Exploring future changes in smallholder farming systems by linking socio-economic scenarios with regional and household models

We explore how smallholder agricultural systems in the Kenyan highlands might intensify and/or diversify in the future under a range of socio-economic scenarios. Data from approximately 3000 households were analyzed and farming systems characterized. Plausible socio-economic scenarios of how Kenya might evolve, and their potential impacts on the agricultural sector, were developed with a range of stakeholders. We study how different types of farming systems might increase or diminish in importance under different scenarios using a land-use model sensitive to prices, opportunity cost of land and labour, and other variables. We then use a household model to determine the types of enterprises in which different types of households might engage under different socio-economic conditions. Trajectories of intensification, diversification, and stagnation for different farming systems are identified. Diversification with cash crops is found to be a key intensification strategy as farm size decreases and labour costs increase. Dairy expansion, while important for some trajectories, is mostly viable when land available is not a constraint, mainly due to the need for planting fodders at the expense of cropland areas. We discuss the results in relation to induced innovation theories of intensification. We outline how the methodology employed could be used for integrating global and regional change assessments with local-level studies on farming options, adaptation to global change, and upscaling of social, environmental and economic impacts of agricultural development investments and interventions.

[1]  Gerrit Hoogenboom,et al.  IMPACT: Generic household-level databases and diagnostics tools for integrated crop-livestock systems analysis , 2007 .

[2]  James W. Jones,et al.  The DSSAT cropping system model , 2003 .

[3]  Peter H. Verburg,et al.  Characterization of the spatial distribution of farming systems in the Kenyan Highlands , 2010 .

[4]  Erin Bohensky,et al.  Young Scholars Dialogue, part of a Special Feature on Scenarios of global ecosystem services Linking Futures across Scales: a Dialog on Multiscale Scenarios , 2007 .

[5]  John M. Antle,et al.  A method for evaluating climate change adaptation strategies for small-scale farmers using survey, experimental and modeled data , 2012 .

[6]  Joost Vervoort,et al.  Participatory scenarios as a tool to link science and policy on food security under climate change in East Africa , 2013, Regional Environmental Change.

[7]  James W. Jones,et al.  The Agricultural Model Intercomparison and Improvement Project (AgMIP): Protocols and Pilot Studies , 2013 .

[8]  Herman van Keulen,et al.  Resource use dynamics and interactions in the tropics: Scaling up in space and time , 2006 .

[9]  Millenium Ecosystem Assessment Ecosystems and human well-being: synthesis , 2005 .

[10]  Keith C. Clarke,et al.  The Use of Scenarios in Land-Use Planning , 2003 .

[11]  Thomas Henrichs,et al.  Linking scenarios across geographical scales in international environmental assessments , 2007 .

[12]  James W. Jones,et al.  Carbon sequestration and farm income in West Africa: Identifying best management practices for smallholder agricultural systems in northern Ghana , 2008 .

[13]  Anne Tolvanen,et al.  Local People, Nature Conservation, and Tourism in Northeastern Finland , 2008 .

[14]  M. V. Asselt,et al.  An updated scenario typology , 2003 .

[15]  Kasper Kok,et al.  Methods for Developing Multiscale Participatory Scenarios: Insights from Southern Africa and Europe , 2007 .

[16]  P. Thornton Livestock production: recent trends, future prospects , 2010, Philosophical Transactions of the Royal Society B: Biological Sciences.

[17]  Axel Volkery,et al.  Your Vision or My Model? Lessons from Participatory Land Use Scenario Development on a European Scale , 2008 .

[18]  Keith D. Shepherd,et al.  Bio-economic evaluation of farmers' perceptions of viable farms in western Kenya , 2006 .

[19]  M. Herreroa,et al.  Integrated crop – livestock simulation models for scenario analysis and impact assessment , 2001 .

[20]  M. M. Waithaka,et al.  Crop-livestock intensification and interaction across three continents , 2003 .

[21]  A. Kinzig,et al.  Guest Editorial, part of a Special Feature on Exploring Resilience in Social-Ecological Systems Exploring Resilience in Social-Ecological Systems Through Comparative Studies and Theory Development: Introduction to the Special Issue , 2006 .

[22]  J. McIntire,et al.  Crop-livestock interaction in Sub-Sarahan Africa , 1992 .

[23]  M. Waithaka,et al.  A participatory rapid appraisal of farming systems in western Kenya , 2000 .

[24]  A. Kinzig,et al.  Resilience and Regime Shifts: Assessing Cascading Effects , 2006 .

[25]  Steve Wiggins,et al.  Can the smallholder model deliver poverty reduction and food security , 2009 .

[26]  Mario Herrero,et al.  Integrated crop-livestock simulation models for scenario analysis and impact assessment , 2001 .

[27]  M. Herrero,et al.  An integrated evaluation of strategies for enhancing productivity and profitability of resource-constrained smallholder farms in Zimbabwe , 2009 .

[28]  Louis Lebel,et al.  Guest Editorial, part of a Special Feature on Scale and Cross-scale Dynamics Scale and Cross-Scale Dynamics: Governance and Information in a Multilevel World , 2006 .

[29]  P. K. Thornton,et al.  A generic household model for assessing the impact of interventions in crop-livestock systems. Paper for presentation at the 17th Symposium of the International Farming Systems Association, Lake Buena Vista, Florida. 17-20 November 2002. , 2002 .

[30]  Esther Eidinow,et al.  Evolving practices in environmental scenarios: a new scenario typology , 2008 .

[31]  Joseph Alcamo,et al.  Chapter Six The SAS Approach: Combining Qualitative and Quantitative Knowledge in Environmental Scenarios , 2008 .

[32]  M. Upton Crop-livestock interaction in sub-Saharan Africa: J. McIntire, D. Bourzat and P. Pingali. The World Bank, Washington, DC, 1992. 246 pp. Price: $ 15.95 (Paperback). ISBN 0-8213-2166-8 , 1994 .

[33]  P. K. Thornton,et al.  Smart Investments in Sustainable Food Production: Revisiting Mixed Crop-Livestock Systems , 2010, Science.

[34]  PETER H. VERBURG,et al.  Modeling the Spatial Dynamics of Regional Land Use: The CLUE-S Model , 2002, Environmental management.

[35]  W. R. Thorpe,et al.  Smallholder dairy systems in the Kenya highlands: breed preferences and breeding practices , 2003 .

[36]  Kasper Kok,et al.  Combining participative backcasting and exploratory scenario development: Experiences from the SCENES project , 2011 .

[37]  E. Boserup The conditions of agricultural growth: The economics of agrarian change under population pressure , 1966 .

[38]  J. Powell,et al.  Livestock, nutrient cycling, and sustainable agriculture in the West African Sahel , 1993 .