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Comparative analysis of factors influencing spatial distributions of marine protected areas and territorial use rights for fisheries in Japan

机译:日本海洋保护区空间分布和渔业使用权影响因素的比较分析

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摘要

As increasingly large extents of the global oceans are being managed through spatial measures, it is important to identify area characteristics underlying network distributions. Studies discerning spatial patterns in marine management have disproportionately focused on global networks. This paper instead considers the single country context of Japan to illuminate within-country drivers of area-based conservation and fishery management. A dataset containing potentially relevant socioeconomic, environmental, and fisheries factors was assembled and used to model prefecture-level counts of marine protected areas (MPAs) and territorial use rights for fisheries (TURFs) throughout Japan's waters. Several factors were found to significantly influence the number of TURFs in a particular area, whereas MPA patterns of use remain largely unexplained. TURFs are frequently noted as more suitable for managing fisheries of low mobility species and our analysis finds greater use of TURFs in areas that rely heavily on benthic catch. The number of trading ports was also found to be positively related to TURF distributions, suggesting economic infrastructure may influence the use of this fisheries management tool. In-line with global analyses, MPA patterns of use were not found to be significantly related to any of the potential explanatory variables after correcting for the number of statistical comparisons that were carried out. Differences in our ability to model the use of TURFs and MPAs may arise due to the narrower objectives associated with the former (e.g., income, employment) in comparison to the often broad and varied goals that motivate use of the latter.
机译:随着越来越多的全球海洋通过空间措施进行管理,重要的是确定网络分布背后的区域特征。识别海洋管理中的空间格局的研究不成比例地集中在全球网络上。相反,本文考虑了日本的单个国家背景,以阐明基于地区的保护和渔业管理的国家内驱动因素。收集了包含潜在相关的社会经济,环境和渔业因素的数据集,并将其用于对整个日本水域的海洋保护区(MPA)的县级计数和渔业领土使用权(TURF)进行建模。发现有几个因素会显着影响特定区域中TURF的数量,而MPA的使用方式在很大程度上尚无法解释。 TURF通常被认为更适合管理低迁移率物种的渔业,而我们的分析发现,TURF在严重依赖底栖渔获的地区得到了更多的利用。还发现贸易港口的数量与TURF的分布呈正相关,这表明经济基础设施可能会影响该渔业管理工具的使用。与全局分析一致,在校正所进行的统计比较次数之后,未发现MPA的使用方式与任何潜在的解释变量显着相关。由于与前者相关的目标较狭窄(例如,收入,就业),而激励后者使用的目标通常较宽泛,因此,我们对TURF和MPA的使用进行建模的能力可能会有所不同。

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