Morphometric changes in wings of bess beetles (Coleoptera: Passalidae) related to elevation: a case of study in the Colombian Andes

Ariza-Marín, E.R.; Amat-García, Germán

doi:10.1080/01650521.2021.1936882

Cited by 3 publications

(2 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…On the other hand, TS-HRNet performed well in detecting landmarks on both radial (R) and medial (M) veins (i.e., Landmarks 2,3,[6][7][8][9][10][11][12][13][14][15][16]20,23,24,and 26; Figure 5, Tables 1 and S3). As the hindwing morphology of leaf beetles has not undergone substantial changes throughout the evolution of leaf beetles, the R and M veins-which are crucial for flight as they stabilize the radial and apical wing fields-have remained essentially constant throughout their evolution [32].…”

Section: Performance Analysis Of Ts-hrnetmentioning

confidence: 99%

“…Wing landmark annotation based morphological methods have been widely used in studies on beetles, in terms of aspects such as phylogeny [10], evolution [11,12], ecology [13], biogeography [14], and flight deformation [15]. The amount of landmark data on the wing largely determines the effectiveness of the subsequent morphological analysis [16].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Detection of Hindwing Landmarks Using Transfer Learning and High-Resolution Networks

Yang

Liu

et al. 2023

Biology

View full text Add to dashboard Cite

Hindwing venation is one of the most important morphological features for the functional and evolutionary analysis of beetles, as it is one of the key features used for the analysis of beetle flight performance and the design of beetle-like flapping wing micro aerial vehicles. However, manual landmark annotation for hindwing morphological analysis is a time-consuming process hindering the development of wing morphology research. In this paper, we present a novel approach for the detection of landmarks on the hindwings of leaf beetles (Coleoptera, Chrysomelidae) using a limited number of samples. The proposed method entails the transfer of a pre-existing model, trained on a large natural image dataset, to the specific domain of leaf beetle hindwings. This is achieved by using a deep high-resolution network as the backbone. The low-stage network parameters are frozen, while the high-stage parameters are re-trained to construct a leaf beetle hindwing landmark detection model. A leaf beetle hindwing landmark dataset was constructed, and the network was trained on varying numbers of randomly selected hindwing samples. The results demonstrate that the average detection normalized mean error for specific landmarks of leaf beetle hindwings (100 samples) remains below 0.02 and only reached 0.045 when using a mere three samples for training. Comparative analyses reveal that the proposed approach out-performs a prevalently used method (i.e., a deep residual network). This study showcases the practicability of employing natural images—specifically, those in ImageNet—for the purpose of pre-training leaf beetle hindwing landmark detection models in particular, providing a promising approach for insect wing venation digitization.

show abstract

Section: Performance Analysis Of Ts-hrnetmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Detection of Hindwing Landmarks Using Transfer Learning and High-Resolution Networks

Yang

Liu

et al. 2023

Biology

View full text Add to dashboard Cite

show abstract

The Brachypterous Species of Passalus (Pertinax) (Coleoptera: Passalidae), with the Description of a New Species from Sierra Nevada de Santa Marta, Colombia

2022

View full text Add to dashboard Cite

Brachypterism is a common condition cited in passalid beetles, mainly associated to species with strictly montane distributions. In the New World Passalids, brachypterism has been reported especially in the tribe Proculini, for which almost all genera have brachypterous species; meanwhile, in Passalini, the other Netropical tribe, it has been cited only for the genus Passalus, mainly in the subgenus Passalus (Passalus). Here we present a commented list of the brachypterous species of the subgenus Passalus (Pertinax); we redescribed Passalus gravelyi Moreira, P. quitensis (Kaup), P. striatissimus Luederwaldt, and P. sulcifrons (Kuwert) and describe a new species from Sierra Nevada de Santa Marta, Colombia.

show abstract

A la memoria de Germán Amat García (1960 – 2021): científico, entomólogo, historiador, maestro y amigo

GASCA-ÁLVAREZ,

JIMÉNEZ-FERBANS,

LÓPEZ-GARCÍA

et al. 2023

Caldasia

View full text Add to dashboard Cite

Este es un homenaje a la memoria de Germán Amat García por parte de algunos de sus estudiantes, quienes quisimos recordar los momentos más memorables y exaltar su contribución a la entomología en Colombia y sus valiosos aportes como docente, investigador y directivo. Su labor docente por más de 30 años fue un legado para numerosos estudiantes de pregrado y posgrado, y contribuyó a la formación de varios entomólogos colombianos. Como investigador publicó más de 70 artículos de investigación y de divulgación científica, catorce libros y más de 20 capítulos de libro principalmente enfocados en entomología, pero también sobre historia de la ciencia en Colombia. Su entusiasmo y pasión por la coleopterología y su gran carisma harán parte de los recuerdos de todos sus estudiantes, colegas y amigos.

show abstract

Morphometric changes in wings of bess beetles (Coleoptera: Passalidae) related to elevation: a case of study in the Colombian Andes

Cited by 3 publications

References 33 publications

Detection of Hindwing Landmarks Using Transfer Learning and High-Resolution Networks

Detection of Hindwing Landmarks Using Transfer Learning and High-Resolution Networks

The Brachypterous Species of Passalus (Pertinax) (Coleoptera: Passalidae), with the Description of a New Species from Sierra Nevada de Santa Marta, Colombia

A la memoria de Germán Amat García (1960 – 2021): científico, entomólogo, historiador, maestro y amigo

Contact Info

Product

Resources

About