Synecoculture experiments: Human augmentation of ecosystems and Planetary Hhealth

Masatoshi Funabashi
{"title":"Synecoculture experiments: Human augmentation of ecosystems and Planetary Hhealth","authors":"Masatoshi Funabashi","doi":"10.1016/j.sctalk.2024.100405","DOIUrl":null,"url":null,"abstract":"<div><div>Transformative change in primary food production is urgently needed in the face of climate change and biodiversity loss. Synecoculture (synecological farming) is designed on a variety of environmental responses within ecological optimum in high-density mixed polyculture, where various edible species were intentionally introduced.</div><div>In this talk, I overview essential experimental results and activities of Synecoculture in relation to Planetary Health. The scientific methods underlying this research include the following:</div><div><strong>Field Experiments:</strong> Conducted in Japan and Sub-Saharan Africa, these experiments tested Synecoculture's diverse, mixed-species agroecosystems without conventional inputs (e.g., tillage, fertilizers, and agrochemicals), assessing biodiversity, overall productivity, and soil health.</div><div><strong>Big Data and AI:</strong> Developed an open-source biological interaction database, used AI and drone image analysis for automated field assessment, and 3D ecosystem modeling to manage and understand ecological complexity.</div><div><strong>Ecological Data Analysis:</strong> Monitored seasonal community dynamics of Synecoculture plots and used CSR triangle theory to analyze plant adaptive strategies. These analyses demonstrated adaptive diversification and its link to ecosystem productivity.</div><div><strong>Theoretical Modeling:</strong> Established the Integrated Model of Physiological and Ecological Optima (IMPEO) to analyze the comprehensive productivity of densely mixed polyculture in marginal environments.</div><div><strong>Health Impact Studies:</strong> Evaluated Synecoculture's health benefits through metabolome analysis of tea products, as well as biomarker analysis and clinical assessments for elderly patients, showing anti-inflammatory effects and improved physical and cognitive health outcomes through rehabilitation activities in biodiverse environments.</div><div><strong>Socio-Economic Assessment:</strong> Measured economic impacts in sub-Saharan Africa and established collaborative efforts towards scaled-up implementation in the Global South with local governments and NGOs, highlighting Synecoculture's contribution to sustainable food systems and land restoration. In the urban area of Japan, participatory studies were performed on green infrastructure to enhance biodiversity and mitigate environmental risks. Educational programs based on the “Syneco Portal” engaged students in hands-on learning about the self-organization of ecosystems. Additionally, we developed a model linking biodiversity to healthcare costs, offering services that enhance biodiversity and utilize ecosystem benefits supported by medical data and AI.</div><div>The overall results showed that the self-organized primary production of ecosystems performs better compared with conventional monoculture methods in 1) promoting diversity and total quantity of products along with a rapid increase of in-field biodiversity that autonomously adapt to environmental variability; 2) a fundamental reduction of inputs and environmental load; and 3) multiple benefits to human wellbeing through enhanced nutrition and environmental quality.</div><div>These benefits imply substantial possibilities for a new typology of sustainable farming based on human-guided augmentation of ecosystem that could overcome the historical trade-off between productivity and biodiversity, which provide a fundamental platform for human and ecosystem health in both rural and urban environments.</div></div>","PeriodicalId":101148,"journal":{"name":"Science Talks","volume":"12 ","pages":"Article 100405"},"PeriodicalIF":0.0000,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Science Talks","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2772569324001130","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Transformative change in primary food production is urgently needed in the face of climate change and biodiversity loss. Synecoculture (synecological farming) is designed on a variety of environmental responses within ecological optimum in high-density mixed polyculture, where various edible species were intentionally introduced.
In this talk, I overview essential experimental results and activities of Synecoculture in relation to Planetary Health. The scientific methods underlying this research include the following:
Field Experiments: Conducted in Japan and Sub-Saharan Africa, these experiments tested Synecoculture's diverse, mixed-species agroecosystems without conventional inputs (e.g., tillage, fertilizers, and agrochemicals), assessing biodiversity, overall productivity, and soil health.
