Brill Online
Browse

Suppl. material to 'An illustrated guide for the identification of ant subfamilies' (ISE)and genera in Brazil

Download (17.45 MB)
journal contribution
posted on 2024-05-15, 16:41 authored by Rodrigo M. Feitosa, Amanda M. Dias
<p dir="ltr">In this guide we present taxonomic keys for the 12 subfamilies and 117 genera of ants known to occur</p><p dir="ltr">in Brazil, along with an illustrated glossary of technical terms. The identification keys presented here are</p><p dir="ltr">accompanied by high-resolution photographs of representative specimens for each taxon covered, including</p><p dir="ltr">details that aid in the understanding of complex characters. Additionally, we provide comparative</p><p dir="ltr">information for each genus, including diagnostic morphological traits, predominant habitat occurrence,</p><p dir="ltr">nesting and foraging strata, collection frequency, and reproductive strategy. We also provide a synopsis</p><p dir="ltr">of the taxonomic status of each genus, including the number of known species in Brazil in comparison</p><p dir="ltr">to their global distribution, as well as the occurrence of the ant genera across biomes and the most recent</p><p dir="ltr">study including taxonomic tools for species identification. The main objective of this guide is to facilitate</p><p dir="ltr">the accurate identification of ants in Brazil, providing a systematic and practical approach in accessible</p><p dir="ltr">language for researchers, students, and entomology enthusiasts. We hope to contribute to the advancement</p><p dir="ltr">of taxonomic, ecological, and applied knowledge of Brazilian ants, as well as provide a tool for</p><p dir="ltr">diversity studies and environmental education, contributing to the understanding and preservation of ants</p><p dir="ltr">in the country with the highest biodiversity on the planet.</p>

Funding

301495/2019–0 and 140811/2019-2

History

Usage metrics

    Journals

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC