Evidence map›Paper›PMID 38807517›Full record

ArticleProceedings. Biological sciences2024

Resilience assessment in complex natural systems.

Camilla Sguotti, Paraskevas Vasilakopoulos, Evangelos Tzanatos, Romain Frelat

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Stress and resilience in northern European marine ecosystems.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Resilience assessment in complex natural systems.Proceedings. Biological sciences · 2024
    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

4 authors.

Camilla SguottiDepartment of Biology, University of Padova , Padova 35100, Italy.ORCID 0000-0002-3019-6273
Paraskevas VasilakopoulosEuropean Commission, Joint Research Centre (JRC) , Ispra, Italy.
Evangelos TzanatosDepartment of Biology, University of Patras , Patras 26504, Greece.
Romain FrelatPO Box 30709, International Livestock Research Institute , Nairobi 00100, Kenya.

Funding

Bundesministerium für Bildung und ForschungH2020 Research and Innovation ProgramHORIZON EUROPE Marie Sklodowska-Curie Actions
6 · The paper itself

Abstract

Ecological resilience is the capability of an ecosystem to maintain the same structure and function and avoid crossing catastrophic tipping points (i.e. undergoing irreversible regime shifts). While fundamental for management, concrete ways to estimate and interpret resilience in real ecosystems are still lacking. Here, we develop an empirical approach to estimate resilience based on the stochastic

Indexed as

Climate ChangeEcosystemAnimalsConservation of Natural ResourcesGadus morhuaMediterranean SeaModels, Biologicalclimate changeecosystem-based managementregime shiftsresiliencestochastic cusp modeltipping points

Identifiers

PMID38807517
PMCPMC11286151

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.