Fishers, and the communities they support face a range of challenges brought on by complexity and uncertainty in their social-ecological systems (SESs). This undermines their ability to achieve sustainability whilst hampering proactive planning and decision-making. To capacitate fishers to apply risk aversion strategies at smaller scales of operation and for managers to apply inclusive management approaches such as the ecosystem approach to fisheries management (EAF), a better understanding of the relationships and interactions in marine SESs must be developed. At the same time, the EAF requires the inclusion of multiple stakeholders, disciplines and objectives into decision-making processes. Previous work in the southern Cape with fishers, identified drivers of change. Building on this previous research, and using causal mapping, fishers mapped out drivers of change in an iterative process in a problem framing exercise which also highlighted hidden drivers of change and feedback loops. To explore the relative importance of key drivers of change with participants, weighted hierarchies as well as a Bayesian Belief Network (BBN) were developed. By identifying and highlighting these hidden system interactions a more integrated systems view has been facilitated, adding to the understanding of this fishery system. Drivers identified in the weighted hierarchy were consistent with those identified in the causal maps and previous research, of interest is the relative weighting attributed to these drivers. Whereas the weighted hierarchies emphasised the political dimensions, group work already indicated the range of perceptions, reflecting the considerable uncertainties in this SES. While methodologically challenging at first, the individual approach behind the BBN construction yielded a better reflection of the diversity of views and a better balance of political, economic and climate dimensions of drivers of change. We show how, by using SDMTs, the most disenfranchised community members can engage meaningfully in a structured process. As structure is crucial to management processes, the research shows that where the appropriate groundwork, capacity building and resourcing takes place, disenfranchised stakeholders can be integrated into formal management processes; fulfilling a key requirement of an EAF.

中文翻译：

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对边缘化渔民使用结构化决策工具来促进南非基于系统的渔业管理方法

渔民及其支持的社区面临着社会生态系统 (SES) 的复杂性和不确定性带来的一系列挑战。这削弱了他们实现可持续性的能力，同时阻碍了主动规划和决策。为了使渔民能够在较小规模的作业中应用风险规避策略，并使管理人员能够应用包容性管理方法，例如渔业管理生态系统方法 (EAF)，必须更好地了解海洋 SES 中的关系和相互作用。同时，EAF 要求将多个利益相关者、学科和目标纳入决策过程。以前在南开普省与渔民的工作确定了变化的驱动因素。在之前的研究的基础上，并使用因果映射，渔民在问题框架练习的迭代过程中绘制了变化的驱动因素，该练习还突出了变化和反馈循环的隐藏驱动因素。为了与参与者一起探索变革的关键驱动因素的相对重要性，开发了加权层次结构以及贝叶斯信念网络 (BBN)。通过识别和突出这些隐藏的系统相互作用，促进了更加综合的系统视图，增加了对该渔业系统的理解。加权层次结构中确定的驱动因素与因果图和先前研究中确定的驱动因素一致，感兴趣的是归因于这些驱动因素的相对权重。虽然加权等级强调政治维度，但小组工作已经表明了看法的范围，反映了这个 SES 中相当大的不确定性。虽然起初在方法上具有挑战性，但 BBN 建设背后的个人方法更好地反映了观点的多样性，并更好地平衡了变化驱动因素的政治、经济和气候维度。我们展示了如何通过使用 SDMT，最被剥夺权利的社区成员可以有意义地参与结构化流程。由于结构对管理流程至关重要，研究表明，在进行适当的基础工作、能力建设和资源配置的地方，被剥夺权利的利益相关者可以融入正式的管理流程；满足 EAF 的关键要求。变化驱动因素的经济和气候方面。我们展示了如何通过使用 SDMT，最被剥夺权利的社区成员可以有意义地参与结构化流程。由于结构对管理流程至关重要，研究表明，在进行适当的基础工作、能力建设和资源配置的地方，被剥夺权利的利益相关者可以融入正式的管理流程；满足 EAF 的关键要求。变化驱动因素的经济和气候方面。我们展示了如何通过使用 SDMT，最被剥夺权利的社区成员可以有意义地参与结构化流程。由于结构对管理流程至关重要，研究表明，在进行适当的基础工作、能力建设和资源配置的地方，被剥夺权利的利益相关者可以融入正式的管理流程；满足 EAF 的关键要求。