ArticleNature ecology & evolution2021
Soil microbiome predictability increases with spatial and taxonomic scale.
Article in Nature ecology & evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
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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.
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Who cites it
20 citing papers in PubMed, 58 citations in OpenAlex.
- Microbial biotechnology meets ecological theory: a unified framework to design industrial microbial consortia.International microbiology : the official journal of the Spanish Society for Microbiology · 2026Review
- Soil microbiome prediction using traditional machine learning and deep learning models.Scientific reports · 2026Article
- Spatial structure: shaping the ecology and evolution of microbial communities.FEMS microbiology reviews · 2026Review
- Consecutive monoculture of sweet potato reduces yield due to deteriorated soil health and disrupted nutrient cycling.Frontiers in microbiology · 2026Article
- Canopy reflectance as a predictor of soil microbial community composition and diversity at a continental scale.The New phytologist · 2026Article
- Relative abundances of bacterial phyla are strong indicators of community-scale microbial growth rates in soil.Environmental microbiome · 2025Article
- Integrating Microbial Community Data Into an Ecosystem-Scale Model to Predict Litter Decomposition in the Face of Climate Change.Global change biology · 2025Article
- Article
- The contribution of antimicrobials and antimicrobial resistance to climate change and a possible way to reverse it whilst still offering high quality healthcare-a conceptual analysis.Frontiers in public health · 2025Review
- Effect of forest structural attributes on soil microbial diversity in mixed temperate forests.Plant and soil · 2025Article
- Elevated methane flux in a tropical peatland post-fire is linked to depth-dependent changes in peat microbiome assembly.NPJ biofilms and microbiomes · 2024Article
- The temperate forest phyllosphere and rhizosphere microbiome: a case study of sugar maple.Frontiers in microbiology · 2024Review
- Effect of long-term in-row branch covering on soil microorganisms in pear orchards.Open life sciences · 2024Article
- Unravelling Metabolic Heterogeneity of Chinese Baijiu Fermentation in Age-Gradient Vessels.Foods (Basel, Switzerland) · 2023Article
- Predicting microbial community compositions in wastewater treatment plants using artificial neural networks.Microbiome · 2023Article
- Compositionality, sparsity, spurious heterogeneity, and other data-driven challenges for machine learning algorithms within plant microbiome studies.Current opinion in plant biology · 2023Review
- Understory vegetation diversity, soil properties and microbial community response to different thinning intensities inFrontiers in microbiology · 2023Article
- Pathways for Understanding Blue Carbon Microbiomes with Amplicon Sequencing.Microorganisms · 2022Article
- The National Ecological Observatory Network's soil metagenomes: assembly and basic analysis.F1000Research · 2021Article
- Mussels and Local Conditions Interact to Influence Microbial Communities in Mussel Beds.Frontiers in microbiology · 2021Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Soil microorganisms shape ecosystem function, yet it remains an open question whether we can predict the composition of the soil microbiome in places before observing it. Furthermore, it is unclear whether the predictability of microbial life exhibits taxonomic- and spatial-scale dependence, as it does for macrobiological communities. Here, we leverage multiple large-scale soil microbiome surveys to develop predictive models of bacterial and fungal community composition in soil, then test these models against independent soil microbial community surveys from across the continental United States. We find remarkable scale dependence in community predictability. The predictability of bacterial and fungal communities increases with the spatial scale of observation, and fungal predictability increases with taxonomic scale. These patterns suggest that there is an increasing importance of deterministic versus stochastic processes with scale, consistent with findings in plant and animal communities, suggesting a general scaling relationship across biology. Biogeochemical functional groups and high-level taxonomic groups of microorganisms were equally predictable, indicating that traits and taxonomy are both powerful lenses for understanding soil communities. By focusing on out-of-sample prediction, these findings suggest an emerging generality in our understanding of the soil microbiome, and that this understanding is fundamentally scale dependent.
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Registered trials
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.