United States
Environmental Protection
Agency
Robert S. Kerr Environmental Research
Laboratory
Ada OK 74820
Research and Development
EPA-600/S2-83-011  Apr. 1983
Project  Summary
Effects  of  Livestock  Pasturing  on
Nonpoint  Surface  Runoff
Richard K. White, Robert W. VanKeuren, Lloyd B. Owens, William M. Edwards,
and Robert H. Miller
  This study was conducted to evaluate
the effects of livestock pasturing in
humid regions of the United States on
the quality of nonpoint surface runoff.
Specific objectives were to establish
the contribution  of  pollutants from
nonpoint source pasturing regimes, to
establish what happens to hydrologic
and water quality parameters related to
nonpoint surface runoff from pastures
and to identify pasture management
practices that affect nonpoint source
pollution.
  Three pasturing  regimes  were
monitored and evaluated: summer
rotational grazing and winter feeding of
hay on one pasture; summer rotational
grazing with no livestock on pastures in
the winter,   and  winter  rotational
grazing of autumn regrowth with feed-
ing of field-stored hay.
  Winter pasturing and feeding of hay
caused a marked increase in the number
of runoff events  and the volume of
runoff  as  compared  to previous
meadow practices, and to summer
pasturing only. Dormant season (OS)
(Nov-Apr) nutrient fluxes were greater
than those in the growing season (GS)
(May-Oct). Analysis of the soluble and
sediment fraction of the runoff samples
indicated  that the  nutrients  were
principally in the soluble phase.
  Analysis  of  discrete  sample  data
collected throughout a runoff  event
indicated that nutrient  transport was
essentially  matched with runoff, i.e. a
linear relation can be assumed between
runoff volume and nutrient delivery. In
general, soluble nutrient concentra-
tions  are a function of  hydrologic
variables,  e.g. precipitation, rainfall
intensity, and antecedent soil moisture;
whereas, sediment  related nutrient
concentrations  were  affected  by
pasture management practices.
  Microbiological  analyses for  total
coliform (TC), fecal coliform (FC), and
fecal  streptococci  (FS)  were
conducted. The  number of bacteria
exceeded  water quality criteria for
nonpoint source  runoff, even from a
non-pastured control watershed.
  This Project Summary was developed
by EPA's Robert S. Kerr Environmental
Research  Laboratory.  Ada.  OK,  to
announce key findings of the research
project that is fully documented in a
separate report of the same title (See
Project Report ordering information at
back).

Introduction
  Livestock production systems utilizing
pasturelandtare one segment of agricul-
ture production for which the  extent of
nonpoint source pollution has not yet
been clearly defined, and for which best
management practices (BMPs) have not
yet been designed. Beef cow and call
production  is increasing in East Central
United  States from Pennsylvania,  West
Virginia, and Virginia across Ohio and
Kentucky  to  Iowa  and  Missouri.
Currently, this area has about ten million
head of beef cattle, many of which are
raised on small farming operations. In
Ohio, for example, about two-thirds of the
1.4 million cattle raised are on farms with
20-99 head. Most cattle in this region are
pastured during the summer. In winter,
they may be fed in a barn or on an open
lot, fed hay out on pasture, or kept on
winter pasture of autumn-saved
regrowth and field-stored hay.  The land
used for  such  cattle  production  is
primarily hilly and susceptible to erosion
if cultivated or if the vegetative cover is

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lost and the soil exposed. This land, in
permanent pasture, constitutes a large,
important  part of the region.
  This project was  conducted coopera-
tively by the Ohio Agricultural Research
and Development Center, Wooster, Ohio,
and  the  United States  Department  of
Agriculture,  Science   and  Education
Administrative-Agricultural Research
Service, Coshocton, Ohio. The pastures
studied were  located  on the  North
Appalachian  Experimental Watershed
(NAEW),  Coshocton,  Ohio.  Long-term
hydrologic records from the experimental
watersheds at  NAEW provided back-
ground data  for this  study. The three
pasture regimes monitored  were  as
follows:

  1.   Summer  rotational  grazing was
      studied using 25  Charolais beef
      cows  with calves  on  17.2  ha
      divided into four pastures seeded
      to  orchard  grass.  Hay (square
      bales) was brought to one of the
      pastures  and fed  to the herd  in
      the  winter.  Within  this winter
      pasture  (3.1  ha)  was  a  gaged
      watershed (WS  129) of 1.1 ha. A
      moderate  level  of  fertility was
      provided with a  spring application
      of  56  kg nitrogen per hectare
      (N/ha)  and  maintenance   of
      available   phosphorus  (P)  and
      potassium (K) levels at 28 and 168
      kg/ha, respectively. Soil pH was
      maintained at 6.0  to 6.5. Calves
      were weaned and  removed from
      the  study area in October.

