This document discusses research on runoff occurring at field edges in Wisconsin from 2003-2008. The key findings are:
1) Runoff was nearly equally distributed between frozen and non-frozen periods, though any single year runoff could be up to 100% from frozen ground.
2) Most runoff and nutrient losses occurred during the winter and early spring months, especially February and March.
3) Soil moisture levels were found to influence runoff amounts, with the highest runoff occurring when soils were wettest.
4) Management practices that consider critical runoff periods and field conditions like soil moisture and temperature could help reduce nutrient losses from field edges. Precise timing of activities like manure
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Non Frozen
1. When does runoff occur and
what can be done to reduce
impacts on water quality?
Dennis Frame
UW-Discovery Farms/Extension
2. Edges of Fields - Where are we at?
25 Water-Quality
Monitoring Stations
evaluated (6-640 acres)
5 Discovery Farms
representing a variety of
landscapes and farming
systems
Pioneer Farm
5 Meteorological Stations
Precipitation, soil temp,
and soil moisture data used
to understand conditions
causing runoff
Source: Precipitation-Runoff Relations and Water-Quality
Characteristics at Edge-of-Field Stations, Discovery Farms
and Pioneer Farm, Wisconsin, 20038, publication pending
3. Edge-of-Field
Edges-of-field indicate how field-
management decisions can
impact water quality losses
Monitored a variety of site types
Flow (runoff)
Sediment loads and yields
Nutrient loads and yields
81 station-years of data (26
farm years) collected at 25
monitoring stations located on
Discovery Farms and the Pioneer
Farm from 2003-2008
Use data to determine runoff
losses of sediment and nutrients
and determine the when? and
why? to help guide management
to reduce problems if they exist
4. Precipitation and Runoff
Amounts
50.0
45.0
Snowfall liquid equivalent
Rainfall
Precipitation averaged for the
40.0
entire data set was near
Precipitation, in inches
35.0
30.0 average
25.0
20.0
15.0
Runoff averaged 2.5 inches
10.0 per year
5.0
0.0
About 8% of precipitation was
SW1, 2005
SW1, 2006
SW1, 2007
SW2, 2004
SW2, 2005
SW2, 2006
SW2, 2007
SW2, 2008
SE1, 2006
SE1, 2007
SE1, 2008
NE1, 2004
NE1, 2005
NE1, 2006
NE1, 2007
NE1, 2008
NE2, 2005
NE2, 2006
NE2, 2007
NE2, 2008
Pioneer, 2003
Pioneer, 2004
Pioneer, 2005
Pioneer, 2006
Pioneer, 2007
Pioneer, 2008
measured as runoff
7.0
Annual precipitation was not a
Non-frozen ground
6.0
Frozen ground
good indicator of annual runoff.
5.0
Runoff, in inches
4.0
Trend towards higher runoff on
3.0
tighter soils in the northeast
2.0
1.0
0.0
SW1, 2005
SW1, 2006
SW1, 2007
SW2, 2004
SW2, 2005
SW2, 2006
SW2, 2007
SW2, 2008
SE1, 2006
SE1, 2007
SE1, 2008
NE1, 2004
NE1, 2005
NE1, 2006
NE1, 2007
NE1, 2008
NE2, 2005
NE2, 2006
NE2, 2007
NE2, 2008
Pioneer, 2003
Pioneer, 2004
Pioneer, 2005
Pioneer, 2006
Pioneer, 2007
Pioneer, 2008
Source: Precipitation-Runoff Relations and Water-Quality
Characteristics at Edge-of-Field Stations, Discovery Farms
and Pioneer Farm, Wisconsin, 20038, publication pending
5. Distribution of Runoff
On average, runoff volumes
were nearly equally
Distribution of Annual Runoff distributed between frozen
Edge-of-Field Stations and non-frozen periods.
