Evidence map›Paper›PMID 39180003›Full record

ArticleBMC ecology and evolution2024

Identification of the mode of evolution in incomplete carbonate successions.

Niklas Hohmann, Joël R Koelewijn, Peter Burgess, Emilia Jarochowska

Abstract read
In one paragraph

Article in BMC ecology and evolution, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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.

Niklas HohmannFaculty of Geosciences, Department of Earth Sciences, Utrecht University, Vening Meinesz building A, Princetonlaan 8A, Utrecht, 3584 CB, The Netherlands. N.H.Hohmann@uu.nl.
Joël R KoelewijnFaculty of Geosciences, Department of Earth Sciences, Utrecht University, Vening Meinesz building A, Princetonlaan 8A, Utrecht, 3584 CB, The Netherlands.
Peter BurgessDepartment of Geology, University of Liverpool, Chatham St, Liverpool, L69 7ZT, UK.
Emilia JarochowskaFaculty of Geosciences, Department of Earth Sciences, Utrecht University, Vening Meinesz building A, Princetonlaan 8A, Utrecht, 3584 CB, The Netherlands.

Funding

European Research Council 101041077
6 · The paper itself

Abstract

backgroundThe fossil record provides the unique opportunity to observe evolution over millions of years, but is known to be incomplete. While incompleteness varies spatially and is hard to estimate for empirical sections, computer simulations of geological processes can be used to examine the effects of the incompleteness in silico. We combine simulations of different modes of evolution (stasis, (un)biased random walks) with deposition of carbonate platforms strata to examine how well the mode of evolution can be recovered from fossil time series, and how test results vary between different positions in the carbonate platform and multiple stratigraphic architectures generated by different sea level curves.

resultsStratigraphic architecture and position along an onshore-offshore gradient has only a small influence on the mode of evolution recovered by statistical tests. For simulations of random walks, support for the correct mode decreases with time series length. Visual examination of trait evolution in lineages shows that rather than stratigraphic incompleteness, maximum hiatus duration determines how much fossil time series differ from the original evolutionary process. Gradual directional evolution is more susceptible to stratigraphic effects, turning it into punctuated evolution. In contrast, stasis remains unaffected.

conclusions• Fossil time series favor the recognition of both stasis and complex, punctuated modes of evolution. • Not stratigraphic incompleteness, but the presence of rare, prolonged gaps has the largest effect on trait evolution. This suggests that incomplete sections with regular hiatus frequency and durations can potentially preserve evolutionary history without major biases. Understanding external controls on stratigraphic architectures such as sea level fluctuations is crucial for distinguishing between stratigraphic effects and genuine evolutionary process.

Indexed as

Biological EvolutionCarbonatesComputer SimulationFossilsGeologic SedimentsCarbonatesCarbonate platformFossil recordMode of evolutionPaleobiologyPaleontologyStratigraphyTime seriesTrait evolution

Identifiers

PMID39180003
PMCPMC11342597

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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.