Atlantis end-to-end modeling to explore ecosystem dynamics in the Strait of Sicily, Central Mediterranean Sea

IF 4.8 2区 环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Matteo Sinerchia , Fabio Fiorentino , Francesco Colloca , Andrea Cucco , Germana Garofalo , Angelo Perilli , Giovanni Quattrocchi , Elizabeth A. Fulton
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引用次数: 0

Abstract

This paper describes the first application of the end-to-end model Atlantis in the Strait of Sicily (SoS). The model is designed to simulate ecosystem dynamics under the influence of fishing activities. Model performance was evaluated by comparing predicted biomass and catch of target species against observed data, utilizing multiple quantitative metrics. It reproduces accurately trophic dynamics, and biomass and catch of main target species in the SoS. Sensitivity analysis of the key model parameters identified nutrient loading and fishing pressure as the major processes influencing the ecosystem trophic spectrum and generating bottom-up and top-down effects. The results also emphasized the importance of incorporating uncertainty estimation in model predictions and robust selection of key parameters. The SoS Atlantis represents a strategic tool for the application of Ecosystem Approach to Fisheries Management (EAFM) in the Strait of Sicily and for assessing the effect of alternative management scenarios under a holistic framework.
亚特兰蒂斯端对端建模,探索地中海中部西西里海峡的生态系统动态
本文介绍了端到端模型 Atlantis 在西西里海峡(SoS)的首次应用。该模型旨在模拟渔业活动影响下的生态系统动态。通过将预测的目标物种生物量和渔获量与观测数据进行比较,利用多个定量指标对模型性能进行了评估。该模型准确再现了 SoS 中的营养动态以及主要目标物种的生物量和捕获量。对模型关键参数的敏感性分析表明,营养负荷和捕捞压力是影响生态系统营养级谱、产生自下而上和自上而下效应的主要过程。分析结果还强调了将不确定性估计纳入模型预测和关键参数稳健选择的重要性。SoS Atlantis 是在西西里海峡应用渔业管理生态系统方法 (EAFM) 的战略工具,也是在整体框架下评估替代管理方案效果的战略工具。
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来源期刊
Environmental Modelling & Software
Environmental Modelling & Software 工程技术-工程:环境
CiteScore
9.30
自引率
8.20%
发文量
241
审稿时长
60 days
期刊介绍: Environmental Modelling & Software publishes contributions, in the form of research articles, reviews and short communications, on recent advances in environmental modelling and/or software. The aim is to improve our capacity to represent, understand, predict or manage the behaviour of environmental systems at all practical scales, and to communicate those improvements to a wide scientific and professional audience.
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