Quantifying sustainable intensification of agriculture: The contribution of metrics and modelling

Sustainable intensification (SI) of agriculture is a promising strategy for boosting the capacity of the agricultural sector to meet the growing demands for food and non-food products and services in a sustainable manner. Assessing and quantifying the options for SI remains a challenge due to its mu...

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Autores principales:	Ioanna Mouratiadou, Catharina Latka, Floor van der Hilst, Christoph Müller, Regine Berges, Benjamin Leon Bodirsky, Frank Ewert, Babacar Faye, Thomas Heckelei, Munir Hoffmann, Heikki Lehtonen, Ignacio Jesus Lorite, Claas Nendel, Taru Palosuo, Alfredo Rodríguez, Reimund Paul Rötter, Margarita Ruiz-Ramos, Tommaso Stella, Heidi Webber, Birka Wicke
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Sustainable intensification Indicators Metrics Modelling of agricultural systems Ex-ante scenario assessment Sustainable development goals Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/b13ba61b501045faabfe15fcfa6970a0
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spelling	oai:doaj.org-article:b13ba61b501045faabfe15fcfa6970a02021-12-01T04:54:48ZQuantifying sustainable intensification of agriculture: The contribution of metrics and modelling1470-160X10.1016/j.ecolind.2021.107870https://doaj.org/article/b13ba61b501045faabfe15fcfa6970a02021-10-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21005355https://doaj.org/toc/1470-160XSustainable intensification (SI) of agriculture is a promising strategy for boosting the capacity of the agricultural sector to meet the growing demands for food and non-food products and services in a sustainable manner. Assessing and quantifying the options for SI remains a challenge due to its multiple dimensions and potential associated trade-offs. We contribute to overcoming this challenge by proposing an approach for the ex-ante evaluation of SI options and trade-offs to facilitate decision making in relation to SI. This approach is based on the utilization of a newly developed SI metrics framework (SIMeF) combined with agricultural systems modelling. We present SIMeF and its operationalization approach with modelling and evaluate the approach’s feasibility by assessing to what extent the SIMeF metrics can be quantified by representative agricultural systems models. SIMeF is based on the integration of academic and policy indicator frameworks, expert opinions, as well as the Sustainable Development Goals. Structured along seven SI domains and consisting of 37 themes, 142 sub-themes and 1128 metrics, it offers a holistic, generic, and policy-relevant dashboard for selecting the SI metrics to be quantified for the assessment of SI options in diverse contexts. The use of SIMeF with agricultural systems modelling allows the ex-ante assessment of SI options with respect to their productivity, resource use efficiency, environmental sustainability and, to a large extent, economic sustainability. However, we identify limitations to the use of modelling to represent several SI aspects related to social sustainability, certain ecological functions, the multi-functionality of agriculture, the management of losses and waste, and security and resilience. We suggest advancements in agricultural systems models and greater interdisciplinary and transdisciplinary integration to improve the ability to quantify SI metrics and to assess trade-offs across the various dimensions of SI.Ioanna MouratiadouCatharina LatkaFloor van der HilstChristoph MüllerRegine BergesBenjamin Leon BodirskyFrank EwertBabacar FayeThomas HeckeleiMunir HoffmannHeikki LehtonenIgnacio Jesus LoriteClaas NendelTaru PalosuoAlfredo RodríguezReimund Paul RötterMargarita Ruiz-RamosTommaso StellaHeidi WebberBirka WickeElsevierarticleSustainable intensificationIndicatorsMetricsModelling of agricultural systemsEx-ante scenario assessmentSustainable development goalsEcologyQH540-549.5ENEcological Indicators, Vol 129, Iss , Pp 107870- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Sustainable intensification Indicators Metrics Modelling of agricultural systems Ex-ante scenario assessment Sustainable development goals Ecology QH540-549.5
