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

Comparative analysis of factors influencing spatial distributions of marine protected areas and territorial use rights for fisheries in Japan
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日本海洋保护区与渔业领土使用权空间分布影响因素比较分析

DOI:
10.1016/j.marpol.2017.05.005
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发表时间:
2017
期刊:
影响因子:
3.8
通讯作者:
Scheld, Andrew M.
Scheld, Andrew M.
中科院分区:
法学2区
文献类型:
--
作者:
Nomura, Keiko J.;Kaplan, David M.;Beckensteiner, Jennifer;Scheld, Andrew M.

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随着越来越多的全球海洋正在通过空间措施进行管理,重要的是要确定网络分布的区域特征。在海洋管理方面,识别空间格局的研究不成比例地侧重于全球网络。相反,本文认为,日本的单一国家的情况下,照亮国内驱动程序的区域为基础的保护和渔业管理。收集了包含潜在相关社会经济、环境和渔业因素的数据集,并用于对日本整个沃茨水域的海洋保护区(MPA)和渔业领土使用权(TURF)的县级计数进行建模。有几个因素被发现显着影响在特定区域的TURFs的数量,而MPA的使用模式仍然在很大程度上无法解释。人们经常注意到,草坪更适合管理低流动性物种的渔业,我们的分析发现,在严重依赖底栖渔获物的地区,草坪的使用率更高。贸易港口的数量也被认为是正相关的TURF分布,这表明经济基础设施可能会影响使用这种渔业管理工具。与全球分析一致,在对进行的统计比较数量进行校正后,未发现MPA使用模式与任何潜在的解释变量显著相关。由于与前者相关的目标较窄(例如,收入、就业),而后者往往是广泛而多样的目标。
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.
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