, and overall modeling process of the SEF.
Reference 1   ,   Funding Information    (search by # or keyword  for 66.419 or Water)

Road_Density

The Road Density data set shows the density of roads in miles per square mile of land. This was derived from the road data in the 1995 TIGER database. The data provides insight to areas that are more accessible to urban sprawl and development pressures. For additional information on roads you can visit Reference 1.
Reference 1 , Funding Information  (search by # or keyword  for 66.460 or NonPoint source)

 

Potential_For_Urban_Growth

This data set was created through analysis of several characteristics from population data and road data. Mapping analysis was done using the 1993 land cover data set looked at an area's distance to roads, distance to urban locations, and the urban density within a 1-mile and 5-mile radius from existing urbanized land. The resulting maps show the existing urban areas along with areas with the greatest projected potential for becoming urbanized or converted to residential or commercial development. Future refinements to this data set will be made using changes in population density between the 1990 and 2000 census data from Reference 1. For more information on urban impacts you can visit Reference 2.
Reference 1 ,  Reference 2  , Funding Information  (search by # or keyword  for 66.463 or Water Quality)

 

Urban_Land_Cover

Three classes of urbanized land are in the National Land Cover Data (NLCD). The Urban Land Cover data set was created by the US Geological Survey (USGS) using satellite photographs from the early 1990's. The Low-Density Urban class identifies areas considered low-density residential. The Low-Density Urban class identifies high-density residential and light commercial areas. The High/Industrial class identifies urban centers and industrialized areas. Additional land cover information can be found at Reference 1 for National Land Cover Data Availability, Reference 2 for NLCD Land Cover Class Definition and Reference 3 for National Land Cover Characterization.
Reference 1  ,  Reference 2 ,  Reference 3  ,  Funding Information 

 

Cities

The cities data set shows municipal boundaries for cities and towns. This data can be used to identify locations where land development is moving away from the city's center and may be threatening water and ecological resources or contributing to habitat fragmentation. The data may also be used to design urban greenways and trails that tie into the larger ecological hub and corridor system. This not only provides recreational opportunities for residents and visitors, it helps maintain the health and vitality of the local watershed and surrounding habitats. For additional information on cities you can link to the census bureau at Reference 1.
Reference 1 ,  Funding Information      (search by # or keyword  for city/town/ etc.)