From the cornbeltto the north woods; understanding the response of Minnesota. Chris Lenhart Research Assistant Professor BBE Department

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Transcription:

From the cornbeltto the north woods; understanding the response of Minnesota watersheds to climate change Chris Lenhart Research Assistant Professor BBE Department

1. Background Differential response of MN watersheds to climate change(john Nieber, co P.I.) Funded by WRC/USGS grant Genesis -to understand difference between north and south; to understand gap between Q:P ratio, rainfall change and streamflow change

Outline 1. Background and approach 2. Rainfall and streamflowtrends, before and after 1980; IHA and Q:P analysis 3. Causes of streamflow change 4. Application to Future 5. Management implications 6. Discussion and Next Steps

Approach: learning from recent response to climate change Climatology perspective Hydrology perspective: onthe-ground (or streambed)

Comparing recent (30 yrs) climate change to GCM predictions GCMs: more variability, flooding and drought Southern vs. northern MN response Large floods not increased significantly Low to mod. High flows have increased Variability decreased (c.v.) Northern MN earlier snowmelt runoff; greater winter flow

The other inconvenient truth Jon Foley (IonE) Climate change doesn t happen in isolation Other impacts can override climate change signature Land-use / drainage change Groundwater withdrawal: Rio Grande Long-term oscillations

2. Methods Focus on hydrologic processes /water budget, not any single component. Rainfall-runoff (Q: P) ratio Indicators of Hydrologic alteration (IHA) stats Variability (c.v.) Intermittent vs. perennial flow Modeling of soil water balance with SWAP Identify management issues by region

Research questions How has Q:P ratio changed by region and season? How have timing, volume, duration and frequency changed as well as magnitude How well does past inform us about future streamflow trends? What are the management implications of these findings?

3. Findings: precipitation trends Trends since 1980 by climate regions Statewide trend

Annual Precip South Central MN 50 45 40 35 30 25 20 15 10 5 0 1896 1903 1910 1917 1924 1931 1938 1945 1952 1959 1966 1973 1980 1987 1994 2001 2008

Streamflow response in recent past IHA stats used to compare 1980-2008 to pre-1980 magnitude mean duration timing, frequency environmental flows extreme flows Why differential response between North and South? Runoff is a function of many variables

The doctrine of extremes Engineering hydrology has focused on extremes Ecological hydrology concerned with timing, duration, volume also Blue Earth River- mean monthly flow 80.00 70.00 60.00 50.00 40.00 30.00 20.00 10.00 0.00 1940-1979 1980-2008

Streamflow magnitude % change to mean annual flow 120 100 80 60 40 20 0-20 South North

Median monthly flows (aggregate of sites)

Mean monthly flow change Mean monthly flows for Minnesota River @ Mankato between 1903-2007 18000 Q (cfs) 16000 14000 12000 10000 8000 6000 4000 2000 0 1980-2007 1903-1979 1903-1950 1990-2007 1903-1929 1903-1925 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

Flow duration Minnesota River @Mankato

Low flow trends (median of low daily flows for month) North - Sturgeon River Pink 1980-2010; Blue 1940-1980 South -Minnesota River Pink 1980-2010; Blue 1940-1980

Timing Northern forested watersheds: winter low flow increases, earlier snowmelt Southern Ag: peaks -no consistent trends Increased summer flows, decreased drawdown period

Extreme events # of low and high pulses No sig. diff in north Fewer low flow pulses in most southern MN rivers Extreme flows (floods and droughts) e.g. about 10 year flood. No sig. increase Root River large floods 35000 30000 25000 20000 15000 10000 5000 0 1910 2009

Variability of flow Coefficient of variation (c.v.) declined at all sites Yellow Medicine: -40% (4.0 to 2.4) Bois Brule: no sig change (0.48 to 0.42) Groundwater-fed streams more stable Eastern forest region less variable than prairie / Great plains

Q:P ratio Why use Q:P? Indicator of change in hydrologic process

Change in Q:P ratio 1950-1980 1980-2010

Q:P significance (annual mean)

Significant Q:P changes by season Summer Fall

Q:P by month in Blue Earth River 45.0% 40.0% 35.0% 6 5 Monthly mean precip. at Mankato 30.0% 25.0% 20.0% 4 3 15.0% 10.0% 5.0% 0.0% 2 1 0 JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC

4. Causes of streamflow change Not directly addressed in this study (see Engstrom and Schottler) Land-cover change Climate Direct hydrologic alteration

5. Future Streamflow trends GCM predictions Hotter and drier More variable But: E.T. vs P.E.T. Thresholds How long to reverse trend in south? Oscillations? SWAP (Soil Water Atmosphere Plant) H. Stefan SWAT model

6. Management implications Quantity / Quality Not just peaks important for TMDLs Geomorphology and sediment transport Ecology Suitability of in stream habitat Life cycle of organisms (timing, duration) Turtle nesting Cottonwood reproduction

Water quantity Changes to low flow/baseflow and intermittency Changes to median high flows

Changes to flow duration

Geomorphic impacts of recent trends in southern MN Increased bank erosion/channel widening Increased duration of saturation Increased mass wasting Decreased revegetation Increased nutrient loading rates

Volume impacts: channel widening

Water quality impacts Total maximum daily loads link Quantity and Quality More flow = more pollution transport of dissolved substances Nitrates Sediment and Phosphorous less clear Temperature and Oxygen related to flow level too

Stream temp impacts on fish (Westenbroek, WI USGS) Coldwater All 3 Decline Median -95.2% 1 Extirpated Coolwater All 16 Decline Median -79.7% 5 Extirpated Warmwater 4 Decline 4 No Change 23 Increase Median 34.0%

Ecological impacts Study of life cycles of riverine organisms: Assessing the Impacts of Hydrologic Alteration on Riverine Turtle Habitat DNR SGCN grant

Wildlife impacts turtle habitat Sandbars used for nesting Duration, timing and frequency of of exposure changes Sediment regime change? Reduced nesting time; delay

Management issues General GCM predictions: Increased flow variability Greater ET (or at least P.E.T.) Greater flood peaks Regional impacts Driftless Area Floods from tropical storm remnants (e.g 2007-2008) Cold water fisheries

Minnesota Basin Regional impacts: South and West MN Increased streamflow Sediment and nutrient loads Future thresholds towards decrease? Red River Basin Flooding Soil moisture

Northern Forest Regions North central forested lakes Changes in forest cover/interception Water quality of lakes North Shore streams High gradient streams, shallow bedrock, low base-flow Loss of forest-development pressure Sport fisheries and summer low flow

Discussion & next steps What specific knowledge involving hydrologic processes is needed to make more accurate predictions with models? Downscaling and regionalization What do we know now that can be acted upon?

END Questions?? Answers??