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Evaluation of Integrated Crop-Livestock-Forest Systems
and Soil Carbon Dynamics in Brazil
Ladislau Martin-Neto1,2, Amanda M. Tadini1,3, Alberto C. C. Bernardi4
and Débora M.B.P. Milori1.
1- Embrapa Instrumentação, São Carlos, SP, Brazil
2- Co-chair of Croplands Research Group- Global Research Alliance on Ag GHG
3- FAPESP- Research Support Agency in the São Paulo State (Pos-doc Fellowship)
4- Embrapa Pecuária Sudeste, São Carlos, SP, Brazil
ladislau.martin@embrapa.br
VII Workshop red REMEDIA- Lugo, 27/28 March 2019
Outline
- Brazilian Agriculture- current status
- Embrapa- Brazilian Agricultural Research Corporation
- Low Carbon Agriculture Plan and Integrated Crop-
Livestock-Forest Systems (ICLF)
- Soil Organic Matter (SOM) Dynamics in Tropical Areas
- Results with combination of soil fractionation and
spectroscopic analysis in no-till areas
- Recent Results on SOM dynamics in ICLF experimental field
using laser-based techniques
- Final Remarks
25/08/17
Brazil- Evolution of Grains Production and
Land Area Use
Productivity
Productivity
Productivity
BRAZILIAN FOOD SECURITY
Sufficient food production to 200 million of inhabitants and
exportation of around 300 products to 180 countries
(around 20% of total is exported)
230
MILLIONS OF TONS
(2016/17)
GRAINS
26.2
MILLIONS OF TONS
(2016)
MEAT
38.9
MILLIONS OF
TONS
(2014)
FRUITS
35.2
BILLIONS OF
LITERS
(2014)
MILKSources: IBGE, CEPLA, Conab.
Adaptation and update Embrapa
- 25% GDP
- 40% exports
- 40% of Jobs
Greenhouse Gases Emission- Brazil
Period 1990 – 2014
Em CO2 equivalente
Tg = million tons GWP CH4: 21; GWP N2O: 310 Annual Estimate of GHG Emissions of Brazil- 3ª
Edição- MCTIC- Brasília, 2016
CERRADO
(SAVANNAH -
200 Mi ha)
AMAZON
SEMI-ARID
SUBTROPICAL
Land-Use in Brazil
PROTECTED
Land Use and Occupation in Brazil (2016)
Sources: Embrapa; MMA; FUNAI; DNIT; ANA (Brazil), NASA (USA)
87% of sugarcane production
14
45
86
55
0
10
20
30
40
50
60
70
80
90
100
World Brazil
RENEWABLE
NON-RENEWABLE
Brazil - Renewable Energy Power
Estimate of
necesssary
increase of food
production until
2050. Brazil must
contribute with
40% of total
increase.
70%
Source: ONU/FAO – EMBRAPA – IBGE 2011
The Brazilian Agricultural Research System
70 Agricultural
Universities
The Brazilian Agricultural Research Corporation
42 Embrapa Centers
17 State Research Networks
OEPAS
Private Sector
Brazil has also an active and growing
private sector, which supplies
technologies and technical assistance
mainly in farm inputs and food processing
Embrapa Network
• Established in 1973
• Linked to Ministry of Agriculture
• Employees (total): 9,860
• Scientists (mainly PhDs): 2,457
• Analysts (Undergraduate): 2,540
• Budget 2017- US$ ~1 Billion
42 Research Centers
• National Thematic-10
• National Product-15
• Eco regional / Agroforestry-17
• Headquarters-
Board - President and 3 Executive Directors
5 Executive Secretariat
Embrapa's main activity focuses abroad
Embrapa Virtual Labs - LABEX
And Projects
TECHNICAL COOPERATION
TECHNICAL-SCIENTIFIC COOPERATION
MALI
GHANA
BENIN
CHAD
ANGOLA
UGANDA
KENYA
BURUNDI
TANZANIA
MOZAMBIQUE
PERU
PARAGUAY
GERMANY
UNITED
KINGDOM
FRANCE
BURKINA
FASO
USA CHINA
SOUTH KOREA
JAPAN
Key technologies that contributed to the
Cerrados agriculture
PrioridadesPrioridades
Main Limitations
Removed by
Public R&D in
Brazil
Development of a Platform of
Sustainable Practices
“Tropicalization” of
crops and animal
production systems
Transformation of
acidic, poor soils
into fertile land
The 1st revolution
The 2nd revolution
milliontonsCO2equivalent
(Area in million hectares, volume in million m3, reduced GHG million tons CO2 equivalent)
Sub-programas
Recuperação de pastagens degradadas (área)
Sistemas de Integração Lavoura Pecuária Floresta (área)
Sistema de plantio direto (área)
Fixação Biológica de Nitrogênio (área)
Florestas Plantadas (área)
Tratamento de Dejetos Animais (volume)
1 Through appropriate management and fertilization.
2 Including Agroforestry Systems (AFS).
3 Not computed the Brazilian commitment to the steel industry; and it was not
accounted for the GHG emission mitigation potential.
1
2
3
Objectives
2011/2015
Objectives
2016/2020Subprograms
Recovery of degraded pastureland (ha)
Integrated Crop-Livestock-Forest Systems (ha)
No-tillage System (ha)
Planted forests (ha)
Biological Nitrogen Fixation (ha)
Treatment of animal wastes(million m3 )
Estimated reduction
of GHG (in 2020)
Brazilian Low Carbon Agriculture Plan
Commitments of Agriculture 2010 – 2020
83-104
18 - 22
16 - 20
10
8 -10
6.9
133,9 to 162,9
No-tillage system (32 Mi ha)
Environmentally friendly
Harvesting
Soybeans
First Crop
Sowing Corn
Second crop
Two crops in the same
year without irrigation
The Example of Brazilian Tropical Agriculture Development
Savannah’s Agriculture
Biological Nitrogen Fixation (BNF): Soybean
Innoculation- avoid N fertilizers use
Annual saving > US$ 10 billions
with Innoculation
without Innoculation
Soybean 30 Mi ha- 100 mi ton.
N2 + 16 ATP + 8 e- + 8H+ ---> 2 NH3 + H2 + 16 ADP + 16 Pi
Cycling crops and livestock – 365 days a year!
Systemic, Integrated Production Systems
INTEGRATED SYSTEMS ARE BECOMING A NORM FOR RECOVERY OF DEGRADED LAND
February April June
June June-October November-December
Integrating Crops, Livestock and Forests
“Sustainable Intensification of Brazilian agriculture –
Production of food and energy with ecosystem services
Integrated Crop-Livestock-Forest (ICLF)
Agricultural Sustainable Intensification
25/08/17
CO2
CH4
Recovered
pastureland & Soil C
accumulation at depth
Enteric
Fermentation
CO2
Forest Biomass
Animal welfare = thermal comfort
25/08/17
Note: Please
believe us
because the
cows are not
stuck with
chains in the
trees!!!
