Literature DB >> 18922619

The impacts of knowledge of the past on preferences for future landscape change.

Nick Hanley1, Richard Ready, Sergio Colombo, Fiona Watson, Mairi Stewart, E Ariel Bergmann.   

Abstract

In this paper, we investigate whether people's knowledge of the past influences their preferences and values towards future landscape change. "Knowledge of the past" is one aspect of the information set held by individuals, and a well-established finding in economics is that changes in information can change preferences and values. The particular aspects of knowledge of the past we work with here are: (i) awareness of past landuse, as represented by woodland cover and (ii) awareness of differing and sometimes contradictory literary impressions of this past landscape. The case studies used here relate to prospective changes in woodland cover in two UK national parks, the Lake District and the Trossachs. We find that people who are made aware that the landscape has changed over time, or that perceptions of the landscape have changed over time, are more likely to favour changes to the current landscape (are less likely to favour the status quo). Knowledge of the past therefore seems to have an impact on preferences for future landscapes. We also investigate the impacts on preferences of how "special", how "wild" and how "worked in" people perceive the landscapes of these two national parks to be.

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Year:  2008        PMID: 18922619     DOI: 10.1016/j.jenvman.2008.08.008

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  3 in total

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Journal:  Environ Manage       Date:  2011-10-02       Impact factor: 3.266

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Authors:  Thomas Hedemark Lundhede; Jette Bredahl Jacobsen; Nick Hanley; Jon Fjeldså; Carsten Rahbek; Niels Strange; Bo Jellesmark Thorsen
Journal:  PLoS One       Date:  2014-07-01       Impact factor: 3.240

3.  Climax thinking on the coast: a focus group priming experiment with coastal property owners about climate adaptation.

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Journal:  Environ Manage       Date:  2022-06-30       Impact factor: 3.644

  3 in total

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