Pulse Brain · Growing Health Evidence Index
Tier 4 — Narrative / commentaryPeer-reviewed

Evolution in agricultural systems: Moving toward the understanding of complexity

Leonor R. Rodrigues, Marta Montserrat, Sara Magalhães

Evolutionary Applications · 2022

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Summary

This editorial introduces a special issue that reframes agricultural systems through an evolutionary lens, arguing that conventional simplified farming systems harbour considerable hidden complexity when examined at genetic, ecological, and microbial scales. By integrating findings across phenotypic responses, species interactions, and soil microbiology, the authors demonstrate that understanding such complexity is essential for improving food system sustainability. The collection suggests that evolving agricultural practices fundamentally shape ecosystem structure in ways that merit closer evolutionary scrutiny.

UK applicability

The findings are likely applicable to UK agriculture, where intensification and simplification of cropping systems remain prevalent. Understanding evolutionary complexity in these systems could inform sustainable intensification strategies and soil management practices relevant to UK farming policy and practice.

Key measures

The special issue collectively examines phenotypic and genetic variation, biotic interactions, and microbial community structure across crop production systems under different agricultural practices.

Outcomes reported

This editorial synthesises research demonstrating unforeseen complexity across multiple levels of agricultural systems, from microbial communities to food webs. It integrates findings on phenotypic and genetic responses, biotic interactions, and microbial roles within the context of evolving agricultural practices.

Theme
Farming systems, soils & land use
Subject
Soil biology & microbiology
Study type
Narrative Review
Study design
Narrative review
Source type
Peer-reviewed study
Status
Published
Geography
International
System type
Mixed farming
DOI
10.1111/eva.13490
Catalogue ID
SNmov0hb7d-tlp4bq

Topic tags

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