Abstract
The Agricultural Model Intercomparison and Improvement Project (AgMIP) developed protocol-based methods for Regional Integrated Assessment (RIA) of agricultural systems. These methods have been applied by teams of scientists working with regional and national stakeholders across Sub-Saharan Africa and South Asia. This paper describes the data sets that were used to implement the AgMIP RIA methods for the Nioro region of Senegal. The goal of the RIA is to assess the potential impacts of climate change on the principal agricultural system in the Senegal peanut basin comprised of peanut, millet, maize and other minor crops and livestock, and to assess adaptations of that system to climate change, under current as well as future climate and socio-economic conditions. The data sets include: the Representative Agricultural Pathways (RAPs) developed for Nioro from 2000-2050; climate data used to implement crop yield simulations; the data used to parameterize the Agricultural Production Systems sIMulator (APSIM) and the Decision Support System for Agrotechnology Transfer (DSSAT) crop models, which include historical climate data and future climate scenarios; and the data used to parameterize the Tradeoff Analysis Model for Multi-dimensional Impact Assessment (TOA-MD) economic simulation model. The analysis is structured around four AgMIP “core questions'' of climate impact assessment.
Highlights
The Agricultural Model Intercomparison and Improvement Project (AgMIP; Rosenzweig et al, 2013) developed protocol-based methods for Regional Integrated Assessment (RIA) of agricultural systems (Antle et al 2015; Rosenzweig et al 2016)
The social-economic component is embodied in Representative Agricultural Pathways (RAPs) that are scenarios co-developed by scientists conducting the assessment and stakeholders who help define narratives for future conditions and quantify the variables needed as “drivers” or “boundary conditions” for the crop, livestock and economic modeling used in the RIA process
RAPs were developed for two scenarios, the “Green Road” representing a condition in which agricultural policies are focused on sustainable development, and the “Gray Road” in which agricultural growth has little consideration for agricultural sustainability (Valdivia et al, 2020)
Summary
The Agricultural Model Intercomparison and Improvement Project (AgMIP; Rosenzweig et al, 2013) developed protocol-based methods for Regional Integrated Assessment (RIA) of agricultural systems (Antle et al 2015; Rosenzweig et al 2016). The goal of the RIA is to assess the potential impacts of climate change on the principal agricultural system in the Senegal peanut basin comprised of peanut, millet, maize, and other minor crops and livestock, and to assess adaptations of that system to climate change, under current as well as future climate and socio-economic conditions This dataset includes: the Representative Agricultural Pathways (RAPs, Valdivia et al, 2015) developed for Nioro from 2000-2050; climate data used to implement crop yield simulations (included with crop modeling data); data used to parameterize two crop models: Agricultural Production Systems sIMulator (APSIM; www.APSIM.info; Holzworth et al, 2014; Keating et al, 2003) and the Decision Support System for Agrotechnology Transfer (DSSAT; www.DSSAT.net; Hoogenboom et al, 2019a, 2019b, Jones et al, 2003) crop models, including historical climate data and future climate scenarios (Ruane et al, 2015a); and. The data used to parameterize the Tradeoff Analysis Model for Multi-dimensional Impact Assessment (TOA-MD; Antle et al, 2014; Antle and Valdivia 2020) economic simulation model
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