Monitoring and Assessment of Impact of
Nutrient Management Measures
Dr. Antanas Sigitas ŠILEIKAWater Management [email protected]
2004 09 14
The problem Status Report on Implementation
of the 1988 Ministerial Declaration reveled that non of the HELCOM Contracting Parties had achieved the overall N and P load reduction target of 50 % to the Baltic Sea
Nutrient load to the Baltic SeaNutrient load to the Baltic SeaN, tons P, tons
Country 1990 1995 1990 1995Denmark EstoniaFinlandGermanyLatviaLithuaniaPolandRussiaSweden
83,00059,00072,00014,00094,00019,000120,00081,000119,000
68,70046,50066,00021,40091,00036,800214,80084,600130,900
5,3002,8003,4001,2003,2001,70015,0009,5004,000
2,6001,3003,6000,6002,2001,40014,2007,1004,700
TOTAL 661,000 760,700 46,100 37,700
N load has increased
100,000 tons
Nutrient load to the Baltic Sea fromNutrient load to the Baltic Sea from the the r. r. Nemunas in LithuaniaNemunas in Lithuania
198619881990199219941996199820002002
3,7367,1445,2734,7277,9806,6545,7271,0781,664
14,97815,13114,72727,59632,75323,19339,66127,20537,383
5,8451,7802,9721,5611,7230,9791,1280,5921,076
Year NH4-N, t NO3-N, t PO4-P, t
Source: Monitoring annals of the Lithuanian Joint Research Centre. Calculation for the Nemunas basin from Smalininkai post
NO3-N load has
increased 2.5 times
Nitrogen load from agriculture in rivers of Finland, Germany, Denmark and Lithuania
Source: Sustainable Agriculture and Forestry (BERNET Report), 2000 Monitoring data of the Lithuanian Joint Research Centre
0
5
10
15
20
Ost
robo
thni
a(F
inla
nd)
Schl
esw
ig-
Hol
stei
n(G
erm
any)
Fyn
Cou
nty
(Den
mar
k)
Nem
unas
basi
n(L
ithua
nia)
Nitr
ogen
load
kgh
a-1 y
ear
N leaching from Nemunas basin 6 times less than from Denmark
Agricultural Production, N Fertilization in Lithuania, NO3-N Concentration in Agricultural
Rivers
0
20
40
60
80
100
120
14019
86
1988
1990
1992
1994
1996
1998
2000
2002
Ferti
lizat
ion,
pro
duct
ion,
%
0.0
0.5
1.0
1.5
2.0
2.5
3.0
Con
cent
ratio
n, m
g/l
Production % Fertilization
%
Concentrationmg/l
AVG NO3-N Concentration, mg/l 1996-2001
Kaliningrad distr.
Poland
B e l a r u
s
L a t v i a
Bal
t ic S
ea Minija
Šyša
Jūra
Min
i ja
Veiv
ir žas
Jūra
Šešuvis
Dubys
a
Šušvė
TatulaŠ iau lia i
P anevėžysK laipėda
K aunas
Vilnius
VentaR ekyvos ež. Lėvuo
Vyžuona
Duby
sa
MūšaMūša
Šventoji
Aisetas Žeimenys
Tauragnų
Siesartis
Minčia
Šventoji
Širvinta
Žeimena
Neris
Venta
Mūš
a
Nevėžis
Nev
ėžis
Kėdainia i
Šušv
ė
Nem
unas
MerkysNe
mun
asŠešupė
Skro
b lus
Merkys
Šešupė
Marijampolė
ŠilutėTauragė
Plungė
Pasvalys
Biržai
Anykščiai
1
Concentration 0,0-1,0 mgl -1
Concentration 0,1-2,0 m gl -1
Concentration 2,1-3,0 mgl -1
Concentration 3,1-4,0 m gl -1
Concentration >4,1 mgl -1
> 4.1 mgN/l
NO3- N changes in the agricultural and background
rivers
0200400600800
10001200
Nevezis
Zeimena
Period of agr. reform.
Duckweed in the r. Nevezis
Nutrient concentration in riversNutrient concentration in rivers Phosphorus concentration dropped
down below eutrophication level 0,05 mg/l;
Ammonium nitrogen concentration now is below permitted limit 0,39 mg/l;
Meantime concentration of nitrate nitrogen increased and still is higher than before 1990 in agricultural rivers.
