Literature DB >> 20884113

More is not always better: coping with ambiguity in natural resources management.

M Brugnach1, A Dewulf, H J Henriksen, P van der Keur.   

Abstract

Coping with ambiguities in natural resources management has become unavoidable. Ambiguity is a distinct type of uncertainty that results from the simultaneous presence of multiple valid, and sometimes conflicting, ways of framing a problem. As such, it reflects discrepancies in meanings and interpretations. Under the presence of ambiguity it is not clear what problem is to be solved, who should be involved in the decision processes or what is an appropriate course of action. Despite the extensive literature about methodologies and tools to deal with uncertainty, not much has been said about how to handle ambiguities. In this paper, we discuss the notions of framing and ambiguity, and we identify five broad strategies to handle it: rational problem solving, persuasion, dialogical learning, negotiation and opposition. We compare these approaches in terms of their assumptions, mechanisms and outcomes and illustrate each approach with a number of concrete methods.
Copyright © 2010 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2010        PMID: 20884113     DOI: 10.1016/j.jenvman.2010.08.029

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


  4 in total

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Authors:  Jens Nilsson; Carina Lundmark
Journal:  Heliyon       Date:  2020-05-27

Review 2.  Opportunities for better use of collective action theory in research and governance for invasive species management.

Authors:  Sonia Graham; Alexander L Metcalf; Nicholas Gill; Rebecca Niemiec; Carlo Moreno; Thomas Bach; Victoria Ikutegbe; Lars Hallstrom; Zhao Ma; Alice Lubeck
Journal:  Conserv Biol       Date:  2019-01-04       Impact factor: 6.560

3.  Uncertainty in and around biophysical modelling: insights from interdisciplinary research on agricultural digitalization.

Authors:  M Espig; S C Finlay-Smits; E D Meenken; D M Wheeler; M Sharifi
Journal:  R Soc Open Sci       Date:  2020-12-23       Impact factor: 2.963

4.  A Bayesian Modelling Framework for Integration of Ecosystem Services into Freshwater Resources Management.

Authors:  Michael Bruen; Thibault Hallouin; Michael Christie; Ronan Matson; Ewa Siwicka; Fiona Kelly; Craig Bullock; Hugh B Feeley; Edel Hannigan; Mary Kelly-Quinn
Journal:  Environ Manage       Date:  2022-02-16       Impact factor: 3.644

  4 in total

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