The dirt on nitrogen, soil, and carbon—a step toward solving the enigma of soil N balance
Transcript of The dirt on nitrogen, soil, and carbon—a step toward solving the enigma of soil N balance
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Dr. J. K. Ladha
IRRI Rice SeminarSeries
Current position: Principal Soil Scientist, IRRI
Editorial BoardSits in the editorial board of several international journals. Currently he is the
regional editor ofBiology and Fertility of Soils.
Education and training PhD from Banaras University, India (1976)Post Doctoral Fellow, University of Dundee (1977-78)Post Doctoral Fellow, IRRI (1980-82)
Work experience Twenty eight years experience in international agriculture researchin agronomy/cropping systems, soil management, andsystem sustainability.
Actively involved in research, training/teaching, project development, andteam leadership.
Co-author of more than 179 research articles in international refereed journals,and editor of 13 books.
Presented 81 invited papers in 31 countries.Supervised 30 M.S. and Ph.D. students and 40 Visiting Scientists from 12
countries.
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Dr. J. K. Ladha
Research highlights International Agronomy Service Award (2011)
International Soil Science Award (2010)
International Plant Nutrition Institute Science Award (2009)
Frosty Hill Fellow of the Cornell University (2008),
CGIAR King Baudouin Team Award (2004)
CGIAR Chairmans Excellence Science Team Award (2002)
Young Scientist Award by the Indian National Academy of Sciences (1976)
Fellow
American Association for the Advancement of Science (2008)
American Society of Agronomy (2004)
Soil Science Society of America (2002)
Indian Academy of Agriculture Science (1999).
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Very Best Wishesfor a Happy 2012
Foggy and
Cold New
Delhi
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Synthetic nitrogen is good for thefather and bad for the sons- Dutch
saying
J.K. [email protected]
The Dirt on Nitrogen, Soil andCarbon - A Step Toward Solving
the Enigma of Soil N Balance
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Synthetic N The Dirt
Destroys soil carbon
Undermines soil health
Creates a kind of treadmill effect
Bleeds the soil
Not an ecological advantage but agravest liability
Fertilized to death
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OutlineKey Topics for TodaysDiscussion
1. Role of Synthetic Nitrogen- Food production and Environment
- SOM
Equilibrium Concept
Methods to Calculate Changes in SOC and SON
Does the long-term use of synthetic fertilizer N
lead to decline in SOM? Summary and Conclusion
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Global, Long-Term (1961-2010),
3 Major Cereals
3 Land Use 3 Climate
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Role of Synthetic N - Outline
2. Construct Global N Balance byIntegrating 50 Years of NResearch Outputs
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0
500
1000
1500
2000
2500
1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010
Reducing hunger
Improving nutrition
Sparing naturalecosystem from
conversion toagriculture
R,W,MProduction(mt) Increased by 3 times in 40 years
Source: (FAO, 2010)
Global Rice, Wheat and MaizeProduction
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-20
-10
0
10
20
30
40
50
60
1960
1965
1970
1975
1980
1985
1990
1995
2000
2005
2010
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Global N Consumption by Rice,Wheat, Maize
Year
Consumption
(mt)
Increased by 9 times in 40 years
Source: unpublished
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Region/ RENT
a
Crop Mean
Africa
Australia
Europe
America
Asia
Average
Maize
RiceWheat
Average
aRENT=recovery efficiency of fertilizer N based on total plant N (kg N
taken kg
-1
N applied)
Descriptive Statistics of N Recovery Efficiencyfor Cereals in Various Regions
0.63
0.46
0.68
0.52
0.50
0.55
0.65
0.460.57
0.55
Ladha et al, 2005
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46 65% REN in first crop
5.7 7.1% REN in five succeeding crops
Summary
20 40% REN in Rainfeds
30 50% REN in Irrigated
200 studies (with 500 800 datapoints) conducted across the globein a wide diversity of ecologies
Source: Ladha et al 2005 Ad Agro
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Humanactivities
130-150(60%)?
