Data release for Using social-context matching to improve value-transfer performance for cultural ecosystem service models

Recreational and aesthetic enjoyment of public lands is increasing across a wide range of activities, highlighting the need to assess and adapt management to accommodate these uses. Despite a growing number of studies on mapping cultural ecosystem services, most are local- scale assessments that rely on costly and time-consuming primary data collection. As a result, the availability of spatial information on non-market values associated with cultural ecosystem services (social values) remains limited. Spatial function transfer, if it could be justified for social-value models, would expedite the development of social-value information and promote its more regular inclusion in ecosystem service assessments. We used survey data from six national forests in Colorado and Wyoming to explore the potential for transferring cultural ecosystem service models between forests and specifically to test the hypothesis that transfer performance increases with social-context similarity between transferring and receiving areas. Results confirm this relationship but fall just short of being able to predict with certainty when transferred models will meet the minimum performance criterion needed for defensible use by managers. Social values are highly variable and can be difficult to predict, but our results suggest that with the right combination of indicators that spatial function transfer can become a defensible means of generating social-value information when primary data collection is not feasible.

Data and Resources

Field Value
accessLevel public
bureauCode {010:12}
catalog_@context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
catalog_describedBy https://project-open-data.cio.gov/v1.1/schema/catalog.json
identifier USGS:59b7f063e4b08b1644df5d77
metadata_type geospatial
modified 20200820
old-spatial -111.727975658, 36.5711424159, -104.285759693, 45.4795817792
publisher U.S. Geological Survey
publisher_hierarchy Department of the Interior > U.S. Geological Survey
resource-type Dataset
source_datajson_identifier true
source_hash 23231154e6af4b46955581f1fb9cf5eb1a0e5540
source_schema_version 1.1
spatial {"type": "Polygon", "coordinates": [[[-111.727975658, 36.5711424159], [-111.727975658, 45.4795817792], [ -104.285759693, 45.4795817792], [ -104.285759693, 36.5711424159], [-111.727975658, 36.5711424159]]]}
theme {geospatial}
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • amerigeo
  • amerigeoss
  • ckan
  • colorado
  • ecosystem-services
  • geo
  • geoss
  • model-transfer
  • national
  • north-america
  • social-context-matching
  • socioeconomic
  • solves
  • united-states
  • usgs-59b7f063e4b08b1644df5d77
  • wyoming
isopen False
license_id notspecified
license_title License not specified
maintainer Darius Semmens
maintainer_email dsemmens@usgs.gov
metadata_created 2025-11-22T18:07:21.475031
metadata_modified 2025-11-22T18:07:21.475035
notes Recreational and aesthetic enjoyment of public lands is increasing across a wide range of activities, highlighting the need to assess and adapt management to accommodate these uses. Despite a growing number of studies on mapping cultural ecosystem services, most are local- scale assessments that rely on costly and time-consuming primary data collection. As a result, the availability of spatial information on non-market values associated with cultural ecosystem services (social values) remains limited. Spatial function transfer, if it could be justified for social-value models, would expedite the development of social-value information and promote its more regular inclusion in ecosystem service assessments. We used survey data from six national forests in Colorado and Wyoming to explore the potential for transferring cultural ecosystem service models between forests and specifically to test the hypothesis that transfer performance increases with social-context similarity between transferring and receiving areas. Results confirm this relationship but fall just short of being able to predict with certainty when transferred models will meet the minimum performance criterion needed for defensible use by managers. Social values are highly variable and can be difficult to predict, but our results suggest that with the right combination of indicators that spatial function transfer can become a defensible means of generating social-value information when primary data collection is not feasible.
num_resources 2
num_tags 16
title Data release for Using social-context matching to improve value-transfer performance for cultural ecosystem service models