25/08/17
Animal welfare = thermal comfort
Adoption of Integrated Crop-Livestock-Forest (CLF)
Systems in Brazil- 2016
Source: Low Carbon Agriculture Lab 2016
AreaofICLFsystem
(millionofha)
CarbonMitigation
millionoftCO2eq
Mitigation of mi t CO2 eq
Evolution of CLFI
adoption (mi ha)
1.501.016 ha
2.085.518 ha
943.934 ha
1.046.878 ha
1.457.900 ha
Area under CLF
0%
20%Evolution of adoption:
2005-2010 – 3.6 million ha
2010-2015 – 6 million ha
Evolution of mitigation:
2005-2010 – 13.3 mi t CO2 eq
2010-2015 – 21.8 mi t CO2 eq
Multi-institutional Lab for Low Carbon
Agriculture (ABC) Plan Monitoring
Location: Embrapa Environment- Jaguariúna-SP
Ministry of
Environment
Ministry of Science &
Tecnhology
Ministry of Agriculture,
Livestock and Food Supply
ICLF Network (“Rede ILPF”)
Public x Private Partnership
International
R&D
Tech
Transfer
www.ilpf.com.br Communication
Partnership
25/08/17
Extraordinary change
within 10 years, with
support from Embrapa and
Extension Service,
Mrs Marize Porto, a
Farmer in Goiás State
(Neotropical Savanna).
Integrated crop livestock
forestry system
How to take a farm out of bankruptcy
4 per 1000 initiative- 0,4% of increase of SOM
Abad Chabbi- VI International Symposim on SOM- Harpender, UK, September-2017
France- 2015, COP 21
We bring countries together to find ways to grow more food
without growing greenhouse gas emissions.
CROPLANDS RESEARCH GROUP:
Co-chairs: Maria Rosa Mosquera Losada - Spain
Mark Liebig- USA
Ladislau Martin-Neto- Brazil
http://globalresearchalliance.org
Embrapa’s Climate Change Portfolio (with partnership
with many Universities and other public institutions)
Developing practical land-based GHG mitigation strategies, carbon
sequestration and reduction of N2O emissions
Main Research Networks:
Fluxus- Grains areas
Pecus- Pastureland and Integrated System
Saltus- Forest (native and exotic)
Coordinator of Portfolio’s Committee: Dr. Giampaolo Queiroz Pellegrino
EMBRAPA – Brazilian Agricultural Research Corporation
PECUS NETWORK-
100+ scientists
Grazing systems (integrated or not) with GHG
mitigation potential
PECUS goal: compare Carbon balances
“Positive” control
(Natural vegetation)
“Negative” control
(degraded pasture)
Characteristics of the research network:
• Evaluation of representative production systems in all major biomes
• Trials repeated in time and space
• Use of internationally recognized methodologies
• Study of soil-plant-animal-atmosphere compartments
• Standardized data organized in data bank
• Modeling and evaluation of environmental and social-economic impact
• Development of scenarios to support government decisions, avoiding
the use of default indexes and tiers that might not be adequate to Brazil .
CLFS
LFS
CLS
CFS
EmbrapaInstrumentation Center- São Carlos/SP- Brazil
3
3
- Began/1984- 88 employees
- 30 Ph.D Scientists - Physics,
Eletronic, Mechatronic and Material
Science Engineers, Chemistry,
Computing,...
- ~ 300 graduate students (USP and
UFSCar) and pos-docs
1 2
3- National Lab of Precision
Agriculture (2013).
Drones, robots, smart
sensors, imaginery analysis,...
1- Main Building- Labs
of Spectroscopies
(NMR, Photonics,..)
Tomographies (X-ray,
NMR), ....
2- National Laboratory
of Nanotechnology to
Agriculture (first in
the world dedicated
exclusively to
Agriculture, 2009)
• Nuclear Magnetic Resonance Spectrometer- Bruker- 400 MHz
• Electron Paramagnetic Resoance (EPR)- Bruker -Bands X and Q;
• Infrared (FTIR) and Near Infrared (NIR);
• Optics and Laser Laboratory ( UV-Vis, LIF, LIBS)
• Electroanalytical methods
• NMR, X and Gama Ray Tomographies
• Gas and Liquid Chromatographies and Mass Spectra
• Elemental (CHNS) and Thermo-analysis equipments
• Atomic Force and Tunneling Microscopy
• Electronic Microscopy
• ......
Some Facilities Available at Embrapa Instrumentation to
SOM research
South America Low Carbon Agriculture (LCA) Offset
25/08/17
Sá,J.C.M. et al., 2017.
LCA in South America to
mitigate global climate
change and advance food
security.
Environment International,
98, 102-112, 2017.
SOIL ORGANIC MATTER (SOM) IN BRAZIL
• Tropical and subtropical regions (Brazil)- soil organic matter (SOM) - major factor
to soil quality- fast turnover compared to temperate areas (low TOC), kaolinite (clay
1:1, low cation exchange capacity- CEC)
• In the past- conventional tillage- erosion, reduction of soil fertility and structure,
decrease SOM (CO2emission). Currently is changing with reduction of
deforestation, No-till, Integrated Crop-Livestock-Forest systems and others
Soil C Accumulus is dependent of:
1- Edaphoclimate conditions:
- Soil characteristics: texture and mineralogy (tropics: kaolinite, oxides and
hydroxides of iron and aluminium)
- Climate: temperature and humidity (tropics: high microbial activity)
2- Biological Productivity of Plants
- Plants characteristics, including radicular systems (tropics: high photosynthesis
capacity- immense biomass production)
Fig.3- ...Only in some soil-specific situations, the adoption of recommended management
practices (RMPs) can increase SOC pool above that of the natural system. An example of
this is acid savanna soils of South America (Llanos, Cerrados) where alleviation of soil-
related constraints can drastically enhance the SOC pool.
(Rattan Lal, Ohio State Un., Conference Soil and Climate Change, Brussels, June 2008)
Acrisol (Typic Paleudult- US)- 20% clay content
subptropical climate, temp.= 19.4 oC; rainfall= 1440 mm
Bayer et al., Soil and Tillage Research (2000), 54 (1-2), 101-109.
Conventional Till X No-Till- Subtropical Area
TILLAGE
PD: no-till
PC: conventional
PR: reduced
CERRADO: native
TotalorganicC,tha-1
Costa Rica/MS, Brazil; 5 years
PD (0-20 cm);
TOC 3.02 t/hectare;
CO2 11 t/hectare
Bayer, Martin-Neto et al., Soil & Tillage Research (2006) 86 (2), 237-245.
