在整个供应链中提高非法渔业活动的可检测性
Rodrigo Oyanedel1,2,3, Stefan Gelcich2,4, E J Milner-Gulland3
1MAR FUTURA, Navidad, Chile.
概括
检测非法捕鱼是非常重要的. 这项研究发现,像加工商这样的更高供应链参与者,尽管执法力度较低,但检测率更高,这有助于制定有针对性的战略.
科学领域:
- 渔业管理 渔业管理 渔业管理
- 犯罪学 犯罪学
- 供应链分析 供应链分析
背景情况:
- 提高非法捕捞的检测能力对于渔业管理,粮食安全和生计至关重要.
- 了解影响非法活动的因素及其在供应链中的检测对于有效干预至关重要.
研究的目的:
- 评估供应链参与者,物种,法规和努力预测指标中可检测性和违规概率的决定因素.
- 确定与非法渔业活动和其检测更高概率相关的因素.
主要方法:
- 使用贝叶斯的等级模型.
- 分析了来自智利的大型执法数据集.
主要成果:
- 总体检测率为7%,供应链参与者的差异很大.
- 供应链中较高的参与者 (加工商,餐厅) 显示出更高的检测率,尽管获得的执法力度较小.
- 确定了影响可检测性和违规概率的关键预测因素.
结论:
- 调查结果为提高可检测性和改进执法目标提供了见解,特别是在预算限制下.
- 该方法补充了技术进步,并支持减少非法捕捞和促进合规的战略.
- 促进智利和全球渔业的更好管理和可持续性.
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