2025/04/30 by Íttalo Luã Silva Medeiros, Angela María Palacio-Cortés, Mário Antônio Navarro-Silva · 1 voice
Medicine · Environmental Science · #Mosquito-borne diseases and control #Fish biology, ecology, and behavior #Malaria Research and Control
paper · pdf · doi:10.1111/icad.12827
openalex publication_date 2025/04/30 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01
Abstract Gaps and trends in species distribution knowledge can negatively influence biodiversity studies, emphasizing the need to map these limitations and assess inventory completeness. This study analysed spatial inventories of Culicidae, insects with high medical relevance, to identify priority research areas in Brazil. Records from 1900 to 2021 were collected from digital databases and literature, excluding those without scientific names, coordinates or sampling years. Sampling effort and inventory completeness were assessed across ecoregions, states and grid cells at 0.5° and 1° size resolution. Metrics analysed included record counts, the percentage of observed and expected richness ratio (completeness index, Cc) and accumulation curve slope (Cs). Units were classified as ‘well‐surveyed’ based on different thresholds, and priority zones were defined based on the last quartile of cells with the greatest distance and climatic uniqueness. A total of 9899 records from 22 scientific collections and 356 articles highlight comprehensive datasets in Southeast and Amazonas states, with limited data in the Northeast region. The Atlantic Forest contained the most complete information, yet well‐surveyed areas covered less than 1% of Brazil. This scenario shows that Brazilian Culicidae inventories are under construction due to low spatial representativeness and sampling biases for vector species, roads and urban areas. Filling these gaps with new sampling designs will enhance predictions of epidemiological risks and Culicidae species loss, especially in Acre, Pará, West‐Amazon, Northeast‐Atlantic, Brazilian Diagonal and Araucaria‐Pampean zones.