DIFFERENT TILLAGE PRACTICES IN SAVANNA REGION OF BRAZIL
Mean value of soil carbon sequestration in grains areas of
Brazil
Data from Bayer, Martin-Neto et al., 2000 and 2006 (Soil & Tillage
Research, 86: 237-245), and from available literature in Brazil:
Sub-tropical region BR= 0.48 MgC /ha year (variation= 0.19-081 Mg C/
ha year), layer 0-20 cm, soils under no-till, soybean, corn, wheat, and
leguminous (cover plants) (winter- more rainfall than Savanna regions-
03 harvest per year)
Savanna- 0.35 Mg C/ha year (variation= -0.03-0.60 MgC/ha ano) layer
0-20 cm, soils under no-till, soybean and corn mainly (sequestration-
1.26 Mg CO2/ha ano)
Chemical structure of SOM
NMR, EPR, Fluorescence Analysis - Humic Acids
3340 3360 3380 3400 3420 3440 3460
g=2,0033
H (G)
EPR- Semiquinona
43
Acrisol (Typic Paleudult- US)- 20% clay content
subptropical climate, temp.= 19.4 oC; rainfall= 1440 mm
Bayer et al., Soil and Tillage Research (2000), 54 (1-2), 101-109.
Conventional Till X No-Till- Subtropical Area
CT-O/M NT-O/M CT-O+V/M+C NT O+V/M+C
0
2
4
6
8
10
12
14
16 9º year
SOIL MANAGEMENT
NT CT
EPR-SEMIQUINONE FREE RADICALS IN HUMIC ACIDS
Bayer et al., Geoderma (2002) 105 (1-2), 81-92
CT-O/M NT-O/M CT-O+V/M+C NT O+V/M+C
0
2
4
6
8
10
12
14
16 5º year
Spinsg
-1
HA(x10
17
)
SOIL MANAGEMENT
NT - 5 YEARS
CT - 5 YEARS
>150 m
50-150 m
20-50 m
2-20 m
<2 m
0 10 20 30 40 50 60
COT g kg -1
OM LIGTH
OM HUMIFIED
NT - 9 YEARS
CT - 9 YEARS
>150 m
50-150 m
20-50 m
2-20 m
<2 m
0 10 20 30 40 50 60
COT g kg - 1
OM LIGHT
OM HUMIFIED
ParticleSize
ParticleSize
DISTRIBUTION OF CARBON IN PHYSICAL FRACTIONS
Bayer et al., 2001. Soil Science Society of America Journal 65 (5), 1473-1478
EPR organo-mineral aggregates
ACRISOL /RS- Brazil
Quartz Signal
Semiquinone-type
Bayer, Martin-Neto et al., 2002
Plant and Soil 238 (1), 133-140
Is it possible to
obtain structural
information on soil
organic matter
without the need for
chemical
fractionation?
48
LIFS for analysis of SOM
Laser-induced Fluorescence Spectroscopy
soil samples from
experimental area
manual cleaning,
and after the
samples are sieved
15 ton of
pressure
3 pellets of
each sample
50
400 450 500 550 600 650 700
0
1
2
3
soil
calcinate and treated soil
Intensity(a.u.)
l (nm)
Milori, Galeti, Martin-Neto et al., SSSAJ, (2006) 70 (1), 57-63.
Laser Induced Fluorescence – LIF
Whole soil samples C analysis
CH
CH
CH
CHCH
CH
Molecule
“Rigid”
CH
CH
CH
CH
Molecule
“Loose”
300 400 500 600 700 800
0
1000
2000
3000
4000
Intensity(a.u.)
Wavelength (nm)
Espectro de fluorescência característico da MO
CH
CH
CH
CH
CH
CH
CH
CHCH
CH
Milori, D.M.B.P.; Galeti. V.A.; Martin-Neto, Ladislau; et al., Organic Matter Study of Whole Soil Samples Using Laser-Induced Fluorescence Spectroscopy.SSSAJ 70:57–63, 2006
Humification Degree
A= Area Fluor.
Emission Fluorescence spectrum
0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60
0.5
1.0
1.5
2.0
2.5
3.0
3.5
4.0
4.5
HFIL
x10
5
(unidadearbitrária)
A4
/A1
x 10
-5
(unidade arbitrária)
R = 0,98
P < 0,0001
53
Milori, D.M.B.P.; Galeti. V.A.; Martin-Neto, Ladislau; et al., Organic Matter Study of Whole Soil Samples
Using Laser-Induced Fluorescence Spectroscopy.SSSAJ 70:57–63, 2006
NC:no-cultivated soil; NT:no-tillage; CT:conventional tillage
Laser Induced Fluorescence – LIF
Whole soil samples C analysis
Milori, D.M.B.P.; Galeti. V.A.; Martin-Neto, Ladislau; et al., Organic Matter Study of Whole Soil Samples
Using Laser-Induced Fluorescence Spectroscopy.SSSAJ 70:57–63, 2006
0.0 - 2.5 2.5 - 5.0 5.0 - 10.0 10.0 - 15.0 15.0 - 20.0
0.00009
0.00012
0.00015
0.00018
fluorescence/C
cm
NC
NT
CT
LIBS
Laser-induced Breakdown Spectroscopy
AUTOMATED SOIL ANALYSIS
Embrapa Instrumentation is using similar technology used by
NASA in mission to Mars, that is Laser-induced breakdown
spectroscopy- LIBS, that pemit multielemental analysis.
SP-LIBS Ocean Optics
Spectrometers manufactured by
Ocean Optics
model LIBS2500
spectral range: 188-980 nm
Resolution: 0.1 nm
Laser manufactured by Quantel
model Big Sky Laser Ultra50
single-pulse energy 50 mJ
pulse duration 8ns
Delay time: 3 s
NICOLODELLI, G.; MARANGONI, B. S.; CABRAL, J. S.; VILLAS-BOAS, P. R.; SENESI, G. S.; SANTOS, C. H.; ROMANO, R. A.; SEGNINI, A.; LUCAS, Y.; MONTES, C. R.; MILORI, D.M.B.P. Quantification of total carbon in soil using
Laser-Induced Breakdown Spectroscopy (LIBS): a method to correct interference lines. Applied Optics, v. 53, n.10, p. 2170-2175, 2014
Applied Optics, vol 53, nº 10, p. 2170, 2014
58
Pastureland and Native Forest Sites
Pastureland without irrigation with high
stocking rate (HSWI)
Pastureland Degraded (DP)
Pastureland under irigation with high
stocking rate (HSI)
Pastureland without irrigation with
medium stocking rate (MSWI)
Native Forest (NF)
C stocks in different bovines stocking rate –
detemined by LIBS
0
20
40
60
80
100
120
140
160
CarbonStock(Mgha-1)
Management systems
30-100
0-30
HSI HSWI MSWI DP NF
Segnini et al., 2019- Scientia Agricola, 76, n.1, 33-40.
