Abstract

Cisco (Coregonus artedi) is the most common coldwater stenothermal fish in Minnesota lakes. Water temperature (T) and dissolved oxygen (DO) in lakes are important controls of fish growth and reproduction and likely change with future climate warming. Built upon a previous study, this study uses a modified method to identify which of 620 cisco lakes in Minnesota can still support cisco populations under future climate and therefore be classified as cisco refuge lakes. The previous study used oxythermal stress parameter TDO3, the temperature at DO of 3 mg/L, simulated only from deep virtual lakes to classify 620 cisco lakes. Using four categories of virtual but representative cisco lakes in modified method, a one-dimensional water quality model MINLAKE2012 was used to simulate daily T and DO profiles in 82 virtual lakes under the past (1961–2008) and two future climate scenarios. A multiyear average of 31-day largest TDO3 over variable benchmark (VB) periods, AvgATDO3VB, was calculated from simulated T and DO profiles using FishHabitat2013. Contour plots of AvgATDO3VB for four categories of virtual lakes were then developed to reclassify 620 cisco lakes into Tier 1 (AvgATDO3VB < 11 °C) or Tier 2 refuge lakes, and Tier 3 non-refuge lakes (AvgATDO3VB > 17 °C). About 20% of 620 cisco lakes are projected to be refuge lakes under future climate scenarios, which is a more accurate projection (improving the prediction accuracy by ~6.5% from the previous study) since AvgATDO3VB was found to vary by lake categories.

Highlights

  • Water temperature (T, Table 1) and available dissolved oxygen (DO) in lakes are two important water quality parameters that control fish growth and reproduction [1,2]

  • The daily TDO3 increases from spring to summer and has a maximum value in July–August, as shown in Figure 5a for one selected medium-deep virtual lake for the past and two future climate scenarios

  • In the previous study [10], all 14 shallow lakes were classified as non-refuge lakes, which is the same result as the reclassification using AvgATDO3 from the 12 shallow virtual lakes

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Summary

Introduction

Water temperature (T, Table 1) and available dissolved oxygen (DO) in lakes are two important water quality parameters that control fish growth and reproduction [1,2]. Both T and DO are projected to change with future climate warming [3,4,5,6,7], affect fish habitat in lakes and reservoirs. Studying fish habitat in lakes using observed or simulated T and DO daily profiles is necessary. T and DO daily profiles were simulated in different lakes to calculate various fish habitat parameters [10,11,12,13]

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