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Monitoring and Assessment 
of Impact of 
Nutrient Management 
Measures 
Dr. Antanas Sigitas ŠILEIKA 
Water Management Institute 
Sigitas@water.omnitel.net 
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 Sea 
N, tons P, tons 
Country 1990 1995 1990 1995 
Denmark 
Estonia 
Finland 
Germany 
Latvia 
Lithuania 
Poland 
Russia 
Sweden 
83,000 
59,000 
72,000 
14,000 
94,000 
19,000 
120,000 
81,000 
119,000 
68,700 
46,500 
66,000 
21,400 
91,000 
36,800 
214,800 
84,600 
130,900 
5,300 
2,800 
3,400 
1,200 
3,200 
1,700 
15,000 
9,500 
4,000 
2,600 
1,300 
3,600 
0,600 
2,200 
1,400 
14,200 
7,100 
4,700 
N load has 
increased 
100,000 tons 
TOTAL 661,000 760,700 46,100 37,700
Nutrient load to the Baltic Sea from the 
r. Nemunas in Lithuania 
NO3-N load 
Year NH4-N, t NO3-N, t PO4-P, t 
1986 
1988 
1990 
1992 
1994 
1996 
1998 
2000 
2002 
has 
3,736 
7,144 
5,273 
4,727 
7,980 
6,654 
5,727 
1,078 
1,664 
14,978 
15,131 
14,727 
27,596 
32,753 
23,193 
39,661 
27,205 
37,383 
5,845 
1,780 
2,972 
1,561 
1,723 
0,979 
1,128 
0,592 
1,076 
increased 
2.5 times 
Source: Monitoring annals of the Lithuanian Joint Research Centre. Calculation for the Nemunas basin from Smalininkai post
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 
20 
15 
10 
5 
0 
Ostrobothnia 
(Finland) 
Schleswig- 
Holstein 
(Germany) 
Fyn County 
(Denmark) 
Nemunas 
basin 
(Lithuania) 
Ni trogen load kgha-1 year 
N leaching from 
Nemunas basin 6 
times less than 
from Denmark
Agricultural Production, N Fertilization in Lithuania, 
NO3-N Concentration in Agricultural Rivers 
140 
120 
100 
80 
60 
40 
20 
0 
1986 
1988 
1990 
1992 
1994 
1996 
1998 
2000 
2002 
Fertilization, production, % 
3.0 
2.5 
2.0 
1.5 
1.0 
0.5 
0.0 
Concentration, mg/l 
Production 
% Fertilization 
% 
Concentration 
mg/l
AVG NO3-N Concentration, mg/l 1996-2001 
Šešuvis 
Kaliningrad distr. 
Šušvė 
Poland 
1 
B e l a r u s 
L a t v i a 
Baltic Sea 
Minija 
Šyša 
Jūra 
Minija 
Veiviržas 
Jūra 
Dubysa 
Tatula 
Šiauliai 
Panevėžys 
Klaipėda 
Kaunas 
Vilnius 
Venta 
Rekyvos ež. 
Lėvuo 
Vyžuona 
Dubysa 
Mūša 
Mūša 
Šventoji 
Tauragnų 
Aisetas 
Žeimenys 
Siesartis 
Minčia 
Šventoji 
Širvinta 
Žeimena 
Neris 
Venta 
Mūša 
Nevėžis 
Nevėžis 
Kėdainiai 
Šušvė 
Nemunas 
Merkys 
Nemunas 
Šešupė 
Skroblus 
Merkys 
Šešupė 
Marijampolė 
Šilutė 
Tauragė 
Plungė 
Pasvalys 
Biržai 
Anykščiai 
Concentration 0,0-1,0 mgl-1 
Concentration 0,1-2,0 mgl-1 
Concentration 2,1-3,0 mgl-1 
Concentration 3,1-4,0 mgl-1 
Concentration >4,1 mgl-1 
> 4.1 mgN/l
NO3- N changes in the agricultural 
and background rivers 
1200 
1000 
800 
600 
400 
200 
0 
Nevezis 
Zeimen 
a 
Period of agr. 
reform. 
1954 
1958 
1962 
1966 
1970 
1974 
1978 
1982 
1986 
1990 
1994 
1998 
2002
Duckweed in the r. Nevezis
Nutrient 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 watershed 
Rainfall 
Fodder 
Emission 
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.