Big Data and AI: Developed an open-source biological interaction database, used AI and drone image analysis for automated field assessment, and 3D ecosystem modeling to manage and understand ecological complexity.
Ecological Data Analysis: Monitored seasonal community dynamics of Synecoculture plots and used CSR triangle theory to analyze plant adaptive strategies. These analyses demonstrated adaptive diversification and its link to ecosystem productivity.
Theoretical Modeling: Established the Integrated Model of Physiological and Ecological Optima (IMPEO) to analyze the comprehensive productivity of densely mixed polyculture in marginal environments.
Health Impact Studies: Evaluated Synecoculture's health benefits through metabolome analysis of tea products, as well as biomarker analysis and clinical assessments for elderly patients, showing anti-inflammatory effects and improved physical and cognitive health outcomes through rehabilitation activities in biodiverse environments.
Socio-Economic Assessment: Measured economic impacts in sub-Saharan Africa and established collaborative efforts towards scaled-up implementation in the Global South with local governments and NGOs, highlighting Synecoculture's contribution to sustainable food systems and land restoration. In the urban area of Japan, participatory studies were performed on green infrastructure to enhance biodiversity and mitigate environmental risks. Educational programs based on the “Syneco Portal” engaged students in hands-on learning about the self-organization of ecosystems. Additionally, we developed a model linking biodiversity to healthcare costs, offering services that enhance biodiversity and utilize ecosystem benefits supported by medical data and AI.
The overall results showed that the self-organized primary production of ecosystems performs better compared with conventional monoculture methods in 1) promoting diversity and total quantity of products along with a rapid increase of in-field biodiversity that autonomously adapt to environmental variability; 2) a fundamental reduction of inputs and environmental load; and 3) multiple benefits to human wellbeing through enhanced nutrition and environmental quality.
These benefits imply substantial possibilities for a new typology of sustainable farming based on human-guided augmentation of ecosystem that could overcome the historical trade-off between productivity and biodiversity, which provide a fundamental platform for human and ecosystem health in both rural and urban environments.
协同培养实验:人类增强生态系统和行星健康
面对气候变化和生物多样性的丧失,迫切需要对初级粮食生产进行变革。Synecoculture(同步生态农业)的设计理念是在高密度混合多元栽培的最佳生态环境中,有意识地引入各种可食用物种,以应对各种环境反应。在本讲座中,我将概述Synecoculture与 "行星健康 "相关的基本实验结果和活动。这项研究的科学方法包括:实地实验:大数据和人工智能:开发了一个开源生物交互数据库,利用人工智能和无人机图像分析进行自动田间评估,以及三维生态系统建模来管理和理解生态复杂性。生态数据分析:监测 Synecoculture 地块的季节性群落动态,利用 CSR 三角理论分析植物的适应策略。理论建模:理论建模:建立生理和生态最优综合模型(IMPEO),分析边缘环境中密集混合多元栽培的综合生产力:通过对茶叶产品的代谢组分析,以及对老年患者的生物标志物分析和临床评估,评估 Synecoculture 对健康的益处,结果显示,通过在生物多样性环境中开展康复活动,Synecoculture 具有抗炎作用,并改善了身体和认知健康状况:社会经济评估:衡量了撒哈拉以南非洲地区的经济影响,并与当地政府和非政府组织建立了合作关系,以便在全球南部地区扩大实施规模,突出了 Synecoculture 对可持续粮食系统和土地恢复的贡献。在日本城市地区,开展了关于绿色基础设施的参与式研究,以提高生物多样性和降低环境风险。以 "Syneco 门户网站 "为基础的教育计划让学生亲身体验生态系统的自我组织。总体结果表明,与传统的单一栽培方法相比,生态系统自组织初级生产在以下方面表现更佳:1)促进产品的多样性和总量,同时快速增加田间生物多样性,自主适应环境变化;2)从根本上减少投入和环境负荷;3)通过提高营养和环境质量为人类福祉带来多重益处。这些益处意味着在人类引导的生态系统增强的基础上建立一种新的可持续耕作类型的巨大可能性,这种类型可以克服历史上生产力与生物多样性之间的权衡,为农村和城市环境中人类和生态系统的健康提供一个基本平台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信