  2.   Summer  rotational grazing   (no
      winter feeding) was studied using
      40 Charolais beef cows with calves
      on 13.8 ha divided into four pas-
      tures of orchard grass. Within one
      of the pastures (3.8 ha) was a
      gaged watershed (WS 110) of 0.86
      ha.  A high level of fertility was
      provided with an annual applica-
      tion of 224 kg N/ha (in three appli-
      cations)  and  maintenance   of
      available  P and K levels at 56 and
      336  kg/ha, respectively. Soil  pH
      was maintained at 6.5 to 7.0.

  3.  Winter rotational   grazing  of  fall
      regrowth  and  feeding  of  field-
      stored hay  (round  bales)  was
      studied using 40  Charolais cows
      (those from the  second regime) on
      10.1 ha divided  into four pastures.
      The pastures were seeded to tall
      fescue.   Within  one  of  these
      pastures  was a gaged watershed
      (WS  106)  of 0.63 ha. The same
      high  level of fertility as in the
      second  pasturing   regime   was
      provided here.

  A  forested non-pastured  watershed
(WS  172) of 17.6 ha was monitored as a
control.
  Surface runoff from the watersheds
was  measured by precalibrated H-flumes.
Precipitation was measured on each  of
the  watersheds  by  corresponding
recording rain gages. Topsoil  moisture
was   measured  biweekly.  Intervening
soil  moistures were calculated using a
method based upon precipitation meas-
urements and depletion curves developed
from field data on soil moisture.
  Proportional  runoff  samples  were
collected by using  an offset Coshocton
wheel sampler located at the outfall of the
flume. The collected runoff was delivered
to a temperature-controlled (4°C) storage
shed. The flow was collected in a series of
14 buckets (approximately 5L each) and a
final collecting drum for collecting runoff
from an exceptionally large event. Event
markers on the  water stage recorders
noted  when the sampling device
advanced to the  next container.
  Using   vacuum  filtration  or
centrifugation, samples were separated
into  a  liquid fraction  (for analysis  of
soluble plant nutrients) and a  sediment
fraction (for analysis   of  attached
nutrients). The sediment fraction was air-
dried and stored for subsequent analysis.
The  liquid fraction was stored at4°C until
analyzed. The N,  P, and K concentrations
were determined for the soluble fraction
and the sediment. Also, the runoff sample
was  analyzed   for  TOC,  COD,  and
periodically, for BODs.

Conclusions
  Evaluation of  three pasture regimes
indicated that winter pasturing increased
the surface runoff. Where winter feeding
of cattle on one watershed  (WS  129)
occurred,   the  runoff  volume  was
threefold  that of  a predicted volume
based on 23 years of previous hydrologic
record. Winter  rotational grazing and
feeding of  field-stored hay (WS  106)
increased the runoff by 75 percent more
than  predicted.  Summer   rotational
grazing only (WS  110)  increased the
observed runoff by 17 percent more than
predicted. The increased runoff volumes
were  primarily  associated  with  the
dormant season,  winter  feeding, and
pasturing.
  Average DS, November through April,
nutrient fluxes were greater than those in
the GS,  May  through October,  for all
three pasturing regimes. The flux of total
potassium (Tot K), 143 kg/ha, during the
study  period  was  larger than total
nitrogen (Tot N) or phosphorus (Tot P), 73
and 14 kg/ha, respectively. The  flux of
sediment  nitrogen (Sed N) was  larger
than sediment potassium (Sed  K)  or
sediment phosphorus (Sed P) by a factor
of three to six. The sediment-to-soluble-
f lux ratio was largest for P and least for K,
so that P transport is associated more
with sediment than are  N  or  K.  A
comparison of nutrient fluxes from the
control  watershed  with  the pasture
watersheds showed  that N and K were
two to ten times larger, and that P flux
was larger by three to ten  orders  of
magnitude for  pasture watersheds.
  Periodic  samplers  were utilized  to
partition  runoff samples during  storms
and the discrete samples were analyzed
separately. Normalized flux scatter plots
indicated that  N and K tended toward
early delivery  (ED) as related to runoff
volume. Phosphorus  tended toward late
delivery (LD). Analysis of the nutrient flux
plots,  using   90  percent confidence
intervals, indicated that nutrient delivery
was essentially matched with runoff, i.e.
a linear relation can be assumed between
runoff volume  and nutrient delivery.
  Linear regression was used to identify
variables that contribute to nutrient flux
in runoff. In general,  soluble nutrient
concentrations  are  a  function   of
hydrologic  variables  such  as
precipitation,   rainfall   intensity,  and
antecedent  soil   moisture;  whereas,
sediment-related   nutrient  concentra-
tions  were  affected  by   pasture
management,  specifically  cattle
occupancy and time of occupancy.
  The pasture  management regimes are
related to water quality in surface runoff
in the  following  order with  the first
practice  causing  the  least flux  of
nutrients:  (1)  summer rotational
pasturing  only,  (2)  winter  rotational
pasturing on autumn regrowth and field-
stored hay, and (3)  summer rotational
pasturing and winter feeding with hay
brought to the cattle on  one watershed.
  Microbiological analyses for  TC,  FC,
and FS confirmed previous studies that
showed  water  quality  criteria  were
exceeded for  coliform  in runoff from
pastures. Ratio of  FC to FS for pastured
watersheds and a non-pastured, forested
control varied to the extent that  the
source of fecal material, either cattle or
wildlife,  was  not  evident.  Analyses
showed little difference in  the number of
 bacteria in runoff water collected early in

