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GSOCseq- Global Soil Organic Carbon Sequestration Potential Map
The GSOCseq is to fill a big gap, simulate soil organic carbon
stocks over a 20–year period in agricultural lands and quantify the
soil organic carbon sequestration potential under different
sustainable soil management and business as usual (BAU)
scenarios at national scale and eventually will give us a global
perspective and understanding of critical role of soils in major
global issues.
GSOCseq Approach
Low carbon inputs
sustainable soil
management
scenario
SSM1
SOCseq SSM1
Medium carbon
inputs sustainable
soil management
scenario
SSM2
SOCseq SSM2
High carbon inputs
sustainable soil
management
scenario
SSM3
SOCseq SSM3
Business as usual
BAU
SOCseq BAU
BAU scenario refers to the land use, land
management, production practices or
technologies that are currently being
implemented in croplands and grazing
lands.
GSOCseq- Global Soil Organic Carbon Sequestration Potential Map
Entire process is country-driven, continuous, participatory,
based on and guided by the best available science, rigorous
collection and analysis of appropriate data, and consideration of
experiences and good practices within, and outside, countries.
● Set attainable and evidence based national
targets for carbon sequestration;
● Achieve their commitments to the LDN
Target Setting Programme implemented by the
UNCCD;
● Simulate national soil organic carbon stocks
under Business as Usual (BAU) and different
sustainable soil management scenarios;
● Identify which regions, soil types and
production systems have greater risks of
decreasing and which with greater potential
to increase SOC stocks, in order to establish
priorities for research and implementation of
public policies;
GSOCseq - ADDED VALUE & BENEFITS
● Support policy making in adoption of SSM
practices that foster SOC sequestration at
national scale;
● Improve technical capacities on sustainable
soil management, soil data management,
digital soil mapping and modelling.
● Improve soil health as an integral step
towards achieving the Sustainable
Development Goals (SDGs), specifically the
Goals on zero hunger (SDG 2), climate
action (SDG 13), and life on land (SDG 15).
● Support the provision of incentives to
farmers implementing SOC-centred SSM
practices
Planning
Feasibility, Methodologies, Technical Specifications and Country
Guidelines, Reviewing, INSII/NFP Expert nomination
2019-2020
Technical Development
Cookbook (Technical Manual), Modelling Environment, Script,
Training Materials
Q1-Q4 2020
GSOCseq V1.0Q1 2021
Capacity Development & Production
Regional Training Sessions. Technical Manual
Q4 2020
GSOCseq
Development
Process
GSOCseq - Technical Specifications & Guidelines
P4WG - Pillar 4 Working Group
INSII - International Network of Soil Information Institutions
ITPS - Intergovernmental Technical Panel on Soils
4per1000 SCT - 4 per 1000 Scientific and Technical Committee
CIRCASA - Coordination of International Research Cooperation on Soil
Carbon Sequestration in Agriculture
UNCCD-SPI - The UNCCD Science-Policy Interface
Technical specifications and country guidelines for Global Soil Organic Carbon
Sequestration Potential Map was developed through an extensive research and
consultation process, involving scientists, policy makers, FAO members, and
international and intergovernmental panels, providing a background, product
specifications and deliverables.
GSOCseq - Technical Specifications & Guidelines
➔Product Specifications
➔Procedures
➔Data requirements
➔Data Sources
➔Quality Assurance/Quality Check
➔Data Policy
➔Delivery Process
GSOCseq - Overview product specifications
Products
● Absolute average sequestration rates over 20 years (t C ha-1 yr-1), for BAU, SSM1,
SSM2 and SSM3 scenarios
● Mean relative sequestration rates over 20 years (t C ha-1 yr-1), for SSM1, SSM2 and
SSM3 scenarios
● Initial SOC stocks at t0 (t C ha-1)
● Uncertainty maps
● Supplementary national maps
Depth 0-30 cm
Uncertainty 95% confidence interval
Documentati
on
Metadata (Metafile)
Delivery Online (GSP Data Submission Tool)
GSOCseq - Input data requirements
Data Variables
Climatic data
Monthly air temperature
Monthly evapotranspiration/pan evaporation
Monthly precipitation + irrigation
Soil data
Topsoil clay content (0-30 cm)
Current Soil organic carbon stocks (0-30 cm)
Land use/cover
Predominant land use/cover, re-classified into:
Minimum: 3 default classes required by model:
agricultural crops, grassland/shrubland/savannas
and forestry
Optimum: 11 classes defined in the FAO Global
Land Cover - SHARE (GLC-SHARE)
Monthly vegetation cover.
