Literature DB >> 22266478

Integrating diverse scientific and practitioner knowledge in ecological risk analysis: a case study of biodiversity risk assessment in South Africa.

G V Dana1, A R Kapuscinski, J S Donaldson.   

Abstract

Ecological risk analysis (ERA) is a structured evaluation of threats to species, natural communities, and ecosystem processes from pollutants and toxicants and more complicated living stressors such as invasive species, genetically modified organisms, and biological control agents. Such analyses are typically conducted by a narrowly-focused group of scientific experts using technical information. We evaluate whether the inclusion of more diverse experts and practitioners in ERA improved the ecological knowledge base about South African biodiversity and the potential impacts of genetically modified (GM) crops. We conducted two participatory ERA workshops in South Africa, analyzing potential impacts of GM maize on biodiversity. The first workshop involved only four biological scientists, who were joined by 18 diverse scientists and practitioners in the second, and we compared the ERA process and results between the two using descriptive statistics and semi-structured interview responses. The addition of diverse experts and practitioners led to a more comprehensive understanding of biological composition of the agro-ecosystem and a more ecologically relevant set of hazards, but impeded hazard prioritization and the generation of precise risk assessment values. Results suggest that diverse participation can improve the scoping or problem formulation of the ERA, by generating an ecologically robust set of information on which to base the subsequent, more technical risk assessment. The participatory ERA process also increased the transparency of the ERA by exposing the logic and rationale for decisions made at each step.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22266478     DOI: 10.1016/j.jenvman.2011.12.021

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


  2 in total

1.  Comprehensive environmental assessment: a meta-assessment approach.

Authors:  Christina M Powers; Genya Dana; Patricia Gillespie; Maureen R Gwinn; Christine Ogilvie Hendren; Thomas C Long; Amy Wang; J Michael Davis
Journal:  Environ Sci Technol       Date:  2012-08-13       Impact factor: 9.028

Review 2.  Towards inclusive social appraisal: risk, participation and democracy in governance of synthetic biology.

Authors:  Andrew Stirling; K R Hayes; Jason Delborne
Journal:  BMC Proc       Date:  2018-07-19
  2 in total

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