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首页> 外文期刊>Doklady Earth Sciences >An Integrated Mathematical Model of the Large Marine Ecosystem of the Barents Sea and the White Sea as a Tool for Assessing Natural Risks and Efficient Use of Biological Resources
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An Integrated Mathematical Model of the Large Marine Ecosystem of the Barents Sea and the White Sea as a Tool for Assessing Natural Risks and Efficient Use of Biological Resources

机译:白海大型海洋生态系统的集成数学模型,作为评估生物资源的自然风险和有效利用的工具

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摘要

An integrated mathematical model of the Barents Sea and White Sea Large Marine Ecosystem proposed as a tool for assessing natural risks and efficient use of the biological resources is considered. The model includes the following main blocks (modules) of (a) oceanographic variation and biological productivity; (b) trophodynamics and fishery management; (c) environmental and biota pollution; (d) social and economic development; and (e) assessment of ecological risks from marine activities. The results of using the integrated model for assessing hydrological variability, long-term dynamics of ecosystem productivity, and assessment of fishing pressure on the most important fishery species of the Barents Sea are presented. A new scheme of zoning of the Barents Sea area performed under the supervision of Academician G.G. Matishov with respect to geomorphological and hydrological factors is proposed. A comparative scheme of distribution of the estimated gross primary production in the Barents Sea area in the second half of the twentieth century and in the 2010s is presented. The energy balance of the Barents Sea ecosystem in the late 1900s and early 2000s is calculated by the model of trophodynamics. The necessity of using mathematical models of the ecosystem instead of single-species models during the calculation of fishing pressure on the populations is suggested. To estimate fishing mortality, it is necessary to take into account not only spatial effects related to the features of a fish life cycle and distribution of fishing pressure, but also the impact of climate factors and ecosystem interactions. The use of recent information technologies both in the field of accumulation and analysis of the primary data and in the area of their subsequent generalization for the diagnosis of past changes makes it possible to understand better the possible consequences of the existing plans for developing and use of available natural resources for the Barents Sea and White Sea LME based on the experience (sometimes negative) of recent years and expected climate changes.
机译:考虑了作为评估自然风险和有效利用生物学资源的工具的综合数学模型。该模型包括以下主块(模块)(a)海洋变异和生物生产力; (b)滋养动力学和渔业管理; (c)环境和生物污染; (d)社会和经济发展; (e)评估海洋活动的生态风险。使用综合模型评估水文变异性,生态系统生产力长期动态的结果,以及对渔业大海最重要的渔业物种的捕捞压力评估。在院士G.G的监督下进行了小牧人海域分区的新​​计划。提出了关于地貌和水文因素的Matishov。提出了二十世纪下半叶和2010年代的估计估计初级产量的比较方案。 19世纪后期和2000年代初期的龙族海洋生态系统的能量平衡由滋肾动力学模型计算。建立了在计算群体捕捞压力期间使用生态系统的数学模型而不是单种式模型的必要性。为了估算捕捞死亡率,有必要考虑到与鱼类生命周期的特征有关的空间效果和钓鱼压力分配,也是气候因素和生态系统相互作用的影响。使用最近的信息技术在主要数据的积累和分析领域以及其随后的过去变化诊断的领域的领域,使得可以更好地理解现有计划的开发和使用计划的可能后果基于近年来的经验(有时负面)和预期的气候变化,可提供自然资源的海外海洋LME。

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    《Doklady Earth Sciences》 |2019年第2期|963-968|共6页
  • 作者单位

    Russian Acad Sci Southern Sci Ctr Fed Res Ctr Rostov Na Donu 344006 Russia;

    Russian Acad Sci Southern Sci Ctr Fed Res Ctr Rostov Na Donu 344006 Russia;

    Russian Acad Sci Southern Sci Ctr Fed Res Ctr Rostov Na Donu 344006 Russia;

    Russian Acad Sci Southern Sci Ctr Fed Res Ctr Rostov Na Donu 344006 Russia;

    Russian Acad Sci Southern Sci Ctr Fed Res Ctr Rostov Na Donu 344006 Russia;

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