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Integrating Multi-Disciplinary Data Sources Relating to Inshore Fisheries Management Via a Bayesian Network

Ocean and Coastal Management(2021)SCI 3区

NIWA Auckland

Cited 5|Views27
Abstract
The move towards broader management of marine ecosystems has received significant momentum in recent years. Fundamental to Ecosystem-Based Management (EBM) and Ecosystem-Based Fisheries management (EBFM) is the need to engage relevant stakeholder groups. Here we present a Bayesian network (BN) tool developed to describe the snapper population in the Hauraki Gulf, New Zealand, and investigate possible outcomes of alternative management scenarios on snapper abundance. The Hauraki Gulf is a location where the marine environment is both highly valued and in high demand for the goods and services it provides. Snapper are a key component of this social–ecological system. We developed a BN focussed on key snapper life stages, and the consequences of stressors, including fishing, uses of marine space, land use practises (which influence sediment and nutrient yield), biogenic and environmental habitat variables, and upper level drivers such as climate change, human population growth and the global economy. Parameters were populated through a range of information types, from empirical and model analysis to literature review and expert opinion. Parameters for the core of the BN model (i.e. the snapper life stages and fishing methods) were adjusted so that the predicted effects of fishing reflected those seen in model projections from an age structured population model that had recently been used to inform the management of the snapper population in the Hauraki Gulf. The two most influential factors within this BN were fishing and land–use practises. Although there was a strong impact on snapper populations from land–use practises and resulting sedimentation that detrimentally affects biogenic habitats that juvenile snapper depend on, the potential impact of fishery extraction was much stronger. While fishery extraction of snapper is generally well managed, under the existing management set up it is also the only major stressor that would likely be regulated in response to decreases in the snapper population (regardless of the source of any impact). Engaging stakeholders to address issues such as this remains the greatest challenge facing EBFM/EBM in the Hauraki Gulf, but may be possible with tools such as the BN presented here.
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Chrysophrys auratus,Stakeholder engagement,Ecosystem-based fishery management,Ecosystem-based management,BN
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要点】:本文提出了一种基于贝叶斯网络(BN)的工具,用以描述新西兰豪拉基湾的鲷鱼种群,并探讨了不同管理方案对鲷鱼丰富度可能产生的影响,强调了渔业提取和土地利用实践在鲷鱼种群管理中的关键作用。

方法】:研究构建了一个关注鲷鱼关键生命阶段及其面临的压力因素(如捕鱼、海洋空间使用、土地利用实践、生物生成和环境栖息地变量以及上层驱动因素如气候变化、人口增长和全球经济)的贝叶斯网络模型。

实验】:通过实证分析、模型分析、文献综述和专家意见等多种信息源为模型参数赋值,并对模型进行了调整,使其预测的捕鱼效果与最近用于指导豪拉基湾鲷鱼种群管理的年龄结构种群模型投影相匹配。研究未具体提及使用的数据集名称,但指出渔业提取和土地利用实践是影响贝叶斯网络中最关键的因素。