Evidence map›Paper›PMID 31854097›Full record

ArticleEcology letters2020

A 450 million years long latitudinal gradient in age-dependent extinction.

Daniele Silvestro, Silvia Castiglione, Alessandro Mondanaro, Carmela Serio, Marina Melchionna, Paolo Piras, Mirko Di Febbraro, Francesco Carotenuto, Lorenzo Rook, Pasquale Raia

Abstract readLetter
In one paragraph

Article in Ecology letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Survivorship Bias Explains Age-Dependent Extinction in Fossil Genera.bioRxiv : the preprint server for biology · 2026
    Article
  2. The fate of South America's endemic mammalian fauna in response to the most dramatic Cenozoic climate disruption.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Challenges in estimating species' age from phylogenetic trees.Global ecology and biogeography : a journal of macroecology · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. 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

10 authors.

Daniele SilvestroDepartment of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden.ORCID https://orcid.org/0000-0003-0100-0961
Silvia CastiglioneDipartimento di Scienze della Terra, dell'Ambiente e delle Risorse, Monte Sant'Angelo, Via Cinthia, 21, 80126, Napoli, Italy.ORCID https://orcid.org/0000-0002-6140-1495
Alessandro MondanaroDipartimento di Scienze della Terra, dell'Ambiente e delle Risorse, Monte Sant'Angelo, Via Cinthia, 21, 80126, Napoli, Italy.ORCID https://orcid.org/0000-0003-0325-7066
Carmela SerioDipartimento di Scienze della Terra, dell'Ambiente e delle Risorse, Monte Sant'Angelo, Via Cinthia, 21, 80126, Napoli, Italy.ORCID https://orcid.org/0000-0001-5256-5511
Marina MelchionnaDipartimento di Scienze della Terra, dell'Ambiente e delle Risorse, Monte Sant'Angelo, Via Cinthia, 21, 80126, Napoli, Italy.ORCID https://orcid.org/0000-0001-7919-4431
Paolo PirasDipartimento di Scienze Cardiovascolari, Respiratorie, Nefrologiche, Anestesiologiche e Geriatriche, "Sapienza", Rome, Italy.ORCID https://orcid.org/0000-0001-9832-2742
Mirko Di FebbraroDipartimento di Bioscienze e Territorio, University of Molise, C. da Fonte Lappone 15, 86090, Pesche, IS, Italy.ORCID https://orcid.org/0000-0001-8898-7046
Francesco CarotenutoDipartimento di Scienze della Terra, dell'Ambiente e delle Risorse, Monte Sant'Angelo, Via Cinthia, 21, 80126, Napoli, Italy.ORCID https://orcid.org/0000-0001-8343-723X
Lorenzo RookDipartimento di Scienze della Terra, Via G. La Pira, 4, 50121, Firenze, Italy.ORCID https://orcid.org/0000-0001-8923-5428
Pasquale RaiaDipartimento di Scienze della Terra, dell'Ambiente e delle Risorse, Monte Sant'Angelo, Via Cinthia, 21, 80126, Napoli, Italy.ORCID https://orcid.org/0000-0002-4593-8006

Funding

Swedish Foundation for Strategic ResearchSwedish Research Council 2015-04748
6 · The paper itself

Abstract

Leigh Van Valen famously stated that under constant conditions extinction probability is independent of species age. To test this 'law of constant extinction', we developed a new method using deep learning to infer age-dependent extinction and analysed 450 myr of marine life across 21 invertebrate clades. We show that extinction rate significantly decreases with age in > 90% of the cases, indicating that most species died out soon after their appearance while those which survived experienced ever decreasing extinction risk. This age-dependent extinction pattern is stronger towards the Equator and holds true when the potential effects of mass extinctions and taxonomic inflation are accounted for. These results suggest that the effect of biological interactions on age-dependent extinction rate is more intense towards the tropics. We propose that the latitudinal diversity gradient and selection at the species level account for this exceptional, yet little recognised, macroevolutionary and macroecological pattern.

Indexed as

BiodiversityExtinction, BiologicalAnimalsBiological EvolutionFossilsInvertebratesdeep learningfossil occurrences'law of constant extinction'mass extinctionneural networks

Identifiers

PMID31854097
PMCPMC7027860

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.