Work

Scientometric analysis of cover crop management: Trends, networks, and future directions

Year: 2024

Type: article

Abstract: This research paper presents a comprehensive scientometric analysis of English articles from the Scopus database regarding the topic of cover crop management from 1956 to March 2024. Through the analysis of the annual production trend, total production, a co-occurrence network of keywords, co-authorship networks, and co-citation networks, the data was mapped and visualized using VOSviewer and Bibliometrix software. There was an exponential increase in publications from 1991 onwards. The predominant subject was Agricultural and Biological Sciences and the most relevant journals, authors, and documents were related to this topic. Additionally, the most productive country was the United States, but in terms of article production per surface area, other countries, such as Switzerland and The Netherlands, evidence the great weight of cover crop management in these countries. The identified research topics were related to the application of different crops as cover crops and the effects on different cultivars, also soil quality improvement, and fertilization and nutrient efficiency. An emerging research topic was found to be the usefulness of cover crops as effective tools for climate change adaptation and mitigation strategies in agriculture. Future research in the field of cover crop management could be directed towards climate-adaptive cover crop species and varieties, the use of technological innovations for cover crop monitoring, and management and analysis of the economic and social impacts of cover crop adoption. • 5467 English articles related to cover crop management from the Scopus database are analyzed. • Research focuses on cover crops' role in soil quality, nutrient efficiency, and climate change adaptation. • Future studies may focus on climate-adaptive cover crops and innovative monitoring technologies.

Source: European Journal of Agronomy

DOI: 10.1016/j.eja.2024.127355

Authors: Raúl San-Juan-Heras, José L. Gabriel, María M. Delgado, Sergio Alvarez, Sara Martinez

Institutions: Consejo Superior de Investigaciones Científicas, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria, Universidad Politécnica de Madrid

Language: English

Topic: scientometrics and bibliometrics research

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

SDGs: Zero hunger, Climate action, Life on land

Open Access status: hybrid

Estimated APC paid: $3,450