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Indicators of Agricultural intensity and intensification: a review of the literature

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Indicators of Agricultural intensity and intensification: a review of the literature

dc.contributor.author	Ruiz-Martinez, Irune
dc.contributor.author	Marraccini, Elisa
dc.contributor.author	Debolini Marta
dc.contributor.author	Bonari, Enrico
dc.date.accessioned	2020-03-26T11:25:27Z
dc.date.available	2020-03-26T11:25:27Z
dc.date.issued	2015
dc.identifier.citation	Ruiz-Martinez, Irune Marraccini, Elisa Debolini Marta Bonari, Enrico 2015 Indicators of Agricultural intensity and intensification: a review of the literature Italian Journal Of Agronomy 10 2 74 84
dc.identifier.uri	https://hdl.handle.net/10550/73668
dc.description.abstract	Since the 1960s, research has dealt with agricultural intensification (AI) as a solution to ensure global food security. Recently, sustainable intensification (SI) has increasingly been used to describe those agricultural and farming systems that ensure adequate ecosystem service provision. Studies differ in terms of the application scales and methodologies, thus we aim to summarize the main findings from the literature on how AI and SI are assessed, from the farm to global levels. Our literature review is based on 7865 papers selected from the Web of Science database and analysed using CorText software. A further selection of 105 relevant papers was used for an in-depth full-text analysis on: i) farming systems studied; ii) related ecosystem services; iii) indicators of intensity; and iv) temporal and spatial scales of analysis. Through this two-step analysis we were able to highlight three main research gaps in the AI research indicators. Firstly, the farming systems analysed for assessing AI are often quite simplified or monoculture- oriented, and they do not take the diversity and complex organisation of farming systems into account. Secondly, these studies mainly focus on northern countries or developing countries, whereas there is a gap of knowledge in Mediterranean areas, which are the areas with a high complexity of farming systems and diversity in ecosystem services. Finally, AI is mostly assessed through nitrogen inputs and economic yield, which are used the most both at very local and global levels. Intermediate regional or local levels, which are relevant for policy implementation and local planning, are often neglected.
dc.language.iso	eng
dc.relation.ispartof	Italian Journal Of Agronomy, 2015, vol. 10, num. 2, p. 74-84
dc.subject	Economia
dc.subject	Agricultura
dc.subject	Agronomia
dc.title	Indicators of Agricultural intensity and intensification: a review of the literature
dc.type	journal article	es_ES
dc.date.updated	2020-03-26T11:25:28Z
dc.identifier.doi	10.4081/ija.2015.656
dc.identifier.idgrec	131469
dc.rights.accessRights	open access	es_ES