61
Beef
Dairy
Integrated systems
Crop /Livestock/Forest
Embrapa Pecuária Sudeste – Pecus experiments
Integrated Crop-Livestock-Forest System
Experiment began -2011
Soil samples collection-2016
30ha
•Crop-livestock-forest (CLFS), CLS +
Eucalyptus urograndis
•Crop-livestock (CLS): corn
intercropped with Palisade grass
•Extensive (EXT): Signal
grass pasture
•Livestock-forest (LFS), Palisade grass
+ Eucalyptus urograndis
•Intensive (INT): Palisade grass
pasture)
Soil survey
Long-term experiments with
integrated production systems
CLFs LFs
Wood
(4.5 years)
116 m3 102 m3
Trees growth (m3/ha)
0
20
40
60
80
100
120
140
01/04/12 18/10/12 06/05/13 22/11/13 10/06/14 27/12/14 15/07/15 31/01/16
Volume(m3)
Data
ILPF
SSP
CLFs
LFs
Summer Winter Total
CLFs 284 84 369
LFs 322 90 412
CLs 338 164 502
EXT 179 86 264
INT 406 225 631
Bovine Weight gain (kg/ha)
Variable
Treatment
INT LFs CLs CLFs EXT
Weight (kg) 333,2 333,0 342,7 343,7 327,2
CH4 (g/d) 198,1 202,1 198,4 180,3 190,1
CH4 (kg/ano) 72,3 73,8 72,4 65,8 69,4
CH4BW (gCH4/kgBW) 0,596 0,610 0,579 0,527 0,586
Methane
N2O
(g/ha/day)
CH4
(g/ha/day)
CLFs 0.018 A 0.019 AB
LFs 0.020 A 0.013 AB
CLs 0.007B 0.032 AB
EXT 0.021 A 0.067 A
INT 0.007 A 0.067 A
Alves, M.G.O. (2017)
Soil collecting
Soil collecting
1,500 collected samples
Ctotal, soil fertility
Sampling points
1.5m 3.0m 7.5m0m
OM decomposition
Soil agregation
Well-structured soil
SOM
0–5 cm
Carbon stocks
 Crop-Livestock System (CLS) with Native Forest (NT):
- 0,50 1,00 1,50 2,00 2,50 3,00 3,50 4,00
0-5 cm
5-10 cm
10-20 cm
20-30 cm
30-40 cm
40-60 cm
60-80 cm
80-100 cm
% Carbon
Depth % C_NF % C_CLS
- 100,00 200,00 300,00 400,00 500,00 600,00 700,00
0-5 cm
5-10 cm
10-20 cm
20-30 cm
30-40 cm
40-60 cm
60-80 cm
80-100 cm
Humification Index (x10+3)
Depth
HLIFS_Native Forest HLIFS_CLS
Carbon accumulation
 Livestock-Forest System (LFS) with Native Forest (NT): distance 0.0m
- 50,00 100,00 150,00 200,00 250,00 300,00 350,00
0-5 cm
5-10 cm
10-20 cm
20-30 cm
30-40 cm
40-60 cm
60-80 cm
80-100 cm
Humification Index (x10+3)_Distance 0.0m
Depth
HLIFS_Native Forest HLIFS_LFS_0.0m
- 0,50 1,00 1,50 2,00 2,50 3,00 3,50 4,00
0-5 cm
5-10 cm
10-20 cm
20-30 cm
30-40 cm
40-60 cm
60-80 cm
80-100 cm
% Carbon_Distance 0.0m
Depth
% C_NF % C_LFS_0.0m
Carbon accumulation
 Livestock-Forest System (LFS) with Native Forest (NT): distance 7.5m
- 50,00 100,00 150,00 200,00 250,00 300,00 350,00
0-5 cm
5-10 cm
10-20 cm
20-30 cm
30-40 cm
40-60 cm
60-80 cm
80-100 cm
Humification Index (x10+3)_Distance 7.5m
Depth
HLIFS_Native Forest HLIFS_LFS_7.5m
- 0,50 1,00 1,50 2,00 2,50 3,00 3,50 4,00
0-5 cm
5-10 cm
10-20 cm
20-30 cm
30-40 cm
40-60 cm
60-80 cm
80-100 cm
% Carbon_Distance 7.5m
Depth
% C_NF % C_LFS_7.5m
Carbon
accumulation
 Crop-Livestock-Forest System (CLFS) with Native Forest (NT): distance 0.0m
- 50,00 100,00 150,00 200,00
0-5 cm
5-10 cm
10-20 cm
20-30 cm
30-40 cm
40-60 cm
60-80 cm
80-100 cm
Humification Index (x10+3)_Distance 0.0m
Depth
HLIFS_Native Forest HLIFS_CLFS_0.0m
- 0,50 1,00 1,50 2,00 2,50 3,00 3,50 4,00 4,50
0-5 cm
5-10 cm
10-20 cm
20-30 cm
30-40 cm
40-60 cm
60-80 cm
80-100 cm
% Carbon_Distance 0.0m
Depth
% C_NF % C_CLFS_0.0m
Carbon
accumulation
 Crop-Livestock-Forest System (CLFS) with Native Forest (NT): distance 7.5m
- 20,00 40,00 60,00 80,00 100,00 120,00 140,00 160,00 180,00
0-5 cm
5-10 cm
10-20 cm
20-30 cm
30-40 cm
40-60 cm
60-80 cm
80-100 cm
Humification Index (x10+3)_Distance 7.5m
Depth
HLIFS_Native Forest HLIFS_CLFS_7.5m
- 0,50 1,00 1,50 2,00 2,50 3,00 3,50 4,00 4,50
0-5 cm
5-10 cm
10-20 cm
20-30 cm
30-40 cm
40-60 cm
60-80 cm
80-100 cm
% Carbon_Distance 7.5m
Depth
% C_NF % C_CLFS_7.5m
Carbon
accumulation in
detph
Final Remarks
- Long-term field experiments ICLF- soil C maps (LIBS), combined use of
fractionation methods (physical and chemical), spectroscopic and
chromatographic tools (LIFS, LIBS, 13C NMR, EPR, isotopic distribution 13C/12C)
– to obtain detailed data on dynamic and reactivity of SOM
- First results: 5 years experiment- comparison of SOM in ICLF with native
vegetation- increase of SOM content and from Laser-induced fluorescence
data- identification of incorporation of more humified organic compounds-
intense biomass production (aerial and root systems) and biological activity;
- Sustainable Intensification, as integrated crop-livestock-forest system-
conciliation of increase soil produtivity and reduction of environmental
impacts- carbon sequestration, more eficient use of natural and artificial
resources, biodiversity increase, animal welfare (thermal comfort),...
The Economist, August 28th 2010
“…But the
availability of
farmland is in fact
only a secondary
reason for the
extraordinary growth
in Brazilian
agriculture. If you
want the primary
reason in three
words, they are
Embrapa, Embrapa,
Embrapa.”
Brazil's agricultural miracle
How to feed the world
Acknowledgments
• Prof. Maria Rosa Mosquera Losada and Remedia network
for kind invitation!
