CARBON SEQUESTRATION POTENTIAL IN SMALLHOLDER FARMING SYSTEMS IN NORTHERN GHANA Jawoo Koo 1, J.B. Naab 2, J.W. Jones 1, W.M. Bostick 1 and K.J. Boote 3.

Slides:



Advertisements
Similar presentations
Agricultural modelling and assessments in a changing climate
Advertisements

Managing maize-based cropping systems to increase soil carbon in northern Ghana J.B. Naab 1, J.W. Jones 2, J. Koo 2, and K.J. Boote 3 1 Savanna Agricultural.
Simulating Cropping Systems in the Guinea Savanna Zone of Northern Ghana with DSSAT-CENTURY J. B. Naab 1, Jawoo Koo 2, J.W. Jones 2, and K. J. Boote 2,
© Crown copyright Met Office 2011 Climate impacts on UK wheat yields using regional model output Jemma Gornall 1, Pete Falloon 1, Kyungsuk Cho 2,, Richard.
Economic Potential for Soil Carbon Sequestration in the Nioro Region of Senegal’s Peanut Basin by John Antle, Bocar Diagana, Jetse Stoorvogel and Kara.
Zhengxi Tan *,1,2, Shuguang Liu 2, Carol A. Johnston 1, Thomas R. Loveland 3 Jinxun Liu 4, Rachel Kurtz 3, and Larry Tieszen 3 1 South Dakota State University,
Balancing Biomass for Bioenergy and Conserving the Soil Resource Jane Johnson USDA-ARS- North Central Soil Conservation Research Laboratory.
Optimizing Crop Management Practices with DSSAT. Our Goal With increasing population and climate change, the ability to maximize crop production is essential.
Effect of the Conservation Reserve Program (CRP) on Soil Carbon By Jay D. Atwood Steven R. Potter Jimmy R. Williams M. Lee Norfleet 22 March 2005 Atwood.
Introduction The agricultural practice of field tillage has dramatic effects on surface hydrologic properties, significantly altering the processes of.
A Framework for Integrating Remote Sensing, Soil Sampling, and Models for Monitoring Soil Carbon Sequestration J. W. Jones, S. Traore, J. Koo, M. Bostick,
Additional Questions, Resources, and Moving Forward Science questions raised in the development of a science assessment Effect of Conservation Tillage.
By Kudzai F. Ndidzano Limpopo Basin Development Challenge (LBDC)
Soil Carbon and Agricultural Land Management in Semi-Arid Central Spain Darcy Boellstorff Assistant Professor, Bridgewater State College, Massachusetts.
W. McNair Bostick, Oumarou Badini, James W. Jones, Russell S. Yost, Claudio O. Stockle, and Amadou Kodio Ensemble Kalman Filter Estimation of Soil Carbon.
PEARL MILLET’S ROOT LENGTHS AND YIELDS UNDER CONVENTIONAL AND CONSERVATION TILLAGE METHODS IN OGONGO, NAMIBIA. Mudamburi B, Ogunmokun A & Kachigunda B.
A farm-level analysis for carbon sequestration in Ghana using IMPACT linked with the DSSAT, Household and Ruminant models E. González-Estrada 1, V.K. Walen.
Introduction The agricultural practice of field tillage has dramatic effects on surface hydrologic properties, significantly altering the processes of.
INTRODUCTION Weather and climate remain among the most important variables involved in crop production in the U.S. Great Lakes region states of Michigan,
1 Soil Carbon Sequestration: Long-term Effect of Tillage and Rotations Charles W. Rice and Karina Fabrizzi October 28-30, 2008 Kansas State University.
Division Afrique Enhancing integrated soil fertility management through the carbon market to combat resource degradation in overpopulated Sahelian countries.
Measuring Carbon Co-Benefits of Agricultural Conservation Policies: In-stream vs. Edge-of-Field Assessments of Water Quality. Measuring Carbon Co-Benefits.
Vulnerability and Adaptation Assessments Hands-On Training Workshop Impact, Vulnerability and Adaptation Assessment for the Agriculture Sector – Part 2.
Kearney Foundation of Soil Science
Sustainable intensification based CA for sustainable food security and poverty reduction: Initial evidences from SIMLESA Mulugetta Mekuria – SIMLESA Program.
Tradeoff Analysis: From Science to Policy John M. Antle Department of Ag Econ & Econ Montana State University.
Agricultural Production Systems Simulator (APSIM) Simulates: v yield of crops, pastures, trees, weeds... v key soil processes (water, N, P, carbon, pH)
Case Study 1 Canadian Prairies: Soil C management Biophysical information M. Boehm, B. McConkey & H. Janzen Agriculture and Agri-Food Canada How can we.
Scaling up Crop Model Simulations to Districts for Use in Integrated Assessments: Case Study of Anantapur District in India K. J. Boote, Univ. of Florida.
SOIL CONDITION INDEX – (SCI) AS AN INDICATOR OF THE SOIL ORGANIC MATTER DYNAMICS AT THE FARM BUTMIR NEAR SARAJEVO Prof. Dr. Hamid Čustović Tvica Mirza.
Soil carbon in dynamic land use optimization models Uwe A. Schneider Research Unit Sustainability and Global Change Hamburg University.
Organic agriculture – a option for mitigation and adaptation Urs Niggli.
InVEST Tier 1 Carbon Model. In the Tier 1 model we estimate carbon stock as a function of land use / land cover. Storage indicates the mass of carbon.