Accumulation of reactive N in
AtmosphereSoilsGroundwaterLand vegetation
OceansMarine sediments
N2
Unreactive Pool4 x 109 Tg
Biotic90-130
Biotic90-130
Preindustrial Industrial
Reactive Pool of N(N2 Fixation Tg/year)
EnvironmentalChallenge
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2050
Global population 50% >
Global grain demand 100% >
Global fertilizer demand 50-70% >
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Soil Organic Matter
SOM is recognized as a major factor controlling thecapacity of soil resources to deliver agricultural andenvironmental servicesandsustain human societiesfromlocal (fertility maintenance) to global (mitigation ofatmospheric carbon emissions) scales.
Soilorganic
matteras a
pool of
nutrients
component oforgano-claycomplexes
pool ofcarbon
pool of
energy
soil chemical
status
soil waterstatus
soil physicalstatus
soil biological
status
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SOM Equilibrium Gain and Loss Balance
Time (Years)
SOC orSON
Loss
Gain
Originalequilibrium
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Gain (input) and Loss (output)Pathways of SOC and SON
Photosynthesis (C)
Biological NFixation
Synthetic N
Organics (C & N)
Decomposition/
Mineralization/Respiration
CO2, CH4
Denitrification/Leaching/
Volatilization
N2, N2O, NO, NO3, NH3
Gain Loss
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Major Factors Affecting SOMEquilibrium
Cropping pattern/intensity
Tillage
Climate
Organic fertilization Synthetic N fertilization
Soil water content
Organic fertilization Synthetic N fertilization
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Synthetic Fertilizer N
Question:Does the long-term use of synthetic fertilizer Nlead to decline in SOM?
View # 1
Augmenting SOM by promoting plant growththereby increasing amount of litter to soil.
View # 2Enhancing loss of SOM by accelerating its rateof oxidation or decay.
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Knowledge Gaps
Piece mill effort
Lack of consistency in data analysis
Inadequate statistics
No global scenario
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Ecological processes are oftenslow and it is only through long-
term experiments they can befirstly detected and secondly
understood.
T.R.E. Southwood, University ofOxford (1994)
Long-Term Experiment: A Treasure
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Worldwide Coverage of 114 LTEs
Tropical (20)
Sub-tropical (42)
Temperate (52)
3000 0 3000
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Data Set
All experiments included a cereal-based croprotation
At least one rate of synthetic fertilizer N (oftenwith P and K) plus a corresponding treatmentwithout the application of N (i.e.,N+P+Kversus +N+P+K) within a study
Use similar soil depth at t=0 and t=1
114 LTEs from 100 sites globally
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Data Set : Sub - Groups
Climate (CL)
Land Use (LU)
Fertilizer Type (FT)
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Data Set
Duration and number of C and N datapoints
Duration (year) SOC SON
10 172 103
11-30 543 311
31-50 85 84
>51 117 82Total 917 580
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Statistical Analysis
Standardization allowed the elimination of
differences due to sampling of soils atdifferent depths and the associated bulkdensities among the studies.
All the data (primary and derived) were
analyzed using the SAS mixed modelprocedure (SAS Institute, 2001) and meta-analysis Meta-Win software (Rosenberg etal., 2000).
All the gravimetric and volumetric datawere converted to a percentage changeover time.
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t = 0
Time
SO
CorSONContent
t = 1
mgNkg-1
1000
800
600- F (Nct1)
+ F (Nft1)
No change
Methods to Calculate Changes in SOC andSON
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Methods to Calculate Changes in SOC andSON
Nft1 - Nft0
Nft0X 100 = - 20%
1 A)=
t = 0 Time
SOCorSONC
ontent
t = 1
+ F
+ F (Nft1)
- 20 %
h d l l h i d
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Methods to Calculate Changes in SOC andSON
t = 0 Time
SOC
orSONContent
t = 1
2) = ((Nft1 / Nct1) -1)) x 100 = + 33
(Nft1)
+ F
(Nct1)- F
+ 33%