• University of Santiago Compostela- campus Lugo – Vice-
Rector Prof. Montserrat Valcárcel Armesto
• Financial Support of Projects from Embrapa and Fapesp
(São Paulo State Research Funding Agency)
• To all of you for attention!
• ladislau.martin@embrapa.br
• www.embrapa.br/instrumentacao

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Ladislau martin-Neto et al.

  • 1. Evaluation of Integrated Crop-Livestock-Forest Systems and Soil Carbon Dynamics in Brazil Ladislau Martin-Neto1,2, Amanda M. Tadini1,3, Alberto C. C. Bernardi4 and Débora M.B.P. Milori1. 1- Embrapa Instrumentação, São Carlos, SP, Brazil 2- Co-chair of Croplands Research Group- Global Research Alliance on Ag GHG 3- FAPESP- Research Support Agency in the São Paulo State (Pos-doc Fellowship) 4- Embrapa Pecuária Sudeste, São Carlos, SP, Brazil ladislau.martin@embrapa.br VII Workshop red REMEDIA- Lugo, 27/28 March 2019
  • 2. Outline - Brazilian Agriculture- current status - Embrapa- Brazilian Agricultural Research Corporation - Low Carbon Agriculture Plan and Integrated Crop- Livestock-Forest Systems (ICLF) - Soil Organic Matter (SOM) Dynamics in Tropical Areas - Results with combination of soil fractionation and spectroscopic analysis in no-till areas - Recent Results on SOM dynamics in ICLF experimental field using laser-based techniques - Final Remarks 25/08/17
  • 3. Brazil- Evolution of Grains Production and Land Area Use Productivity Productivity Productivity
  • 4. BRAZILIAN FOOD SECURITY Sufficient food production to 200 million of inhabitants and exportation of around 300 products to 180 countries (around 20% of total is exported) 230 MILLIONS OF TONS (2016/17) GRAINS 26.2 MILLIONS OF TONS (2016) MEAT 38.9 MILLIONS OF TONS (2014) FRUITS 35.2 BILLIONS OF LITERS (2014) MILKSources: IBGE, CEPLA, Conab. Adaptation and update Embrapa - 25% GDP - 40% exports - 40% of Jobs
  • 5. Greenhouse Gases Emission- Brazil Period 1990 – 2014 Em CO2 equivalente Tg = million tons GWP CH4: 21; GWP N2O: 310 Annual Estimate of GHG Emissions of Brazil- 3ª Edição- MCTIC- Brasília, 2016
  • 6. CERRADO (SAVANNAH - 200 Mi ha) AMAZON SEMI-ARID SUBTROPICAL Land-Use in Brazil PROTECTED
  • 7. Land Use and Occupation in Brazil (2016) Sources: Embrapa; MMA; FUNAI; DNIT; ANA (Brazil), NASA (USA)
  • 8. 87% of sugarcane production 14 45 86 55 0 10 20 30 40 50 60 70 80 90 100 World Brazil RENEWABLE NON-RENEWABLE Brazil - Renewable Energy Power
  • 9. Estimate of necesssary increase of food production until 2050. Brazil must contribute with 40% of total increase. 70% Source: ONU/FAO – EMBRAPA – IBGE 2011
  • 10. The Brazilian Agricultural Research System 70 Agricultural Universities The Brazilian Agricultural Research Corporation 42 Embrapa Centers 17 State Research Networks OEPAS Private Sector Brazil has also an active and growing private sector, which supplies technologies and technical assistance mainly in farm inputs and food processing
  • 11. Embrapa Network • Established in 1973 • Linked to Ministry of Agriculture • Employees (total): 9,860 • Scientists (mainly PhDs): 2,457 • Analysts (Undergraduate): 2,540 • Budget 2017- US$ ~1 Billion 42 Research Centers • National Thematic-10 • National Product-15 • Eco regional / Agroforestry-17 • Headquarters- Board - President and 3 Executive Directors 5 Executive Secretariat
  • 12. Embrapa's main activity focuses abroad Embrapa Virtual Labs - LABEX And Projects TECHNICAL COOPERATION TECHNICAL-SCIENTIFIC COOPERATION MALI GHANA BENIN CHAD ANGOLA UGANDA KENYA BURUNDI TANZANIA MOZAMBIQUE PERU PARAGUAY GERMANY UNITED KINGDOM FRANCE BURKINA FASO USA CHINA SOUTH KOREA JAPAN
  • 13. Key technologies that contributed to the Cerrados agriculture PrioridadesPrioridades Main Limitations Removed by Public R&D in Brazil Development of a Platform of Sustainable Practices “Tropicalization” of crops and animal production systems Transformation of acidic, poor soils into fertile land The 1st revolution The 2nd revolution
  • 14. milliontonsCO2equivalent (Area in million hectares, volume in million m3, reduced GHG million tons CO2 equivalent) Sub-programas Recuperação de pastagens degradadas (área) Sistemas de Integração Lavoura Pecuária Floresta (área) Sistema de plantio direto (área) Fixação Biológica de Nitrogênio (área) Florestas Plantadas (área) Tratamento de Dejetos Animais (volume) 1 Through appropriate management and fertilization. 2 Including Agroforestry Systems (AFS). 3 Not computed the Brazilian commitment to the steel industry; and it was not accounted for the GHG emission mitigation potential. 1 2 3 Objectives 2011/2015 Objectives 2016/2020Subprograms Recovery of degraded pastureland (ha) Integrated Crop-Livestock-Forest Systems (ha) No-tillage System (ha) Planted forests (ha) Biological Nitrogen Fixation (ha) Treatment of animal wastes(million m3 ) Estimated reduction of GHG (in 2020) Brazilian Low Carbon Agriculture Plan Commitments of Agriculture 2010 – 2020 83-104 18 - 22 16 - 20 10 8 -10 6.9 133,9 to 162,9
  • 15. No-tillage system (32 Mi ha) Environmentally friendly Harvesting Soybeans First Crop Sowing Corn Second crop Two crops in the same year without irrigation The Example of Brazilian Tropical Agriculture Development Savannah’s Agriculture
  • 16. Biological Nitrogen Fixation (BNF): Soybean Innoculation- avoid N fertilizers use Annual saving > US$ 10 billions with Innoculation without Innoculation Soybean 30 Mi ha- 100 mi ton. N2 + 16 ATP + 8 e- + 8H+ ---> 2 NH3 + H2 + 16 ADP + 16 Pi
  • 17. Cycling crops and livestock – 365 days a year! Systemic, Integrated Production Systems INTEGRATED SYSTEMS ARE BECOMING A NORM FOR RECOVERY OF DEGRADED LAND February April June June June-October November-December
  • 18. Integrating Crops, Livestock and Forests “Sustainable Intensification of Brazilian agriculture – Production of food and energy with ecosystem services
  • 19. Integrated Crop-Livestock-Forest (ICLF) Agricultural Sustainable Intensification 25/08/17 CO2 CH4 Recovered pastureland & Soil C accumulation at depth Enteric Fermentation CO2 Forest Biomass
  • 20. Animal welfare = thermal comfort 25/08/17 Note: Please believe us because the cows are not stuck with chains in the trees!!!