N cycle in watershedRainfall
FodderEmission
Fertilizers
N fixation
Food
Leaching
Runoff
Monitoring and Assessment Method
1. Demonstration watersheds in the areas vulnerable to nitrate pollution and built on previous BAAP and other works;
2. Topography, soils characteristics and land use GIS data base in watersheds;
3. Advanced manure handling in animal farm and nutrients balance on fields and farms;
4. Monitoring of agricultural runoff, precipitation, water quality in dug wells.
Watershed Total area, km2
Arable,%
Pasture,%
Forest,%
Graisupis 14.1 48.1 24.1 27.8Vardas 7.5 32.2 44.8 23.0Lyzena 1.83 23.3 74.3 2.4Bariunai 0.24 Farm
Yard0.1 0
Characteristics of demonstration watersheds
L a t v I a
Š iau lia i
P anevėžysK la ipėda
K aunas
Vilnius
Lėvuo
Vyžuona
Nemunas basin
Lie lupė basin
Venta basin
Baltic sea basin
Vardas
Bariūnai
GraisupisLyžena
Location ofMonitoringWatersheds
Watersheds
#
150
148
152
142
146
136138
140
144
134
154
158160
144
132
14 0
130
164
170
128
172
146
152
132
142
150
158
162
146
154
150
132
162
144
142
154
134
134
154
150142
146142
136
154154
153
156
14614 4
N
M onitoringpost
L yženaLyžena
#
Valučiai
Dem. farm
N
M onitoringpost
Graisupis
Gra isupis
Gra
isup
is
N
#
+
M onitoring post
Dem. farm
Graisupis post
Vardas post
Lyzena post
Opening of the DF
Monitoring post
Monitoring methods
Thompson weirs are used for flow measurements in streams. Water level is registered automatically by limnigraphs;
The river water samples are taken manually every day. Joint weekly samples are analysed in spring and joint monthly sample at another time of the year;
The concentration of nutrients and average monthly values of the river water flow are used for calculation of nutrient losses;
Tipping buckets are used for drainage flow measurements.
NO3-N load from watershed, kg ha yr-1
1997 1998 1999 Total AVGr. Graisupis 11.6 17.6 6.9 36.1 12.0Ditch 13.4 19.2 14.9 46.8 15.6
Crop 16.1 22.8 11.5 50.8 16.8
Pasture 6.7 5.3 4.4 16.4 5.5Rainfall 4.9 1.9 5.23 12.4 4.0
Largest loadfrom crop
NO3-N concentration in r. Nevezis (upstream Kedainiai) and Graisupis
0
5
10
15
20
1995 1996 1997 1998 1999 2000 2001 2002 2003
Con
cent
ratio
n, m
gl-1
l
Nevezis Graisupis
Nutrient retention
0
5
10
15
20
25Lo
ad k
g ha
-1
1997 1998 1999 AVG
Loadfrom crop
Loadin stream
Loadin ditch
Loadin river
Assessment of watersheds monitoring
The highest N losses (15.3 kg N ha-1) determines more intensive agricultural activity in Graisupis (71.5 kg N ha-1 of fertilisers; 54% of arable land; 0.87 LU ha-1);
Close to the sea (Lyzena) are bigger water discharges in winter but due to low N content in soil (32.9 kg N ha-1 of fertilisers, 74% of grassland) the annual N losses are very small (5.7 kg N ha-1);
The highest P losses (0.318 kg P ha-1) determine Vardas hilly relief and clay soil;
Bigger specific water runoff (0.08 l s-1 ha-1) and light soils (sandy loam) determine comparatively high N losses (11.9 kg N ha-1) despite low farming activity (39.4 kg N ha-1 of fertilisers, 45% of grassland) in Vardas watershed.
N cycleon farm N losses
N losses
N and P input in soil of dem. farm
Input, kg ha-1
1995 1999 2001 1995 1999 2001
Fertilizers & seeds 41 85 124 30 10 9Fodder and animals
7 9 10 2 2 6
Deposition & fixation
4 17.6 13 0 0.5 0
Manure 7 10 14Total I 59 122 160 32 13 15
PN
1995 1999 2001 1995 1999 2001
Crop yield 80 123 74 13 24 16
NH3 evaporation 7 50
Leaching 38 30 23
Denitrification 38 30 16
Total II 163 237 113 13 24 16
Total I-Total II (x) -102 -111 +46 +20 -10 -4
Residues (y) 34 43 32 6 14 7
x–y =deficit/oversupply -136 -154 +14 +14 -24 -11
N and P output from soil, kg ha-1
Deficit Oversupply
7
59
3 8 16
2
V16.33 ha
IV8.16 ha
VI6.36 ha
II11.52 ha
I6.65 ha
Graisu
pis
G -1
