Data release for the Geographic context affects the landscape change and fragmentation caused by wind energy facilities.

Wind energy generation causes transformation of landscapes as new roads, pads, and transmission lines are constructed. We mapped, quantified, and analyzed the effects of facilities geographic context on road networks and changes in landscape patterns by digitizing the footprints of 39 wind facilities and the surrounding land cover using high-resolution imagery. We then measured landscape pattern before and after facility construction, using 3 metrics associated with species responses to habitat loss and fragmentation (amount, core area, and connectivity of undeveloped land) at the scale of 1km around newly constructed turbines and roads. This data here was used in understanding how new facilities change the amount of undeveloped land and changes in metrics of landscape patterns as key measures that could be used by developers and planners to make informed siting and layout decisions. Results showed that for these sites, new facilities decreased the amount of undeveloped land, on average, by just 1.8% while changes in metrics of landscape pattern were relatively much larger (50 to 125%). Linear models in the research paper results indicated levels of pre-construction development were a key factor explaining the impact of new wind facilities on landscape metrics, with pre-construction road networks, turbine spacing, and topography having smaller influences. Furthermore, as the proportion of developed land around facilities increased, a higher proportion of the facility utilized pre-construction developed land and a lower density of new roads were built, resulting in smaller impacts to undeveloped landscapes.

Data and Resources

Field Value
accessLevel public
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identifier USGS:5a1343cfe4b09fc93dce6580
metadata_type geospatial
modified 20200820
old-spatial -163.605532926, 14.150962351, -67.776254535, 46.571708591
publisher U.S. Geological Survey
publisher_hierarchy Department of the Interior > U.S. Geological Survey
resource-type Dataset
source_datajson_identifier true
source_hash 9a6c5487525ab0f5409b2b0452ff7645cca94e30
source_schema_version 1.1
spatial {"type": "Polygon", "coordinates": [[[-163.605532926, 14.150962351], [-163.605532926, 46.571708591], [ -67.776254535, 46.571708591], [ -67.776254535, 14.150962351], [-163.605532926, 14.150962351]]]}
theme {geospatial}
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • amerigeo
  • amerigeoss
  • ckan
  • connectivity
  • core-area
  • development
  • energy
  • fragmentation
  • geo
  • geoss
  • gis
  • land-use
  • landscape-pattern
  • national
  • north-america
  • roads
  • united-states
  • usgs
  • usgs-5a1343cfe4b09fc93dce6580
  • wind-facility
isopen False
license_id notspecified
license_title License not specified
maintainer Jay E. Diffendorfer
maintainer_email jediffendorfer@usgs.gov
metadata_created 2025-11-19T14:24:12.984436
metadata_modified 2025-11-19T14:24:12.984445
notes Wind energy generation causes transformation of landscapes as new roads, pads, and transmission lines are constructed. We mapped, quantified, and analyzed the effects of facilities geographic context on road networks and changes in landscape patterns by digitizing the footprints of 39 wind facilities and the surrounding land cover using high-resolution imagery. We then measured landscape pattern before and after facility construction, using 3 metrics associated with species responses to habitat loss and fragmentation (amount, core area, and connectivity of undeveloped land) at the scale of 1km around newly constructed turbines and roads. This data here was used in understanding how new facilities change the amount of undeveloped land and changes in metrics of landscape patterns as key measures that could be used by developers and planners to make informed siting and layout decisions. Results showed that for these sites, new facilities decreased the amount of undeveloped land, on average, by just 1.8% while changes in metrics of landscape pattern were relatively much larger (50 to 125%). Linear models in the research paper results indicated levels of pre-construction development were a key factor explaining the impact of new wind facilities on landscape metrics, with pre-construction road networks, turbine spacing, and topography having smaller influences. Furthermore, as the proportion of developed land around facilities increased, a higher proportion of the facility utilized pre-construction developed land and a lower density of new roads were built, resulting in smaller impacts to undeveloped landscapes.
num_resources 2
num_tags 20
title Data release for the Geographic context affects the landscape change and fragmentation caused by wind energy facilities.