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Surface N balances and reactive N loss from global intensive
agricultural production systemsfor the period 1970-2030
Third International Nitrogen Conference, Nanjing, 12-16 October 2004
A.F. Bouwman1, G. Van Drecht1 and K.W. Van der Hoek2
1Netherlands Environmental Assessment Agency2Laboratory for Environmental MonitoringNational Institute for Public Health and the EnvironmentP.O. Box 1, 3720 BA BilthovenThe Netherlands
NONOyy NN22 NHNH331313
3333
1313 3030
55
175175
4545
2323
2626
88
4343
4545
1414
N DepositionN Fixation, natural N Transfer
8080
3030--300300
Accelerated global N cycle
NN22
UreaNH3
(million ton/yr as N)(million ton/yr as N)
N Fixation, human
0.5 by 0.5 degree grid cell
Upland cropsWetland rice
LegumesGrassland
Inputs-Fertilizer (Nfert)-Animal manure (Nman)-Biological N fixation (Nfix)-Atmospheric deposition (Ndep)
Npot=ΣΣΣΣInputs-Nexp-Nvol
Van Drecht et al. Global Biogeochem. Cycles (2003)Bouwman et al. Pedosphere (in press)
Surface balance approach
Outputs-crop/grass N export (Nexp)Incl. Fodder cropsExcl. residue management
SOIL
Static
appro
ach:
No ∆∆∆∆so
il-N
Nlea
Denitrification and leaching
Nden
N2O
Outputs-crop/grass N export (Nexp)Incl. Fodder cropsExcl. residue management-Ammonia volatilization (Nvol)
Denitrification and leaching
)carbondrainage,texture,soil(climate,lea �=fUpland crops
Wetland rice ƒden = 0.75 (based on measurements)flea = 0.25
(-)
0 - .10.10 - .25.25 - .50.50 - .75.75 - 1.00
Nden = (1-flea) Npot
Nlea = flea Npot
Van Drecht et al. GlobalBiogeochemical Cycles (2003)
World EconomyPopulation
Change in GDP, population, etc.
Land-useemissions
Energy demand & supply (TIMER)
Energy & industry emissions
Land demand, use & cover
Emissions & land-use changes
Carboncycle
Atmosphericchemistry
Concentration changes
Climate(Zonal Climate Model or ECBilt)
Climatic changes
Naturalsystems
AgriculturalImpacts
Water Impacts
Land degradation
Sea levelrise
Integrated Model to Assess the Global Environment (IMAGE)
Feedbacks
Impacts
Energy demand & supply
Energy & industry emissions
Land demand,use & cover
Land use emissions
Image-team (2001)
FAO WorldAgricultureTowards2030country data
0.5 by 0.5 degree resolution
World EconomyPopulation
Change in GDP, population, etc.
Land-useemissions
Energy demand & supply (TIMER)
Energy & industry emissions
Land demand, use & cover
Emissions & land-use changes
Carboncycle
Atmosphericchemistry
Concentration changes
Climate(Zonal Climate Model or ECBilt)
Climatic changes
Naturalsystems
AgriculturalImpacts
Water Impacts
Land degradation
Sea levelrise
Integrated Model to Assess the Global Environment (IMAGE)
Feedbacks
Impacts
Energy demand & supply
Energy & industry emissions
Land demand,use & cover
Land use emissions
Image-team (2001)
Intensive agricultureOther landIntensive agriculture 1995
FAO WorldAgricultureTowards2030country data
0.5 by 0.5 degree resolution
World EconomyPopulation
Change in GDP, population, etc.
Land-useemissions
Energy demand & supply (TIMER)
Energy & industry emissions
Land demand, use & cover
Emissions & land-use changes
Carboncycle
Atmosphericchemistry
Concentration changes
Climate(Zonal Climate Model or ECBilt)
Climatic changes
Naturalsystems
AgriculturalImpacts
Water Impacts
Land degradation
Sea levelrise
Integrated Model to Assess the Global Environment (IMAGE)
Feedbacks
Impacts
Energy demand & supply
Energy & industry emissions
Land demand,use & cover
Land use emissions
Image-team (2001)
FAO WorldAgricultureTowards2030country data
0.5 by 0.5 degree resolution
< 0.50.5 - 1.01.0 - 1.51.5 - 2.0> 2.0Other landAnimal densities (ruminants) 1995
World EconomyPopulation
Change in GDP, population, etc.
