Fish community composition in the tropical archipelago of São Tomé and Príncipe

PLoS One. 2024 Nov 1;19(11):e0312849. doi: 10.1371/journal.pone.0312849. eCollection 2024.

Abstract

Understanding species distribution across habitats and environmental variables is important to inform area-based management. However, observational data are often lacking, particularly from developing countries, hindering effective conservation design. One such data-poor area is the Gulf of Guinea, an understudied and biodiverse region where coastal waters play a critical role in coastal livelihoods. Here, we describe the results of the largest national-scale Baited Remote Underwater Video Systems (BRUVS) survey in the region, aiming to understand the effects of several environmental variables on fish community composition and diversity. From 2018 to 2020, we successfully deployed 417 benthic BRUVS in the coastal waters of the São Tomé and Príncipe (STP) archipelago. Species richness and relative abundance were higher in deeper waters, on steeper slopes, and in rocky reef habitats. Nevertheless, maerl and sand habitats also hosted unique, and economically important species. Our results potentially indicate historical impacts of fishing in the archipelago, especially in São Tomé Island, where observed fishing effort is higher. Indeed, abundance of large predatory fish was low in both islands and abundance of species targeted by artisanal fisheries was lower in São Tomé than in Príncipe. Our results provide crucial information supporting the designation and future monitoring of marine protected areas in STP.

MeSH terms

  • Animals
  • Biodiversity*
  • Conservation of Natural Resources* / methods
  • Ecosystem*
  • Fisheries
  • Fishes* / physiology

Grants and funding

Fieldwork described here was undertaken within the project “Establishing a network of marine protected areas across São Tomé and Príncipe through a co-management approach” and was funded by Blue Action Fund and Arcadia Fund for Nature ‐ a charitable fund of Lisbet Rausing and Peter Baldwin. Preliminary work was funded by the Darwin Initiative ‐ a UK government grant scheme (Project 23–012), Forever Príncipe and Halpin Trust. G.P. acknowledges funding from Fundação para a Ciência e Tecnologia (FCT) doctoral grant nº UI/BD/151263/2021. A.N. acknowledges the support of the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska‐Curie grant agreement SocioEcoFrontiers No. 843865. K.M. acknowledges funding support from the Darwin Initiative (Project 23-011 and 26-014), Waterloo Foundation, and the Wildlife Conservation Society Congo Programme. G.P and T.C.L. acknowledge the support received from cE3c ‐ Center for Ecology, Evolution and Environmental Changes through FCT’s strategic project UIDB/00329/2020 (doi: 10.54499/UIDB/00329/2020). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.