英文标题：
《Disentangling the socio-ecological drivers behind illegal fishing in a
  small-scale fishery managed by a TURF system》
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作者：
Silvia de Juan, Maria Dulce Subida, Andres Ospina-Alvarez, Ainara
  Aguilar, Miriam Fernandez
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最新提交年份：
2020
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英文摘要：
  A substantial increase in illegal extraction of the benthic resources in central Chile is likely driven by an interplay of numerous socio-economic local factors that threatens the success of the fisheries management areas (MA) system. To assess this problem, the exploitation state of a commercially important benthic resource (i.e., keyhole limpet) in the MAs was related with socio-economic drivers of the small-scale fisheries. The potential drivers of illegal extraction included rebound effect of fishing effort displacement by MAs, level of enforcement, distance to surveillance authorities, wave exposure and land-based access to the MA, and alternative economic activities in the fishing village. The exploitation state of limpets was assessed by the proportion of the catch that is below the minimum legal size, with high proportions indicating a poor state, and by the relative median size of limpets fished within the MAs in comparison with neighbouring OA areas, with larger relative sizes in the MA indicating a good state. A Bayesian-Belief Network approach was adopted to assess the effects of potential drivers of illegal fishing on the status of the benthic resource in the MAs. Results evidenced the absence of a direct link between the level of enforcement and the status of the resource, with other socio-economic (e.g., alternative economic activities in the village) and context variables (e.g., fishing effort or distance to surveillance authorities) playing important roles. Scenario analysis explored variables that are susceptible to be managed, evidencing that BBN is a powerful approach to explore the role of multiple external drivers, and their impact on marine resources, in complex small-scale fisheries.
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中文摘要：
智利中部非法开采底栖资源的大幅增加，很可能是由于许多社会经济当地因素的相互作用，这些因素威胁着渔业管理区（MA）系统的成功。为了评估这一问题，MAs中一种商业上重要的底栖资源（即钥匙孔帽贝）的开发状态与小规模渔业的社会经济驱动因素有关。非法开采的潜在驱动因素包括MAs的捕鱼努力位移的反弹效应、执法水平、与监督机构的距离、波浪暴露和进入MA的陆基通道，以及渔村的替代经济活动。根据低于最低法定捕捞量的渔获物比例评估帽贝的开发状态，高比例表示状态不佳，根据在MAs内捕捞的帽贝与邻近OA区域相比的相对中值大小评估帽贝的开发状态，在MAs中较大的相对大小表示状态良好。采用贝叶斯信念网络方法来评估非法捕捞的潜在驱动因素对MAs中底栖资源状况的影响。结果表明，执法水平与资源状况之间没有直接联系，其他社会经济因素（例如，村里的替代经济活动）和环境变量（例如，捕鱼努力或与监督机构的距离）发挥着重要作用。情景分析探索了易管理的变量，证明BBN是探索复杂小规模渔业中多种外部驱动因素的作用及其对海洋资源的影响的有力方法。
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分类信息：

一级分类：Economics        经济学
二级分类：General Economics        一般经济学
分类描述：General methodological, applied, and empirical contributions to economics.
对经济学的一般方法、应用和经验贡献。
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一级分类：Quantitative Finance        数量金融学
二级分类：Economics        经济学
分类描述：q-fin.EC is an alias for econ.GN. Economics, including micro and macro economics, international economics, theory of the firm, labor economics, and other economic topics outside finance
q-fin.ec是econ.gn的别名。经济学，包括微观和宏观经济学、国际经济学、企业理论、劳动经济学和其他金融以外的经济专题
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