Evidence map›Paper›PMID 34642248›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

Linking species traits and demography to explain complex temperature responses across levels of organization.

Daniel J Wieczynski, Pranav Singla, Adrian Doan, Alexandra Singleton, Ze-Yi Han, Samantha Votzke, Andrea Yammine, Jean P Gibert

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
13.0field-weighted citation impact, top 1% of its field
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

24 citing papers in PubMed, 80 citations in OpenAlex.

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  6. A theoretical framework for scaling ecological niches from individuals to species.Proceedings of the National Academy of Sciences of the United States of America · 2025
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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

8 authors at 1 institution in 1 country.

Daniel J WieczynskiDepartment of Biology, Duke University, Durham, NC 27708 daniel.wieczynski@duke.edu.ORCID 0000-0003-4090-2677
Pranav SinglaDepartment of Biology, Duke University, Durham, NC 27708.
Adrian DoanDepartment of Biology, Duke University, Durham, NC 27708.
Alexandra SingletonDepartment of Biology, Duke University, Durham, NC 27708.ORCID 0000-0002-6588-7293
Ze-Yi HanDepartment of Biology, Duke University, Durham, NC 27708.
Samantha VotzkeDepartment of Biology, Duke University, Durham, NC 27708.ORCID 0000-0001-8337-921X
Andrea YammineDepartment of Biology, Duke University, Durham, NC 27708.
Jean P GibertDepartment of Biology, Duke University, Durham, NC 27708.ORCID 0000-0002-5083-6418
Duke University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial communities regulate ecosystem responses to climate change. However, predicting these responses is challenging because of complex interactions among processes at multiple levels of organization. Organismal traits that determine individual performance and ecological interactions are essential for scaling up environmental responses from individuals to ecosystems. We combine protist microcosm experiments and mathematical models to show that key traits-cell size, shape, and contents-each explain different aspects of species' demographic responses to changes in temperature. These differences in species' temperature responses have complex cascading effects across levels of organization-causing nonlinear shifts in total community respiration rates across temperatures via coordinated changes in community composition, equilibrium densities, and community-mean species mass in experimental protist communities that tightly match theoretical predictions. Our results suggest that traits explain variation in population growth, and together, these two factors scale up to influence community- and ecosystem-level processes across temperatures. Connecting the multilevel microbial processes that ultimately influence climate in this way will help refine predictions about complex ecosystem-climate feedbacks and the pace of climate change itself.

Indexed as

MicrobiotaTemperatureClimate ChangeEcosystemSpecies Specificityclimate changecommunity ecologyecosystem functioningmicrobial diversitytemperature

Identifiers

PMID34642248
PMCPMC8545467
OpenAlexW3206392709

What OpenQuestion holds

Textmetadata
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.