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Evaluating the impacts of El Nino events on a marine bay ecosystem based on selected ecological network indicators

机译:基于所选生态网络指标评估EL NINO事件对海湾生态系统的影响

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摘要

El Nino events have great impacts on marine ecosystems worldwide, ranging from low trophic plankton production to fishery resources. Understanding how ecosystems respond to El Nino is the key to the success of ecosystem-based fisheries management (EBFM). However, few studies have focussed on the ecosystems respond to this natural perturbation in China seas, and the selection of effective ecological network analyses (ENA) indicators to evaluate the ecosystem response under El Nino conditions needs to be assessed. In this study, we constructed Ecopath models for Haizhou Bay in ENSO-neutral (2013) and El Nino (2015) years. Comprehensive analyses were conducted to evaluate ENA indicators in terms of sensitivity to the ecosystem variations, robustness to the model parameters uncertainties, and statistical check. Results showed that there were obvious variations in the species composition and biomass in the Haizhou Bay ecosystem under the El Nino event. Four optimal ENA indicators were selected, including total system throughput, total primary production, total system non-cycled throughflow, and ascendency. The indicators further showed a shrunken ecosystem size, increased energetic efficiency, and less organised ecosystem under the El Nino event. These findings enhance our understanding of ecosystem dynamics and underscore the need for precautionary management under El Nifio conditions. Moreover, this work can be helpful in guiding the further selection of ENA indicators for evaluating and managing marine ecosystems during El Nino events elsewhere and thusly contribute to the implementation of EBFM.
机译:El Nino活动对全球海洋生态系统产生了很大的影响,从低营养的普拉克斯省生产到渔业资源。了解生态系统如何应对El Nino是基于生态系统的渔业管理(EBFM)成功的关键。然而,很少有研究过于生态系统对中国海洋的这种自然扰动作出反应,并且需要评估有效的生态网络分析(ENA)指标,以评估EL NINO条件下的生态系统反应。在这项研究中,我们为恩洲湾(2013年)和El Nino(2015)年建造了海州湾的eCopath模型。在对生态系统变异的敏感性方面,进行综合分析以评估ena指标,对模型参数不确定性的鲁棒性以及统计检查。结果表明,EL NINO事件下的海州海湾生态系统中的物种组成和生物质存在明显变化。选择了四种最佳ENA指示灯,包括总系统吞吐量,总主要生产,总系统非循环通流,以及上升。该指标进一步阐述了缩小的生态系统规模,提高了精力充沛的效率,较少的组织生态系统,在El Nino事件下。这些调查结果提高了我们对生态系统动态的理解,并强调了EL Nifio条件下对预防管理的需求。此外,这项工作可能有助于引导ENA指标的进一步选择,以在其他地方的EL NINO活动期间评估和管理海洋生态系统,从而有助于EBFM的实施。

著录项

  • 来源
    《Science of the total environment》 |2021年第1期|144205.1-144205.12|共12页
  • 作者单位

    Laboratory of Fisheries Ecosystem Monitoring and Assessment College of Fisheries Ocean University of China Qingdao 266003 China Field Observation and Research Station of Haizhou Bay Fishery Ecosystem Ministry of Education Qingdao 266003 China;

    Laboratory for Marine Fisheries and Food Production Processes Pilot National Laboratory for Marine Science and Technology (Qingdao) Qingdao 266237 China Institute of Hydrobiology Chinese Academy of Sciences Wuhan 430072 China;

    Laboratory of Fisheries Ecosystem Monitoring and Assessment College of Fisheries Ocean University of China Qingdao 266003 China Field Observation and Research Station of Haizhou Bay Fishery Ecosystem Ministry of Education Qingdao 266003 China;

    Laboratory of Fisheries Ecosystem Monitoring and Assessment College of Fisheries Ocean University of China Qingdao 266003 China Field Observation and Research Station of Haizhou Bay Fishery Ecosystem Ministry of Education Qingdao 266003 China;

    Laboratory of Fisheries Ecosystem Monitoring and Assessment College of Fisheries Ocean University of China Qingdao 266003 China Field Observation and Research Station of Haizhou Bay Fishery Ecosystem Ministry of Education Qingdao 266003 China;

    Laboratory of Fisheries Ecosystem Monitoring and Assessment College of Fisheries Ocean University of China Qingdao 266003 China Field Observation and Research Station of Haizhou Bay Fishery Ecosystem Ministry of Education Qingdao 266003 China School of Marine Sciences University of Maine ME 04469 USA;

    Laboratory of Fisheries Ecosystem Monitoring and Assessment College of Fisheries Ocean University of China Qingdao 266003 China Laboratory for Marine Fisheries and Food Production Processes Pilot National Laboratory for Marine Science and Technology (Qingdao) Qingdao 266237 China Field Observation and Research Station of Haizhou Bay Fishery Ecosystem Ministry of Education Qingdao 266003 China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Climate variability; ENA indicators; Food web; Ecopath; Ecosystem-based fisheries management; Uncertainty analyses;

    机译:气候变异性;ena指标;食物网;ecopath;基于生态系统的渔业管理;不确定性分析;

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