In any one year, frozen
Non- ground contributed up to
frozen Frozen 100% of annual runoff.
ground ground
Because of this distribution,
46% 54% it is important to focus on
causes/timing of runoff
during both periods
Source: Precipitation-Runoff Relations and Water-Quality
Characteristics at Edge-of-Field Stations, Discovery Farms
and Pioneer Farm, Wisconsin, 20038, publication pending
6. Timing of Runoff Critical Runoff
Periods
Mean-Monthly
Mean-Monthly Runoff
Mean- Runoff as a Percentage of
Monthly as a Percentage of Runoff Total Total
Runoff Annual Runoff Frequency Precip Precip
October 0.07 3% 23% 2.32 3%
November 0.02 <1% 15% 2.22 1%
December 0.04 1% 35% 1.73 2%
January 0.10 4% 50% 1.68 6%
February 0.41 16% 58% 1.48 28%
March 0.87 34% 100% 2.22 39%
April 0.11 4% 54% 3.42 3%
May 0.32 12% 38% 3.70 9%
June 0.48 19% 42% 3.83 13%
July 0.07 3% 42% 3.90 2%
August 0.07 3% 19% 3.55 2%
September <0.01 <1% 19% 2.76 <1%
Source: Precipitation-Runoff Relations and Water-Quality
Characteristics at Edge-of-Field Stations, Discovery Farms
and Pioneer Farm, Wisconsin, 20038, publication pending
7. Suspended sediment losses
(yields)
5,000
Suspended sediment yield, in pounds per acre
4,500 Non-frozen ground
Frozen ground
4,000
Mean
3,500
3,000
2,500
2,000
1,500
1,000
500
0
SW1, 2005
SW1, 2006
SW1, 2007
SW2, 2004
SW2, 2005
SW2, 2006
SW2, 2007
SW2, 2008
SE1, 2006
SE1, 2007
SE1, 2008
NE1, 2004
NE1, 2005
NE1, 2006
NE1, 2007
NE1, 2008
NE2, 2005
NE2, 2006
NE2, 2007
NE2, 2008
Pioneer, 2003
Pioneer, 2004
Pioneer, 2005
Pioneer, 2006
Pioneer, 2007
Pioneer, 2008
Average across all farm years of data was 670 lb/acre
Nearly all sediment loss occurred during non-frozen ground periods
The same farm typically had both low and high sediment losses during the
monitored period Source: Precipitation-Runoff Relations and Water-Quality
Characteristics at Edge-of-Field Stations, Discovery Farms
and Pioneer Farm, Wisconsin, 20038, publication pending
8. Nutrient Losses
Total Nitrogen
Total Phosphorus
Nitrate, frozen-
Particulate ground, 0.79,
phosphorus, Organic 11%
frozen ground,
nitrogen, non-
0.22, 11%
Particulate frozen ground, Ammonium,
phosphorus,
2.22, 32% frozen ground,
non-frozen
ground, 0.74, 1.31, 18%
38%
Ammonium, non-
Dissolved- frozen ground,
reactive
0.16, 2%
phosphorus, Organic
frozen ground, Nitrate, non- nitrogen, frozen
Dissolved- 0.60, 30%
frozen ground, ground, 1.69,
reactive
phosphorus, 1.01, 14% 23%
non-frozen
ground, 0.42,
21% Most N lost during the frozen-ground period
Average loss was 7 lb/acre/year
Most P lost during the non-frozen
ground period Most N losses were from Organic N
Average loss was 2 lb/acre/year Note ammonium losses from frozen ground
About 遜 of P loss was dissolved
Source: Precipitation-Runoff Relations and Water-Quality
Characteristics at Edge-of-Field Stations, Discovery Farms
and Pioneer Farm, Wisconsin, 20038, publication pending
9. Lessons Learned
In addition to the conservation practices and
nutrient management plans that were already in
place, consideration of
critical runoff periods,
field conditions (soil moisture, frozen soil),
and the timing of field-management activities (manure
applications) in relation to these periods and
conditions
could have significantly reduced runoff of
nutrients from edges of fields.
In other words: Day-to-day decisions can be very
important!
