Resilience patterns in the analysis of social-ecological networks of small-scale fishing in a subtropical estuarine system

IF 4.8 2区 环境科学与生态学 Q1 OCEANOGRAPHY
Michele Cristina Nether , José Milton Andriguetto-Filho , Mauricio Almeida Noernberg , André Pereira Cattani , Isabeli Cristina Gomes Mesquista , Rodrigo Perereira Medeiros , Carlos Schneider Batista , José Hugo Dias Godim Guanais , Paulo da Cunha Lana , Maikon Di Domenico
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Abstract

Network analysis concepts and tools are being increasingly applied to Social-ecological systems (SES) in human-environment and sustainability sciences. In this study, we used the Gao metric (βeff) to measure the resilience of networks in small-scale fisheries (SSF) in the Paranaguá Estuarine Complex (PEC). The purpose was to evaluate the variations and trends in network resilience across eight hydrological sectors of the PEC during different seasons. Our analysis revealed that the βeff metric varied significantly across the eight SES sectors, suggesting that resilience is not uniformly distributed. Notably, the sectors located internally the estuary exhibited lower resilience values than the others. The average trophic level of the fishery catches was the higher hierarchical position variable that most affected the network topological metrics, followed by variables magnitude of conflicts, water and sediment quality, and rainfall. Our hydrodynamic sectorization, reflecting ecological and social interactions, enabled us to identify distinct interaction networks within the PEC. This shows the complexity of managing these SES to ensure the sustainability and resilience of the system. While other variables and spatial and temporal scales could lead to different estimates and relationships, our findings shed light on the importance of resilience quantification and the interaction networks within SES to manage them effectively.

Abstract Image

亚热带河口系统小型渔业社会生态网络分析中的复原模式
网络分析概念和工具正越来越多地应用于人类-环境和可持续性科学中的社会-生态系统(SES)。在本研究中,我们使用 Gao 指标(βeff)来衡量巴拉那瓜河口综合体(PEC)小型渔业(SSF)网络的复原力。目的是评估巴拉那瓜河口综合体八个水文区域在不同季节网络复原力的变化和趋势。我们的分析表明,βeff 指标在八个 SES 区域之间存在显著差异,表明恢复力并非均匀分布。值得注意的是,位于河口内部的扇形区的恢复力值低于其他扇形区。渔业渔获量的平均营养级是对网络拓扑指标影响最大的高分层位置变量,其次是冲突程度、水质和沉积物质量以及降雨量等变量。我们的水动力分区反映了生态和社会互动,使我们能够识别 PEC 内不同的互动网络。这显示了管理这些生态系统和环境以确保系统可持续性和恢复力的复杂性。虽然其他变量和时空尺度可能导致不同的估计值和关系,但我们的研究结果阐明了复原力量化和生态系统服务内部互动网络对有效管理这些系统的重要性。
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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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