  • 21. 25/08/17 Animal welfare = thermal comfort
  • 22. Adoption of Integrated Crop-Livestock-Forest (CLF) Systems in Brazil- 2016 Source: Low Carbon Agriculture Lab 2016 AreaofICLFsystem (millionofha) CarbonMitigation millionoftCO2eq Mitigation of mi t CO2 eq Evolution of CLFI adoption (mi ha) 1.501.016 ha 2.085.518 ha 943.934 ha 1.046.878 ha 1.457.900 ha Area under CLF 0% 20%Evolution of adoption: 2005-2010 – 3.6 million ha 2010-2015 – 6 million ha Evolution of mitigation: 2005-2010 – 13.3 mi t CO2 eq 2010-2015 – 21.8 mi t CO2 eq
  • 23. Multi-institutional Lab for Low Carbon Agriculture (ABC) Plan Monitoring Location: Embrapa Environment- Jaguariúna-SP Ministry of Environment Ministry of Science & Tecnhology Ministry of Agriculture, Livestock and Food Supply
  • 24. ICLF Network (“Rede ILPF”) Public x Private Partnership International R&D Tech Transfer www.ilpf.com.br Communication Partnership
  • 25. 25/08/17 Extraordinary change within 10 years, with support from Embrapa and Extension Service, Mrs Marize Porto, a Farmer in Goiás State (Neotropical Savanna). Integrated crop livestock forestry system How to take a farm out of bankruptcy
  • 26. 4 per 1000 initiative- 0,4% of increase of SOM Abad Chabbi- VI International Symposim on SOM- Harpender, UK, September-2017 France- 2015, COP 21
  • 27. We bring countries together to find ways to grow more food without growing greenhouse gas emissions. CROPLANDS RESEARCH GROUP: Co-chairs: Maria Rosa Mosquera Losada - Spain Mark Liebig- USA Ladislau Martin-Neto- Brazil http://globalresearchalliance.org
  • 28. Embrapa’s Climate Change Portfolio (with partnership with many Universities and other public institutions) Developing practical land-based GHG mitigation strategies, carbon sequestration and reduction of N2O emissions Main Research Networks: Fluxus- Grains areas Pecus- Pastureland and Integrated System Saltus- Forest (native and exotic) Coordinator of Portfolio’s Committee: Dr. Giampaolo Queiroz Pellegrino EMBRAPA – Brazilian Agricultural Research Corporation
  • 30. Grazing systems (integrated or not) with GHG mitigation potential PECUS goal: compare Carbon balances “Positive” control (Natural vegetation) “Negative” control (degraded pasture)
  • 31. Characteristics of the research network: • Evaluation of representative production systems in all major biomes • Trials repeated in time and space • Use of internationally recognized methodologies • Study of soil-plant-animal-atmosphere compartments • Standardized data organized in data bank • Modeling and evaluation of environmental and social-economic impact • Development of scenarios to support government decisions, avoiding the use of default indexes and tiers that might not be adequate to Brazil .
  • 33. EmbrapaInstrumentation Center- São Carlos/SP- Brazil 3 3 - Began/1984- 88 employees - 30 Ph.D Scientists - Physics, Eletronic, Mechatronic and Material Science Engineers, Chemistry, Computing,... - ~ 300 graduate students (USP and UFSCar) and pos-docs 1 2 3- National Lab of Precision Agriculture (2013). Drones, robots, smart sensors, imaginery analysis,... 1- Main Building- Labs of Spectroscopies (NMR, Photonics,..) Tomographies (X-ray, NMR), .... 2- National Laboratory of Nanotechnology to Agriculture (first in the world dedicated exclusively to Agriculture, 2009)
  • 34. • Nuclear Magnetic Resonance Spectrometer- Bruker- 400 MHz • Electron Paramagnetic Resoance (EPR)- Bruker -Bands X and Q; • Infrared (FTIR) and Near Infrared (NIR); • Optics and Laser Laboratory ( UV-Vis, LIF, LIBS) • Electroanalytical methods • NMR, X and Gama Ray Tomographies • Gas and Liquid Chromatographies and Mass Spectra • Elemental (CHNS) and Thermo-analysis equipments • Atomic Force and Tunneling Microscopy • Electronic Microscopy • ...... Some Facilities Available at Embrapa Instrumentation to SOM research
  • 35.
  • 36. South America Low Carbon Agriculture (LCA) Offset 25/08/17 Sá,J.C.M. et al., 2017. LCA in South America to mitigate global climate change and advance food security. Environment International, 98, 102-112, 2017.
  • 37. SOIL ORGANIC MATTER (SOM) IN BRAZIL • Tropical and subtropical regions (Brazil)- soil organic matter (SOM) - major factor to soil quality- fast turnover compared to temperate areas (low TOC), kaolinite (clay 1:1, low cation exchange capacity- CEC) • In the past- conventional tillage- erosion, reduction of soil fertility and structure, decrease SOM (CO2emission). Currently is changing with reduction of deforestation, No-till, Integrated Crop-Livestock-Forest systems and others Soil C Accumulus is dependent of: 1- Edaphoclimate conditions: - Soil characteristics: texture and mineralogy (tropics: kaolinite, oxides and hydroxides of iron and aluminium) - Climate: temperature and humidity (tropics: high microbial activity) 2- Biological Productivity of Plants - Plants characteristics, including radicular systems (tropics: high photosynthesis capacity- immense biomass production)
  • 38. Fig.3- ...Only in some soil-specific situations, the adoption of recommended management practices (RMPs) can increase SOC pool above that of the natural system. An example of this is acid savanna soils of South America (Llanos, Cerrados) where alleviation of soil- related constraints can drastically enhance the SOC pool. (Rattan Lal, Ohio State Un., Conference Soil and Climate Change, Brussels, June 2008)
  • 39. Acrisol (Typic Paleudult- US)- 20% clay content subptropical climate, temp.= 19.4 oC; rainfall= 1440 mm Bayer et al., Soil and Tillage Research (2000), 54 (1-2), 101-109. Conventional Till X No-Till- Subtropical Area
  • 40. TILLAGE PD: no-till PC: conventional PR: reduced CERRADO: native TotalorganicC,tha-1 Costa Rica/MS, Brazil; 5 years PD (0-20 cm); TOC 3.02 t/hectare; CO2 11 t/hectare Bayer, Martin-Neto et al., Soil & Tillage Research (2006) 86 (2), 237-245. DIFFERENT TILLAGE PRACTICES IN SAVANNA REGION OF BRAZIL
  • 41. Mean value of soil carbon sequestration in grains areas of Brazil Data from Bayer, Martin-Neto et al., 2000 and 2006 (Soil & Tillage Research, 86: 237-245), and from available literature in Brazil: Sub-tropical region BR= 0.48 MgC /ha year (variation= 0.19-081 Mg C/ ha year), layer 0-20 cm, soils under no-till, soybean, corn, wheat, and leguminous (cover plants) (winter- more rainfall than Savanna regions- 03 harvest per year) Savanna- 0.35 Mg C/ha year (variation= -0.03-0.60 MgC/ha ano) layer 0-20 cm, soils under no-till, soybean and corn mainly (sequestration- 1.26 Mg CO2/ha ano)
  • 42.
