Evidence map›Paper›PMID 41841597›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Bioenergy Cropping Reduces the Spatiotemporal Scaling of Soil Bacterial Biodiversity.

Zhencheng Ye, Jialiang Kuang, Colin T Bates, Arthur Escalas, Daliang Ning, Liyou Wu, Suo Liu, Sihang Deng, Jiesi Lei, Xiangwen Chen and 10 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Bioenergy Cropping Reduces the Spatiotemporal Scaling of Soil Bacterial Biodiversity.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Zhencheng YeState Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China.
Jialiang KuangThe Institute for Environmental Genomics, University of Oklahoma, Norman, Oklahoma, USA.
Colin T BatesThe Institute for Environmental Genomics, University of Oklahoma, Norman, Oklahoma, USA.
Arthur EscalasMARBEC, University of Montpellier, Montpellier, France.
Daliang NingThe Institute for Environmental Genomics, University of Oklahoma, Norman, Oklahoma, USA.
Liyou WuThe Institute for Environmental Genomics, University of Oklahoma, Norman, Oklahoma, USA.
Suo LiuState Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China.
Sihang DengState Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China.
Jiesi LeiState Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China.
Xiangwen ChenCollege of Environment and Energy, South China University of Technology, Guangzhou, China.
Jennifer Pett-RidgePhysical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA, USA.
Malay SahaNoble Research Institute, Ardmore, Oklahoma, USA.
Lauren HaleThe Institute for Environmental Genomics, University of Oklahoma, Norman, Oklahoma, USA.
Gangsheng WangState Key Laboratory of Water Resources Engineering and Management, and Institute for Water-Carbon Cycles and Carbon Neutrality, Wuhan University, Wuhan, China.
Renmao TianThe Institute for Environmental Genomics, University of Oklahoma, Norman, Oklahoma, USA.
Ying FuThe Institute for Environmental Genomics, University of Oklahoma, Norman, Oklahoma, USA.
Yu TangInstitute of Environment and Ecology, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China.
Mary FirestoneDepartment of Environmental Science, Policy and Management, University of California, Berkeley, California, USA.
Jizhong ZhouThe Institute for Environmental Genomics, University of Oklahoma, Norman, Oklahoma, USA.
Yunfeng YangState Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China.ORCID https://orcid.org/0000-0001-8274-6196

Funding

Hainan Institute of National Park KY-23ZK01Lawrence Berkeley National Laboratory AC52-07NA27344Lawrence Berkeley National Laboratory EF-2025558Lawrence Berkeley National Laboratory SCW1555Lawrence Livermore National Laboratory (LLNL)National Natural Science Foundation of China 32161123002Nobel Research InstituteOffice of Biological and Environmental Research Genomic Science program DE-SC0014079Office of ScienceUC BerkeleyUniversity of Oklahoma
6 · The paper itself

Abstract

Widespread bioenergy cropping can transform landscapes, strongly affecting biodiversity. However, the impact of bioenergy cropping on the spatiotemporal scaling of soil biodiversity remains virtually unknown, despite its profound implications for the functioning of the ecological community. Here, we investigated how bioenergy cropping influenced the spatiotemporal scaling of soil bacterial biodiversity in marginal soils (sandy loam and clay loam soils) in Oklahoma, USA. We detected strong, significant species-time-area relationships (STARs) and phylogenetic-time-area relationships (PTARs) in bacterial communities and their lineages, suggesting that STARs and PTARs exist in microbial ecology within the studied system. Also, spatiotemporal scaling rates (the slopes of STAR and PTAR models) varied substantially among bacterial lineages and were positively correlated with their 16S rRNA gene copy numbers, a genomic trait indicative of microbial growth potentials. Strikingly, bioenergy cropping significantly reduced spatiotemporal scaling rates by 6.8%-14.1%, with a more pronounced reduction observed in sandy loam soils, where those rates were significantly lower than in clay loam soils. The heterogeneity of soil phosphorus and carbon resulted in variations in bacterial spatiotemporal scaling rates. Collectively, our findings suggest that bioenergy cropping may alleviate rapid shifts in soil biodiversity across space and time, thereby stabilizing soil biodiversity and supporting its role as part of sustainable land management and climate mitigation strategies.

Indexed as

AgricultureBacteriaBiodiversityBiofuelsSoilSoil MicrobiologyOklahomaPhylogenyRNA, Ribosomal, 16SBiofuelsRNA, Ribosomal, 16SSoilbacterial diversitybioenergy croppingspatial scalingspecies‐time‐area relationshiptemporal scaling

Identifiers

PMID41841597
PMCPMC13205762

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.