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 study leverages a century-long grassland fertilisation experiment to demonstrate how sustained nutrient management alters the assembly rules governing soil microbial communities. The key finding, as suggested by the title, is that long-term fertilisation reduces stochasticity in microbial succession—meaning nutrient-amended soils exhibit more predictable, deterministic patterns of microbial community development compared to unfertilised controls. This has implications for understanding soil functioning and resilience under different management regimes.

UK applicability

Given the study's location in the United Kingdom (likely the Rothamsted Research long-term experiments), findings are directly applicable to UK grassland and arable management policy and practice. Results inform understanding of how conventional versus low-input fertilisation strategies influence soil microbial stability and predictability, relevant to UK soil health and sustainable intensification objectives.

Key measures

Microbial community composition (likely 16S rRNA gene sequencing or metagenomic data); stochasticity indices; measures of deterministic vs. stochastic assembly processes

Outcomes reported

The study examined how a century of differential fertilisation regimes shaped grassland microbial community composition and the predictability of microbial succession. Researchers measured changes in stochasticity (randomness) in microbial community assembly over time under contrasting nutrient management.

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
United Kingdom
System type
Pasture-based livestock
DOI
10.1016/j.soilbio.2020.108023
Catalogue ID
BFmowc2359-b8m5j9

Topic tags

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