No-till and continuous cropping system studies in semiarid Montana to measure soil C sequestration Ryan Feddema 1, Rick Engel 1, Perry Miller 1, Ross Bricklemyer.
Comparison of Regional and NuMaSS Fertilizer Rates in On-station and On-farm Trials in Northern Ghana Jesse B. Naab 1, C. Yamoah 2, R. Yost 3 and R.A.
Acknowledgements: This research was supported by the USDA-ARS Specific Cooperative Agreement Biologically Based Weed Management for Organic Farming Systems.
Peter Motavalli Dept. of Soil, Environ. and Atmos. Sci. University of Missouri SOILS AND CLIMATE: CONSEQUENCES CONSEQUENCES.
Modeling experience of non- point pollution: CREAMS (R. Tumas) EPIC (A. Povilaitis and R.Tumas SWRRBWQ (A. Dumbrauskas and R. Tumas) AGNPS (Sileika and.
Sequestering and Measuring Soil Carbon: Prairie Soil Carbon Balance Project Brian McConkey 1 *, Chang Liang 2,, Glenn Padbury 1, Arlan Frick 3,Wayne Lindwall.
Increasing the profitability of Legume production in Mozambique through Technology discovery, Development and Delivery linked to Markets Progress for
1 Impact of uncertainty of land management practices on carbon sequestration Brian McConkey April 8, 2009.
Introduction Studies of adaptation to current climate make it clear that farmers’ activities are not now always as well adapted to climate as they might.
Using the Soil Conditioning Index to Assess Management Effects on Soil Carbon USDA Natural Resources Conservation Service Soil Quality National Technology.
Climate impacts on UK wheat yields using regional model output
Site Description This research is being conducted as a part of the Detritus Input and Removal Treatments Project (DIRT), a cross-continental experiment.
Introduction Conservation of water is essential to successful dryland farming in the Palouse region. The Palouse is under the combined stresses of scarcity.
Modelling the optimal phosphate fertiliser and soil management strategy for crops James Heppell August 2014.
Agriculture, Carbon & the climate CO 2 & climate change Moberg et al Source of C emissions Change in temperature & rainfall.
Figure 3. Concentration of NO3 N in soil water at 1.5 m depth. Evaluation of Best Management Practices on N Dynamics for a North China Plain C. Hu 1, J.A.
Effect of Watershed (ACN) and Fertilizer Management on Soil Organic Carbon (SOC) Conservation in Maize-based cropping systems in The Gambia.
Pre-workshop exercise on SOC stock simulation / calibration of DNDC Steven Sleutel Dept. Soil Management & Soil Care Ghent University.
2/1/20161 Soil Carbon Sequestration Methods and Tools for Measurement, Monitoring and Verification Charles W. Rice University Distinguished Professor Department.
Dr. Joe T. Ritchie Symposium : Evaluation of Rice Model in Taiwan Authors : Tien-Yin Chou Hui-Yen Chen Institution : GIS Research Center, Feng Chia University,
National Assessment for Cropland. Analytical Approach Sampling and modeling approach based on a subset of NRI sample points. Farmer survey conducted to.
Uncertainty analysis of carbon turnover time and sequestration potential in terrestrial ecosystems of the Conterminous USA Xuhui Zhou 1, Tao Zhou 1, Yiqi.
Photo: David Brazier/IWMI Photo :Tom van Cakenberghe/IWMI Photo: David Brazier/IWMI Water for a food-secure world W. Mekuria, A. Noble, C.T.
George W. Norton and Abigail Nguema Presented at the SANREM CRSP Annual Meeting Cincinnati, Ohio October 20, 2012.
Contribution of fungi activity for N 2 O emission in no-tillage with cover crop fields Zhaorigetu 1,2, T.Nishizawa 2, Y.Sato 2, M.Komatsuzaki 1, H.Ohta.
Responses of ecosystem carbon stocks to changes in land use, management, and climate in Ghana Climate Scenarios for the 21st Century 1.No Climate Change.
Simulated Sorghum Grain and Biomass Yield, Water Use, Soil Erosion and Carbon Evolution, and Potential Ethanol Production in Central and South Texas Manyowa.
The population of the Alumbre river sub-watershed in Bolivar, Ecuador (Fig. 1) is increasingly invading fragile areas of the high plains of the Andes (the.
Promising CSA Technologies and Their Potential Impacts Jawoo Koo and Cindy Cox IFPRI.
Greenhouse Gases Emission and Carbon Sequestration in Agro-Ecosystems under Long-Term No-Till: Implications for Global Warming Mitigation Pierre-André.
Managing Tillage and FYM for Enhancing Maize Production and Soil Properties in Mid-hills of Nepal Pudasaini, R. and Pande, K. R. Presenter: Roshan Pudasaini.
Reduced tillage and cover crops as a strategy for mitigating atmospheric CO2 increase through soil organic carbon sequestration in dry Mediterranean agroecosystems.
Soil Carbon – What does it mean?
Felix Badoloa, Bekele Kotub, and Birhanu Zemadim Birhanua
conservation agriculture
Karolien Denef1, Catherine Stewart2, John Brenner3, Keith Paustian4
Figure 1. Long term annual precipitation received at Bird City, Kansas
Presentation transcript:

