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The mental map as an instrument to define indicators in complex systems

An Application on the Environmental Knowledge of Local Horticultural Farmers

Bibliographic Data

ID4010759
AuthorsMaría Luz Blandi (0000-0002-6995-5783, Universidad Nacional de La Plata), Natalia Agustina Gargoloff (0000-0001-6193-0090, Universidad Nacional de La Plata), María José Iermanó (0000-0003-0235-0832, Universidad Nacional de La Plata), María Fernanda Paleologos (0000-0002-0560-5629, Universidad Nacional de La Plata, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas, Argentina), Santiago Javier Sarandón (0000-0001-5197-3652, Universidad Nacional de La Plata, Argentina; Comisión de Investigaciones Científicas de la Provincia de Buenos Aires, Argentina)
Year2022
Volume60
Issue1
Publication date2022-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueRevista de Economia e Sociologia Rural (JOURNAL)
Journal identifiersISSN: 0103-2003 • E-ISSN: 1806-9479
PublisherFapUNIFESP (SciELO) (PUBLISHER)
DOI10.1590/1806-9479.2021.233521
OpenAlexW3175818437
SCIELO_PIDS0103-20032022000100207
LanguageEN
Citations received1
References cited17

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

Agriculture · Agroecology · Agroecosystem · Business · Discipline · Economics · Environmental resource management · Knowledge management · Management science · Mental mapping · Process management · Reductionism · Risk analysis (engineering) · Social science · Sociology · Sustainability · Work (physics) · Computer Science · Ecology · Engineering · Organic Food and Agriculture · Plant and soil sciences · Psychology · Social Psychology · Sustainable Agricultural Systems Analysis

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Unique citing works1
Citations per year0,5
Citation span2024 - 2024 (1)
Citation velocityrecent
Highly citedNo

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