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Simulated long-term temperature and dissolved oxygen characteristics of lakes in the north-central United States and associated fish habitat limits

机译:模拟的美国中北部湖泊的长期温度和溶解氧特征以及相关的鱼类栖息地限制

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摘要

Water temperatures and dissolved oxygen (DO) concentrations in lakes are related to climate. Temperature and DO in 27 lake classes (3 depth classes x 3 surface area classes x 3 trophic states) were simulated by numerical models with daily weather data input. The weather data used are from the 25-yr period 1955-1979. The lakes and the weather are representative of the north-central U.S. Daily profiles of water temperature and DO concentrations were computed and several temperature and DO characteristics extracted from this information base. Temperature and minimum oxygen requirements for good growth of cold, cool, and warm water fish were then applied to determine the length of the good-growth periods and the relative lake volumes available for good growth. All characteristics are presented in graphical form using lake surface area, maximum lake depth, and Secchi depth as independent variables. The surface area and maximum depth were combined in a lake geometry ratio which is a relative measure of the susceptibility of a lake to stratification; Secchi depth was retained as a measure of lake transparency and trophic state. To determine an effect of latitude, we investigated a southern and northern region separately. The effect of climate change due to a projected doubling of atmospheric CO_2 was investigated by applying the output from the GISS 2 x CO_2 global circulation model to the lake models.
机译:湖泊中的水温和溶解氧(DO)浓度与气候有关。利用每日天气数据输入的数值模型模拟了27个湖泊类别(3个深度类别x 3个表面积类别x 3个营养状态)的温度和DO。使用的天气数据来自1955-1979年的25年期间。湖泊和天气是美国中北部的代表。计算了水温和溶解氧浓度的每日概况,并从该信息库中提取了一些温度和溶解氧特性。然后应用冷,凉和温水鱼的良好生长所需的温度和最低氧气需求量,以确定生长良好的时间长度和可用于良好生长的相对湖泊量。所有特征均以图形式表示,使用湖泊表面积,最大湖泊深度和塞奇深度作为自变量。表面积和最大深度以湖泊的几何比率进行组合,这是对湖泊分层敏感性的相对度量;保留了Secchi深度,以衡量湖泊的透明性和营养状态。为了确定纬度的影响,我们分别研究了南部和北部地区。通过将GISS 2 x CO_2全球环流模型的输出应用于湖泊模型,研究了由于大气中CO_2预计翻倍而引起的气候变化的影响。

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