Análisis bibliométrico del conocimiento científico sobre resiliencia de agroecosistemas

• Published in: Revista mexicana de ciencias agrícolas (México) Vol. 12; no. 4; pp. 617 - 628
• Main Authors: Quiroz Guerrero, Ismael, Pérez Vázquez, Arturo, Landeros Sánchez, Cesáreo, Gallardo López, Felipe, Velasco Velasco, Joel, Benítez Badillo, Griselda
• Format: Journal Article
• Language: English
• Published: 25.06.2021
• ISSN: 2007-0934; 2007-9230
• DOI: 10.29312/remexca.v12i4.2516

Global phenomena such as climate change threaten the resilience of agroecosystems and therefore food security. Thus, the objective of this paper was to analyze the cumulative nature and outstanding advances in the knowledge of the resilience of agroecosystems as a basis for the development of new trends in the subject. A literature review was conducted using the Web of Science database, considering criteria such as date of publication, disciplines and scientific journals. The search covers the period from 1993 to 2020. One hundred eighty-eight publications were identified, with 2018 and 2019 being the years with the highest number of articles published. The research areas with the most publications on resilience are ecology (71), agriculture (52) and environmental sciences (44). Regarding the connectivity based on the value of intermediate centrality, the areas of greatest interrelationship are mainly: agriculture (0.45), science and technology (0.28), environmental sciences (0.2) and ecology (0.12). In the dynamics and study of resilience, the adaptability of the agroecosystem stands out. The conceptual model of resilience analyzed facilitates its study and is composed of: precariousness, latitude, resistance and panarchy. Therefore, the indicators for quantifying resilience in agroecosystems are heterogeneous and multidimensional. It is concluded that resilience has been conceptually studied as an emerging property from the agroecological approach, recently from the socioecological systems approach, where adaptability and interdiscipline are highlighted as a means to solve complex problems.