Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

Maize-alfalfa intercropping alleviates the dependence of multiple ecosystem services on nonrenewable fertilization

Dongxue Tao, Manuel Delgado‐Baquerizo, Guiyao Zhou, Daniel Revillini, Qiang He, Clifford S. Swanson, Yingzhi Gao

Agriculture Ecosystems & Environment · 2024

Read source ↗ All evidence

Summary

This 2024 field study investigates maize–alfalfa intercropping as a strategy to reduce dependence on nonrenewable synthetic fertiliser whilst maintaining multiple ecosystem services. The research, conducted in collaboration with soil ecologists, suggests that intercropping legumes with maize can enhance nutrient cycling and soil biological function, thereby lowering fertiliser demand without proportional losses in ecosystem service delivery. The findings contribute to understanding how diversified cropping systems can improve agricultural sustainability.

UK applicability

Maize cultivation is limited in the UK climate; however, the intercropping principles—particularly legume integration for nitrogen fixation and reduced fertiliser dependence—are directly applicable to UK arable systems using indigenous legume crops or cover crops. The soil biology and nutrient cycling mechanisms demonstrated may inform sustainable intensification strategies in temperate mixed farming.

Key measures

Ecosystem service provision, nitrogen cycling, soil microbial community composition, fertiliser requirement, crop yield, soil health indicators

Outcomes reported

The study evaluated how maize–alfalfa intercropping systems affect multiple ecosystem services and their reliance on synthetic fertiliser inputs. The research measured changes in soil properties, nutrient cycling, and ecosystem function under intercropped versus monoculture management.

Theme
Farming systems, soils & land use
Subject
Agroforestry & intercropping
Study type
Research
Study design
Field trial
Source type
Peer-reviewed study
Status
Published
Geography
United States
System type
Mixed farming
DOI
10.1016/j.agee.2024.109141
Catalogue ID
SNmok1w3x8-oidndj

Topic tags

Pulse AI · ask about this record

Dig deeper with Pulse AI.

Pulse AI has read the whole catalogue. Ask about this record, its theme, or how the findings apply to UK farming and policy — every answer cites the underlying studies.