A mangrove-based dataset to study the ecology of Neotropical mosquitoes (Diptera, Culicidae) in French Guiana
Abstract
Understanding how mosquitoes are distributed across natural and anthropogenic environments is crucial but remains challenging in tropical regions. Here, we present a sampling-event dataset designed to document Neotropical mosquitoes (Diptera, Culicidae) assemblages associated with mangrove habitats in French Guiana. A total of 334 collection events were carried out across a variety of coastal and estuarine mangrove habitats that differed in species composition, structure, age, and proximity to urban settlements. The dataset comprises 21,765 mosquito specimens belonging to 14 genera and 62 species. The most abundant taxa were unidentified Culex belonging to the subgenus Melanoconion (8,580; 39.4%), Coquillettidia venezuelensis (4,471; 20.5%), Deinocerites magnus (3,354; 15.4%), and Culex portesi (1,496; 6.9%), together representing 82.2% of all collected specimens. The dataset includes voucher specimens, associated DNA barcodes, and incorporates male genitalia dissections for selected taxa to support species identifications. This sampling-event dataset provides standardised data on mosquito occurrence and abundance in mangrove ecosystems.
Related
- Mosquitoes vs mosquitoes: a systematic review of mass release strategies for the control of Aedes-borne diseases
- Impact of selective logging on the population dynamics and genetic diversity in the neotropical timber tree Dicorynia guianensis
- Assessment of trace metal contamination in mangrove sediments—a case study from Guadeloupe Island, Caribbean Sea
- Chemical composition and antioxidant properties of selected mangrove species from the Sine Saloum Delta (Senegal) using UHPLC-MS/MS and molecular networking
- Ecophysiological and Transcriptomic Responses of Mangrove Seedlings to Environmentally Relevant Cu-Pb-Cd Combined-Metal Stress.
BibTeX
@article{collet2026mangrovebased,
title = {{A mangrove-based dataset to study the ecology of Neotropical mosquitoes (Diptera, Culicidae) in French Guiana}},
author = {Médie Collet and Christophe Proisy and Stanislas Talaga and Amandine Guidez and Ioanna Vlandis and Adriana Keovongsack and Romuald Carinci and Pascal Gaborit and Damien Davy and Jean-Bernard Duchemin},
journal = {Zookeys},
year = {2026},
month = aug,
doi = {10.3897/zookeys.1290.189084},
url = {https://hal.inrae.fr/hal-05766562v1},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - A mangrove-based dataset to study the ecology of Neotropical mosquitoes (Diptera, Culicidae) in French Guiana
AU - Médie Collet
AU - Christophe Proisy
AU - Stanislas Talaga
AU - Amandine Guidez
AU - Ioanna Vlandis
AU - Adriana Keovongsack
AU - Romuald Carinci
AU - Pascal Gaborit
AU - Damien Davy
AU - Jean-Bernard Duchemin
PY - 2026
DA - 2026/08/25
JO - Zookeys
DO - 10.3897/zookeys.1290.189084
UR - https://hal.inrae.fr/hal-05766562v1
AB - Understanding how mosquitoes are distributed across natural and anthropogenic environments is crucial but remains challenging in tropical regions. Here, we present a sampling-event dataset designed to document Neotropical mosquitoes (Diptera, Culicidae) assemblages associated with mangrove habitats in French Guiana. A total of 334 collection events were carried out across a variety of coastal and estuarine mangrove habitats that differed in species composition, structure, age, and proximity to urban settlements. The dataset comprises 21,765 mosquito specimens belonging to 14 genera and 62 species. The most abundant taxa were unidentified Culex belonging to the subgenus Melanoconion (8,580; 39.4%), Coquillettidia venezuelensis (4,471; 20.5%), Deinocerites magnus (3,354; 15.4%), and Culex portesi (1,496; 6.9%), together representing 82.2% of all collected specimens. The dataset includes voucher specimens, associated DNA barcodes, and incorporates male genitalia dissections for selected taxa to support species identifications. This sampling-event dataset provides standardised data on mosquito occurrence and abundance in mangrove ecosystems.
SN - 1313-2989
ER -