G -1
M onitoringpost
Kėdainiai
Krakė
s
57
56.5
III12.5 ha
Field Trials
Perennialgrass
Spring cereal
Winter cereal
Row crops
N leaching dependence on crop
The least leaching is from perennial
pastures
The highest leaching is from row crops
Grassland management and NO3- N leaching to drainage, kg ha-1
02468
1012
1996 1997 1998 1999 2000 2001
CutPloughed
Before ploughing
After ploughing
Slurry in Lithuanian large farms
< 2000 m 3
2001-5000 m 3
5001-10000 m 3
10001-20000 m 3
> 20000 m 3
ŠilutėTauragė
Plungė
Klaipėda
Kretinga Telšiai
SkuodasAkmenė
Joniškis
Pakruojis
KelmėRadviliškis
Šiauliai
Šilalė
Jurbarkas
Šakiai
VilkaviškisMarijampolė
Kaunas
RaseiniaiKėdainiai
Panevėžys
Pasvalys
Biržai
Rokiškis
Zarasai
Kupiškis
Anykščiai UtenaIgnalina
Ukm ergė Molėtai Švenčionys
JonavaŠirvintos
Vilnius
Kaišiadorys
Trakai
Šalčininkai
Prienai
A lytus
VarėnaLazdijai
Mažeikiai
Kaunas
Viln ius
Klaipėda Panevėžys
Nemunas Nem unas
Minija
Šyša
Jūra
Min
ija
Veiv
irža s
J ūra
Šešuvis
Dubys
a
Šušvė
TatulaŠiauliai
VentaR ekyvo s ež . Lėvuo
Duby
sa
Mūša Mūša
Švento ji
Aisetas Žeimenys
Tauragnų
Siesartis
Šventoj i
Š irv inta
Žeimena
Neris
Ven ta
Mūš
a
Nevėžis
Nev
ėži s
Kėd ain iai
Šušv
ė
Nem
unas
Nem
unasŠešupė
Skr o
blus
M erkys
Šešup ė
Marijampolė
Šilutė
P lungė
Pasvalys
Biržai
Anykščiai
9
:
-
< 1.0
1.0 - 2,0
2,1 - 4,0
4,1 - 5,0
>5,0
Nėra duomenų
Nutrients in milk production
Milk27 kgN; 5 kgP; 7 kgK
Feed135 kgN;17 kgP; 105 kgK
Offspring and weight gain2 kgN ; 0,5 kgP; 0,1 kgK
M anure and slurry111 kgN; 12 kgP; 104 kgK
Litter5 kgN ; 0,5 kgP; 6,0 kgK
5000 kg
111 kgN, 12 kgP and 104 kgK
produce one cow per year
Lithuanian obligations to EU To establish manure storages on large
farms with more than 300 AU as well as on newly established farms having over 150 AU within a 4-year period after entering the EU
All the rest farms with more than 10 AU endangering the environment with nitrates will also have to reconstruct their barns later.
Barn watershed
70 0 70 140 Meters
N
#+480 000
6 23
6 40
0
46
45
45.5
47
46.5
44.5
46
44.5
45
45 45
45
45
46
45
46.5
44 .5
2
1
PastureContourlineDrainCollector
Barn
Road
gManure stora e
Basin
#+ Coordinate
Ground w ater piezom eter
Monitoring post
Monitoring post
Manure storage
Cow barn
Barn territory before manure storageconstruction
Layout of manure handling system
Cow barn
Cow barn
3
1 6
Manure pad2
4
1 - urine reservoir2 - silage pad3 - urine pum ping pit4 - pit for m ilking parlour effluents5 - free flow line for m ilking parlour effluents6 - urine gutter
5
Manure pad
Surry pit
Cow barn
Manure storage, slurry reservoir and rain water management
Filling of slurry spreader
Slurry spreading by trailing hoses
Total N concentration in drainage water from the territory of barns
0
5
10
15
20
2519
9920
00
2001
2002
2003
Con
cent
ratio
n, m
gN l-1
102 39Permitted limit
12mgN/l
Before construction
Filling
Full pit
Total P concentration in drainage water from the territory of barns
0
1000
2000
3000
4000
500019
9920
00
2001
2002
2003
Con
cent
ratio
n m
icro
g l-
1 7600 8100 5800
Permitted limit 1500 micro gP/l
Filling
Full pitBefore
construction
Manure storage capacity and financing need for farms > 10 AU
Number of farms – Ctl 1450 and Pig 49 Manure pads need – Ctl 446.5 thou m2 Slurry reservoirs need – Ctl 472.7 thou
m3 and Pig 39.8 thou m3
Manure pads construction cost– Ctl 22.5 M EUR
Slurry reservoirs cost – Ctl 50.8 M EUR and Pig 4.6 M EUR
Total cost – 78.0 M EUR
NO3-N concentration in 5775 dug wells
10.0
5.0
0
M ai 124 m gN /l
M ed iana 8.7 M gN/l
>10 mgN/l
Max 124 mgN/l
Median 8.7 MgN/l
Water improvement in dug well
0
5
10
15
20
25
3019
96
1997
1998
1999
2000
2001
2002
2003
NO
3-N
con
cent
ratio
n, m
g/l Well water
Permittedlimit
Permitted limit