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    Author(s): James A. Harding; William T. Borrie; David N. Cole
    Date: 2000
    Source: In: Cole, David N.; McCool, Stephen F.; Borrie, William T.; O’Loughlin, Jennifer, comps. 2000. Wilderness science in a time of change conference—Volume 4: Wilderness visitors, experiences, and visitor management; 1999 May 23–27; Missoula, MT. Proceedings RMRS-P-15-VOL-4. Ogden, UT: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. p. 198-202
    Publication Series: Proceedings (P)
    Station: Rocky Mountain Research Station
    PDF: View PDF  (125 KB)

    Description

    Despite widespread efforts to minimize resource impacts, a number of remote areas continue to suffer from poor backcountry practices. Research to evaluate the effectiveness of low-impact communication strategies as they relate to recall of messages (Cole and others 1997) measured whether or not recreationists were aware of appropriate behavior given certain scenarios; it did not measure actual compliance. Partially in response to the results of that study, it has been hypothesized that a lack of information is not necessarily the only limiting factor in complying with specific low-impact recommendations. We propose a four-stage model of factors that might help to explain some noncompliance with backcountry low-impact recommendations where information is not the limiting factor.

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    Citation

    Harding, James A.; Borrie, William T.; Cole, David N. 2000. Factors that limit compliance with low-impact recommendations. In: Cole, David N.; McCool, Stephen F.; Borrie, William T.; O’Loughlin, Jennifer, comps. 2000. Wilderness science in a time of change conference—Volume 4: Wilderness visitors, experiences, and visitor management; 1999 May 23–27; Missoula, MT. Proceedings RMRS-P-15-VOL-4. Ogden, UT: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. p. 198-202

    Keywords

    wilderness, outdoor recreation, behavior, resource impacts, information, communication strategies, Theory of Reasoned Action (TRA), Signal Detection Theory

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