  • 43. Chemical structure of SOM NMR, EPR, Fluorescence Analysis - Humic Acids 3340 3360 3380 3400 3420 3440 3460 g=2,0033 H (G) EPR- Semiquinona 43
  • 44. Acrisol (Typic Paleudult- US)- 20% clay content subptropical climate, temp.= 19.4 oC; rainfall= 1440 mm Bayer et al., Soil and Tillage Research (2000), 54 (1-2), 101-109. Conventional Till X No-Till- Subtropical Area
  • 45. CT-O/M NT-O/M CT-O+V/M+C NT O+V/M+C 0 2 4 6 8 10 12 14 16 9º year SOIL MANAGEMENT NT CT EPR-SEMIQUINONE FREE RADICALS IN HUMIC ACIDS Bayer et al., Geoderma (2002) 105 (1-2), 81-92 CT-O/M NT-O/M CT-O+V/M+C NT O+V/M+C 0 2 4 6 8 10 12 14 16 5º year Spinsg -1 HA(x10 17 ) SOIL MANAGEMENT
  • 46. NT - 5 YEARS CT - 5 YEARS >150 m 50-150 m 20-50 m 2-20 m <2 m 0 10 20 30 40 50 60 COT g kg -1 OM LIGTH OM HUMIFIED NT - 9 YEARS CT - 9 YEARS >150 m 50-150 m 20-50 m 2-20 m <2 m 0 10 20 30 40 50 60 COT g kg - 1 OM LIGHT OM HUMIFIED ParticleSize ParticleSize DISTRIBUTION OF CARBON IN PHYSICAL FRACTIONS Bayer et al., 2001. Soil Science Society of America Journal 65 (5), 1473-1478
  • 47. EPR organo-mineral aggregates ACRISOL /RS- Brazil Quartz Signal Semiquinone-type Bayer, Martin-Neto et al., 2002 Plant and Soil 238 (1), 133-140
  • 48. Is it possible to obtain structural information on soil organic matter without the need for chemical fractionation? 48
  • 49. LIFS for analysis of SOM Laser-induced Fluorescence Spectroscopy
  • 50. soil samples from experimental area manual cleaning, and after the samples are sieved 15 ton of pressure 3 pellets of each sample 50
  • 51. 400 450 500 550 600 650 700 0 1 2 3 soil calcinate and treated soil Intensity(a.u.) l (nm) Milori, Galeti, Martin-Neto et al., SSSAJ, (2006) 70 (1), 57-63. Laser Induced Fluorescence – LIF Whole soil samples C analysis
  • 52. CH CH CH CHCH CH Molecule “Rigid” CH CH CH CH Molecule “Loose” 300 400 500 600 700 800 0 1000 2000 3000 4000 Intensity(a.u.) Wavelength (nm) Espectro de fluorescência característico da MO CH CH CH CH CH CH CH CHCH CH Milori, D.M.B.P.; Galeti. V.A.; Martin-Neto, Ladislau; et al., Organic Matter Study of Whole Soil Samples Using Laser-Induced Fluorescence Spectroscopy.SSSAJ 70:57–63, 2006 Humification Degree A= Area Fluor. Emission Fluorescence spectrum
  • 53. 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 HFIL x10 5 (unidadearbitrária) A4 /A1 x 10 -5 (unidade arbitrária) R = 0,98 P < 0,0001 53 Milori, D.M.B.P.; Galeti. V.A.; Martin-Neto, Ladislau; et al., Organic Matter Study of Whole Soil Samples Using Laser-Induced Fluorescence Spectroscopy.SSSAJ 70:57–63, 2006
  • 54. NC:no-cultivated soil; NT:no-tillage; CT:conventional tillage Laser Induced Fluorescence – LIF Whole soil samples C analysis Milori, D.M.B.P.; Galeti. V.A.; Martin-Neto, Ladislau; et al., Organic Matter Study of Whole Soil Samples Using Laser-Induced Fluorescence Spectroscopy.SSSAJ 70:57–63, 2006 0.0 - 2.5 2.5 - 5.0 5.0 - 10.0 10.0 - 15.0 15.0 - 20.0 0.00009 0.00012 0.00015 0.00018 fluorescence/C cm NC NT CT
  • 56. AUTOMATED SOIL ANALYSIS Embrapa Instrumentation is using similar technology used by NASA in mission to Mars, that is Laser-induced breakdown spectroscopy- LIBS, that pemit multielemental analysis.
  • 57. SP-LIBS Ocean Optics Spectrometers manufactured by Ocean Optics model LIBS2500 spectral range: 188-980 nm Resolution: 0.1 nm Laser manufactured by Quantel model Big Sky Laser Ultra50 single-pulse energy 50 mJ pulse duration 8ns Delay time: 3 s
  • 58. NICOLODELLI, G.; MARANGONI, B. S.; CABRAL, J. S.; VILLAS-BOAS, P. R.; SENESI, G. S.; SANTOS, C. H.; ROMANO, R. A.; SEGNINI, A.; LUCAS, Y.; MONTES, C. R.; MILORI, D.M.B.P. Quantification of total carbon in soil using Laser-Induced Breakdown Spectroscopy (LIBS): a method to correct interference lines. Applied Optics, v. 53, n.10, p. 2170-2175, 2014 Applied Optics, vol 53, nº 10, p. 2170, 2014 58
  • 59. Pastureland and Native Forest Sites Pastureland without irrigation with high stocking rate (HSWI) Pastureland Degraded (DP) Pastureland under irigation with high stocking rate (HSI) Pastureland without irrigation with medium stocking rate (MSWI) Native Forest (NF)
  • 60. C stocks in different bovines stocking rate – detemined by LIBS 0 20 40 60 80 100 120 140 160 CarbonStock(Mgha-1) Management systems 30-100 0-30 HSI HSWI MSWI DP NF Segnini et al., 2019- Scientia Agricola, 76, n.1, 33-40.
