Are wing contours good classifiers for automatic identification in Odonata? A view from the Targeted Odonata Wing Digitization (TOWD) project

In recent decades, a lack of available knowledge about the magnitude, identity and distribution of biodiversity has given way to a taxonomic impediment where species are not being described as fast as the rate of extinction. Using Machine Learning methods based on seven different algorithms (LR, CART, KNN, GNB, LDA, SVM and RFC) we have created an automatic identification approach for odonate genera, through images of wing contours.

Identification of viruses associated with larvae of the dragonfly Leucorrhinia dubia, and damselfly Coenagrion puella from RNA sequencing data

Dragonflies and damselflies are hosts to a variety of parasites and pathogens. However, very few studies have investigated which viruses infect dragonflies and damselflies. Here, based on next generation RNA sequencing of RNA from Leucorrhinia dubia (Libellulidae, Anisoptera) and Coenagrion puella (Coenagrionidae, Zygoptera) larvae, data on putative viruses present in odonates are reported. In both…

Taxonomy and identification of the continental African Gynacantha and Heliaeschna species (Odonata: Aeshnidae)

The taxonomy of the Gynacantha and Heliaeschna species from continental Africa is problematic, and available keys are unsatisfactory. ‘Traditional’ characters such as venation and ‘innovative’ ones like abdominal denticulation are evaluated and their variability is measured and discussed. G. quadrina is a synonym of G. africana and not of G. vesiculata, G. ochraceipes is regarded…

Odonata Concordance amongst aquatic taxa in brazilian savanna streams

Environmental management is one of the most important activities in ecological conservation at present. Faced with various socioeconomic impacts (e.g., urbanization, agriculture, and logging), practical and effective ways to analyze and determine how biodiversity is affected by these anthropogenic activities are essential.