Land-useemissions
Energy demand & supply (TIMER)
Energy & industry emissions
Land demand, use & cover
Emissions & land-use changes
Carboncycle
Atmosphericchemistry
Concentration changes
Climate(Zonal Climate Model or ECBilt)
Climatic changes
Naturalsystems
AgriculturalImpacts
Water Impacts
Land degradation
Sea levelrise
Integrated Model to Assess the Global Environment (IMAGE)
Feedbacks
Impacts
Energy demand & supply
Energy & industry emissions
Land demand,use & cover
Land use emissions
Image-team (2001)
NO-N in kg ha-1 yr-1
.0 - 1.01.0 - 2.02.0 - 3.03.0 - 4.04.0 - 5.05.0 - 7.57.5 - 10.
> 10 NO emission 2030
FAO WorldAgricultureTowards2030country data
0.5 by 0.5 degree resolution
Integrated Model to Assess the Global Environment (IMAGE)
FAO WorldAgricultureTowards2030country data
0.5 by 0.5 degree resolution
Image-team (2001)
World EconomyPopulation
Change in GDP, population, etc.
Land-useemissions
Energy demand & supply (TIMER)
Energy & industry emissions
Land demand, use & cover
Emissions & land-use changes
Carbon cycle
Atmospheric chemistry
Concentration changes
Climate (Zonal Climate Model or ECBilt)
Climatic changes
Naturalsystems
AgriculturalImpacts
Water Impacts
Land degradation
Sea levelrise
Feedbacks
Impacts
Energy demand & supply
Energy & industry emissions
Land demand, use & cover
Land use emissions
FEEDBACKS
Image-team (2001)
Mixed systemsClose to urban areas, riversFertilizers, different feedstuffsManure storage and application
Pastoral systems and marginal grasslandMore remote from urban areasGrazing mainlyLimited manure storage and application
Upland crops
Wetland riceLegumes
Grassland
IMAGE Production systems
0.5 by 0.5 degreegrid cell
Excluded for better
comparison between
countries
Bouwman et al. Pedosphere (in press)
0
50100
150
200250
300
World agriculture:4900 Mha
World, intensiveagriculture: 2055
Mha
Mto
n/yr
Deposition BNF Manure Fertilizer
IMAGE production systems
050
100150200250300
World agriculture:4900 Mha
World, intensiveagriculture: 2055
Mha
Mto
n/yr
Crops NH3 Denitrification Leaching
Inputs
Outputs
80%
Total agriculture4900 Mha
Intensive agriculture2055 Mha
0 500 1000 1500 2000
Grassland 2030
Arable 2030
Grassland 1995
Arable 1995
Grassland 1970
Arable 1970
Mha
Developing
Industrial
Transition
IMAGE land use projection
Bouwman et al. AgriculturalSystems (2004)
FAO World Agri-culture: Towards2030 projection
For grasslands most production increase in mixed systems
Nearly all arable land expansion for feedproduction Bouwman et al. Agricultural Systems (2004)
Intensive agriculture 1995
Intensive agriculture 2030
Bouwman et al. Agricultural Systems (2004)
Intensive agricultureOther land
Intensive agricultureOther land
Animal densities (ruminants) 2030
Animal densities (ruminants) 1995
< 0.50.5 - 1.01.0 - 1.51.5 - 2.0> 2.0Other land
< 0.50.5 - 1.01.0 - 1.51.5 - 2.0> 2.0Other land
IMAGE land use projection
Animal densities (ruminants) 2030
Animal densities (ruminants) 1995
< 0.50.5 - 1.01.0 - 1.51.5 - 2.0> 2.0Other land
< 0.50.5 - 1.01.0 - 1.51.5 - 2.0> 2.0Other land
Animal densities (ruminants) 2030
Animal densities (ruminants) 1995
< 0.50.5 - 1.01.0 - 1.51.5 - 2.0> 2.0Other land
< 0.50.5 - 1.01.0 - 1.51.5 - 2.0> 2.0Other land
N and P fertilizer use for 1970, 1995 and 2030 1970 1995 2030 N fertilizer use (Mton yr-1 as N) Developing countrie s 9 50 73 Industrialized countries 15 24 30 Transition countries 7 5 6 World 32 79 109 P fertilizer use (Mton yr-1 as P2O5) Developing countrie s 4 19 37 Industrialized countries 12 10 14 Transition countries 5 1 2 World 21 31 52
Surface nutrient balance
FAO World Agriculture Towards 2030:
For allocation:Fertilizer use by crop(FAO/IFA/IFDC, 2003)
Upland crops
Wetland riceLegumes
Grassland
Grazing
Application to grass
Application to crops
Total manure N
