Person: Laderach, P.
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Laderach
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Laderach, P.
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0000-0001-8708-6318 9 results
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- Chapter 7. The climate–security nexus Securing resilient livelihoods through early warning systems and adaptive safety nets(Cambridge University Press, 2023) Laderach, P.; Schapendonk, F.; Shirsath, P.B.; Amarnath, G.; Prager, S.D.; Gummadi, S.; Kramer, B.; Govind, A.; Pacillo, G.
Publication - Climate security in the dry corridor of Latin America(CIMMYT, 2021) Laderach, P.; Kommerell, V.; Schapendonk, F.; Van Loon, J.; Martinez-Baron, D.; Castellanos, A.; González, C.E.; Vega, D.; Ramirez-Villegas, J.; Achicanoy, H.; Madurga-Lopez, I.; Dutta Gupta, T.; Carneiro, B.; Resce, G.; Ruscica, G.; Pacillo, G.
Publication - CCAFS Outcome Synthesis Report:(CGIAR, 2021) Beal, C.; Bernardo, E. B.; Castellanos, A.; Martinez, J.D.; Ouédraogo, M.; Recha, J.; Radeny, M.; Shirsath, P.B.; Laderach, P.; Bonilla-Findji, O.
Publication - Lessons Learned on Participatory Action Research (PAR) to Adoption of CSA Options with an Emphasis on Gender and Social Inclusion Across the 5 CCAFS Regions(CGIAR, 2021) Beal, C.; Martinez, J.D.; Ouédraogo, M.; Recha, J.; Ambaw, G.; Tesfaye, A.; Nigussie, A.; Shirsath, P.B.; Laderach, P.; Bonilla-Findji, O.
Publication - Lessons on bridging the science-policy divide for climate change action in developing countries(CGIAR CCAFS, 2018) Cramer, L.; Thornton, P.; Dinesh, D.; Jat, M.L.; Khatri-Chhetri, A.; Laderach, P.; Martinez-Baron, D.; Ouédraogo, M.; Partey, S.; Totin, E.; Vasileiou, I.; Veeger, M.
Publication - Facilitating change for climate-smart agriculture through science-policy engagement(MDPI, 2018) Dinesh, D.; Zougmore, R.B.; Vervoort, J.; Totin, E.; Thornton, P.; Solomon, D.; Shirsath, P.B.; Pede, V.O.; Lopez Noriega, I.; Laderach, P.; Korner, J.; Hegger, D.; Girvetz, E.; Friis, A.E.; Driessen, P.P.J.; Campbell, B.M.Climate change impacts on agriculture have become evident, and threaten the achievement of global food security. On the other hand, the agricultural sector itself is a cause of climate change, and if actions are not taken, the sector might impede the achievement of global climate goals. Science-policy engagement efforts are crucial to ensure that scientific findings from agricultural research for development inform actions of governments, private sector, non-governmental organizations (NGOs) and international development partners, accelerating progress toward global goals. However, knowledge gaps on what works limit progress. In this paper, we analyzed 34 case studies of science-policy engagement efforts, drawn from six years of agricultural research for development efforts around climate-smart agriculture by the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS). Based on lessons derived from these case studies, we critically assessed and refined the program theory of the CCAFS program, leading to a revised and improved program theory for science-policy engagement for agriculture research for development under climate change. This program theory offers a pragmatic pathway to enhance credibility, salience and legitimacy of research, which relies on engagement (participatory and demand-driven research processes), evidence (building scientific credibility while adopting an opportunistic and flexible approach) and outreach (effective communication and capacity building).