Characteristics of 
demonstration watersheds 
Watershed Total 
area, km2 
Arable, 
% 
Pasture, 
% 
Forest, 
% 
Graisupis 14.1 48.1 24.1 27.8 
Vardas 7.5 32.2 44.8 23.0 
Lyzena 1.83 23.3 74.3 2.4 
Bariunai 0.24 Farm 
Yard 
0.1 0
Kaliningrad district 
Poland 
Belorussia 
L a t v I a 
Baltic Sea 
Minija 
Jūra 
Venta 
Tatula 
Šiauliai 
Panevėžys 
Klaipėda 
Kaunas 
Vilnius 
Lėvuo 
Vyžuona 
Mūša 
Mūša 
Šventoji 
Žeimena 
Neris 
Mūša 
Nevėžis 
Nemunas 
Nemunas 
Nemunas 
Šešupė 
Nemunas basin 
Lielupė basin 
Venta basin 
Baltic sea basin 
Vardas 
Bariūnai 
Graisupis 
Lyžena 
Location of 
Monitoring 
Watersheds
Watersheds 
150 
148 
138 
# 
152 
154 
142 
146 
136 
140 
144 
142 
134 
154 
158 
160 
154 
152 
144 
132 
140 
130 
164 
170 
128 
172 
146 
132 
150 
158 
162 
146 
150 
132 
162 
144 
142 
154 
134 
134 
150 
142 
146 
142 
136 
154 
154 
153 
156 
146 
144 
N 
Monitoring 
post 
Lyžena 
Lyžena 
# 
Valučiai 
Dem. farm 
N 
Monitoring 
post 
Graisupis 
Graisupis 
Graisupis 
N 
# 
+ 
Monitoring 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 AVG 
r. Graisupis 11.6 17.6 6.9 36.1 12.0 
Ditch 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 5.5 
Rainfall 4.9 1.9 5.23 12.4 4.0 
Largest load 
from crop
NO3-N concentration in r. Nevezis 
(upstream Kedainiai) and Graisupis 
20 
15 
10 
5 
0 
1995 1996 1997 1998 1999 2000 2001 2002 2003 
Concentration, mgl-1l 
Nevezis Graisupis
Nutrient retention 
25 
20 
15 
10 
5 
0 
Load kg ha-1 
1997 1998 1999 AVG 
Load 
from crop 
Load 
in stream 
Load 
in ditch 
Load 
in 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 cycle 
on farm N losses 
N losses
N and P input in soil of dem. farm 
N P 
Input, kg ha-1 
1995 1999 2001 1995 1999 2001 
Fertilizers & seeds 41 85 124 30 10 9 
Fodder and 
7 9 10 2 2 6 
animals 
Deposition & 
fixation 
4 17.6 13 0 0.5 0 
Manure 7 10 14 
Total I 59 122 160 32 13 15
N and P output from soil, kg ha-1 
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 
Deficit Oversupply 
Residues (y) 34 43 32 6 14 7 
x–y =deficit/oversupply -136 -154 +14 +14 -24 -11
Kėdainiai 7 
Krakės 
11.52 ha 
3 8 1 
9 5 
6 
2 
V 
16.33 ha 
IV 
8.16 ha 
II 
VI 
6.36 ha 
I 
6.65 ha 
G-1 
Graisupis 
G-1 
Monitoring 
post 
57 
56.5 
III 
12.5 ha 
Field Trials
N leaching dependence on crop 
Perennial 
grass 
Spring 
cereal 
Winter 
cereal 
Row 
crops 
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 
12 
10 
8 
6 
4 
2 
0 
Cut 
Ploughed 
After 
ploughing 
Before 
ploughing 
1996 1997 1998 1999 2000 2001
Slurry in Lithuanian large farms 
Skuodas 
Kretinga Telšiai 
< 2000 m3 
2001-5000 m3 
5001-10000 m3 
10001-20000 m3 
> 20000 m3 
Šilu tė 
Tauragė 
Plungė 
Klaipėda 
Akmenė 
Joniškis 
Pakruojis 
Kelmė 
Radviliškis 
Šiauliai 
Šilalė 
Raseiniai Kėdainiai 
Jurbarkas 
Šakiai 
Vilkaviškis 
Kaunas 
Marijampolė 
Pasvalys 
Panevėžys 
Biržai 
Rokiškis 
Zarasai 
Kupiškis 
Anykščiai 
Utena 
Ignalina 
Ukmergė 
Molėtai Švenčionys 
Jonava 
Širvintos 
Mūša 
Vilnius 
Kaišiadorys 
Trakai 
Šalčininkai 
Prienai 
Alytus 
Varėna Lazdijai 
Mažeikiai 
Mūša 
Kaunas 
Vilnius 
Klaipėda Panevėžys 
Nemunas 
Nemunas 
Minija 
Šyša 
Jūra 
Minija 
Veiviržas 
JūraŠešuvis 
Dubysa 
Šušvė 
Tatula 
Šiauliai 
Venta 
Rekyvos ež. Lėvuo 
Dubysa 
Šventoji 
Tauragnų 
Aisetas 
Žeimenys 
Siesartis 
Šventoji 
Širvinta 
Žeimena 
Neris 
Venta 
Mūša 
Nevėžis 
Nevėžis 
Kėdainiai 
Šušvė 
Nemunas 
Nemunas 
Šešupė 
Skroblus 
Merkys 
Šešupė 
Marijampolė 
Šilutė 
Plungė 
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 
Feed 
135 kgN;17 kgP; 105 kgK 
Milk 
27 kgN; 5 kgP; 7 kgK 
Offspring and weight gain 
2 kgN; 0,5 kgP; 0,1 kgK 
Litter 
5 kgN; 0,5 kgP; 6,0 kgK 
Manure and slurry 
111 kgN; 12 kgP; 104 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.
