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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
Published on: December 9, 2012
Integrating ecological and evolutionary frameworks for SynCom success
Manuel Delgado-Baquerizo1, Brajesh K Singh2, Yu-Rong Liu3
1Laboratorio de Biodiversidad y Funcionamiento Ecosistémico, Instituto de Recursos Naturales y Agrobiología de Sevilla (IRNAS), Consejo Superior de Investigaciones Científicas (CSIC), Av. Reina Mercedes 10, E-41012, Sevilla, Spain.
Abstract:
Use of synthetic microbial communities (SynComs) is a promising approach that harnesses nature-based solutions to support soil fertility and food security, mitigate climate change impacts, and restore terrestrial ecosystems. Several microbial products are in the market, and many others are at different stages of development and commercialization. Yet, we are still far from being able to fully harness the potential and successful applications of such biotechnological tools. The limited field efficiency and efficacy of SynComs have significantly constrained commercial opportunities, resulting in market growth falling below expectations. To overcome these challenges and manage expectations, it is critical to address current limitations, failures, and potential environmental consequences of SynComs. In this Viewpoint, we explore how using multiple eco-evolutionary theories can inform SynCom design and success. We further discuss the current status of SynComs and identify the next steps needed to develop and deploy the next generation of tools to boost their ability to support multiple ecosystem services, including food security and environmental sustainability.
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