Publication - Assessing high-impact spots of climate change: spatial yield simulations with Decision Support System for Agrotechnology Transfer (DSSAT) model(Springer Verlag, 2017) Eitzinger, A.; Laderach, P.; Rodriguez, B.; Fisher, M.; Beebe, S.; Sonder, K.; Schmidt, A.Drybeans (Phaseolus vulgaris L.) are an important subsistence crop in Central America. Future climate change may threaten drybean production and jeopardize smallholder farmers’ food security. We estimated yield changes in drybeans due to changing climate in these countries using downscaled data from global circulation models (GCMs) in El Salvador, Guatemala, Honduras, and Nicaragua. We generated daily weather data, which we used in the Decision Support System for Agrotechnology Transfer (DSSAT) drybean submodel. We compared different cultivars, soils, and fertilizer options in three planting seasons.We analyzed the simulated yields to spatially classify high-impact spots of climate change across the four countries. The results show a corridor of reduced yields from Lake Nicaragua to central Honduras (10–38 % decrease). Yields increased in the Guatemalan highlands, towards the Atlantic coast, and in southern Nicaragua (10–41 % increase). Some farmers will be able to adapt to climate change, but others will have to change crops, which will require external support. Research institutions will need to devise technologies that allow farmers to adapt and provide policy makers with feasible strategies to implement them.
Publication - Assessing high-impact spots of climate change: spatial yield simulations with Decision Support System for Agrotechnology Transfer (DSSAT) model(Springer Verlag, 2016) Eitzinger, A.; Laderach, P.; Rodriguez, B.; Fisher, M.; Beebe, S.; Sonder, K.; Schmidt, A.Drybeans (Phaseolus vulgaris L.) are an important subsistence crop in Central America. Future climate change may threaten drybean production and jeopardize smallholder farmers’ food security. We estimated yield changes in drybeans due to changing climate in these countries using downscaled data from global circulation models (GCMs) in El Salvador, Guatemala, Honduras, and Nicaragua. We generated daily weather data, which we used in the Decision Support System for Agrotechnology Transfer (DSSAT) drybean submodel. We compared different cultivars, soils, and fertilizer options in three planting seasons. We analyzed the simulated yields to spatially classify high-impact spots of climate change across the four countries. The results show a corridor of reduced yields from Lake Nicaragua to central Honduras (10–38 % decrease). Yields increased in the Guatemalan highlands, towards the Atlantic coast, and in southern Nicaragua (10–41 % increase). Some farmers will be able to adapt to climate change, but others will have to change crops, which will require external support. Research institutions will need to devise technologies that allow farmers to adapt and provide policy makers with feasible strategies to implement them.
Publication - Tortillas on the roaster (ToR): central America maize-beans systems and the changing climate(CIMMYT, 2012) Schmidt, A.; Eitzinger, A.; Sonder, K.; Sain, G.; Rizo, L.; Rodriguez, B.; Hellin, J.; Fisher, M.; Laderach, P.; San Vicente Garcia, F.M.; Robertson, R.In order to be able to adapt to climate change, maize and bean producing smallholders in Central America have to know which type of changes and to which extent and ranges these changes will occur. Adaptation is only possible if global climate predictions are broken down on local levels, to give farmers a direction on what to adapt to, but also to provide detailed information about the extent of climate change impact and the exact location of the affected population to local, national, and regional governments and authorities, and the international cooperation/donors in order to coordinate and focus their interventions This technical report seeks to assess the expected impact of climate change on maize and bean production in four countries in Central America. We downscaled GCM (Global Climate Models) to a local scale, predicted future maize and bean production using the dynamic crop model DSSAT (Decision Support for Agro-technology Transfer), we identified based on the DSSAT-results 3 types of focus areas where impact is predicted to be significant and run DSSAT again with the full range of available GCMs to address uncertainty of model predictions. Outputs of downscaled climate data show that temperature is predicted to increase in the future, while precipitation will slightly reduce. Crop modeling shows that bean yields will decrease high along the dry belt in Central America and revealed a significant influence of soil fertility and soil water retention capacity especially on maize yield which will be drastically affected by climate change under such poor soil conditions. Furthermore, we identified hot-spots with more than 50% yield reduction as well as area with favorable growth conditions in the future. The conducted vulnerability analysis shows the low adaptive capacity at household level and the low availability of human and social capital across the region for climate change adaptation. Central America is highly vulnerable to climate change. Based on the results we finally made recommendations for adaptation- and mitigation strategies such as eco-efficient and sustainable intensification of the production system combing soil and fertility management with water harvesting schemes, marketed oriented high value plant production and plant genetic improvement for heat- and drought stress. The findings of the present study should enable decision makers on local, national and regional levels to take appropriate action in the right locations and provide an adequate policy framework for successful implementation of adaptation strategies in the rural sector of Central America.
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