Recommendation

Provincial-island endemism adds to our understanding of the geographical distribution of species

ORCID_LOGO based on reviews by Paulo Borges and 1 anonymous reviewer
A recommendation of:
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Scales of marine endemism in oceanic islands and the Provincial-Island endemism

Data used for results
Scripts used to obtain or analyze results

Abstract

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Submission: posted 13 July 2024, validated 03 August 2024
Recommendation: posted 06 April 2025, validated 06 April 2025
Cite this recommendation as:
Ulrich, W. (2025) Provincial-island endemism adds to our understanding of the geographical distribution of species. Peer Community in Ecology, 100751. 10.24072/pci.ecology.100751

Recommendation

Many ecological, evolutionary, biogeographic studies on animals and plants have focused on endemism (e.g. (Crisp et al., 2001; Kier et al., 2009; Matthews et al., 2024, 2022; Qian et al., 2024). Ecological hotspots were first defined on endemic species (Myers et al., 2000). Nevertheless, despite the fact that the concept of endemism is crucial in biogeography and also in palaeontology there is still no stringent definition of endemism and very different concepts of endemism are used. It is another example of a concept that tries to define the undefinable (Darwin, 1859). ‘Definitions’ are either based on geographic and genetic isolation (Myers et al., 2000; Qian et al., 2024) or founded in geometric approaches that define restricted range sizes (Kinzig and Harte, 2000). Often, an ad hoc concept is used to cover taxon specificity and the habitats studied. 

Pinheiro et al. (2025) focus on species restricted to oceanic islands and rightly remark that these work as cradles for species origination and also as museums that contribute to lineages persistence. However, they also notice that in the case of islands any definition of endemism from species occurring only on single islands would be too narrow. Rather, endemism shows a spatial scaling with an increasing number of species occurring of multiple islands. In this respect they introduce the concept of provincial-island endemism and study the importance of single and multiple-island endemic species to island biodiversity

Pinheiro et al. (2025) use data from 7,289 fish species associated with reef environments of 87 oceanic islands and 189 coastal reefs around the world. A strong negative correlation appeared between the number of endemic species and the number of islands they occur. This relationship directly translates into our assessment of whether an archipelago is rich or poor in endemics. Pinheiro et al. (2025) explicitly demonstrate this with the examples of the Hawaiian Islands and Rapa Nui. They conclude that biogeographers need to clarify whether they deal with single-island or multiple island endemics. We can adapt this distinction to terrestrial and freshwater habitats and differentiate between single and multiple restricted areas and water bodies, for instance rivers, lakes, alpine valleys, mountains, or deserts. 

Of course, the idea that endemism patterns are scale dependent is not new. Daru et al. (2020), Graham et al. (2018), or  Keil et al. (2015) already noticed the importance of spatial scale and Townsend Peterson and Watson (1998) introduced the partly equivalent concepts of weighted spatial and phylogenetic endemism that also contain the scaling component. Pinheiro et al. (2025) add to this by providing a sound analysis of the strength of the scaling component. They argue that fish endangerment categories and fishery limits might change when considering multiple island endemics. 

References

Crisp, M.D., Laffan, S., Linder, H.P., Monro, A., 2001. Endemism in the Australian flora. J. Biogeogr. 28, 183–198. https://doi.org/10.1046/j.1365-2699.2001.00524.x

Daru, B.H., Farooq, H., Antonelli, A., Faurby, S., 2020. Endemism patterns are scale dependent. Nat. Commun. 11, 2115. https://doi.org/10.1038/s41467-020-15921-6

Darwin, C., 1859. On the origin of species by means of natural selection, or the preservation of favoured races in the struggle for life. John Murray, London.

Graham, C.H., Storch, D., Machac, A., 2018. Phylogenetic scale in ecology and evolution. Glob. Ecol. Biogeogr. 27, 175–187. https://doi.org/10.1111/geb.12686

Keil, P., Storch, D., Jetz, W., 2015. On the decline of biodiversity due to area loss. Nat. Commun. 6, 8837. https://doi.org/10.1038/ncomms9837

Kier, G., Kreft, H., Lee, T.M., Jetz, W., Ibisch, P.L., Nowicki, C., Mutke, J., Barthlott, W., 2009. A global assessment of endemism and species richness across island and mainland regions. Proc. Natl. Acad. Sci. 106, 9322–9327. https://doi.org/10.1073/pnas.0810306106

Kinzig, A.P., Harte, J., 2000. Implications of Endemics–Area Relationships for Estimates of Species Extinctions. Ecology 81, 3305–3311. https://doi.org/10.1890/0012-9658(2000)081[3305:IOEARF]2.0.CO;2

Matthews, T.J., Triantis, K.A., Wayman, J.P., Martin, T.E., Hume, J.P., Cardoso, P., Faurby, S., Mendenhall, C.D., Dufour, P., Rigal, F., Cooke, R., Whittaker, R.J., Pigot, A.L., Thébaud, C., Jørgensen, M.W., Benavides, E., Soares, F.C., Ulrich, W., Kubota, Y., Sadler, J.P., Tobias, J.A., Sayol, F., 2024. The global loss of avian functional and phylogenetic diversity from anthropogenic extinctions. Science 386, 55–60. https://doi.org/10.1126/science.adk7898

