ArticleCommunications biology2026
Global patterns are key to understanding macroevolution.
Article in Communications biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Global patterns are key to understanding macroevolution.Communications biology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Regional diversification patterns are increasingly being used to investigate spatial heterogeneity in biodiversity evolution and its drivers. However, estimating and interpreting regional diversification rates is complicated by the fact that regional diversity fluctuations reflect multiple biological processes and may be more sensitive to temporal sampling bias than global patterns. Here, we assess the biological fidelity and sampling sensitivity of regional diversification rates using fossil occurrences of marine invertebrates. We show that immigrations and extirpations account for up to 76% of apparent plate-level generic turnover. Moreover, regional diversity fluctuations are more strongly shaped by preservation, sampling, and tectono-sedimentary history than global patterns. In widely distributed groups, global analyses integrate data across regions and environments, dampen region-specific biases, and recover a higher proportion of shared biological signal. Global analyses therefore remain indispensable for inferring macroevolutionary dynamics over deep time.
Indexed as
Identifiers
42850260What OpenQuestion holds
Registered trials
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.