High endemism of mosquitoes on São Tomé and Príncipe Islands: evaluating the general dynamic model in a worldwide island comparison

Journal Article · 21 June 2018 · Insect Conservation and Diversity

DOI: https://doi.org/10.1111/icad.12308 · OSTI ID:1456277

Loiseau, Claire  ^[1]; Melo, Martim ^[2]; Lee, Yoosook ^[3]; Pereira, Hugo ^[1]; Hanemaaijer, Mark J. ^[3]; Lanzaro, Gregory C. ^[3]; Cornel, Anthony J. ^[4]; Didham, ed., Raphael; Gilbert, ed., Francis

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1. CIBIO Centro de Investigação em Biodiversidade e Recursos Genéticos InBio Laboratório Associado University of Porto Vairão Portugal
2. CIBIO Centro de Investigação em Biodiversidade e Recursos Genéticos InBio Laboratório Associado University of Porto Vairão Portugal, FitzPatrick Institute DST‐NRF Centre of Excellence University of Cape Town Cape Town South Africa
3. Vector Genetics Laboratory Department of Pathology, Microbiology and Immunology School of Veterinary Medicine University of California at Davis Davis CA USA
4. Vector Genetics Laboratory Department of Pathology, Microbiology and Immunology School of Veterinary Medicine University of California at Davis Davis CA USA, Mosquito Control and Research Laboratory Department of Entomology and Nematology University of California Davis Parlier CA USA

Abstract The archipelago of São Tomé and Príncipe is a major centre of endemism for vertebrates but, to date, arthropods remain poorly studied, with the exception of mosquitoes due to their medical and economic relevance. Previous studies, over 20 years old, recorded 26 species of mosquitoes for São Tomé and 14 for Príncipe, of which six and two were endemic to each island respectively. We collected mosquito larvae and adults on both islands and found three species as a first record, putting the number of mosquito species collected at least once on São Tomé at 29 and 15 for Príncipe. We compared the mosquito richness on São Tomé and Príncipe islands to 71 other oceanic islands represented within 20 archipelagoes worldwide. We used the general dynamic model of oceanic island biogeography and the associated ATT ² (for Area+Time+Time ² ) model to explain two different metrics: (i) the richness of the single‐island endemics and (ii) the richness of archipelago endemics. We also included other island characteristics in our model, such as isolation and latitude. Our data compilation and comparative analyses revealed an overall low richness of endemic mosquitoes on islands, with the highest number of single‐island endemics found on São Tomé Island. As predicted, we found a positive relationship between our two richness metrics and the general dynamic model ATT ² , although the model with the area (A) alone also explained endemic richness. Isolation was also predictor of mosquito diversification.

• Sponsoring Organization: USDOE
• OSTI ID: 1456277
• Journal Information: Insect Conservation and Diversity, Journal Name: Insect Conservation and Diversity Vol. 12 Journal Issue: 1; ISSN 1752-458X
• Publisher: Wiley-BlackwellCopyright Statement
• Country of Publication: Country unknown/Code not available
• Language: English