The biogeography of evolutionary radiations on oceanic archipelagos

This article has been Reviewed by the following groups

Read the full article See related articles

Discuss this preprint

Start a discussion What are Sciety discussions?

Listed in

Log in to save this article

Abstract

Evolutionary radiations on oceanic archipelagos (ROAs) have long served as models for understanding evolutionary and ecological processes underlying species diversification. Yet, diversity patterns emerging from ROAs have received relatively little attention from biogeographers, even though characterizing the effect of key geo-environmental factors on island clade species could be important for unraveling diversification dynamics. In this study, we conducted a comparative analysis using island-specific species richness values for approximately one hundred ROAs across major oceanic archipelagos (mostly Hawaii, Canary Islands, Galápagos and Fiji) and taxa (vascular plants, invertebrates and vertebrates). Our aim was to determine whether (1) ROA species richness patterns scale as a function of key geo-environmental factors including island area, geological age, environmental heterogeneity (elevation and topographic complexity) and inter-island isolation, and (2) whether the magnitude of the effects of these factors varies across archipelagos and taxa. Our results identified elevation as a key driver of ROA species richness patterns on islands, supporting existing theoretical and empirical work that highlighted the central role of environmental heterogeneity in driving diversification on oceanic islands. As importantly, we found that the influence of geo-environmental factors varies across archipelagos and taxa, suggesting that unique archipelagic dynamics and biological traits together shape diversification differently. Our findings emphasize the value of applying biogeographical modeling at the resolution of individual radiations to improve our understanding of evolutionary processes on oceanic archipelagos.

Article activity feed

  1. Island biogeography has long inspired theory, yet quantitative tests of how within-radiation diversity scales with island properties remain scarce. Brée et al. (2024) assembled a nicely curated dataset of 95 evolutionary radiations (ROAs) distributed across four classic volcanic archipelagos—Hawaii, the Canary Islands, the Galápagos and Fiji—encompassing vascular plants, invertebrates and vertebrates. By pairing island-specific species counts for each radiation with a common suite of geo-environmental descriptors, the authors ask two deceptively simple questions: (i) which island traits best explain richness patterns inside radiations, and (ii) does the strength of those effects vary among archipelagos and broad taxonomic groupings?
    Across the whole dataset, maximum elevation emerges as the most frequent and robust positive predictor of intra-radiation richness. I find this result persuasive because it echoes broader evidence that steep environmental gradients boost speciation by multiplying ecological opportunities (Barajas-Barbosa et al. 2020; Steinbauer et al. 2016).
    Although elevation dominates overall, the strength and sign of other drivers vary with geological context. In Hawaii, richness tends to rise with island area and with a measure of topographic complexity, whereas in the Canaries a hump-shaped relationship with island age combines with a negative effect of inter-island isolation; Fiji shows a similarly strong age signal but little isolation effect, and the Galápagos yield no single dominant factor. Such contrasts fit neatly within the general dynamic model oceanic island biogeography, which predicts that the diversification process shifts as islands move through their ontogeny (Whittaker et al. 2008).
    A notable virtue of the study is its resolution at the level of clades rather than whole biotas. Treating each radiation as an independent replicate avoids the taxonomic pooling that can obscure lineage-specific responses. For example, Brée et al. (2024) show that elevation effects are stronger for plant radiations than for invertebrates in the Canaries but not in Hawaii, demonstrating an interaction between intrinsic life-history traits and extrinsic environment.
    The authors candidly discuss limits of coverage—Hawaii and the Canaries still dominate island-radiation research and explain why formal classification of speciation modes was premature given current phylogenetic evidence. Time since colonisation, although difficult to estimate consistently, could further refine the observed age–diversity relationships. Even so, the present analysis already sets a benchmark for clade-level biogeographic modelling.


