Recreation related degradation in Kansas state parks: applying GIS models

Date

2005-05-09T21:43:07Z

Journal Title

Journal ISSN

Volume Title

Publisher

Kansas State University

Abstract

This paper presents a model which identifies areas in state parks most susceptible to recreation related degradation. Factors of soil capability class rankings, slope, native vegetation presence, rangeland productivity, visitation, and revenue are overlaid in a weighted raster model to extract those land parcels within Glen Elder State Park, Kansas, which have the highest susceptibility to environmental degradation and greatest potential to generate high revenue. Park user characteristics stored in an attribute table are related to vulnerable parcels so park managers can develop management or mitigation strategies reflecting the strength of environmental, social, or economic interactions in an area.

Description

Keywords

GIS, Modeling, Parks and recreation, Landscape suitability assessment

Graduation Month

May

Degree

Master of Landscape Architecture

Department

Department of Landscape Architecture, Regional and Community Planning

Major Professor

Stephanie A. Rolley

Date

2005

Type

Thesis

Citation