Land use intensity differently influences soil communities across a range of arable fields and grasslands

• Impacts of land use intensity (LUI) on the diversity of soil communities depend on land use type. • Different agricultural practices drive soil communities composition in arable vs grassland soils. • Understudied taxa like protists are a key element of soil network responses to LUI. • Land use type, rather than LUI, influences the complexity of the soil metacommunity network. While there is an emerging body of research showing the consequences of land use intensity on soil biodiversity, most studies focus on biodiversity responses to a single or a limited number of agricultural practices in controlled settings or at a single field site, neglecting that multiple practices are simultaneously applied by farmers in real agroecosystems. The combined effects of various agricultural practices have, until now, been largely overlooked in agroecosystems. Here, we conducted a field soil sampling campaign on 87 farms with two land use types (39 arable fields and 48 grasslands) to investigate the relationship between land use intensity, determined by various agricultural practices, and multiple soil communities (bacteria, fungi, protists and invertebrates) at regional scales. We found that land use intensity influenced the diversity and community composition of various soil taxa differently, and these impacts strongly depended on land use type. Soil fungi were most susceptible to land use intensity in both arable fields and grasslands. Specifically, irrigation and pest control were the main practices shaping soil communities in arable fields, while phosphorus and nitrogen fertilization were the main practices structuring soil communities in grasslands. Furthermore, an increase in land use intensity led to greater soil network complexity in arable fields. Our findings reveal regional on-farm patterns of land use intensity effects on various soil communities and identified key agricultural practices that structure soil communities. A key strength of this study is that these patterns can be generalized because the samples were collected from 87 farmlands where multiple agricultural practices were implemented simultaneously. Overall, this work provides a comprehensive perspective on the different responses of multiple soil communities and their associations to land use intensity in agroecosystems.

Authors

Institutions

Publication Details

Journal
Geoderma
Published
2025-02-01
DOI
https://doi.org/10.1016/j.geoderma.2025.117201
Citations
4
Primary Topic
Soil Carbon and Nitrogen Dynamics
Type
article
Field-Weighted Citation Impact
4.74

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Land use intensity differently influences soil communities across a range of arable fields and grasslands

Franciska T. de Vries, Chenguang Gao, Peter M. van Bodegom, Johanna Schild et al.
4 citations
Geoderma
Soil Carbon and Nitrogen Dynamics
4.74
article

Land use intensity differently influences soil communities across a range of arable fields and grasslands

Franciska T. de Vries, Chenguang Gao, Peter M. van Bodegom, Johanna Schild, Jan Hassink, Kevin K. Beentjes, Т. Martijn Bezemer, Gabriel Y.K. Moinet, N.J.M. van Eekeren
article en
4 citations

Abstract

• Impacts of land use intensity (LUI) on the diversity of soil communities depend on land use type. • Different agricultural practices drive soil communities composition in arable vs grassland soils. • Understudied taxa like protists are a key element of soil network responses to LUI. • Land use type, rather than LUI, influences the complexity of the soil metacommunity network. While there is an emerging body of research showing the consequences of land use intensity on soil biodiversity, most studies focus on biodiversity responses to a single or a limited number of agricultural practices in controlled settings or at a single field site, neglecting that multiple practices are simultaneously applied by farmers in real agroecosystems. The combined effects of various agricultural practices have, until now, been largely overlooked in agroecosystems. Here, we conducted a field soil sampling campaign on 87 farms with two land use types (39 arable fields and 48 grasslands) to investigate the relationship between land use intensity, determined by various agricultural practices, and multiple soil communities (bacteria, fungi, protists and invertebrates) at regional scales. We found that land use intensity influenced the diversity and community composition of various soil taxa differently, and these impacts strongly depended on land use type. Soil fungi were most susceptible to land use intensity in both arable fields and grasslands. Specifically, irrigation and pest control were the main practices shaping soil communities in arable fields, while phosphorus and nitrogen fertilization were the main practices structuring soil communities in grasslands. Furthermore, an increase in land use intensity led to greater soil network complexity in arable fields. Our findings reveal regional on-farm patterns of land use intensity effects on various soil communities and identified key agricultural practices that structure soil communities. A key strength of this study is that these patterns can be generalized because the samples were collected from 87 farmlands where multiple agricultural practices were implemented simultaneously. Overall, this work provides a comprehensive perspective on the different responses of multiple soil communities and their associations to land use intensity in agroecosystems.

GeodermaVol. 454
Leiden University (NL), Naturalis Biodiversity Center (NL), Netherlands Environmental Assessment Agency (NL), University of Applied Sciences Leiden (NL), Institute for Biodiversity (DE), Louis Bolk Instituut (NL), University of Amsterdam (NL), Wageningen University & Research (NL)
Nederlandse Organisatie voor Wetenschappelijk Onderzoek, Ministerie van Economische Zaken en Klimaat, Wageningen University and Research
Zero hunger
Openalex Percentile: Top 7%
Soil Carbon and Nitrogen Dynamics
4.74
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.