Obtained from national statistics/local expert
knowledge; or derived from NDVI or spectral
indexes (see section 3.3.4)
GSOCseq Capacity Development
Regional Trainings in all GSP Regions
● Latin America (ES)
● The Caribbean and North America (EN)
● Europe (EN)
● Eurasia (RUS)
● Asia (EN)
● Africa (EN/FR)
● North Africa and Near East (EN/FR)
● Pacific (EN)
GSOCseq Expert Nomination
5 days
(Training)
MODULE I
● Day 1 - Introduction: General framework (BAU, SSM1-SSM2-SSM3), Product
specifications,
● Day 2 - Introduction to sequestration modelling (RothC Basics), Input data
requirements, uncertainties, software and tools
● Day 3 - Introduction to R and start running the script (Scripts 0 to 5)
● Day 4 - Scripts 6-9
● Day 5 - Review and interpretation of the results and QA, Preparation instructions
for the next session
5 days
(Production)
MODULE II
● Day 1 - National Input Data
● Day 2 - Running the script from 0 - 7
● Day 3 - Running the script from 8-9
● Day 4 - Running the script from 8-9
● Day 5 - Writing rasters, packing, submission procedure etc
CAPACITY BUILDING
GSOCseq - Technical Manual (AKA Cookbook)
● STEP by STEP Instructions
● Sample Data
● Workflow
○ Setting up Modelling
Environment
○ Data Preparation
○ Modelling
○ Uncertainty Assessment
GSOCseq - Modelling
● The GSOCseq Script is
ready
● Tested (Argentina, Costa Rica)
● Being tested (P4WG)
Challenges & Limitations
• Computational Capacities
• National Inputs (Land Use/Cover, Climate, Texture, SOC)
• Depth
Item ii ib. global soil organic carbon sequestration map (gsocseq)   yusuf yigini

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Item ii ib. global soil organic carbon sequestration map (gsocseq) yusuf yigini

  • 1.
  • 2. GSOCseq- Global Soil Organic Carbon Sequestration Potential Map The GSOCseq is to fill a big gap, simulate soil organic carbon stocks over a 20–year period in agricultural lands and quantify the soil organic carbon sequestration potential under different sustainable soil management and business as usual (BAU) scenarios at national scale and eventually will give us a global perspective and understanding of critical role of soils in major global issues.
  • 3. GSOCseq Approach Low carbon inputs sustainable soil management scenario SSM1 SOCseq SSM1 Medium carbon inputs sustainable soil management scenario SSM2 SOCseq SSM2 High carbon inputs sustainable soil management scenario SSM3 SOCseq SSM3 Business as usual BAU SOCseq BAU BAU scenario refers to the land use, land management, production practices or technologies that are currently being implemented in croplands and grazing lands.
  • 4. GSOCseq- Global Soil Organic Carbon Sequestration Potential Map Entire process is country-driven, continuous, participatory, based on and guided by the best available science, rigorous collection and analysis of appropriate data, and consideration of experiences and good practices within, and outside, countries.