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 a storm event from water collected near
 the  end of a  storm  event. Therefore,
 bacteriological water quality criteria may
 be   inappropriate  for  characterizing
 pasture runoff.

 Recommendations
  This report established the contribution
 of nutrients and pollutants from nonpoint
 source pasturing regimes in the cool,
 humid region of  East Central United
 States. Three years of detailed hydrologic
 data,  water  quality data,  and livestock-
 pasture  management  data  were
 collected.  The  nutrient transport  was
 principally in the soluble form versus the
 sediment  form   and   more  transport
 occurred during the DS than during the
 GS. A marked increase due to livestock
 pasturing,  in the volume  of  runoff
 occurred during  the  DS. The  results
 support the following recommendations:

  1.  Watershed modeling efforts
      should include the impact of live-
      stock pasturing on the hydrology,
      nutrient   flux,   and  pollutant
      transport.

  2.  Composite, proportional  samples
      of  runoff  should   be used to
      measure  nutrient  flux   from
      meadow and pastured watersheds.

  3.  Alternative winter livestock man-
      agement practices should be evalu-
      ated to identify  BMPs for  wintei
      pasturing.

  4.  Bacteriological water quality crite-
      ria should not be used as a principal
      parameter to identify  sources of
      nonpoint pollution.

 Results and Discussion
  The average precipitation for the GS
 during this study was 25 percent greater
than the long-term mean. In particular,
the GS in 1978 and 1979 were much
wetter than normal. The average precipi-
tation for the DS was only 4 percent less
than the long-term mean.

 Effects on Hydrology
  Using  a  linear regression stepwise
 analysis procedure, a predictive equation
 for runoff volume based on precipitation,
 a precipitation intensity factor, and soil
 moisture  was  developed using prior
 meadow year data. A predicted runoff (Qp)
 was calculated using this equation and
 data from the three-year  pasture study.
 Table 1 gives a comparison of Qp and the
Season*
WS 106
1977
1 977-78 DS
1978 GS
1978-79 DS
1979 GS
Study period
WS 110
1977 GS
1977-78 DS
1978 GS
1978-79 DS
1979 GS
Study period
WS 129
1977 GS
1977-78 DS
1978 GS
1978-79 DS
1979 GS
Study period
Op
(mm)

14.6
15.5
16.1
22.5
14.9
83.6

30.6
14.9
36.0
24.4
48.8
154.7

33.0
7.2
33.8
8.5
37.7
120.2
Oo
(mm)

6.3
13.9
10.5
63.1
53.8
147.6

14.8
28.3
20.9
24.4
96.0
184.4

57.0
79.1
99.3
49.4
114.4
399.2
No. of
Events

13
21
29
20
16


14
12
17
12
11


38
30
40
27
19

 *GS is May-Oct.  DS is Nov-Apr.

observed runoff (do) during the pasture
study. A comparison of Qp with Qo on WS
110 (summer  rotational grazing  only)
does not indicate  a marked change  in
hydrology, observed flow being only 1.2
times greater than predicted.  WS 106
(winter  rotational  grazing  on  autumn
regrowth and feeding field stored hay)
had an observed  flow  1.8 times that
predicted. WS  129 (summer  rotational
grazing and winter feeding of hay) had an
observed flow three times larger than
predicted. It was during  the DS that the
marked increase in flow occurred on WS
129 and to a lesser degree on WS 106.
Therefore, winter pasturing of livestock
has a marked effect on increasing the
runoff. A similar conclusion was obtained
by using  an analysis of optimized  curve
numbers.

