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

Century long fertilization reduces stochasticity controlling grassland microbial community succession

Yuting Liang, Daliang Ning, Zhenmei Lü, Na Zhang, Lauren Hale, Liyou Wu, Ian M. Clark, S. P. McGrath, Jonathan Storkey, P. R. Hirsch, Bo Sun, Jizhong Zhou

Soil Biology and Biochemistry · 2020

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Summary

This long-term field study, as suggested by the title, investigates how a century of fertilisation history shapes grassland soil microbial community dynamics. The work indicates that sustained fertilisation may reduce the stochastic (random) components of microbial succession, making community assembly more deterministic and predictable. This finding has implications for understanding how nutrient management practices structure belowground ecological processes and potentially microbial-driven soil functions.

UK applicability

The international authorship and field-trial methodology suggest findings may be relevant to UK grassland management, particularly long-term fertilisation experiments such as those at Rothamsted Research. However, applicability will depend on whether the study site climate, soil type, and fertiliser regimens match UK agricultural conditions.

Key measures

Microbial community composition, succession patterns, stochasticity indices, community assembly processes (deterministic vs. stochastic)

Outcomes reported

The study examined how a century of fertilisation practices altered the predictability and stochasticity of microbial community succession in grassland soils. Researchers compared microbial community assembly processes between fertilised and unfertilised grassland plots to determine whether long-term nutrient inputs reduce ecological randomness.

Theme
Farming systems, soils & land use
Subject
Soil biology & microbiology
Study type
Research
Study design
Field trial
Source type
Peer-reviewed study
Status
Published
Geography
International
System type
Pasture-based livestock
DOI
10.1016/j.soilbio.2020.108023
Catalogue ID
BFmou2m5p8-iy53kl

Topic tags

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