Food System Sustainability Metrics: Policies, Quantification, and the Role of Complexity Sciences

The rise of global attention toward sustainability and sustainable development (SD) has provided increased incentives for research development and investment in these areas. Food systems are at the center of human needs and global population growth sustainability concerns. These drives and the need...

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Autores principales:	José V. Matos, Rui J. Lopes
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	sustainability food system metrics indicators quantification policy Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/2b4d3076b7b14f828927f5d583855b33
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spelling	oai:doaj.org-article:2b4d3076b7b14f828927f5d583855b332021-11-25T19:00:50ZFood System Sustainability Metrics: Policies, Quantification, and the Role of Complexity Sciences10.3390/su1322124082071-1050https://doaj.org/article/2b4d3076b7b14f828927f5d583855b332021-11-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/22/12408https://doaj.org/toc/2071-1050The rise of global attention toward sustainability and sustainable development (SD) has provided increased incentives for research development and investment in these areas. Food systems are at the center of human needs and global population growth sustainability concerns. These drives and the need to provide quantified support for related investment projects led to the proliferation of sustainability metrics and frameworks. While questions about sustainability definition and measurement still abound, SD policy design and control increasingly need adequate quantified support instruments. This paper aims to address this need, contributing to a more consistent and integrated application of food system sustainability metrics and quantified management of the implemented solutions. After presenting the relationships between sustainability, resilience, and robustness and summarizing food system sustainability quantification developments so far, we expose complexity sciences’ potential contributions toward SD quantified evaluation, addressing prediction, intangibles, and uncertainty issues. Finding a paramount need to make sense and bring existing sustainability metrics in context for operational use, we conclude that the articulated application of multiple and independent modeling approaches at the micro, meso, and macro levels can better help the development of food SD policies and implemented solution quantified management, with due regard to confidence levels of the results obtained.José V. MatosRui J. LopesMDPI AGarticlesustainabilityfood systemmetricsindicatorsquantificationpolicyEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 12408, p 12408 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	sustainability food system metrics indicators quantification policy Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
spellingShingle	sustainability food system metrics indicators quantification policy Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 José V. Matos Rui J. Lopes Food System Sustainability Metrics: Policies, Quantification, and the Role of Complexity Sciences
description	The rise of global attention toward sustainability and sustainable development (SD) has provided increased incentives for research development and investment in these areas. Food systems are at the center of human needs and global population growth sustainability concerns. These drives and the need to provide quantified support for related investment projects led to the proliferation of sustainability metrics and frameworks. While questions about sustainability definition and measurement still abound, SD policy design and control increasingly need adequate quantified support instruments. This paper aims to address this need, contributing to a more consistent and integrated application of food system sustainability metrics and quantified management of the implemented solutions. After presenting the relationships between sustainability, resilience, and robustness and summarizing food system sustainability quantification developments so far, we expose complexity sciences’ potential contributions toward SD quantified evaluation, addressing prediction, intangibles, and uncertainty issues. Finding a paramount need to make sense and bring existing sustainability metrics in context for operational use, we conclude that the articulated application of multiple and independent modeling approaches at the micro, meso, and macro levels can better help the development of food SD policies and implemented solution quantified management, with due regard to confidence levels of the results obtained.
format	article
author	José V. Matos Rui J. Lopes
author_facet	José V. Matos Rui J. Lopes
author_sort	José V. Matos
title	Food System Sustainability Metrics: Policies, Quantification, and the Role of Complexity Sciences
title_short	Food System Sustainability Metrics: Policies, Quantification, and the Role of Complexity Sciences
title_full	Food System Sustainability Metrics: Policies, Quantification, and the Role of Complexity Sciences
title_fullStr	Food System Sustainability Metrics: Policies, Quantification, and the Role of Complexity Sciences
title_full_unstemmed	Food System Sustainability Metrics: Policies, Quantification, and the Role of Complexity Sciences
title_sort	food system sustainability metrics: policies, quantification, and the role of complexity sciences
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/2b4d3076b7b14f828927f5d583855b33
work_keys_str_mv	AT josevmatos foodsystemsustainabilitymetricspoliciesquantificationandtheroleofcomplexitysciences AT ruijlopes foodsystemsustainabilitymetricspoliciesquantificationandtheroleofcomplexitysciences
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Food System Sustainability Metrics: Policies, Quantification, and the Role of Complexity Sciences

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