Published September 12, 2018 | Version v1
Dataset Open

Data from: Explaining the ocean's richest biodiversity hotspot and global patterns of fish diversity

  • 1. University of Arizona
  • 2. Brown University
  • 3. Fudan University

Description

For most marine organisms, species richness peaks in the Central Indo-Pacific region and declines longitudinally, a striking pattern that remains poorly understood. Here, we used phylogenetic approaches to address the causes of richness patterns among global marine regions, comparing the relative importance of colonization time, number of colonization events, and diversification rates (speciation minus extinction). We estimated regional richness using distributional data for almost all percomorph fishes (17,435 species total, including ~72% of all marine fishes and ~33% of all freshwater fishes). The high diversity of the Central Indo-Pacific was explained by its colonization by many lineages 5.3–34 million years ago. These relatively old colonizations allowed more time for richness to build up through in-situ diversification compared to other warm-marine regions. Surprisingly, diversification rates were decoupled from marine richness patterns, with clades in low-richness cold-marine habitats having the highest rates. Unlike marine richness, freshwater diversity was largely derived from a few ancient colonizations, coupled with high diversification rates. Our results are congruent with the geological history of the marine tropics, and thus may apply to many other organisms. Beyond marine biogeography, we add to the growing number of cases where colonization and time-for-speciation explain large-scale richness patterns instead of diversification rates.

Notes

Funding provided by: National Science Foundation
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000001
Award Number: DGE-1143953; DEB 1655690

Files

Miller et al. Dryad September 11 2018.zip

Files (11.8 MB)

Name Size Download all
md5:480d67b76120b3a1c5876d25f33ac25f
11.8 MB Preview Download
md5:aee792da310803a0b7a96d1cd81f8af0
4.8 kB Preview Download

Additional details

Related works

Is cited by
10.1098/rspb.2018.1314 (DOI)