Evidence map›Paper›PMID 33976117›Full record

ArticleNature communications2021

Linking functional traits and demography to model species-rich communities.

Loïc Chalmandrier, Florian Hartig, Daniel C Laughlin, Heike Lischke, Maximilian Pichler, Daniel B Stouffer, Loïc Pellissier

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Using ancient sedimentary DNA to forecast ecosystem trajectories under climate change.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Modelling coupled human-environment complexity for the future of the biosphere: strengths, gaps and promising directions.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Review
  16. 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

7 authors.

Loïc ChalmandrierLandscape Ecology, Institute of Terrestrial Ecosystems, ETH Zurich, Zürich, Switzerland. loic.chalmandrier@biologie.uni-regensburg.de.ORCID 0000-0002-2631-0432
Florian HartigTheoretical Ecology, Faculty of Biology and Pre-Clinical Medicine, University of Regensburg, Regensburg, Germany.ORCID 0000-0002-6255-9059
Daniel C LaughlinDepartment of Botany, University of Wyoming, Laramie, WY, USA.
Heike LischkeDynamic Macroecology, Land Change Science, Swiss Federal Research Institute WSL, Birmensdorf, Switzerland.ORCID 0000-0003-4284-5194
Maximilian PichlerTheoretical Ecology, Faculty of Biology and Pre-Clinical Medicine, University of Regensburg, Regensburg, Germany.ORCID 0000-0003-2252-8327
Daniel B StoufferCentre for Integrative Ecology, University of Canterbury, School of Biological Sciences, Christchurch, Canterbury, New Zealand.ORCID 0000-0001-9436-9674
Loïc PellissierLandscape Ecology, Institute of Terrestrial Ecosystems, ETH Zurich, Zürich, Switzerland. loic.pellissier@usys.ethz.ch.ORCID 0000-0002-2289-8259

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It has long been anticipated that relating functional traits to species demography would be a cornerstone for achieving large-scale predictability of ecological systems. If such a relationship existed, species demography could be modeled only by measuring functional traits, transforming our ability to predict states and dynamics of species-rich communities with process-based community models. Here, we introduce a new method that links empirical functional traits with the demographic parameters of a process-based model by calibrating a transfer function through inverse modeling. As a case study, we parameterize a modified Lotka-Volterra model of a high-diversity mountain grassland with static plant community and functional trait data only. The calibrated trait-demography relationships are amenable to ecological interpretation, and lead to species abundances that fit well to the observed community structure. We conclude that our new method offers a general solution to bridge the divide between trait data and process-based models in species-rich ecosystems.

Indexed as

EcosystemBiodiversityPhenotypePlants

Identifiers

PMID33976117
PMCPMC8113445

What OpenQuestion holds

Textmetadata
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.