  • 5. ● Set attainable and evidence based national targets for carbon sequestration; ● Achieve their commitments to the LDN Target Setting Programme implemented by the UNCCD; ● Simulate national soil organic carbon stocks under Business as Usual (BAU) and different sustainable soil management scenarios; ● Identify which regions, soil types and production systems have greater risks of decreasing and which with greater potential to increase SOC stocks, in order to establish priorities for research and implementation of public policies; GSOCseq - ADDED VALUE & BENEFITS ● Support policy making in adoption of SSM practices that foster SOC sequestration at national scale; ● Improve technical capacities on sustainable soil management, soil data management, digital soil mapping and modelling. ● Improve soil health as an integral step towards achieving the Sustainable Development Goals (SDGs), specifically the Goals on zero hunger (SDG 2), climate action (SDG 13), and life on land (SDG 15). ● Support the provision of incentives to farmers implementing SOC-centred SSM practices
  • 6. Planning Feasibility, Methodologies, Technical Specifications and Country Guidelines, Reviewing, INSII/NFP Expert nomination 2019-2020 Technical Development Cookbook (Technical Manual), Modelling Environment, Script, Training Materials Q1-Q4 2020 GSOCseq V1.0Q1 2021 Capacity Development & Production Regional Training Sessions. Technical Manual Q4 2020 GSOCseq Development Process
  • 7. GSOCseq - Technical Specifications & Guidelines P4WG - Pillar 4 Working Group INSII - International Network of Soil Information Institutions ITPS - Intergovernmental Technical Panel on Soils 4per1000 SCT - 4 per 1000 Scientific and Technical Committee CIRCASA - Coordination of International Research Cooperation on Soil Carbon Sequestration in Agriculture UNCCD-SPI - The UNCCD Science-Policy Interface Technical specifications and country guidelines for Global Soil Organic Carbon Sequestration Potential Map was developed through an extensive research and consultation process, involving scientists, policy makers, FAO members, and international and intergovernmental panels, providing a background, product specifications and deliverables.
  • 8. GSOCseq - Technical Specifications & Guidelines ➔Product Specifications ➔Procedures ➔Data requirements ➔Data Sources ➔Quality Assurance/Quality Check ➔Data Policy ➔Delivery Process
  • 9. GSOCseq - Overview product specifications Products ● Absolute average sequestration rates over 20 years (t C ha-1 yr-1), for BAU, SSM1, SSM2 and SSM3 scenarios ● Mean relative sequestration rates over 20 years (t C ha-1 yr-1), for SSM1, SSM2 and SSM3 scenarios ● Initial SOC stocks at t0 (t C ha-1) ● Uncertainty maps ● Supplementary national maps Depth 0-30 cm Uncertainty 95% confidence interval Documentati on Metadata (Metafile) Delivery Online (GSP Data Submission Tool)
  • 10. GSOCseq - Input data requirements Data Variables Climatic data Monthly air temperature Monthly evapotranspiration/pan evaporation Monthly precipitation + irrigation Soil data Topsoil clay content (0-30 cm) Current Soil organic carbon stocks (0-30 cm) Land use/cover Predominant land use/cover, re-classified into: Minimum: 3 default classes required by model: agricultural crops, grassland/shrubland/savannas and forestry Optimum: 11 classes defined in the FAO Global Land Cover - SHARE (GLC-SHARE) Monthly vegetation cover. Obtained from national statistics/local expert knowledge; or derived from NDVI or spectral indexes (see section 3.3.4)
  • 11. GSOCseq Capacity Development Regional Trainings in all GSP Regions ● Latin America (ES) ● The Caribbean and North America (EN) ● Europe (EN) ● Eurasia (RUS) ● Asia (EN) ● Africa (EN/FR) ● North Africa and Near East (EN/FR) ● Pacific (EN)
  • 13. 5 days (Training) MODULE I ● Day 1 - Introduction: General framework (BAU, SSM1-SSM2-SSM3), Product specifications, ● Day 2 - Introduction to sequestration modelling (RothC Basics), Input data requirements, uncertainties, software and tools ● Day 3 - Introduction to R and start running the script (Scripts 0 to 5) ● Day 4 - Scripts 6-9 ● Day 5 - Review and interpretation of the results and QA, Preparation instructions for the next session 5 days (Production) MODULE II ● Day 1 - National Input Data ● Day 2 - Running the script from 0 - 7 ● Day 3 - Running the script from 8-9 ● Day 4 - Running the script from 8-9 ● Day 5 - Writing rasters, packing, submission procedure etc CAPACITY BUILDING
  • 14. GSOCseq - Technical Manual (AKA Cookbook) ● STEP by STEP Instructions ● Sample Data ● Workflow ○ Setting up Modelling Environment ○ Data Preparation ○ Modelling ○ Uncertainty Assessment
  • 15. GSOCseq - Modelling ● The GSOCseq Script is ready ● Tested (Argentina, Costa Rica) ● Being tested (P4WG)
  • 16. Challenges & Limitations • Computational Capacities • National Inputs (Land Use/Cover, Climate, Texture, SOC) • Depth