Nutrient  Concentrations and
Flux
  The  mean  concentration   of  the
nutrients N, P, and K in  the runoff from
the pastures and the control watersheds
is  given  in  Table  2. A  comparison of
concentrations  for the GS indicates a
higher concentration on those pastures
with a higher fertilization rate, WS 106
and  WS  110.  During the  DS, those
pastures with  livestock  had a  higher
concentration of nutrients in the runoff.
  Runoff samples were partitioned into
soluble  and sediment fractions for the
analysis of N, P, and K. Figure 1 shows the
nutrient fluxes for the three pastures and
the control. Certain trends are evident
from this flux data:

  1.   Soluble nutrient  flux was largest
      for K and  least for P.

  2.   Sediment nutrient flux was largest
      for N and least for K as shown by
      shading on the bars.

  3.   The total nutrient flux (both soluble
      and  sediment) was largest for
      year-round cattle occupancy (WS-
      129)  and   least  for  summer
      rotational grazing (WS 110) except
      for the very wet 1979 GS.

  4.   Where winter occupancy of cattle
      was  involved (WS  129  and WS

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Table 2.   Summary of Mean (if) Concentration of Nutrients in Runoff from the Pasture and
          Control Watersheds
Season and Watershed
 Tot N, mg/l   Tot P. mg/l
              K. mg/l
Growing Seasons
WS 106
WS 110
WS 129
WS 172
    •6.3
    10.7
    6.4
    2.3
1.13
1.24
1.87
0.05
20.7
20.7
 9.9
 2.1
Dormant Seasons
WS 106
WS110
WS 129
WS 172
Water Year
WS 106
WS 110
WS 129
WS 172

13.2
5.4
21.5
1.5

9.8
8.2
12.9
1.9

0.69
0.49
2.02
0.02

0.91
0.88
1.93
0.03

15.2
7.6
45.2
1.6

17.9
14.5
25.1
1.8
      106), the trend was toward greater
      nutrient fluxes during the OS.

  A  sediment-nutrient-flux to soluble-
nutrient-flux  ratio was calculated  for
each  runoff  event.  The  sediment-to-
soluble-f lux ratio values f or WS 129 were
significantly larger than for WS 106 or
WS110.

Relation Between Nutrient Flux
and Runoff
  Runoff   was  sampled  periodically
throughout each storm event. Normalized
plots of  percent cumulative nutrient flux
versus percent cumulative runoff volume
were constructed for runoff events that
had  five or more discrete subsamples.
Figure 2 shows a scatter plot for percent
cumulative nitrogen flux  in  all runoff
events from WS 129. The nitrogen flux
slightly  preceded  the  runoff in  the"
majority of the samples. By  use of 90
percent confidence intervals of the flux,
the time of delivery of the nutrients in the
runoff volume  was evaluated. Table  3
summarizes  the nutrient flux delivery
data. Event data were grouped in  ten
different  ways  to determine if  ED,
matched delivery (MD), or LD of nutrients
with runoff occurred. In most of the data
groupings,  MO  was   observed.  The
confidence intervals that  excluded  MD
did so by only a small amount (3 percent
or less  of the  total flux for  an event).
Therefore, even when ED is found, it did
not differ greatly from MD and a  linear
relation between nutrient flux and runoff
volume  could  be assumed for  the
conditions in this study.
Variables Affecting Nutrient
Transport
  Regression  analysis  was  used  to
identify statistically significant hydrologic
and  pasture  management  variables.
Analyses were conducted for  both the
soluble and  sediment  N,  P,  and  K.
Independent variables regressed against
the nutrient concentration means were:
runoff  volume, amount of precipitation,
precipitation  intensity  factor,  soil
moisture,   sediment  flux,  time  after
fertilizer application, percent vegetation,
cattle on or off pasture,  and time factor
with cattle on or off pasture. Soluble N, P,
and  K  showed no consistent pattern of
the  independent variables correlated
with the dependent variable for WS 106,
110, or 129. For the sediment nutrients, a
time factor of cattle on and off the pasture
correlated with the nutrient means for all
three watersheds.
  A  second procedure used to identify
significant  independent  variables  was
stepwise regression with significance set
at the  10 percent  level. The soluble
nutrient concentration  means  were  a
function of the hydrological variables of
precipitation  amount,  precipitation
intensity, and  antecedent soil moisture.
The  sediment nutrient  concentrations
means  were  a  function   of  cattle
occupancy  variables.