Matthews, T.J., Wayman, J.P., Cardoso, P., Sayol, F., Hume, J.P., Ulrich, W., Tobias, J.A., Soares, F.C., Thébaud, C., Martin, T.E., Triantis, K.A., 2022. Threatened and extinct island endemic birds of the world: Distribution, threats and functional diversity. J. Biogeogr. 49, 1920–1940. https://doi.org/10.1111/jbi.14474

Myers, N., Mittermeier, R.A., Mittermeier, C.G., da Fonseca, G.A.B., Kent, J., 2000. Biodiversity hotspots for conservation priorities. Nature 403, 853–858. https://doi.org/10.1038/35002501

Pinheiro, H.T., Rocha, L.A., Quimbayo, J.P 2025. Scales of marine endemism in oceanic islands and the Provincial-Island endemism. bioRxiv, ver.2 peer-reviewed and recommended by PCI Ecology https://doi.org/10.1101/2024.07.12.603346

Qian, H., Mishler, B.D., Zhang, J., Qian, S., 2024. Global patterns and ecological drivers of taxonomic and phylogenetic endemism in angiosperm genera. Plant Divers. 46, 149–157. https://doi.org/10.1016/j.pld.2023.11.004

Townsend Peterson, A., Watson, D.M., 1998. Problems with areal definitions of endemism: the effects of spatial scaling. Divers. Distrib. 4, 189–194. https://doi.org/10.1046/j.1472-4642.1998.00021.x

Conflict of interest:
The recommender in charge of the evaluation of the article and the reviewers declared that they have no conflict of interest (as defined in the code of conduct of PCI) with the authors or with the content of the article. The authors declared that they comply with the PCI rule of having no financial conflicts of interest in relation to the content of the article.
Funding:
HTP thanks Fundação de Amparo à Pesquisa do Estado de São Paulo for funding (2019/24215-2) and fellowship (2021/07039-6), and Fundação Grupo O Boticário de Proteção à Natureza (grant 1141_20182). We are grateful for the support of donors who endorsed the California Academy of Sciences’ Hope for Reefs initiative and funding expeditions throughout oceanic islands of the Pacific, Indian and Atlantic oceans. L.A.R. was supported through a Rolex Award for Enterprise.

Evaluation round #1

DOI or URL of the preprint: https://doi.org/10.1101/2024.07.12.603346

Version of the preprint: 1

Author's Reply, 20 Mar 2025

Decision by ORCID_LOGO, posted 17 Oct 2024, validated 17 Oct 2024

Dear Dr Pinheiro

Thank your for your patience during the first round of review. I had considerable problems to attrakt two experts in the field for review. I have now received these reviews. The second referee is satisfied but wrote a very short evaluation. The first referee has made some very valuable recommendatons and comments. I agree with him. Therefore I invite you to resubmit a revisd version that point for point adresses the comments of the first referee.

Kind regards

Werner Ulrich  

Reviewed by ORCID_LOGO, 24 Sep 2024

The study presented in the manuscript addresses an important research question and provides significant insights into the marine endemism on oceanic islands. The authors have conducted a comprehensive and well-designed review.

However, the data used of the analyses will be vey useful to the readers of this manuscript to perform additional analyses. I undertsand that Data is curated by the senior author of this study JPQ (quimbayo.j.p@gmail.com), who is currently performing a data paper (in preparation). It will be important that this Data paper is published first and the authors add here the Link to the Data repository.

Moreover, I think that to this manuscript needs some additional Biogeographical analyses to have more interesting readership. As it is with only some descriptive Graphs and proportions of Single Island Endemics is quite poor.

I suggest performing at least some Beta Diversity analyses. The data can be analysed using Q-mode analysis, a statistical technique that focuses on understanding the relationships between objects—in this case, regions (archipelagos)—by examining their characteristics or descriptors, such as the species (taxa) found in each region. This approach contrasts with R-mode analysis, which instead explores the relationships between the descriptors themselves (e.g., taxa), based on how they are distributed across the objects (archipelagoes). In essence, Q-mode seeks to compare the regions with one another, while R-mode compares the species distributions across the regions.

In Q-mode, a key tool for understanding these relationships is the use of similarity coefficients, which are employed to measure the degree of association between different archipelagos. The authors can use binary data (presence/absence of species). By focusing on binary data, similarity coefficients can provide a clear picture of how similar or dissimilar regions are based on which species they share.

Non-metric multidimensional scaling (NMDS) or principal component analysis (PCA) can be used to visualize and assess the relationships between different archipelagos based on their species composition. NMDS is particularly well-suited for presence-absence data because it uses rank orders of distances rather than raw data

 

Reviewed by anonymous reviewer 1, 13 Oct 2024

This preprint is a well written piece that fits all the recommendations issued by the journal. In my opinion, it is recommendable for publication and I do not have any major comments.

Title and abstract

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Introduction

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Does the introduction build on relevant research in the field? [ ] Yes, [ ] No (please explain), [ ] I don’t know DOES NOT APPLY

Materials and methods

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Are the methods and statistical analyses appropriate and well described? [ ] Yes, [ ] No (please explain), [ ] I don’t know DOES NOT APPLY

Results

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Are the results described and interpreted correctly? [ ] Yes, [ ] No (please explain), [ ] I don’t know DOES NOT APPLY

Discussion

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Are the conclusions adequately supported by the results (without overstating the implications of the findings)? [ ] Yes, [ ] No (please explain), [ ] I don’t know DOES NOT APPLY

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