Population and excretion rates-Cattle and buffaloes
-Sheep and goats-Horses-Camels
-Pigs-Poultry
Animal houses & storage
NH3
Stored and not used
Other uses (fuel)
Intensive agricultural system
Outside intensive agricultural system
Bouwman et al. Pedosphere (in press)
Surface nutrient balance 1995
72 Mton
104 Mton
32 Mton
kg N ha-1 yr-1
0 - 2020 - 4040 - 6060 - 8080 - 100
100 - 120> 120
N balance upland crops 1995
N fertilizer N manure
N uptake
kg N ha-1 yr-1
0 - 55 - 10
10 - 1515 - 2020 - 2525 - 3030 - 35
> 35
kg N ha-1 yr-1
0 - 2020 - 4040 - 6060 - 8080 - 100
100 - 120> 120
N deposition
STOCHEM Chemistry-transport model
kg N ha-1 yr-1
0 - 2020 - 4040 - 6060 - 8080 - 100
100 - 120> 120
N balance intensive systems 1970
N surplus = total N inputs - crop/grass export
kg N ha-1 yr-1
< 00 - 10
10 - 2020 - 4040 - 8080 - 120
> 120
1970
N balance intensive systems 1995
N surplus = total N inputs - crop/grass export
kg N ha-1 yr-1
< 00 - 10
10 - 2020 - 4040 - 8080 - 120
> 120
1995
N balance intensive systems 2030
N surplus = total N inputs - crop/grass export
kg N ha-1 yr-1
< 00 - 10
10 - 2020 - 4040 - 8080 - 120
> 120
2030
Kg N ha-1yr-1
Aus
tria
Bel
gium
Den
mar
k
Finl
and
Fran
ce
Ger
man
y
Gre
ece
Irela
nd
Italy
Net
herla
nds
Nor
way
Por
tuga
l
Spa
in
Sw
eden
Sw
itzer
land
Uni
ted_
Kin
gdom
WE
UR
0
100
200
300
400
500
600N-fertilizer Crop-exportN-manure NH3-volatilizationN-deposition DenitrificationN-fixation Leaching
N balance intensive systems 1995
Surplus for OECD countries were compared with OECD and Eurostat
Western Europe
Can
ada U
SA
Cen
tral_
Am
eric
a
Sou
th_A
mer
ica
Nor
th_A
frica
Wes
tern
_Afri
ca
Eas
tern
_Afri
ca
Sou
ther
n_A
frica
Wes
tern
_Eur
ope
Eas
tern
_Eur
ope
Form
er_U
SS
R
Mid
dle_
Eas
t
Sou
th_A
sia
Eas
t_A
sia
Sou
thea
st_A
sia
Oce
ania
Japa
n
0
50
100
150
200
250N-fertilizer Crop-exportN-manure NH3-volatilizationN-deposition DenitrificationN-fixation Leaching
N balance intensive systems 1995Kg N ha-1yr-1
Surplus for OECD countries were compared with OECD and Eurostat
World regions
Surplus for intensive agricultural area>> total agriculture
N balance 1995
China croplandZhu & Chen Bouwman et al.(2002)-1998 (in press)-1995
(Mton yr-1) INPUTSFertilizer 25 24Manure 5 4Biological fixation 3 3Atm. deposition 2 3Total 36 33
OUTPUTSHarvest 15 13Gaseous loss 12 15Leaching + runoff 2 5Unaccounted for 6 -Total 36 33
Accumulation and retention in subsoil and groundwater
Fertilizer use efficiencyOverall system N recovery
input N manure fertilizer NexportNcrop
FUE+
=
inputsNgrasscropsrecoveryNsystemOverall
�
+=
For wetland rice and upland crops, excluding legumes
Fertilizer, manure, biological N fixation, deposition
Fertilizer use efficiency upland crops 1995
Current N deficit systems may change into systems withsurpluses
%
<4040 - 5050 - 6060 - 7070 - 100
> 100
Fertilizer use efficiency (%) wetland rice + uplandcrops
0 20 40 60 80 100 120 140 160
Southeast Asia
East Asia
South Asia
Sub-Saharan Africa
Middle East and North Africa
Latin America
Transition countries
Western Europe
North America
World 2030
1995
1970
Soil N depletion
0 10 20 30 40 50 60 70
Southeast Asia
East Asia
South Asia
Sub-Saharan Africa
Middle East and North Africa
Latin America
Transition countries
Western Europe
North America
World 2030
1995
1970
Intensive systems: Overall system N recovery in % of inputs
DIFFERENCES HAVE MANY CAUSES:Soil N depletion Over-fertilizationClimate/soils Wetland riceProductivity LegumesManagement Underestimation of N in harvest
Soil N depletion
0 10 20 30 40 50 60 70
Southeast Asia
East Asia
South Asia
Sub-Saharan Africa
Middle East and North Africa
Latin America
Transition countries
Western Europe
North America
World 2030
1995
1970
Intensive systems: Overall system N recovery in % of inputs