Microbiology  of Pasture Runoff
  Runoff water samples were collected
periodically from  the pasture watershed
and  a control, forested watershed. When
possible, water samples were collected at
both the beginning and  the end of the
runoff events. Each water sample was
analyzed for numbers of TC, FC, and FS.
The  numbers  of all  three  indicator
bacteria did not provide a clear relation-
ship to animal occupancy. The numbers
of indicator bacteria in runoff from  WS
129 were consistently higher than those
of the other three watersheds.
  An evaluation of the FC/FS for  the
watershed  indicated wildlife sources of
fecal pollution for WS 172 and WS 106.
WS 172 and WS 106 had mean FC/FS
ratios of 0.07 and 0.01, respectively.  WS
129  and  WS 110  had the greatest
number of  days of cattle occupancy  and
had mean FC/FS ratios of 0.18 and 0.22,
respectively.  FC/FS ratios greater than
0.1 are reported characteristics of cattle
pastures.
  These data  which  are  in  close
agreement   with  similar  studies
elsewhere, support the  conclusion that
recommended water quality criteria may
be  inappropriate  for   characterizing
pasture runoff and other nonpoint sources
of potential water pollution.
                                    4

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  !
  .1
        •f
WS172
'no data
     nfl,-,
                           *  *
12


 a


 4

 0

16


12

 a


 4

 0

32


28

24


20


16


12


 8

 4


 0
            WS 110
                 i—ii~rr~ir—i
                           nnfln
                                                            n
            WSW6
            WS129
a = Growing Season 1977
b = Dormant Season 1977-78
c = Growing Season 1978
d = Dormant Season 1978-79
e - Growing Season 1979
f = Dormant Season 1979-80
                                      Soluble phase

                                      Sediment phase
                  a  b c  d e  f
                     Nitrogen
       abode  f
        Phosphorus
                                                   b c  d e  f
                                                   Potassium
Figure 1.   Total nutrient flux for watersheds for May 1977 - March 1980.

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   100
   90
   80
I
 c
   70
   60
 2 50
   40
I
   30
   20
   10
            10     20     30     40     50     60     70
                               % Cumulative Runoff Volume
80
90
                   Table 3.    Apparent Trends in the
                              Nutrient Flux Delivery as
                              Related to Time of Delivery*
                                                                                  Nutrient
                                Watershed
                                                                                                             Delivery
TotN


P


K


106
110
129
106
110
129
106
110
129
Mainly MD
Mainly MD
Mainly MD
MD
MD
MD
MD
Mainly ED
Mainly MD
                                                                                  * Based on a 90 percent confidence interval for
                                                                                   MD. MD = matched delivery of nutrients
                                                                                   with runoff.
100
Figure 2.    Total nitrogen flux scatter plot for all discrete samples in all selected runoff events
            from WS 129 during study period.
   Richard K. White, Robert W. VanKeuren, and Robert H. Miller are with the Ohio
     Agricultural and Development Center.  Wooster,  OH 44691 and Ohio State
     University, Columbus, OH 43210; Lloyd B. Owens and William M. Edwards are
     with the USDA-SEA-ARS,  North Appalachian  Experimental Watershed,
     Coshocton, OH 43812.
   R. Douglas Kreis is the EPA Project Officer (see below).
   The complete report, entitled "Effects of Livestock Pasturing on Nonpoint Surface
     Runoff," (Order No. PB 83-165 456; Cost: $11.50, subject to change) will be
     available only from:
           National Technical Information Service
           5285 Port Royal Road
           Springfield, VA 22161
           Telephone: 703-487-4650
   The EPA Project  Officer can be contacted at:
           Robert S. Kerr Environmental Research Laboratory
           U.S. Environmental Protection Agency
           P.O. Box 1198
           Ada, OK 74820
                                                                              U. S. GOVERNMENT PRINTING OFFICE: 1982/659-095/1926

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Information
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