    In sum, I am pleased to recommend this pre-print as it demonstrates convincingly that vertical relief—and the ecological heterogeneity it proxies—serves as the principal engine of speciation on young oceanic islands, while the influence of area, age and isolation is contingent on geological history and lineage traits. Their synthesis advances island biogeography by moving beyond the classical focus on total species counts to illuminate the environmental controls on diversification within lineages. This work will interest researchers in macroevolution, community ecology and conservation, and it supplies a rich openly accessible dataset for future comparative work.


    The data editor's report can be found below:

    Editor: Matthias Grenié

    1. Data

    Data and metadata must be archived and adhere to FAIR guiding principles

    [x] Data are in a public repository

    [x] Data repository has a persistent identifier (e.g., a DOI)

    [x] Data are cited in the manuscript (in data availability statement or similar, as well as in the Literature Cited)

    [x] Data repository has a license

    [x] All necessary data files are present in the repository

    [x] All raw data present

    If not:

    [ ] Information on where raw data are located - (NOT APPLICABLE) ​

    [ ] Information about how to access the raw data - (NOT APPLICABLE) ​

    [ ] Sufficient information about database version/filtering/processing/exclusion criteria - (NOT APPLICABLE) ​

    [x] All processed data present

    [x] Data are contained in an interoperable format

    [x] Tabular data - csv, tsv

    [ ] Photos - (NOT APPLICABLE) 

    [ ] Videos - (NOT APPLICABLE)

    [x] Metadata present (including README file)

    [x] Metadata adequate  (including README file)


    Archived data corresponds with the data reported in the manuscript

    [x] Variables used in analysis present in the data

    [x] The structure of the data presented matches the manuscript (e.g., it is the right size)

     

    2. Code

    Code and metadata must be archived and adhere to FAIR guiding principles

    [x] Code has a repository

    [x] Code repository has a DOI

    [x] Code is cited in manuscript

    [x] Code repository has a license

    [x] Code files are present in the repository

    [x] Code is contained in an interoperable format

    [x] Metadata present (README file and annotations in code)

    [x] Metadata adequate


    Archived code matches the manuscript

    |x] Code is present for all analyses in the manuscript, along with code used to produce figures/tables where appropriate


    Archived code runs with the archived data

    [x] Runs without errors

     

    3. Computational reproducibility

    Results can be computationally reproduced by running the archived code 

    [x] Numeric results (in table or text)

    [x] Figures


    —--------


    Comments from the data editor:

    Thank you for sharing your data and code openly!

    All of the analyses ran fine on my machine without a bug and the last minor details have now been fixed.


    References

    Baptiste Brée, Thomas J. Matthews, José María Fernandez-Palacios, Christian Paroissin, Kostas A. Triantis, Robert J. Whittaker, François Rigal (2024) The biogeography of evolutionary radiations on oceanic archipelagos. bioRxiv, ver.2 peer-reviewed and recommended by PCI Ecology https://doi.org/10.1101/2024.10.07.616413

    Barajas-Barbosa, M. P., Weigelt, P., Borregaard, M. K., Keppel, G., & Kreft, H. (2020). Environmental heterogeneity dynamics drive plant diversity on oceanic islands. Journal of Biogeography, 47(10), 2248–2260. https://doi.org/10.1111/jbi.13925 

    Steinbauer, M. J., Field, R., Grytnes, J.-A., Trigas, P., Ah-Peng, C., Attorre, F., Birks, H. J. B., Borges, P. A. V., Cardoso, P., Chou, C.-H., De Sanctis, M., de Sequeira, M. M., Duarte, M. C., Elias, R. B., Fernández-Palacios, J. M., Gabriel, R., Gereau, R. E., Gillespie, R. G., Greimler, J., … Beierkuhnlein, C. (2016). Topography-driven isolation, speciation and a global increase of endemism with elevation. Global Ecology and Biogeography: A Journal of Macroecology, 25(9), 1097–1107. https://doi.org/10.1111/geb.12469

    Whittaker, R. J., Triantis, K. A., & Ladle, R. J. (2008). A general dynamic theory of oceanic island biogeography. Journal of Biogeography, 35(6), 977–994. https://doi.org/10.1111/j.1365-2699.2008.01892.x