CARBON SEQUESTRATION POTENTIAL IN SMALLHOLDER FARMING SYSTEMS IN NORTHERN GHANA Jawoo Koo 1, J.B. Naab 2, J.W. Jones 1, W.M. Bostick 1 and K.J. Boote 3

INTRODUCTION Agriculture is thought to play a critical role in sequestering carbon in soils. Increases in soil C sequestration may be achieved by adoption of best management practices such as no tillage, fertilization, irrigation, residue management. Determination of the best management practices that can increase soil carbon will require long term field experimentation and evaluation relative to soil type and climate.

Introduction….cont. In developing countries, such long term experiments are difficult to conduct because of socio-economic constraints. An alternative approach is to use simulation models to quantify the potential of different management options used by farmers over long term, across soil types and weather to sequester soil carbon. However, to provide useful information to researchers and policy makers, the models must be capable of quantifying crop performance in environments where they are to be used. Thus, it is necessary to adapt the models to soil, climate, and cropping systems of interest and to evaluate predictions from the model relative to local data.

Introduction…cont. Gijsman et al. (2002) modified the DSSAT crop simulation models to incorporate a soil organic matter- residue module from the CENTURY model. The combined model, DSSAT-CENTURY, has become a more suitable model for simulating low-input systems and conducting long-term sustainability analyses. However, if model parameters for specific field situations are uncertain, estimations of soil carbon evolution are inevitably uncertain as well.

OBJECTIVE To estimate the regionally aggregated soil carbon sequestration potential in smallholders’ cropping systems in Northern Ghana using DSSAT-CENTURY cropping systems model and scenario analyses.

Materials and Methods Study Area Covered and area of about 18 km Annual rainfall of about 1000 mm Guinea savanna vegetation Surveyed 132 farmers’ fields in 2004 and 2006 Predominantly sandy soil texture (78% sand) Depleted soil organic carbon (median = 0.44%) Cropping history and management practices

Simulation Model & Input Data Used the DSSAT-CENTURY model to simulate crop growth and soil carbon dynamics Simulation time period – 20 years (2006 – 2025) Weather data: stochastically generated using Weatherman program based on 8 yrs daily data Soil data: soil profile (1 m depth) for each field was generated using the SBuild program based on the soil carbon & texture measured in 2006 Nitrogen in rainfall: annual additions of 5 kg [N] ha -1 to soils in each cropping season was assumed Manure addition

