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加拉帕戈斯小型渔业多中心治理的演变。

The Evolution of Polycentric Governance in the Galapagos Small-Scale Fishing Sector.

机构信息

Faculty of Environment, University of Waterloo, Waterloo, ON, Canada.

Grupo de Investigación en Biodiversidad, Medio Ambiente y Salud, Universidad de Las Américas, Quito, Ecuador.

出版信息

Environ Manage. 2022 Aug;70(2):254-272. doi: 10.1007/s00267-022-01666-z. Epub 2022 May 18.

DOI:10.1007/s00267-022-01666-z
PMID:35585355
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9116705/
Abstract

Addressing the multiple anthropogenic and non-anthropogenic factors affecting small-scale fisheries requires collaboration from diverse regions, geographical scales, and administrative levels in order to prevent a potential misfit between governance systems and the socio-ecological problems they address. While connecting actors and stakeholders is challenging, as they often hold opposing perceptions and goals, unveiling the network configurations of governance systems remains one effective way to explore collaborative alliances in light of the diverse drivers of change present in small-scale fishery systems. This study employed descriptive statistics, exponential random graph models (ERGMs), and qualitative data analysis to explore preferential attachments of new nodes to well-positioned nodes within the Galapagos small-scale fishery governance system network and the propensity of cross-sectoral reciprocity and cross-sectoral open triads formation in the network. Our findings identified significant players and network configurations that might be essential in the collaboration diffusion and robustness of the Galapagos small-scale fishery sector governance system.

摘要

解决影响小规模渔业的多种人为和非人为因素需要来自不同地区、地理规模和行政级别的合作,以防止治理系统与它们所解决的社会-生态问题之间出现潜在的不匹配。虽然连接行为者和利益相关者具有挑战性,因为他们往往持有相反的看法和目标,但揭示治理系统的网络配置仍然是一种有效的方法,可以根据小规模渔业系统中存在的多种变化驱动因素,探索协作联盟。本研究采用描述性统计、指数随机图模型 (ERGM) 和定性数据分析,探讨了新节点优先连接到加拉帕戈斯小规模渔业治理系统网络中位置良好的节点,以及网络中跨部门互惠和跨部门开放三元组形成的倾向。我们的研究结果确定了一些重要的参与者和网络配置,这些参与者和网络配置在加拉帕戈斯小规模渔业部门治理系统的协作扩散和稳健性方面可能是必不可少的。

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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e43/9116705/245b09798e2e/267_2022_1666_Fig9_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e43/9116705/fb3f14430638/267_2022_1666_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e43/9116705/6aa8591ff018/267_2022_1666_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e43/9116705/8da878de1e14/267_2022_1666_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e43/9116705/6f6faf5a3105/267_2022_1666_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e43/9116705/245b09798e2e/267_2022_1666_Fig9_HTML.jpg

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