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3) = ((Nft1/ Nft0) - (Nct1 / Nct0) x 100 = + 20 %
Methods to Calculate Changes in SOC andSON
t = 0 Time
SOC
orSONContent
t = 1
(Nct1)
Nct0 (Nft1)
Nft0
+ 20 %
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Estimation of Responses of FertilizerN Input to SOC and SON
Three ways:
(1) Time Response (TR)
(2) N-Fertilizer Response (NR)
(3) Time by N-fertilizer Response
(TNR)
(1) Time Response (TR)
% difference in SOC and SON contentfollowing the application fertilizer betweentime (t) = 0 and t = 1
TR = [(Nft1 Nft0) / Nft0] x 100
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Estimation of Responses of FertilizerN Input to SOC and SON
(2) N-Fertilizer Response (NR)
% difference of the final values of soil N and Cbetween fertilized and zero-N treatments
NR = (Nft1 -fertilized / Nft1-Control -1) x 100
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Estimation of Responses of FertilizerN Input to SOC and SON
(3) Time by N-fertilizer Response (TNR)
% difference between the change in SOC and
SON in N-fertilized treatments compared withthe change in the zero N
TNR = [(Nft1 -fertilized / Nft0 -fertilized) - (Nft1-
control / Nft0-control)] x 100
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Estimation of Responses of FertilizerN Input to SOC and SON
TR TNR
Assesses the impact
of whole system(tillage, residuemanagement,erosion, fertilizermanagement etc)
Specifically
assesses the impactof an N-fertilizeramendment
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Final (t = 1) Concentration of SOC and SON (g kg-1) -Primary Data from 114 LTEs (Mixed Model Analysis)
Fertilizer (FT) SOC SON
Control (zero N) 13.7b 1.3bSynthetic N 12.9b 1.3b
Organic N 17.7a 2.0a
Integrated (organic +synthetic N)
8.8c 1.1b Land Use (LU) SOC SON
Flooded 18.0a 2.2aFlooded dryland 7.8c 1.2b
Dryland 14.0b 1.3b
Climate (CL) SOC SON
Tropical 8.2c 1.0b
Sub-tropical 13.8b 1.6a
Temperate 16.9a 1.4a
Organic N 17.7a 2.0a
Temperate 16.9a 1.4a
Flooded 18.0a 2.2a
TR d TNR f SOC d SON i Mi d M d l
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TR and TNR of SOC and SON using Mixed Modeland Meta Analysis
Mixed model
Mixed model
Meta-analysis
Meta-analysis
TNR
- std error
TR TNR
- 95% confidence interval
- std error- 95% confidenceinterval
TR
%
ChangeinSOC
-20
-10
0
10
20
30
40
50
60
Zero-N Synthetic-N Organic-N Organic+synthetic-N
%
ChangeinSOC
-20
-10
0
10
20
30
40
50
60
Zero-N Synthetic-N Organic-N Organic+synthetic-N
%C
hangein
SON
-20
-10
0
10
2030
40
50
60
Zero-N Synthetic-N Organic-N Organic+
synthetic-N
%C
hangeinSON
-20
-10
0
10
2030
40
50
60
Zero-N Synthetic-N Organic-N Organic+synthetic-N
P t Ch i TNR f SOC ith L
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Percent Change in TNR ofSOCwith Long-Term Synthetic N Application
Flooded(95%CI)
Flooded dryland(95%CI)
Dryland (95%CI)
TNR 7 (3-11) 17 (12-22) 7 (5-8)
Tropical(95%CI)
Humid sub-tropical
(95%CI)
Temperate(95%CI)
TNR 16 (12-20) 11 (9-14) 3 (1-4)
SOC (g kg
-1
) 15.2 (13-18) 6.3 (6-9) 12.7 (12-13)
SOC (g kg-1) 6.7 (6-7) 11.4 (10-12) 15.9 (15-17)6.7 (6-7)
17 (12-22)
16 (12-20)
6.3 (6-9)
Land Use
Climate
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Summary and Conclusion
Overall, SOM content generally declined over
time but synthetic-N led to slower decrease,and not a further additional decrease
SOM decreased in a crop rotation fluctuatingbetween flooding and drying than in
continuous dryland or flooded systems Flooded rice soils accumulates high SOC and
SON because of lower residue decompositionand higher BNF
TNR approach is accurate to determine theimpact of long-term application of synthetic Non SOM
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Summary and Conclusion
Undoubtedly, the primary function ofsynthetic N in producing food forgrowing population is vital but its role
on long-term consequences on thesystem sustainability is equallyimportant as SOM plays multiplefunctions in maintaining soil quality and
ecosystem services
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Key PublicationsLadha, Dawe, Ventura, Singh, Watanabe, SSAJ 2000Ladha, Pathak, Krupnik, Six, van Kessel, Ad Agro 2005Ladha, Reddy, Padre and van Kessel, JEQ 2011Ladha et al, unpublished
Acknowledgement