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Participatory selection of soil quality indicators for monitoring the impacts of regenerative agriculture on ecosystem services
Ecosystem Services ( IF 6.1 ) Pub Date : 2020-07-30 , DOI: 10.1016/j.ecoser.2020.101157
Raquel Luján Soto , Mamen Cuéllar Padilla , Joris de Vente

Improving the understanding and fostering large-scale adoption of regenerative agriculture (RA) requires soil quality monitoring systems that integrate farmers’ and researchers’ knowledge. This is especially relevant for participatory impact assessment in semiarid areas prone to land degradation that typically respond slowly to management changes, often resulting in low RA adoption rates. We developed a framework for the identification and selection of local and technical soil quality indicators and for the development of a visual soil assessment tool, to participatory monitor the impacts of RA by farmers and researchers. We applied this framework in a large-scale restoration project in southeast Spain together with almond farmers implementing RA. Local indicators selected by farmers focused mostly on water regulation, erosion control, soil fertility, crop performance and main supporting, regulating and provisioning ecosystem services. Technical indicators selected by researchers focused mostly on soil properties including aggregate stability, soil nutrients, microbial biomass and activity, and leaf nutrients, covering crucial supporting services. The combination of indicators provided complementary information, improving the feasibility of RA impact assessment. This integrated soil quality monitoring system offers a practical tool to enhance knowledge exchange and mutual learning to support the implementation of RA and optimize the delivery of ecosystem services.



中文翻译:

参与性选择土壤质量指标以监测再生农业对生态系统服务的影响

增进对再生农业的了解并促进大规模采用再生农业需要结合农民和研究人员知识的土壤质量监测系统。这对于容易发生土地退化的半干旱地区的参与性影响评估尤其重要,该地区通常对管理变革反应缓慢,通常会导致RA采用率较低。我们开发了一个框架,用于识别和选择本地和技术性土壤质量指标,以及开发可视化土壤评估工具,以参与性监测农民和研究人员对RA的影响。我们将该框架与实施RA的杏仁农民一起在西班牙东南部的大型修复项目中应用。农民选择的当地指标主要集中在水调节,侵蚀控制,土壤肥力,作物性能以及主要的支持,调节和提供生态系统服务。研究人员选择的技术指标主要集中在土壤性质,包括集料稳定性,土壤养分,微生物生物量和活性以及叶片养分,涵盖了关键的支持服务。指标的组合提供了补充信息,提高了RA影响评估的可行性。这个综合的土壤质量监测系统提供了一种实用的工具,可增强知识交流和相互学习,以支持RA的实施并优化生态系统服务的提供。微生物的生物量和活性以及叶片养分,涵盖了关键的支持服务。指标的组合提供了补充信息,提高了RA影响评估的可行性。这个综合的土壤质量监测系统提供了一种实用的工具,可增强知识交流和相互学习,以支持RA的实施并优化生态系统服务的提供。微生物的生物量和活性以及叶片养分,涵盖了关键的支持服务。指标的组合提供了补充信息,提高了RA影响评估的可行性。这个综合的土壤质量监测系统提供了一种实用的工具,可增强知识交流和相互学习,以支持RA的实施并优化生态系统服务的提供。

更新日期:2020-07-30
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