DIFFERENCES HAVE MANY CAUSES:Soil N depletion Over-fertilizationClimate/soils Wetland riceProductivity LegumesManagement Underestimation of N in harvest
Over-fertilization
0 10 20 30 40 50 60 70
Southeast Asia
East Asia
South Asia
Sub-Saharan Africa
Middle East and North Africa
Latin America
Transition countries
Western Europe
North America
World 2030
1995
1970
Intensive systems: Overall system N recovery in % of inputs
DIFFERENCES HAVE MANY CAUSES:Soil N depletion Over-fertilizationClimate/soils Wetland riceProductivity LegumesManagement Underestimation of N in harvest
Mix of crops (wetland rice)
0 10 20 30 40 50 60 70
Southeast Asia
East Asia
South Asia
Sub-Saharan Africa
Middle East and North Africa
Latin America
Transition countries
Western Europe
North America
World 2030
1995
1970
Intensive systems: Overall system N recovery in % of inputs
DIFFERENCES HAVE MANY CAUSES:Soil N depletion Over-fertilizationClimate/soils Wetland riceProductivity LegumesManagement Underestimation of N in harvest
Legumes
0 10 20 30 40 50 60 70
Southeast Asia
East Asia
South Asia
Sub-Saharan Africa
Middle East and North Africa
Latin America
Transition countries
Western Europe
North America
World 2030
1995
1970
Intensive systems: Overall system N recovery in % of inputs
DIFFERENCES HAVE MANY CAUSES:Soil N depletion Over-fertilizationClimate/soils Wetland riceProductivity LegumesManagement Underestimation of N in harvestUnderestimation of N in harvest
Intensive systems:N loss in % of inputs
35 40 45 50 55 60 65 70
World
Southeast Asia
East Asia
South Asia
Sub-Saharan Africa
Middle East and North Africa
Latin America
Transition countries
Western Europe
North America
(%)
2030
1995
1970
N loss is complement of system N recovery
0 5 10 15 20
Southeast Asia
East Asia
South Asia
Sub-Saharan Africa
Middle East & North Africa
Latin America
Transition countries
Western Europe
North America
N loss (Mton/yr)
NH3
NO3
N2O
NO
Intensive systems: Total reactive N loss
NH3 NO3 N2O NO1970 18.1 18.2 2.0 1.11995 34.2 28.5 2.7 1.52030 44.0 35.3 3.5 2.0
1995
World
AcidificationEutrophicationAerosols
0 5 10 15 20
Southeast Asia
East Asia
South Asia
Sub-Saharan Africa
Middle East & North Africa
Latin America
Transition countries
Western Europe
North America
N loss (Mton/yr)
NH3
NO3
N2O
NO
Intensive systems: Total reactive N loss
NH3 NO3 N2O NO1970 18.1 18.2 2.0 1.11995 34.2 28.5 2.7 1.52030 44.0 35.3 3.5 2.0
1995
World
Groundwater pollutionDisturbance of freshwater and coastal marine systems
0 5 10 15 20
Southeast Asia
East Asia
South Asia
Sub-Saharan Africa
Middle East & North Africa
Latin America
Transition countries
Western Europe
North America
N loss (Mton/yr)
NH3
NO3
N2O
NO
Intensive systems: Total reactive N loss
NH3 NO3 N2O NO1970 18.1 18.2 2.0 1.11995 34.2 28.5 2.7 1.52030 44.0 35.3 3.5 2.0
1995
World
N2O-N in kg ha-1 yr-1
.0 - 1.01.0 - 2.02.0 - 3.03.0 - 4.04.0 - 5.05.0 - 7.57.5 - 10.
> 10Based on Bouwman et al. Global Biogeochemical Cycles 16 (2002)
Global warmingStratospheric ozone
0 5 10 15 20
Southeast Asia
East Asia
South Asia
Sub-Saharan Africa
Middle East & North Africa
Latin America
Transition countries
Western Europe
North America
N loss (Mton/yr)
NH3
NO3
N2O
NO
Intensive systems: Total reactive N loss
NH3 NO3 N2O NO1970 18.1 18.2 2.0 1.11995 34.2 28.5 2.7 1.52030 44.0 35.3 3.5 2.0
1995
World
Ozone chemistryAcidificationEutrophication
Concluding remarks
•Considerable improvement of N recovery is possible
•But, differences in reactive N loss and system N recovery reflect a host of factors:-Agro-ecological resources (soils, climate)-Management-Mix of crops (wetland rice, legumes)
•So, recovery and its improvement can not bethe same everywhere
•Current N deficit systems may change intosystems with surpluses
•Concentration of livestock and crop production
Thank you !