Simulation Model & Input Data..cont. Genetic coefficients Sorghum (CSM388): Folliard et al (2004) Maize (cv. Obatanpa): J.B. Naab (unpublished) Millet: ICRISAT-Mali Peanut (cv. Chinese): Naab et. al. (2004) Bush fallow: V.K. Walen (unpublished) Soil Organic Matter Pools 3 soil organic matter pools - SOM1:SOM2:SOM3 Estimated using data from long term experiments in Burkina

Simulation Model & Input Data…cont. Cropping sequence Projected cropping sequence in each field created for the simulation period One step transition matrix of crops calculated from surveyed cropping history Stochastically created cropping sequences for all fields using Markov Chain Monte Carlo method Scenario Analyses 5 scenarios 1 representative field was chosen and continuous cultivation of each crop simulated for each scenario

Table 1: Simulated management practices Scenario (Abbreviation) TillageFertilization Residue Removal Cereal s Legume s Bush Fallow Business-As- Usual (BAU) Hand-hoeing at 20 cm No fertilization100%75%100% No-Till (NTL) No-TillNo fertilization25% Fertilization (FRT) Hand-hoeing at 20 cm Sorghum: 20 kg[N]/ha/yr Maize: 40 kg[N]/ha/yr Millet: 20 kg[N]/ha/yr Peanut: No fertilization Bush Fallow: No fertilization 100%75%100% Leaving Residues (RSD) Hand-hoeing at 20 cm No fertilization25% Recommended Management Practice (RMP) No-TillMaize: 40 kg[N]/ha/yr Sorghum: 20 kg[N]/ha/yr Millet: 20 kg[N]/ha/yr Bush Fallow: No fertilization 25%

Soil Carbon Sequestration Rate The yearly soil carbon sequestration rate for each scenario in each field was calculated based on the soil carbon evolution under the BAU scenario as follows: where n is the number of years simulated, TRT n is the amount of SOC for each scenario in year n (kg/ha), and BAU n is the amount of SOC for the BAU scenario in year n (kg/ha).

Figure 1.Simulated aboveground vegetative biomass from continuous mono- cropping systems at a representative field in the study area for different management scenarios

Figure 2. Average aboveground crop vegetative biomass enhancement under the simulated management scenarios for the continuous mono-cropping system of each crop for 20 years. Error bar represents one standard deviation.

Figure 3. Simulated evolution of soil organic carbon to 20 cm depth for continuous mono-cropping systems under different management scenarios at a representative field in the study area for 20 years

Figure 4. Average soil organic carbon enhancement under the simulated management scenarios for the continuous mono-cropping system of each crop for 20 years. Error bar represents one standard deviation

Figure 5. Evolution of simulated soil carbon in three representative fields with the maximum, median, and minimum soil carbon sequestration rates.

Figure 6. Evolution of simulated soil carbon aggregated over 132 farmers’ fields in the study area in Wa, Ghana, for 20 years

Figure 7. Mean and standard deviation of the aggregated soil carbon sequestration rates and the crop biomass increase rates under different management scenarios

Summary and Conclusions Scenario analyses showed the potential of soil carbon sequestration when recommended management practices such as fertilization, conserving residues, and no-till are adopted When recommended practices were adopted, the regionally aggregated soil carbon sequestration rate was estimated to be 173 kg [SOC]/ha/yr This value was within the upper range of published estimates (50 to 200 kg [SOC]/ha/yr made by Lal (2003a)

Summary and Conclusions Small doses of fertilizer applications showed significant aboveground biomass production in cereals, but they did not benefit soil carbon sequestration without changes in residue management and tillage practices. Solely relying on fertilizer showed the least potential in sequestering soil carbon. When fertilization is not a feasible option, the most effective management practice to sequester soil carbon would be no-till farming.

Summary and Conclusions Although average crop biomass production under no-till was less than a tilled system, the soil carbon sequestration potential under no-till was significantly higher than a tilled system (α=0.05). Simulated results showed that elimination of bush fallows may be more beneficial to increase soil carbon sequestration, when crop residues are left and no-till adopted. Although overall results showed positive potential of adopting conservation tillage and/or residue management practices, adopting them in real smallholder farming systems will be difficult unless negative barriers are removed.