Modelling physical and ecological processes in medium-to-large deep European perialpine lakes: a review

IF 0.9 4区 环境科学与生态学 Q4 LIMNOLOGY
C. Dresti, A. Fenocchi, D. Copetti
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引用次数: 3

Abstract

In this paper we review a significant sample of the modelling studies carried out on medium-to-large deep European perialpine lakes (MLDEPLs). The reviewed bibliographic corpus was obtained querying Elsevier’s Scopus® database with a tailored search string on 8 January 2021. Results were filtered, accepting only journal papers written in English dealing with natural lakes having surface area > 10 km2. A list of 75 works was obtained, published between 1986 and 2021. Most studies have been carried out on Swiss lakes (44 out of 75 papers), Lake Geneva being the most investigated environment. A significant positive correlation was found between lake surface area and volume and the number of dedicated papers, suggesting that scientific attention is higher for environments characterised by large dimensions and relevant socio-economic interests. Both the number of papers and their citation count have experienced an exponential growth in time, pointing to a rising interest in quantitative modelling applications, but also to the increasing availability and ease of use of numerical modelling tools. Among the 75 selected papers, 55 employ a hydrodynamic driver, used alone or coupled with an ecological module, while the remnant 20 works adopt an ecological-only model. Among the papers employing hydrodynamic models, the use of three-dimensional (3D) drivers is surprisingly slightly more frequent (28 papers) than that of one-dimensional (1D) ones (26 papers), with most 3D applications having been published in the last 2011-2020 decade (24 papers). This reflects the interest on the hydrodynamic processes leading to the observed spatial heterogeneities in the biochemical properties of the MLDEPLs. However, coupling of ecological modules with 3D hydrodynamic drivers, to directly simulate these phenomena, is still restricted (2 papers) compared to that of 1D hydrodynamic drivers (8 papers), due to calibration and computational difficulties, which could be strongly reduced by future research achievements. Nevertheless, 1D models allow performing long-term prognoses considering multiple climate change and watershed management scenarios, due to their much smaller computational burden. The largest group of works dealing with ecological-only models (6 papers) is dedicated to applications of phosphorus budget models, which can above all be used to forecast variations in lake productivity in response to changes in the availability of the limiting nutrient. Graphical abstract
欧洲中大型深高山湖泊的物理和生态过程模拟:综述
在本文中,我们回顾了在欧洲中大型深高山湖泊(MLDEPLs)上进行的模拟研究的一个重要样本。审查的书目语料库是在2021年1月8日使用定制的搜索字符串查询爱思唯尔的Scopus®数据库获得的。对结果进行筛选,只接受用英文撰写的关于表面积为10平方公里的自然湖泊的期刊论文。获得了一份在1986年至2021年间出版的75部作品的清单。大多数研究都是在瑞士的湖泊上进行的(75篇论文中有44篇),日内瓦湖是被调查最多的环境。湖泊表面积和体积与专门论文数量之间存在显著的正相关关系,表明科学对以大尺度和相关社会经济利益为特征的环境的关注更高。随着时间的推移,论文数量和被引次数都呈指数增长,这表明人们对定量建模应用的兴趣日益浓厚,同时也表明数值建模工具的可用性和易用性日益增加。在入选的75篇论文中,55篇采用了水动力驱动,单独使用或与生态模块结合使用,而剩下的20篇论文采用了仅生态模型。在采用水动力模型的论文中,使用三维(3D)驱动程序的频率(28篇)比使用一维(1D)驱动程序的频率(26篇)要高一些,令人惊讶的是,大多数3D应用程序都是在2011-2020年的过去十年中发表的(24篇)。这反映了对流体动力学过程的兴趣,导致观察到的MLDEPLs生物化学性质的空间异质性。然而,由于校准和计算困难,与一维水动力驱动(8篇)相比,将生态模块与三维水动力驱动耦合直接模拟这些现象仍然受到限制(2篇),未来的研究成果将大大减少这一限制。然而,由于一维模型的计算负担要小得多,因此可以考虑多种气候变化和流域管理情景进行长期预测。最大的一组关于生态模型的工作(6篇论文)致力于磷预算模型的应用,磷预算模型首先可以用来预测湖泊生产力的变化,以响应限制养分的可用性的变化。图形抽象
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Limnology
Journal of Limnology 地学-湖沼学
CiteScore
2.70
自引率
6.20%
发文量
12
审稿时长
3 months
期刊介绍: The Journal of Limnology publishes peer-reviewed original papers, review papers and notes about all aspects of limnology. The scope of the Journal of Limnology comprises the ecology, biology, microbiology, physics, and chemistry of freshwaters, including the impact of human activities, management and conservation. Coverage includes molecular-, organism-, community-, and ecosystem-level studies on both applied and theoretical issues. Proceedings of workshops, specialized symposia, conferences, may also be accepted for publication.
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