The mental map as an instrument to define indicators in complex systems: an application on the environmental knowledge of local horticultural farmers

Abstract: The reductionist and disciplinary paradigm of the Green Revolution coexists with the emerging paradigm of complexity, which values the holistic and the interdisciplinary. Agroecology promotes the need to understand the multiple biophysical relationships that exist in agroecosystems, and th...

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Main Authors: María Luz Blandi, Natalia Agustina Gargoloff, María José Iermanó, María Fernanda Paleologos, Santiago Javier Sarandón
Format: Article
Language:English
Published: Sociedade Brasileira de Economia e Sociologia Rural 2021-06-01
Series:Revista de Economia e Sociologia Rural
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-20032022000100207&tlng=en
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author María Luz Blandi
Natalia Agustina Gargoloff
María José Iermanó
María Fernanda Paleologos
Santiago Javier Sarandón
author_facet María Luz Blandi
Natalia Agustina Gargoloff
María José Iermanó
María Fernanda Paleologos
Santiago Javier Sarandón
author_sort María Luz Blandi
collection DOAJ
description Abstract: The reductionist and disciplinary paradigm of the Green Revolution coexists with the emerging paradigm of complexity, which values the holistic and the interdisciplinary. Agroecology promotes the need to understand the multiple biophysical relationships that exist in agroecosystems, and this calls for the development of new methodological tools. Sustainability indicators are an example of this. However, their implementation is not simple, as this requires an instrument to simplify the construction of such indicators. The objective of this work is to use the “mental map” as a guide for the development and application of indicators. The graph follows the conceptual path that facilitates the understanding of the variable and its breakdown into smaller and measurable units of analysis, i.e. the indicators. The created mental map has two stages: the development of indicators and their application. Its utility is presented in a case study that addresses local environmental knowledge (LEK). The results of this work show that complexity can be translated into quantifiable, measurable, and comparable variables, without this representing the loss of its characteristics. In addition, it proves that the created tool facilitates the evaluation and understanding of the functioning of agroecosystems, which contributes to decision-making.
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spelling doaj.art-d1462c19fe6041399f0f849c36e660052022-12-21T19:22:47ZengSociedade Brasileira de Economia e Sociologia RuralRevista de Economia e Sociologia Rural1806-94792021-06-0160110.1590/1806-9479.2021.233521The mental map as an instrument to define indicators in complex systems: an application on the environmental knowledge of local horticultural farmersMaría Luz Blandihttps://orcid.org/0000-0002-6995-5783Natalia Agustina Gargoloffhttps://orcid.org/0000-0001-6193-0090María José Iermanóhttps://orcid.org/0000-0003-0235-0832María Fernanda Paleologoshttps://orcid.org/0000-0002-0560-5629Santiago Javier Sarandónhttps://orcid.org/0000-0001-5197-3652Abstract: The reductionist and disciplinary paradigm of the Green Revolution coexists with the emerging paradigm of complexity, which values the holistic and the interdisciplinary. Agroecology promotes the need to understand the multiple biophysical relationships that exist in agroecosystems, and this calls for the development of new methodological tools. Sustainability indicators are an example of this. However, their implementation is not simple, as this requires an instrument to simplify the construction of such indicators. The objective of this work is to use the “mental map” as a guide for the development and application of indicators. The graph follows the conceptual path that facilitates the understanding of the variable and its breakdown into smaller and measurable units of analysis, i.e. the indicators. The created mental map has two stages: the development of indicators and their application. Its utility is presented in a case study that addresses local environmental knowledge (LEK). The results of this work show that complexity can be translated into quantifiable, measurable, and comparable variables, without this representing the loss of its characteristics. In addition, it proves that the created tool facilitates the evaluation and understanding of the functioning of agroecosystems, which contributes to decision-making.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-20032022000100207&tlng=enagroecologyindicatorssustainabilityconceptual mapagrobiodiversitycomplexity
spellingShingle María Luz Blandi
Natalia Agustina Gargoloff
María José Iermanó
María Fernanda Paleologos
Santiago Javier Sarandón
The mental map as an instrument to define indicators in complex systems: an application on the environmental knowledge of local horticultural farmers
Revista de Economia e Sociologia Rural
agroecology
indicators
sustainability
conceptual map
agrobiodiversity
complexity
title The mental map as an instrument to define indicators in complex systems: an application on the environmental knowledge of local horticultural farmers
title_full The mental map as an instrument to define indicators in complex systems: an application on the environmental knowledge of local horticultural farmers
title_fullStr The mental map as an instrument to define indicators in complex systems: an application on the environmental knowledge of local horticultural farmers
title_full_unstemmed The mental map as an instrument to define indicators in complex systems: an application on the environmental knowledge of local horticultural farmers
title_short The mental map as an instrument to define indicators in complex systems: an application on the environmental knowledge of local horticultural farmers
title_sort mental map as an instrument to define indicators in complex systems an application on the environmental knowledge of local horticultural farmers
topic agroecology
indicators
sustainability
conceptual map
agrobiodiversity
complexity
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-20032022000100207&tlng=en
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