Monitoring post 
Barn 
watershed 
N 
+ Coordinate 
Manure storage 
Monitoring post 
Road 
Basin 
Barn 
Manure storage 
Collector 
Drain 
Contourline 
70 0 70 140 Meters 
# 
6 236 400 
+480 000 
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 
Pasture 
# 
Ground water piezometer 
Cow barn
Barn territory before manure storage 
construction
Layout of 
manure 
handling 
system 
Cowbarn 
Cow barn 
Cowbarn 
3 
5 
1 6 
Manure pad 
2 
4 
1 - urine reservoir 
2 - silage pad 
3 - urine pumping pit 
4 - pit for milking parlour effluents 
5 - free flow line for milking parlour effluents 
6 - urine gutter 
Surry pit 
Manure 
pad
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 
25 
20 
15 
10 
5 
0 
1999 
2000 
2001 
2002 
2003 
Concentration, mgN l-1 
102 39 
Permitted limit 
12mgN/l 
Before 
construction 
Filling 
Full pit
Total P concentration in drainage water from the 
territory of barns 
5000 
4000 
3000 
2000 
1000 
0 
1999 
2000 
2001 
2002 
2003 
Concentration micro g l-1 
7600 8100 5800 
Permitted limit 
1500 micro gP/l 
Filling 
Full pit 
Before 
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 
Mai 124 mgN/l 
Mediana 8.7 MgN/l 
>10 mgN/l 
Max 124 mgN/l 
Median 8.7 MgN/l
Water improvement in dug well 
30 
25 
20 
15 
10 
5 
0 
1996 
1997 
1998 
1999 
2000 
2001 
2002 
2003 
NO3-N concentration, mg/l 
Well water 
Permitted 
limit 
Permitted 
limit

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Monitoring and Assessment of Impact

  • 1. Monitoring and Assessment of Impact of Nutrient Management Measures Dr. Antanas Sigitas ŠILEIKA Water Management Institute Sigitas@water.omnitel.net 2004 09 14
  • 2. 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
  • 3. Nutrient load to the Baltic Sea N, tons P, tons Country 1990 1995 1990 1995 Denmark Estonia Finland Germany Latvia Lithuania Poland Russia Sweden 83,000 59,000 72,000 14,000 94,000 19,000 120,000 81,000 119,000 68,700 46,500 66,000 21,400 91,000 36,800 214,800 84,600 130,900 5,300 2,800 3,400 1,200 3,200 1,700 15,000 9,500 4,000 2,600 1,300 3,600 0,600 2,200 1,400 14,200 7,100 4,700 N load has increased 100,000 tons TOTAL 661,000 760,700 46,100 37,700
  • 4. Nutrient load to the Baltic Sea from the r. Nemunas in Lithuania NO3-N load Year NH4-N, t NO3-N, t PO4-P, t 1986 1988 1990 1992 1994 1996 1998 2000 2002 has 3,736 7,144 5,273 4,727 7,980 6,654 5,727 1,078 1,664 14,978 15,131 14,727 27,596 32,753 23,193 39,661 27,205 37,383 5,845 1,780 2,972 1,561 1,723 0,979 1,128 0,592 1,076 increased 2.5 times Source: Monitoring annals of the Lithuanian Joint Research Centre. Calculation for the Nemunas basin from Smalininkai post
  • 5. 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 20 15 10 5 0 Ostrobothnia (Finland) Schleswig- Holstein (Germany) Fyn County (Denmark) Nemunas basin (Lithuania) Ni trogen load kgha-1 year N leaching from Nemunas basin 6 times less than from Denmark
  • 6. Agricultural Production, N Fertilization in Lithuania, NO3-N Concentration in Agricultural Rivers 140 120 100 80 60 40 20 0 1986 1988 1990 1992 1994 1996 1998 2000 2002 Fertilization, production, % 3.0 2.5 2.0 1.5 1.0 0.5 0.0 Concentration, mg/l Production % Fertilization % Concentration mg/l
  • 7. AVG NO3-N Concentration, mg/l 1996-2001 Šešuvis Kaliningrad distr. Šušvė Poland 1 B e l a r u s L a t v i a Baltic Sea Minija Šyša Jūra Minija Veiviržas Jūra Dubysa Tatula Šiauliai Panevėžys Klaipėda Kaunas Vilnius Venta Rekyvos ež. Lėvuo Vyžuona Dubysa Mūša Mūša Šventoji Tauragnų Aisetas Žeimenys Siesartis Minčia Šventoji Širvinta Žeimena Neris Venta Mūša Nevėžis Nevėžis Kėdainiai Šušvė Nemunas Merkys Nemunas Šešupė Skroblus Merkys Šešupė Marijampolė Šilutė Tauragė Plungė Pasvalys Biržai Anykščiai Concentration 0,0-1,0 mgl-1 Concentration 0,1-2,0 mgl-1 Concentration 2,1-3,0 mgl-1 Concentration 3,1-4,0 mgl-1 Concentration >4,1 mgl-1 > 4.1 mgN/l
  • 8. NO3- N changes in the agricultural and background rivers 1200 1000 800 600 400 200 0 Nevezis Zeimen a Period of agr. reform. 1954 1958 1962 1966 1970 1974 1978 1982 1986 1990 1994 1998 2002
  • 9. Duckweed in the r. Nevezis
  • 10. Nutrient 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.
  • 11. N cycle in watershed Rainfall Fodder Emission Fertilizers N fixation Food Leaching Runoff
  • 12. 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.
  • 13. Characteristics of demonstration watersheds Watershed Total area, km2 Arable, % Pasture, % Forest, % Graisupis 14.1 48.1 24.1 27.8 Vardas 7.5 32.2 44.8 23.0 Lyzena 1.83 23.3 74.3 2.4 Bariunai 0.24 Farm Yard 0.1 0
  • 14. Kaliningrad district Poland Belorussia L a t v I a Baltic Sea Minija Jūra Venta Tatula Šiauliai Panevėžys Klaipėda Kaunas Vilnius Lėvuo Vyžuona Mūša Mūša Šventoji Žeimena Neris Mūša Nevėžis Nemunas Nemunas Nemunas Šešupė Nemunas basin Lielupė basin Venta basin Baltic sea basin Vardas Bariūnai Graisupis Lyžena Location of Monitoring Watersheds
  • 15. Watersheds 150 148 138 # 152 154 142 146 136 140 144 142 134 154 158 160 154 152 144 132 140 130 164 170 128 172 146 132 150 158 162 146 150 132 162 144 142 154 134 134 150 142 146 142 136 154 154 153 156 146 144 N Monitoring post Lyžena Lyžena # Valučiai Dem. farm N Monitoring post Graisupis Graisupis Graisupis N # + Monitoring post Dem. farm Graisupis post Vardas post Lyzena post
  • 18. 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.
  • 19. NO3-N load from watershed, kg ha yr-1 1997 1998 1999 Total AVG r. Graisupis 11.6 17.6 6.9 36.1 12.0 Ditch 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 5.5 Rainfall 4.9 1.9 5.23 12.4 4.0 Largest load from crop
  • 20. NO3-N concentration in r. Nevezis (upstream Kedainiai) and Graisupis 20 15 10 5 0 1995 1996 1997 1998 1999 2000 2001 2002 2003 Concentration, mgl-1l Nevezis Graisupis
  • 21. Nutrient retention 25 20 15 10 5 0 Load kg ha-1 1997 1998 1999 AVG Load from crop Load in stream Load in ditch Load in river
  • 22. 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.
