Meteorological drivers of hypolimnetic anoxia in a eutrophic, north temperate lake

IF 3.2 3区 环境科学与生态学 Q2 ECOLOGY Ecological Modelling Pub Date : 2017-01-10 DOI:10.1016/j.ecolmodel.2016.10.014
Craig A. Snortheim , Paul C. Hanson , Katherine D. McMahon , Jordan S. Read , Cayelan C. Carey , Hilary A. Dugan
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引用次数: 65

Abstract

Oxygen concentration is both an indicator and driver of water quality in lakes. Decreases in oxygen concentration leads to altered ecosystem function as well as harmful consequences for aquatic biota, such as fishes. The responses of oxygen dynamics in lakes to climate-related drivers, such as temperature and wind speed, are well documented for lake surface waters. However, much less is known about how the oxic environment of bottom waters, especially the timing and magnitude of anoxia in eutrophic lakes, responds to changes in climate drivers. Understanding how important ecosystem states, such as hypolimnetic anoxia, may respond to differing climate scenarios requires a model that couples physical-biological conditions and sufficiently captures the density stratification that leads to strong oxygen gradients. Here, we analyzed the effects of changes in three important meteorological drivers (air temperature, wind speed, and relative humidity) on hypolimnetic anoxia in a eutrophic, north temperate lake using the anoxic factor as an index that captures both the temporal and spatial extent of anoxia. Air temperature and relative humidity were found to have a positive correlation with anoxic factor, while wind speed had a negative correlation. Air temperature was found to have the greatest potential impact of the three drivers on the anoxic factor, followed by wind speed and then relative humidity. Across the scenarios of climate variability, variation in the simulated anoxic factor was primarily due to changes in the timing of onset and decay of stratification. Given the potential for future changes in climate, especially increases in air temperature, this study provides important insight into how these changes will alter lake water quality.

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北温带富营养化湖泊低代谢缺氧的气象驱动因素
氧浓度是湖泊水质的指示因子和驱动因子。氧浓度的降低导致生态系统功能的改变以及对水生生物(如鱼类)的有害后果。湖泊表层水的氧动力学响应与气候相关的驱动因素,如温度和风速,有很好的文献记载。然而,对于底部水域的含氧环境,特别是富营养化湖泊缺氧的时间和程度如何响应气候驱动因素的变化,人们知之甚少。了解生态系统状态(如低氧缺氧)对不同气候情景的重要反应,需要一个模型,该模型将物理和生物条件结合起来,并充分捕捉导致强氧梯度的密度分层。本文以缺氧因子为指标,分析了北温带富营养化湖泊中三个重要气象驱动因素(气温、风速和相对湿度)变化对低氧缺氧的影响。气温、相对湿度与缺氧因子呈正相关,风速与缺氧因子负相关。三种驱动因素对缺氧因子的潜在影响最大的是气温,其次是风速,然后是相对湿度。在所有气候变率情景中,模拟缺氧因子的变化主要是由于分层开始和衰减时间的变化。考虑到未来气候变化的可能性,特别是气温的升高,这项研究为这些变化将如何改变湖泊水质提供了重要的见解。
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
Ecological Modelling
Ecological Modelling 环境科学-生态学
CiteScore
5.60
自引率
6.50%
发文量
259
审稿时长
69 days
期刊介绍: The journal is concerned with the use of mathematical models and systems analysis for the description of ecological processes and for the sustainable management of resources. Human activity and well-being are dependent on and integrated with the functioning of ecosystems and the services they provide. We aim to understand these basic ecosystem functions using mathematical and conceptual modelling, systems analysis, thermodynamics, computer simulations, and ecological theory. This leads to a preference for process-based models embedded in theory with explicit causative agents as opposed to strictly statistical or correlative descriptions. These modelling methods can be applied to a wide spectrum of issues ranging from basic ecology to human ecology to socio-ecological systems. The journal welcomes research articles, short communications, review articles, letters to the editor, book reviews, and other communications. The journal also supports the activities of the [International Society of Ecological Modelling (ISEM)](http://www.isemna.org/).
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