利用公共参与式地理信息系统和结构方程模型评估印度尼西亚雅加达沿海地区渔业管理的小规模沿海渔业动态

IF 4.8 2区 环境科学与生态学 Q1 OCEANOGRAPHY
Faizal Rachman , Jinliang Huang , Suadi
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引用次数: 0

摘要

沿海的快速发展往往对沿海渔业构成挑战,导致机会有限,尤其是小规模渔业。然而,关于沿海城市化如何在一段时间内推动小规模渔业动态的知识相对有限。基于线下调查和访谈问卷,采用公众参与式地理信息系统(PPGIS)与偏最小二乘结构方程模型(PLS-SEM)相结合的方法,探讨了印尼雅加达沿海地区30年来发展对渔业状况的影响,其中包括丹戎不ok港的扩建、雅加达西海岸的豪华房地产开发、安科尔海滩的填海工程也改变了当地的沿海渔业状况。在检验问卷信度后,采用平均方差提取(AVE)值的Fornell-Larckel标准评估研究设计的效度。结果表明:生态条件(AVE = 0.804)、渔获力(AVE = 0.907)、总渔获量(AVE = 0.920)和总收入(AVE = 0.885)的AVE值均大于0.5;PPGIS对80名参与者进行了调查,绘制了1990年至2020年雅加达沿海地区的地图,结果表明,在过去30年里,红树林、池塘和渔场的数量减少,工业区的规模增加。PLS-SEM分析表明,生态系统条件与渔获量呈正相关(β = 0.435, p <;0.001)、生态系统状况和总捕获量(β = 0.576, p <;0.001)、渔获量和总收入(β = 0.220, p <;0.01),总捕获量和总收入(β = 0.490, p <;0.001),生态系统条件与总收入(β = 0.262, p <;0.012)。生态系统条件的改善将导致渔获量、捕捞效率和收入的增加。本研究还提出了包括公众参与、共同管理、社区驱动的栖息地恢复项目和参与式环境影响评估在内的管理策略,可为决策者和利益相关者管理小规模沿海渔业提供帮助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessing the dynamics of small-scale coastal fisheries using public participatory GIS with structural equation model for fisheries management in Jakarta's coastal area, Indonesia
Rapid coastal development often challenges coastal fisheries, resulting in limited opportunities, particularly for small-scale fisheries. However, the knowledge on how coastal urbanization drives dynamics in small-scale fishery over time is relative limited. Based on the offline survey and interview questionnaire, public participatory geographic information systems (PPGIS) was coupled with partial least squares structural equation model (PLS-SEM) to explore the impact of development on fishery condition over 30 years in the coastal areas of Jakarta, Indonesia, where the expansion of Tanjung Priok Port, luxury property development along Jakarta's western coast, and the Ancol Beach reclamation for tourism and recreation altered the coastal fishery condition locally. After testing questionnaire reliability, Fornell-Larckel criterion with average variance extracted (AVE) values was used to assess the validity of study design. The results showed that AVE values were higher than 0.5 for ecosystem condition (AVE = 0.804), fishing effort (AVE = 0.907), total catch (AVE = 0.920), and total income (AVE = 0.885). PPGIS was conducted with 80 participants' survey to map Jakarta's coastal area from 1990 to 2020, indicating a decline in mangroves, ponds, and fishing grounds over the past 30 years and an increase in the size of industrial areas. PLS-SEM analysis showed that positive correlations between ecosystem condition and fishing effort (β = 0.435, p < 0.001), ecosystem condition and total catch (β = 0.576, p < 0.001), fishing effort and total income (β = 0.220, p < 0.01), total catch and total income (β = 0.490, p < 0.001), and ecosystem condition and total income (β = 0.262, p < 0.012). Improved ecosystem conditions will lead to increased catches, fishing efficiency, and income. This study also suggests management strategies involving public participation, co-management, community-driven habitat restoration projects, and participatory environmental impact assessments, which can assist policymakers and stakeholders in managing small-scale coastal fisheries.
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来源期刊
Ocean & Coastal Management
Ocean & Coastal Management 环境科学-海洋学
CiteScore
8.50
自引率
15.20%
发文量
321
审稿时长
60 days
期刊介绍: Ocean & Coastal Management is the leading international journal dedicated to the study of all aspects of ocean and coastal management from the global to local levels. We publish rigorously peer-reviewed manuscripts from all disciplines, and inter-/trans-disciplinary and co-designed research, but all submissions must make clear the relevance to management and/or governance issues relevant to the sustainable development and conservation of oceans and coasts. Comparative studies (from sub-national to trans-national cases, and other management / policy arenas) are encouraged, as are studies that critically assess current management practices and governance approaches. Submissions involving robust analysis, development of theory, and improvement of management practice are especially welcome.
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