Literature DB >> 33081613

Forest stratification shapes allometry and flight morphology of tropical butterflies.

Sebastián Mena1, Krzysztof M Kozak2, Rafael E Cárdenas1, María F Checa1.   

Abstract

Studies of altitudinal and latitudinal gradients have identified links between the evolution of insect flight morphology, landscape structure and microclimate. Although lowland tropical rainforests offer steeper shifts in conditions between the canopy and the understorey, this vertical gradient has received far less attention. Butterflies, because of their great phenotypic plasticity, are excellent models to study selection pressures that mould flight morphology. We examined data collected over 5 years on 64 Nymphalidae butterflies in the Ecuadorian Chocó rainforest. We used phylogenetic methods to control for similarity resulting from common ancestry, and explore the relationships between species stratification and flight morphology. We hypothesized that species should show morphological adaptations related to differing micro-environments, associated with canopy and understorey. We found that butterfly species living in each stratum presented significantly different allometric slopes. Furthermore, a preference for the canopy was significantly associated with low wing area to thoracic volume ratios and high wing aspect ratios, but not with the relative distance to the wing centroid, consistent with extended use of fast flapping flight for canopy butterflies and slow gliding for the understorey. Our results suggest that microclimate differences in vertical gradients are a key factor in generating morphological diversity in flying insects.

Keywords:  Ecuador; Lepidoptera; adaptive syndromes; ecomorphology; evolutionary physiology; stratification

Mesh:

Year:  2020        PMID: 33081613      PMCID: PMC7661310          DOI: 10.1098/rspb.2020.1071

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  49 in total

1.  Testing for phylogenetic signal in comparative data: behavioral traits are more labile.

Authors:  Simon P Blomberg; Theodore Garland; Anthony R Ives
Journal:  Evolution       Date:  2003-04       Impact factor: 3.694

2.  The evolution of static allometry in sexually selected traits.

Authors:  Russell Bonduriansky; Troy Day
Journal:  Evolution       Date:  2003-11       Impact factor: 3.694

3.  Similarity and difference among rainforest fruit-feeding butterfly communities in Central and South America.

Authors:  Philip J Devries; Laura G Alexander; Isidro A Chacon; James A Fordyce
Journal:  J Anim Ecol       Date:  2011-11-09       Impact factor: 5.091

4.  Beetle assemblages from an Australian tropical rainforest show that the canopy and the ground strata contribute equally to biodiversity.

Authors:  Nigel E Stork; Peter S Grimbacher
Journal:  Proc Biol Sci       Date:  2006-08-07       Impact factor: 5.349

5.  Genetic Variability of Flight Metabolism in DROSOPHILA MELANOGASTER. I. Characterization of Power Output during Tethered Flight.

Authors:  J W Curtsinger; C C Laurie-Ahlberg
Journal:  Genetics       Date:  1981-07       Impact factor: 4.562

6.  NIH Image to ImageJ: 25 years of image analysis.

Authors:  Caroline A Schneider; Wayne S Rasband; Kevin W Eliceiri
Journal:  Nat Methods       Date:  2012-07       Impact factor: 28.547

7.  Lift generation by the avian tail.

Authors:  W J Maybury; J M Rayner; L B Couldrick
Journal:  Proc Biol Sci       Date:  2001-07-22       Impact factor: 5.349

8.  A hierarchical bayesian approach to ecological count data: a flexible tool for ecologists.

Authors:  James A Fordyce; Zachariah Gompert; Matthew L Forister; Chris C Nice
Journal:  PLoS One       Date:  2011-11-21       Impact factor: 3.240

9.  Dragonfly flight. I. Gliding flight and steady-state aerodynamic forces.

Authors:  JM Wakeling; CP Ellington
Journal:  J Exp Biol       Date:  1997-02       Impact factor: 3.312

10.  Database resources of the National Center for Biotechnology Information.

Authors: 
Journal:  Nucleic Acids Res       Date:  2015-11-28       Impact factor: 16.971

View more
  2 in total

1.  A nondestructive method of calculating the wing area of insects.

Authors:  Kexin Yu; Gadi V P Reddy; Julian Schrader; Xuchen Guo; Yirong Li; Yabing Jiao; Peijian Shi
Journal:  Ecol Evol       Date:  2022-04-01       Impact factor: 2.912

2.  TimeTree 5: An Expanded Resource for Species Divergence Times.

Authors:  Sudhir Kumar; Michael Suleski; Jack M Craig; Adrienne E Kasprowicz; Maxwell Sanderford; Michael Li; Glen Stecher; S Blair Hedges
Journal:  Mol Biol Evol       Date:  2022-08-06       Impact factor: 8.800

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.