  • 23. N cycle on farm N losses N losses
  • 24. N and P input in soil of dem. farm N P Input, kg ha-1 1995 1999 2001 1995 1999 2001 Fertilizers & seeds 41 85 124 30 10 9 Fodder and 7 9 10 2 2 6 animals Deposition & fixation 4 17.6 13 0 0.5 0 Manure 7 10 14 Total I 59 122 160 32 13 15
  • 25. N and P output from soil, kg ha-1 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 Deficit Oversupply Residues (y) 34 43 32 6 14 7 x–y =deficit/oversupply -136 -154 +14 +14 -24 -11
  • 26. Kėdainiai 7 Krakės 11.52 ha 3 8 1 9 5 6 2 V 16.33 ha IV 8.16 ha II VI 6.36 ha I 6.65 ha G-1 Graisupis G-1 Monitoring post 57 56.5 III 12.5 ha Field Trials
  • 27. N leaching dependence on crop Perennial grass Spring cereal Winter cereal Row crops The least leaching is from perennial pastures The highest leaching is from row crops
  • 28. Grassland management and NO3- N leaching to drainage, kg ha-1 12 10 8 6 4 2 0 Cut Ploughed After ploughing Before ploughing 1996 1997 1998 1999 2000 2001
  • 29. Slurry in Lithuanian large farms Skuodas Kretinga Telšiai < 2000 m3 2001-5000 m3 5001-10000 m3 10001-20000 m3 > 20000 m3 Šilu tė Tauragė Plungė Klaipėda Akmenė Joniškis Pakruojis Kelmė Radviliškis Šiauliai Šilalė Raseiniai Kėdainiai Jurbarkas Šakiai Vilkaviškis Kaunas Marijampolė Pasvalys Panevėžys Biržai Rokiškis Zarasai Kupiškis Anykščiai Utena Ignalina Ukmergė Molėtai Švenčionys Jonava Širvintos Mūša Vilnius Kaišiadorys Trakai Šalčininkai Prienai Alytus Varėna Lazdijai Mažeikiai Mūša Kaunas Vilnius Klaipėda Panevėžys Nemunas Nemunas Minija Šyša Jūra Minija Veiviržas JūraŠešuvis Dubysa Šušvė Tatula Šiauliai Venta Rekyvos ež. Lėvuo Dubysa Šventoji Tauragnų Aisetas Žeimenys Siesartis Šventoji Širvinta Žeimena Neris Venta Mūša Nevėžis Nevėžis Kėdainiai Šušvė Nemunas Nemunas Šešupė Skroblus Merkys Šešupė Marijampolė Šilutė Plungė Pasvalys Biržai Anykščiai 9 : - < 1.0 1.0 - 2,0 2,1 - 4,0 4,1 - 5,0 >5,0 Nėra duomenų
  • 30. Nutrients in milk production Feed 135 kgN;17 kgP; 105 kgK Milk 27 kgN; 5 kgP; 7 kgK Offspring and weight gain 2 kgN; 0,5 kgP; 0,1 kgK Litter 5 kgN; 0,5 kgP; 6,0 kgK Manure and slurry 111 kgN; 12 kgP; 104 kgK 5000 kg 111 kgN, 12 kgP and 104 kgK produce one cow per year
  • 31. 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.
  • 32. Monitoring post Barn watershed N + Coordinate Manure storage Monitoring post Road Basin Barn Manure storage Collector Drain Contourline 70 0 70 140 Meters # 6 236 400 +480 000 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 Pasture # Ground water piezometer Cow barn
  • 33. Barn territory before manure storage construction
  • 34. Layout of manure handling system Cowbarn Cow barn Cowbarn 3 5 1 6 Manure pad 2 4 1 - urine reservoir 2 - silage pad 3 - urine pumping pit 4 - pit for milking parlour effluents 5 - free flow line for milking parlour effluents 6 - urine gutter Surry pit Manure pad
  • 35. Manure storage, slurry reservoir and rain water management
  • 36. Filling of slurry spreader
  • 37. Slurry spreading by trailing hoses
  • 38. Total N concentration in drainage water from the territory of barns 25 20 15 10 5 0 1999 2000 2001 2002 2003 Concentration, mgN l-1 102 39 Permitted limit 12mgN/l Before construction Filling Full pit
  • 39. Total P concentration in drainage water from the territory of barns 5000 4000 3000 2000 1000 0 1999 2000 2001 2002 2003 Concentration micro g l-1 7600 8100 5800 Permitted limit 1500 micro gP/l Filling Full pit Before construction
  • 40. 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
  • 41. NO3-N concentration in 5775 dug wells 10.0 5.0 0 Mai 124 mgN/l Mediana 8.7 MgN/l >10 mgN/l Max 124 mgN/l Median 8.7 MgN/l
  • 42. Water improvement in dug well 30 25 20 15 10 5 0 1996 1997 1998 1999 2000 2001 2002 2003 NO3-N concentration, mg/l Well water Permitted limit Permitted limit