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

机译:在生态风险分析中整合各种科学和实践知识:南非的生物多样性风险评估案例研究

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摘要

Ecological risk analysis (ERA) is a structured evaluation of threats to species, natural corrimunities, 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.
机译:生态风险分析(ERA)是对污染物,有毒物质以及更复杂的生存压力源(例如入侵物种,转基因生物和生物控制剂)对物种,自然犯罪和生态系统过程的威胁的结构化评估。此类分析通常由一小撮专注于科学专家使用技术信息进行。我们评估了在ERA中吸收更多不同的专家和实践者是否改善了有关南非生物多样性以及转基因(GM)作物的潜在影响的生态知识基础。我们在南非举办了两次参与式ERA研讨会,分析了转基因玉米对生物多样性的潜在影响。第一个研讨会仅涉及四位生物学家,第二次研讨会由18位不同的科学家和从业人员参加,我们使用描述性统计数据和半结构化访谈回复比较了ERA的过程和结果。多样化的专家和从业人员的加入使人们对农业生态系统的生物组成和危害更加生态相关,有了更全面的了解,但阻碍了危害的优先级划分和精确风险评估值的产生。结果表明,通过生成生态上可靠的信息集,随后进行更多的技术风险评估可基于此,多样化的参与可以改善ERA的范围或问题表述。参与式ERA流程还通过暴露在每个步骤中做出决定的逻辑和理由,也提高了ERA的透明度。

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