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首页> 外文期刊>Estuarine Coastal and Shelf Science >Seasonal dynamics and functioning of the Sylt-Romo Bight, northern Wadden Sea
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Seasonal dynamics and functioning of the Sylt-Romo Bight, northern Wadden Sea

机译:瓦登海北部叙尔特-罗莫湾的季节动态和功能

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摘要

The Wadden Sea undergoes large seasonal changes in species abundance and biomass comprising its complex food web. This study examined four carbon food web models of the Sylt-Romo Bight, one for each season. Each flow model consisted of 66 compartments depicting the respective biomass and energy budget of each ecosystem component and the flows between them. Ecological network analysis (ENA), a set of algorithms to evaluate the functioning of ecological networks, was used to assess the seasonal variability in the system properties of the Sylt-Romo Bight food webs. We used an uncertainty analysis to quantitatively evaluate the significance of inter-seasonal differences. Clear seasonal variation was observed in most of the whole system indicators such as the flow diversity, the effective link density and the relative redundancy which varied by 12.8%,17.3% and 10.3% respectively between the highest in summer and the lowest during fall and winter, whereas the relevant ascendency ratio was the highest in winter during the least active months. Other indices such as the average mutual information index, which fluctuated between 1.73 in fall and 1.79 in spring, showed no significant variation between seasons. Results from ENA have great potential for ecosystem management, as it provides a holistic assessment of the functioning of ecosystems. (C) 2018 Elsevier Ltd. All rights reserved.
机译:瓦登海的物种丰富度和生物量(包括其复杂的食物网)经历了巨大的季节性变化。这项研究检查了Sylt-Romo Bight的四种碳食物网模型,每个季节一种。每个流量模型由66个区室组成,分别描绘了每个生态系统组件的生物量和能量收支以及它们之间的流量。生态网络分析(ENA)是一套评估生态网络功能的算法,用于评估Sylt-Romo Bight食物网的系统特性的季节性变化。我们使用不确定性分析来定量评估季节间差异的重要性。在整个系统的大多数指标(如流量多样性,有效链路密度和相对冗余)中观察到明显的季节性变化,夏季最高和秋季和冬季最低之间的差异分别为12.8%,17.3%和10.3%。 ,而在最不活跃的月份中,相关升序比在冬季最高。其他指数,例如平均相互信息指数,在秋天的1.73和春天的1.79之间波动,没有显示季节之间的显着变化。 ENA的结果具有生态系统管理的巨大潜力,因为它提供了对生态系统功能的整体评估。 (C)2018 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Estuarine Coastal and Shelf Science》 |2018年第5期|100-118|共19页
  • 作者单位

    Alfred Wegener Inst, Helmholtz Zentrum Polar & Meeresforsch, Wattenmeerstn Sylt Hafenstr 43, D-25992 List Auf Sylt, Germany;

    Alfred Wegener Inst, Helmholtz Zentrum Polar & Meeresforsch, Wattenmeerstn Sylt Hafenstr 43, D-25992 List Auf Sylt, Germany;

    Stellenbosch Univ, Dept Bot & Zool, ZA-7600 Stellenbosch, South Africa;

    Univ North Carolina Wilmington, Dept Biol & Marine Biol, Wilmington, NC 28403 USA;

    Univ North Carolina Wilmington, Dept Biol & Marine Biol, Wilmington, NC 28403 USA;

    Aalborg Univ, Sect Environm Technol, Dept Chem & Biosci, DK-9220 Aalborg, Denmark;

    Christian Albrechts Univ Kiel, Forsch & Technol Zentrum Westkuste FTZ, Hafentorn 1, D-25761 Busum, Germany;

    Alfred Wegener Inst, Helmholtz Zentrum Polar & Meeresforsch, Wattenmeerstn Sylt Hafenstr 43, D-25992 List Auf Sylt, Germany;

    Stiftung Tiertirztliche Hsch Hannover, Inst Terr & Aquat Wildtierforsch, Werftstr 6, D-25761 Busum, Germany;

    Alfred Wegener Inst, Helmholtz Zentrum Polar & Meeresforsch, Wattenmeerstn Sylt Hafenstr 43, D-25992 List Auf Sylt, Germany;

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

    Ecological network analysis; Food web model; Seasonal variation; Ecosystem functioning; Uncertainty analysis;

    机译:生态网络分析;食物网模型;季节变化;生态系统功能;不确定性分析;

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