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In highly-biodiverse tropical landscapes, multiple-objective optimization reveals opportunities for increasing both conservation and agricultural production

Author

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  • Wies, Germán
  • Groot, Jeroen C.J.
  • Martinez-Ramos, Miguel

Abstract

In humid tropics, small and medium farming systems are important for producing food but also because they retain rainforest patches with high conservation value. Forest conservation and agricultural production strongly compete for land in Tropical Farming Systems (TFS). Finding solutions that synergize increasing conservation areas and agricultural production is an issue that has yet to be resolved in human-modified tropical landscapes. Achieving this objective requires analyzing how farms could be reorganized to relieve the pressure for production on the land. Pareto-based genetic algorithms that produce a set of solutions that satisfy apparently opposed objectives may tackle multi-objective problems. We explored trade-offs and synergies to increase the profits by sustainable intensification and maintain or increase rainforest areas in five TFS. There was a strong trade-off between conservation and economic profits in all TFS. However, depending on the total farming area, initial configurations and the amount of external inputs used, TFS showed low (two out of five) or high (three out of five) potential to increase forest conservation and profits. In low potential areas, the expansion of conservation areas and profits was only possible by increasing external inputs, primarily due to the limiting farming area and intensification status in those areas. In contrast, in high potential areas it was possible to increase conservation areas and profits through sustainable intensification practices, such as increasing maize silage, changing high for low use-pesticides crops but also reducing variable costs by minimizing cost-supply uses or external feeds. Alternative management and resource allocation options were specific for each TFS. The multi-objective simulation yielded novel results showing that it is possible to overcome the conservation-production antagonism (a regional-global scale issue) by adjusting management at farm (local) scale.

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  • Wies, Germán & Groot, Jeroen C.J. & Martinez-Ramos, Miguel, 2023. "In highly-biodiverse tropical landscapes, multiple-objective optimization reveals opportunities for increasing both conservation and agricultural production," Ecological Modelling, Elsevier, vol. 483(C).
  • Handle: RePEc:eee:ecomod:v:483:y:2023:i:c:s0304380023001667
    DOI: 10.1016/j.ecolmodel.2023.110435
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    1. Claudia Bouroncle & Pablo Imbach & Beatriz Rodríguez-Sánchez & Claudia Medellín & Armando Martinez-Valle & Peter Läderach, 2017. "Mapping climate change adaptive capacity and vulnerability of smallholder agricultural livelihoods in Central America: ranking and descriptive approaches to support adaptation strategies," Climatic Change, Springer, vol. 141(1), pages 123-137, March.
    2. Chopin, Pierre & Doré, Thierry & Guindé, Loïc & Blazy, Jean-Marc, 2015. "MOSAICA: A multi-scale bioeconomic model for the design and ex ante assessment of cropping system mosaics," Agricultural Systems, Elsevier, vol. 140(C), pages 26-39.
    3. Christian Folberth & Nikolay Khabarov & Juraj Balkovič & Rastislav Skalský & Piero Visconti & Philippe Ciais & Ivan A. Janssens & Josep Peñuelas & Michael Obersteiner, 2020. "The global cropland-sparing potential of high-yield farming," Nature Sustainability, Nature, vol. 3(4), pages 281-289, April.
    4. Wies, Germán & Navarrete-Segueda, Armando & Ceccon, Eliane & Larsen, John & Martinez-Ramos, Miguel, 2022. "What drives management decisions and grain yield variability in Mesoamerican maize cropping systems? Evidence from small-scale farmers in southern Mexico," Agricultural Systems, Elsevier, vol. 198(C).
    5. Cortez-Arriola, José & Groot, Jeroen C.J. & Rossing, Walter A.H. & Scholberg, Johannes M.S. & Améndola Massiotti, Ricardo D. & Tittonell, Pablo, 2016. "Alternative options for sustainable intensification of smallholder dairy farms in North-West Michoacán, Mexico," Agricultural Systems, Elsevier, vol. 144(C), pages 22-32.
    6. Carolina Berget & Gerard Verschoor & Eduardo García-Frapolli & Edith Mondragón-Vázquez & Frans Bongers, 2021. "Landscapes on the Move: Land-Use Change History in a Mexican Agroforest Frontier," Land, MDPI, vol. 10(10), pages 1-24, October.
    7. Castelan-Ortega, Octavio A. & Fawcett, Roy H. & Arriaga-Jordan, Carlos & Herrero, Mario, 2003. "A Decision Support System for smallholder campesino maize-cattle production systems of the Toluca Valley in Central Mexico. Part II--Emulating the farming system," Agricultural Systems, Elsevier, vol. 75(1), pages 23-46, January.
    8. Lê, Sébastien & Josse, Julie & Husson, François, 2008. "FactoMineR: An R Package for Multivariate Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 25(i01).
    9. González-Quintero, Ricardo & van Wijk, Mark T. & Ruden, Alejandro & Gómez, Manuel & Pantevez, Heiber & Castro-Llanos, Fabio & Notenbaert, An & Arango, Jacobo, 2022. "Yield gap analysis to identify attainable milk and meat productivities and the potential for greenhouse gas emissions mitigation in cattle systems of Colombia," Agricultural Systems, Elsevier, vol. 195(C).
    10. Richards, Peter D., 2012. "Exchange Rates, Soybean Supply Response, and Deforestation in South America," Graduate Research Master's Degree Plan B Papers 138606, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    11. Neumann, Kathleen & Verburg, Peter H. & Stehfest, Elke & Müller, Christoph, 2010. "The yield gap of global grain production: A spatial analysis," Agricultural Systems, Elsevier, vol. 103(5), pages 316-326, June.
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