Articles | Volume 23, issue 13
https://doi.org/10.5194/bg-23-4873-2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
Heterogeneity of tropical diversity and ecosystems: reefal meiofaunas in equatorial western and eastern African islands
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- Final revised paper (published on 15 Jul 2026)
- Supplement to the final revised paper
- Preprint (discussion started on 02 Mar 2026)
- Supplement to the preprint
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
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RC1: 'Comment on egusphere-2026-775', Olga Koukousioura, 06 Apr 2026
- AC1: 'Reply on RC1', Skye Yunshu Tian, 17 Jun 2026
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RC2: 'Comment on egusphere-2026-775', Marie-Béatrice Forel, 08 Jun 2026
- AC2: 'Reply on RC2', Skye Yunshu Tian, 17 Jun 2026
Peer review completion
AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
ED: Submit a revised manuscript (17 Jun 2026) by Paul Stoy
AR by Skye Yunshu Tian on behalf of the Authors (18 Jun 2026)
Author's response
Author's tracked changes
EF by Polina Shvedko (22 Jun 2026)
Manuscript
ED: Publish as is (28 Jun 2026) by Paul Stoy
AR by Skye Yunshu Tian on behalf of the Authors (02 Jul 2026)
This manuscript presents a high-quality and methodologically rigorous comparative analysis of benthic meiofaunal diversity, specifically focusing on Ostracoda and Foraminifera across the São Tomé-Príncipe (STP) (eastern Atlantic) and Zanzibar archipelagos (western Indian Ocean). Using a combination of standardized sampling and advanced statistical modeling (Hill numbers and GAMMs), the authors investigate how regional biogeography and local environmental drivers (e.g., coral cover, algae, and substrate type) influence community structure. The study highlights a stark "diversity disparity," with Zanzibar exhibiting significantly higher richness and more complex environmental partitioning compared to the relatively depauperate and homogeneous fauna of STP.
As the first comprehensive island-scale survey of ostracods for STP, the study fills a critical void in our understanding of tropical East Atlantic biodiversity and provides a holistic view of the "meiofaunal bottleneck" by comparing metazoan and protist responses to dispersal filters. The use of Hill numbers (effective number of species) is excellent for comparing datasets with varying sample sizes. The integration of Generalized Additive Mixed-effect Models (GAMM) effectively disentangles the relative contributions of environmental variables.
Zanzibar’s alpha and gamma diversity are more than twice that of STP, reflecting the broader "species-rich" nature of the Indo-Pacific vs. the isolated Atlantic. In Zanzibar, habitat heterogeneity (reefal vs. non-reefal) is the primary driver of community assembly. In STP, the fauna is largely homogeneous across different benthic covers, suggesting that isolation and regional filters override local environmental selection.
The high endemism in STP ostracods suggests that the archipelago acts more as a biogeographic "cul-de-sac" rather than a stepping stone, due to the efficiency of the Mid-Atlantic Barrier. Could you elaborate on this?
Suggestions for improvements
While the diversity indices are robust, the manuscript could benefit from a more detailed discussion on the specific functional traits of the endemic species found in STP.
The reliance on visual benthic cover (algae/coral/sand) is useful, but the absence of physical-chemical data (e.g., precise salinity) limits the ability to explain some of the "unexplained variance" in foraminiferal distributions. Are those data available?
The results show that foraminiferal evenness in Zanzibar follows a "more obscure pattern" than ostracods. The authors should hypothesize whether this is due to different dispersal capabilities or a higher sensitivity to micro-scale environmental fluctuations not captured in the current model.
While the GAMM plots are informative, a simplified schematic showing the "Environmental Filtering Model" vs. the "Biogeographic Isolation Model" would help summarize the key findings for a broader audience.
Are the species names in the appendices cross-referenced with updated WoRMS (World Register of Marine Species) databases, particularly for the endemic STP taxa.
This manuscript is a high-quality contribution to tropical marine biology and biogeography. The data is sound, and the conclusions are supported by robust statistical evidence. I recommend minor revisions to address the depth of the ecological discussion regarding foraminiferal patterns and further contextualization of the Atlantic results.