spellingShingle	Sustainable intensification Indicators Metrics Modelling of agricultural systems Ex-ante scenario assessment Sustainable development goals Ecology QH540-549.5 Ioanna Mouratiadou Catharina Latka Floor van der Hilst Christoph Müller Regine Berges Benjamin Leon Bodirsky Frank Ewert Babacar Faye Thomas Heckelei Munir Hoffmann Heikki Lehtonen Ignacio Jesus Lorite Claas Nendel Taru Palosuo Alfredo Rodríguez Reimund Paul Rötter Margarita Ruiz-Ramos Tommaso Stella Heidi Webber Birka Wicke Quantifying sustainable intensification of agriculture: The contribution of metrics and modelling
description	Sustainable intensification (SI) of agriculture is a promising strategy for boosting the capacity of the agricultural sector to meet the growing demands for food and non-food products and services in a sustainable manner. Assessing and quantifying the options for SI remains a challenge due to its multiple dimensions and potential associated trade-offs. We contribute to overcoming this challenge by proposing an approach for the ex-ante evaluation of SI options and trade-offs to facilitate decision making in relation to SI. This approach is based on the utilization of a newly developed SI metrics framework (SIMeF) combined with agricultural systems modelling. We present SIMeF and its operationalization approach with modelling and evaluate the approach’s feasibility by assessing to what extent the SIMeF metrics can be quantified by representative agricultural systems models. SIMeF is based on the integration of academic and policy indicator frameworks, expert opinions, as well as the Sustainable Development Goals. Structured along seven SI domains and consisting of 37 themes, 142 sub-themes and 1128 metrics, it offers a holistic, generic, and policy-relevant dashboard for selecting the SI metrics to be quantified for the assessment of SI options in diverse contexts. The use of SIMeF with agricultural systems modelling allows the ex-ante assessment of SI options with respect to their productivity, resource use efficiency, environmental sustainability and, to a large extent, economic sustainability. However, we identify limitations to the use of modelling to represent several SI aspects related to social sustainability, certain ecological functions, the multi-functionality of agriculture, the management of losses and waste, and security and resilience. We suggest advancements in agricultural systems models and greater interdisciplinary and transdisciplinary integration to improve the ability to quantify SI metrics and to assess trade-offs across the various dimensions of SI.
format	article
author	Ioanna Mouratiadou Catharina Latka Floor van der Hilst Christoph Müller Regine Berges Benjamin Leon Bodirsky Frank Ewert Babacar Faye Thomas Heckelei Munir Hoffmann Heikki Lehtonen Ignacio Jesus Lorite Claas Nendel Taru Palosuo Alfredo Rodríguez Reimund Paul Rötter Margarita Ruiz-Ramos Tommaso Stella Heidi Webber Birka Wicke
author_facet	Ioanna Mouratiadou Catharina Latka Floor van der Hilst Christoph Müller Regine Berges Benjamin Leon Bodirsky Frank Ewert Babacar Faye Thomas Heckelei Munir Hoffmann Heikki Lehtonen Ignacio Jesus Lorite Claas Nendel Taru Palosuo Alfredo Rodríguez Reimund Paul Rötter Margarita Ruiz-Ramos Tommaso Stella Heidi Webber Birka Wicke
author_sort	Ioanna Mouratiadou
title	Quantifying sustainable intensification of agriculture: The contribution of metrics and modelling
title_short	Quantifying sustainable intensification of agriculture: The contribution of metrics and modelling
title_full	Quantifying sustainable intensification of agriculture: The contribution of metrics and modelling
title_fullStr	Quantifying sustainable intensification of agriculture: The contribution of metrics and modelling
title_full_unstemmed	Quantifying sustainable intensification of agriculture: The contribution of metrics and modelling
title_sort	quantifying sustainable intensification of agriculture: the contribution of metrics and modelling
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/b13ba61b501045faabfe15fcfa6970a0
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Quantifying sustainable intensification of agriculture: The contribution of metrics and modelling

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