ArticleThe ISME journal2018
Individual-level trait diversity predicts phytoplankton community properties better than species richness or evenness.
Article in The ISME journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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.
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.
Who cites it
13 citing papers in PubMed.
- Individual-Level Trait Responses in Cyanobacterial Populations and Communities.Ecology letters · 2026Article
- Trade-offs between receptor modification and fitness drive host-bacteriophage co-evolution leading to phage extinction or co-existence.The ISME journal · 2024Article
- An integrated individual-level trait-based phytoplankton dataset from transitional waters.Scientific data · 2023Article
- A species-level trait dataset of bats in Europe and beyond.Scientific data · 2023Article
- Article
- Reproductive trait differences drive offspring production in urban cavity-nesting bees and wasps.Ecology and evolution · 2021Article
- How to Improve the Predictions of Plant Functional Traits on Ecosystem Functioning?Frontiers in plant science · 2021Article
- Functional redundancy in natural pico-phytoplankton communities depends on temperature and biogeography.Biology letters · 2020Article
- Light, but Not Nutrients, Drives Seasonal Congruence of Taxonomic and Functional Diversity of Phytoplankton in a Eutrophic Highland Lake in China.Frontiers in plant science · 2020Article
- Company matters: The presence of other genotypes alters traits and intraspecific selection in an Arctic diatom under climate change.Global change biology · 2019Article
- Light limitation increases multidimensional trait evenness in phytoplankton populations.The ISME journal · 2019Article
- Coculturing Bacteria Leads to Reduced Phenotypic Heterogeneities.Applied and environmental microbiology · 2019Article
- Managing Agroecosystems for Soil Microbial Carbon Use Efficiency: Ecological Unknowns, Potential Outcomes, and a Path Forward.Frontiers in microbiology · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Understanding how microbial diversity influences ecosystem properties is of paramount importance. Cellular traits-which determine responses to the abiotic and biotic environment-may help us rigorously link them. However, our capacity to measure traits in natural communities has thus far been limited. Here we compared the predictive power of trait richness (trait space coverage), evenness (regularity in trait distribution) and divergence (prevalence of extreme phenotypes) derived from individual-based measurements with two species-level metrics (taxonomic richness and evenness) when modelling the productivity of natural phytoplankton communities. Using phytoplankton data obtained from 28 lakes sampled at different spatial and temporal scales, we found that the diversity in individual-level morphophysiological traits strongly improved our ability to predict community resource-use and biomass yield. Trait evenness-the regularity in distribution of individual cells/colonies within the trait space-was the strongest predictor, exhibiting a robust negative relationship across scales. Our study suggests that quantifying individual microbial phenotypes in trait space may help us understand how to link physiology to ecosystem-scale processes. Elucidating the mechanisms scaling individual-level trait variation to microbial community dynamics could there improve our ability to forecast changes in ecosystem properties across environmental gradients.
Indexed as
Identifiers
What OpenQuestion holds
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.