What is it about?

Visual resource inventories (VRIs) are systems for documenting and assessing the scenic values of landscapes/seascapes, and are often used as the basis for scenic resource management. This paper describes the new VRI system of the U.S. National Park Service, and compares it with the VRI systems used by the Bureau of Land Management and the U.S. Forest Service.

Featured Image

Why is it important?

The Park Service VRI was designed to meet the specific needs of the Park Service to assess both the scenic quality and the historic and cultural values of important viewpoints and viewed landscapes. It includes a number of innovative approaches to document and assess the non-scenic value and importance of views to Park Service visitors and the Park Service mission.

Perspectives

VRI systems are designed to meet specific needs dictated by the needs and mission of the entity that develops them, but also by the particular characteristics of the scenic experience of the landscapes and seascapes in which they are used. Because Park Service areas emphasize both scenic and historic/cultural values, and because Park visitors enjoy scenic experiences largely from known viewpoints and looking at known landscapes, a view-based inventory with enhanced tools for incorporating non-scenic values is appropriate. The BLM and USFS are land management agencies that permit various land uses in particular areas of the lands they manage. These lands are primarily natural-appearing, and the scenic experience is predominantly one of enjoyment of natural-appearing landscapes. In these cases, a land management polygon-based VRI that emphasizes scenic quality may be appropriate.

Mr Robert Gerald Sullivan
Argonne National Laboratory

Read the Original

This page is a summary of: Environmental Reviews and Case Studies: The National Park Service Visual Resource Inventory: Capturing the Historic and Cultural Values of Scenic Views, Environmental Practice, September 2016, Taylor & Francis,
DOI: 10.1017/s1466046616000260.
You can read the full text:

Read

Contributors

The following have contributed to this page