TY - JOUR
T1 - The Afrotropical breeding grounds of the Palearctic-African migratory painted lady butterflies (Vanessa cardui)
AU - Talavera, Gerard
AU - García-Berro, Aurora
AU - Talla, Valery N.K.
AU - Ng'iru, Ivy
AU - Bahleman, Farid
AU - Kébé, Khadim
AU - Nzala, Kelvin M.
AU - Plasencia, Dulce
AU - Marafi, Mohammad A.J.
AU - Kassie, Abeje
AU - Goudégnon, Eude O.A.
AU - Kiki, Martial
AU - Benyamini, Dubi
AU - Reich, Megan S.
AU - López-Mañas, Roger
AU - Benetello, Fulvia
AU - Collins, Steve C.
AU - Bataille, Clément P.
AU - Pierce, Naomi E.
AU - Martins, Dino J.
AU - Suchan, Tomasz
AU - Menchetti, Mattia
AU - Vila, Roger
N1 - Publisher Copyright: Copyright © 2023 the Author(s). Published by PNAS. This article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).
PY - 2023/4/18
Y1 - 2023/4/18
N2 - Migratory insects are key players in ecosystem functioning and services, but their spatiotemporal distributions are typically poorly known. Ecological niche modeling (ENM) may be used to predict species seasonal distributions, but the resulting hypotheses should eventually be validated by field data. The painted lady butterfly (Vanessa cardui) performs multigenerational migrations between Europe and Africa and has become a model species for insect movement ecology. While the annual migration cycle of this species is well understood for Europe and northernmost Africa, it is still unknown where most individuals spend the winter. Through ENM, we previously predicted suitable breeding grounds in the subhumid regions near the tropics between November and February. In this work, we assess the suitability of these predictions through i) extensive field surveys and ii) two-year monitoring in six countries: a large-scale monitoring scheme to study butterfly migration in Africa. We document new breeding locations, year-round phenological information, and hostplant use. Field observations were nearly always predicted with high probability by the previous ENM, and monitoring demonstrated the influence of the precipitation seasonality regime on migratory phenology. Using the updated dataset, we built a refined ENM for the Palearctic-African range of V. cardui. We confirm the relevance of the Afrotropical region and document the missing natural history pieces of the longest migratory cycle described in butterflies.
AB - Migratory insects are key players in ecosystem functioning and services, but their spatiotemporal distributions are typically poorly known. Ecological niche modeling (ENM) may be used to predict species seasonal distributions, but the resulting hypotheses should eventually be validated by field data. The painted lady butterfly (Vanessa cardui) performs multigenerational migrations between Europe and Africa and has become a model species for insect movement ecology. While the annual migration cycle of this species is well understood for Europe and northernmost Africa, it is still unknown where most individuals spend the winter. Through ENM, we previously predicted suitable breeding grounds in the subhumid regions near the tropics between November and February. In this work, we assess the suitability of these predictions through i) extensive field surveys and ii) two-year monitoring in six countries: a large-scale monitoring scheme to study butterfly migration in Africa. We document new breeding locations, year-round phenological information, and hostplant use. Field observations were nearly always predicted with high probability by the previous ENM, and monitoring demonstrated the influence of the precipitation seasonality regime on migratory phenology. Using the updated dataset, we built a refined ENM for the Palearctic-African range of V. cardui. We confirm the relevance of the Afrotropical region and document the missing natural history pieces of the longest migratory cycle described in butterflies.
KW - afrotropics
KW - insect migration
KW - painted lady butterfly
KW - population dynamics
KW - species distribution modelling
UR - https://www.scopus.com/pages/publications/85152106781
U2 - 10.1073/pnas.2218280120
DO - 10.1073/pnas.2218280120
M3 - Article
C2 - 37036992
SN - 0027-8424
VL - 120
JO - Proceedings of the National Academy of Sciences of the United States of America
JF - Proceedings of the National Academy of Sciences of the United States of America
IS - 16
M1 - e2218280120
ER -