10. Decisions Matter!
2 Adjacent Fields.
Liquid dairy manure applied to 1 field (above)
No manure applied to the other field (below)
11. When and Why?
Management tools that focus on
when and why and help guide
decisions and planning can
potentially decrease field-edge
losses
The timing describes periods of
time that runoff is most likely to
happen
The why can describe the
conditions that need to be met in
order for runoff to develop
Predicting that runoff will occur is
more difficult than predicting if it is
going to rain!
12. What is the distribution of runoff for various soil
conditions?
Example: No-till farm in SW Wisconsin (2003-2008)
Frozen ground: 80%, Non-Frozen Ground: ~
20%
Of the Frozen ground runoff, about 他 has
occurred in Feb. and Mar.
Of the Non-Frozen ground runoff:
83% occurred when soils were Wet (>35%)
10% occurred when soils were Medium (25-35%
7% occurred when soils were Dry (<25%)
13. Field Conditions
Example: No-till farm in SW Wisconsin (2003-2008)
Frozen Days
5% "Low" Moisture Days
"Medium" Moisture Days
"High" Moisture Days
32% 34%
29%
14. Frozen-Ground
Example: No-till farm in SW Wisconsin (2003-2008)
~40% of all Frozen-Ground runoff was the result
of rain or rain on snow.
~60% of all Frozen-Ground runoff was snowmelt
only, either from warm air temperatures, solar
radiation, or a combination of both.
Looking at precipitation forecasts in the winter
and making application determinations is only
part of the challenge.
15. When do these soil conditions occur?
Example: No-till farm in SW Wisconsin (2003-2008)
Frozen Ground: Average dates of persistent frost at any
depth: Nov 29 to Apr. 1
Non-Frozen Ground:
High (>35% Soil Moisture):
47% in Spring (Apr., May, 1st 遜 June)
52% in Summer (2nd 遜 June, July, Aug.)
occasionally in Fall (Sep., Oct., Nov.)
Medium (25-35% Soil Moisture):
40% in Spring (Apr., May, 1st 遜 June)
24% in Summer (2nd 遜 June, July, Aug.)
36% in Fall (Sep., Oct., Nov.)
Low (<25% Soil Moisture):
21% in Spring (Apr., May, 1st 遜 June)
46% in Summer (2nd 遜 June, July, Aug.)
34% in Fall (Sep., Oct., Nov.)
16. How much rain does it take to produce
runoff for a given soil condition?
Example: No-till farm in SW Wisconsin (2003-2008)
2.50
Median Rainfall
2.00
Rainfall, inches
1.50
1.00
0.50
0.00
<25% (low) 25-35% (med) > 35% (high) Frozen
Soil Condition
Note that these are the actual measured rainfall amounts that caused runoff for
each soil condition category. They do not necessarily represent the threshold rainfall
amounts that caused runoff.
17. How much rain does it take to produce
runoff for a given soil condition?
Example: No-till farm in SW Wisconsin (2003-2008)
2.50
<25% (low )
2.00 25-35% (med)
> 35% (high)
Rainfall, inches
Frozen
1.50
1.00
0.50
0.00
<25% (low) 25-35% (med) > 35% (high) Frozen
Soil Condition
Focus on the minimum rainfall amounts needed to produce runoff
18. How different were the minimum rainfall
amounts among the farms?
Minimum Rainfall Causing Runoff for 4 Different Farming Systems
1.40
<25% (low soil moisture)
25-35% (med. soil moisture)
1.20 > 35% (high soil moisture)
Frozen soil
1.00
Rainfall, inches
0.80
0.60
0.40
0.20
0.00
SW WI No-Till ('04-'08) SW WI Till ('04-'08) NE WI Pasture and Till ('05-'08) NE WI Till ('04-'08)
As one would expect some differences are present between the farms. However,
from a critical-period planning standpoint, they are rather similar!
19. The next steps?
Online advisory index screening tool On the ground data and decision-
based on NWS predictions PLUS making criteria
Soil Temperature
and Soil Moisture
Data
+ Criteria for risk of
runoff based upon
rainfall/runoff
relations
= Decision making
tool!
Source: http://www.manureadvisorysystem.wi.gov/