  • 61. 61
  • 62. Beef Dairy Integrated systems Crop /Livestock/Forest Embrapa Pecuária Sudeste – Pecus experiments
  • 63. Integrated Crop-Livestock-Forest System Experiment began -2011 Soil samples collection-2016
  • 64. 30ha •Crop-livestock-forest (CLFS), CLS + Eucalyptus urograndis •Crop-livestock (CLS): corn intercropped with Palisade grass •Extensive (EXT): Signal grass pasture •Livestock-forest (LFS), Palisade grass + Eucalyptus urograndis •Intensive (INT): Palisade grass pasture)
  • 67. CLFs LFs Wood (4.5 years) 116 m3 102 m3 Trees growth (m3/ha) 0 20 40 60 80 100 120 140 01/04/12 18/10/12 06/05/13 22/11/13 10/06/14 27/12/14 15/07/15 31/01/16 Volume(m3) Data ILPF SSP CLFs LFs
  • 68. Summer Winter Total CLFs 284 84 369 LFs 322 90 412 CLs 338 164 502 EXT 179 86 264 INT 406 225 631 Bovine Weight gain (kg/ha)
  • 69. Variable Treatment INT LFs CLs CLFs EXT Weight (kg) 333,2 333,0 342,7 343,7 327,2 CH4 (g/d) 198,1 202,1 198,4 180,3 190,1 CH4 (kg/ano) 72,3 73,8 72,4 65,8 69,4 CH4BW (gCH4/kgBW) 0,596 0,610 0,579 0,527 0,586 Methane
  • 70. N2O (g/ha/day) CH4 (g/ha/day) CLFs 0.018 A 0.019 AB LFs 0.020 A 0.013 AB CLs 0.007B 0.032 AB EXT 0.021 A 0.067 A INT 0.007 A 0.067 A Alves, M.G.O. (2017)
  • 74.
  • 76.
  • 78.
  • 79.
  • 80.
  • 82.  Crop-Livestock System (CLS) with Native Forest (NT): - 0,50 1,00 1,50 2,00 2,50 3,00 3,50 4,00 0-5 cm 5-10 cm 10-20 cm 20-30 cm 30-40 cm 40-60 cm 60-80 cm 80-100 cm % Carbon Depth % C_NF % C_CLS - 100,00 200,00 300,00 400,00 500,00 600,00 700,00 0-5 cm 5-10 cm 10-20 cm 20-30 cm 30-40 cm 40-60 cm 60-80 cm 80-100 cm Humification Index (x10+3) Depth HLIFS_Native Forest HLIFS_CLS Carbon accumulation
  • 83.  Livestock-Forest System (LFS) with Native Forest (NT): distance 0.0m - 50,00 100,00 150,00 200,00 250,00 300,00 350,00 0-5 cm 5-10 cm 10-20 cm 20-30 cm 30-40 cm 40-60 cm 60-80 cm 80-100 cm Humification Index (x10+3)_Distance 0.0m Depth HLIFS_Native Forest HLIFS_LFS_0.0m - 0,50 1,00 1,50 2,00 2,50 3,00 3,50 4,00 0-5 cm 5-10 cm 10-20 cm 20-30 cm 30-40 cm 40-60 cm 60-80 cm 80-100 cm % Carbon_Distance 0.0m Depth % C_NF % C_LFS_0.0m Carbon accumulation
  • 84.  Livestock-Forest System (LFS) with Native Forest (NT): distance 7.5m - 50,00 100,00 150,00 200,00 250,00 300,00 350,00 0-5 cm 5-10 cm 10-20 cm 20-30 cm 30-40 cm 40-60 cm 60-80 cm 80-100 cm Humification Index (x10+3)_Distance 7.5m Depth HLIFS_Native Forest HLIFS_LFS_7.5m - 0,50 1,00 1,50 2,00 2,50 3,00 3,50 4,00 0-5 cm 5-10 cm 10-20 cm 20-30 cm 30-40 cm 40-60 cm 60-80 cm 80-100 cm % Carbon_Distance 7.5m Depth % C_NF % C_LFS_7.5m Carbon accumulation
  • 85.  Crop-Livestock-Forest System (CLFS) with Native Forest (NT): distance 0.0m - 50,00 100,00 150,00 200,00 0-5 cm 5-10 cm 10-20 cm 20-30 cm 30-40 cm 40-60 cm 60-80 cm 80-100 cm Humification Index (x10+3)_Distance 0.0m Depth HLIFS_Native Forest HLIFS_CLFS_0.0m - 0,50 1,00 1,50 2,00 2,50 3,00 3,50 4,00 4,50 0-5 cm 5-10 cm 10-20 cm 20-30 cm 30-40 cm 40-60 cm 60-80 cm 80-100 cm % Carbon_Distance 0.0m Depth % C_NF % C_CLFS_0.0m Carbon accumulation
  • 86.  Crop-Livestock-Forest System (CLFS) with Native Forest (NT): distance 7.5m - 20,00 40,00 60,00 80,00 100,00 120,00 140,00 160,00 180,00 0-5 cm 5-10 cm 10-20 cm 20-30 cm 30-40 cm 40-60 cm 60-80 cm 80-100 cm Humification Index (x10+3)_Distance 7.5m Depth HLIFS_Native Forest HLIFS_CLFS_7.5m - 0,50 1,00 1,50 2,00 2,50 3,00 3,50 4,00 4,50 0-5 cm 5-10 cm 10-20 cm 20-30 cm 30-40 cm 40-60 cm 60-80 cm 80-100 cm % Carbon_Distance 7.5m Depth % C_NF % C_CLFS_7.5m Carbon accumulation in detph
  • 87. Final Remarks - Long-term field experiments ICLF- soil C maps (LIBS), combined use of fractionation methods (physical and chemical), spectroscopic and chromatographic tools (LIFS, LIBS, 13C NMR, EPR, isotopic distribution 13C/12C) – to obtain detailed data on dynamic and reactivity of SOM - First results: 5 years experiment- comparison of SOM in ICLF with native vegetation- increase of SOM content and from Laser-induced fluorescence data- identification of incorporation of more humified organic compounds- intense biomass production (aerial and root systems) and biological activity; - Sustainable Intensification, as integrated crop-livestock-forest system- conciliation of increase soil produtivity and reduction of environmental impacts- carbon sequestration, more eficient use of natural and artificial resources, biodiversity increase, animal welfare (thermal comfort),...
  • 88. The Economist, August 28th 2010 “…But the availability of farmland is in fact only a secondary reason for the extraordinary growth in Brazilian agriculture. If you want the primary reason in three words, they are Embrapa, Embrapa, Embrapa.” Brazil's agricultural miracle How to feed the world
  • 89. Acknowledgments • Prof. Maria Rosa Mosquera Losada and Remedia network for kind invitation! • University of Santiago Compostela- campus Lugo – Vice- Rector Prof. Montserrat Valcárcel Armesto • Financial Support of Projects from Embrapa and Fapesp (São Paulo State Research Funding Agency) • To all of you for attention! • ladislau.martin@embrapa.br • www.embrapa.br/instrumentacao