Skip to content
DraconiticResearch
Search Sources API
186,123 studies31 sourcesUpdated 16 min ago
Peer-reviewedCC BY 4.0Apidologie

Disentangling environmental influence on wing size and shape in Partamona helleri across the Atlantic forest

Abstract

Partamona helleri is a stingless bee distributed across the Atlantic Forest, one of Brazil's most threatened biomes. We analyzed wing size and shape in 26 populations spanning the species' latitudinal range to evaluate their associations with environmental variables. Among the variables examined, mean and minimum temperatures explained the largest proportion of wing size variation (13.5% and 9.5%, respectively), whereas rainfall and relative humidity accounted for 2.05% and 2.39% of the total wing shape variation. However, colony and locality explained substantially larger proportions of the total phenotypic variance than the fixed environmental effects, accounting on average for approximately 40% and 38% of centroid size variation, respectively, and 48% and 18% of wing shape variation, respectively. These findings indicate that wing morphology in P. helleri is shaped by both environmental conditions and population-level factors.

Related

  1. Disentangling the Toric Code
    Lei Gioia, Salvatore D. Pace, Ruben Verresen +2
    arXivPreprintCC BY 4.0Full textMathematical physicsCondensed matterarXiv
  2. Disentangling Continuous-Time Latent Dynamics: Identifiability of Latent SDEs via Diffusion Shifts
    Yuanyuan Wang, Wenjie Wang, Haoxuan Li +2
    arXivPreprintarXiv licenceFull textStatisticsarXiv
  3. Graph Additive Models disentangling feature, topology, and interactions
    Clara Alvarez-Rodriguez, Steve Azzolin, Vincenzo Marco De Luca +3
    arXivPreprintCC BY 4.0Full textStatisticsarXiv
  4. Disentangling Measurement Protocol from Material Physics in Isotypic and Anisotypic SiC/Si Heterojunctions: A Metrology-Driven Study for Betavoltaic Energy Conversion
    Mikhail V. Dolgopolov
    arXivPreprintarXiv licenceFull textMathematical physicsApplied physics & instrumentationarXiv
  5. A Deep Zero-Inflated Model of North Atlantic Right Whale Presence To Support Blue Economy Management
    Jiaxiang Ji, Laura Nazzaro, Ahmed Aziz Ezzat
    arXivPreprintCC BY-SA 4.0Full textStatisticsarXiv
BibTeX
@article{magri2026disentangling,
  title = {{Disentangling environmental influence on wing size and shape in Partamona helleri across the Atlantic forest}},
  author = {Lucas Araújo Magri and Vinicius de Oliveira Silva and Cíntia Akemi Oi and Mariana Cristina Dessi and Isabel Cristina de Godói and Marco Antonio del Lama},
  journal = {Apidologie},
  year = {2026},
  month = oct,
  doi = {10.1007/s13592-026-01313-0},
  url = {https://hal.science/hal-05777449v1},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Disentangling environmental influence on wing size and shape in Partamona helleri across the Atlantic forest
AU  - Lucas Araújo Magri
AU  - Vinicius de Oliveira Silva
AU  - Cíntia Akemi Oi
AU  - Mariana Cristina Dessi
AU  - Isabel Cristina de Godói
AU  - Marco Antonio del Lama
PY  - 2026
DA  - 2026/10/05
JO  - Apidologie
DO  - 10.1007/s13592-026-01313-0
UR  - https://hal.science/hal-05777449v1
AB  - Partamona helleri is a stingless bee distributed across the Atlantic Forest, one of Brazil's most threatened biomes. We analyzed wing size and shape in 26 populations spanning the species' latitudinal range to evaluate their associations with environmental variables. Among the variables examined, mean and minimum temperatures explained the largest proportion of wing size variation (13.5% and 9.5%, respectively), whereas rainfall and relative humidity accounted for 2.05% and 2.39% of the total wing shape variation. However, colony and locality explained substantially larger proportions of the total phenotypic variance than the fixed environmental effects, accounting on average for approximately 40% and 38% of centroid size variation, respectively, and 48% and 18% of wing shape variation, respectively. These findings indicate that wing morphology in P. helleri is shaped by both environmental conditions and population-level factors.
SN  - 0044-8435
SN  - 1297-9678
ER  -