Broad-Scale Landscape Structure Shapes Anopheline Assemblages in an Amazonian Deforestation Frontier

Previous work in this Amazonian deforestation frontier identified a broad-scale landscape signal for malaria-vector abundance and infected-anopheline occurrence, generating the hypothesis that the anopheline assemblage itself may be organized by landscape structure. Here, we tested whether anopheline richness, total abundance, Nyssorhynchus darlingi abundance and multispecies assemblage structure are associated with landscape composition, configuration and spatial extent. We analyzed 365 anophelines from 22 landscapes and eight species using Bayesian count and hierarchical multispecies models. Predictors represented forest cover, secondary forest, water, exposed soil, forest configuration and river proximity across 3, 5 and 7 km2. The 7 km2 scale received the strongest support across responses. Forest cover consistently increased richness and community abundance, exposed soil reduced abundance-based responses, and forest edge density contributed to the best multispecies model. These findings indicate that broad-scale landscape structure organizes anopheline assemblages that may underlie malaria transmission in Amazonian frontier regions.

Authors

Institutions

Publication Details

Journal
Insects
Published
2026-10-28
DOI
https://doi.org/10.3390/insects17111116
Primary Topic
Malaria Research and Control
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Broad-Scale Landscape Structure Shapes Anopheline Assemblages in an Amazonian Deforestation Frontier

Melissa S. Nolan, Sean P. Sweeney, Gabriel Zorello Laporta, Fernanda Portela Madeira et al.
1 links
Insects
Malaria Research and Control
article

Broad-Scale Landscape Structure Shapes Anopheline Assemblages in an Amazonian Deforestation Frontier

Melissa S. Nolan, Sean P. Sweeney, Gabriel Zorello Laporta, Fernanda Portela Madeira, Roberto C. Ilacqua, Thais Costa Santos, Antonio Oliveira, Francisco N. C. Leitao, Arthur S. Lindori, Glauco M. Silva
article en

Abstract

Previous work in this Amazonian deforestation frontier identified a broad-scale landscape signal for malaria-vector abundance and infected-anopheline occurrence, generating the hypothesis that the anopheline assemblage itself may be organized by landscape structure. Here, we tested whether anopheline richness, total abundance, Nyssorhynchus darlingi abundance and multispecies assemblage structure are associated with landscape composition, configuration and spatial extent. We analyzed 365 anophelines from 22 landscapes and eight species using Bayesian count and hierarchical multispecies models. Predictors represented forest cover, secondary forest, water, exposed soil, forest configuration and river proximity across 3, 5 and 7 km2. The 7 km2 scale received the strongest support across responses. Forest cover consistently increased richness and community abundance, exposed soil reduced abundance-based responses, and forest edge density contributed to the best multispecies model. These findings indicate that broad-scale landscape structure organizes anopheline assemblages that may underlie malaria transmission in Amazonian frontier regions.

InsectsVol. 17(11)
Universidade Federal do Acre (BR), University of South Carolina (US), Centro Universitário Fundação Santo André (BR), Faculdade de Medicina do ABC (BR), Universidade Federal do ABC (BR)
Fundação de Amparo à Pesquisa do Estado de São Paulo, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico
Life on land
Openalex Percentile: Top 10%
Malaria Research and Control
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon