RESUMO
A better knowledge of tree vegetative growth phenology and its relationship to environmental variables is crucial to understanding forest growth dynamics and how climate change may affect it. Less studied than reproductive structures, vegetative growth phenology focuses primarily on the analysis of growing shoots, from buds to leaf fall. In temperate regions, low winter temperatures impose a cessation of vegetative growth shoots and lead to a well-known annual growth cycle pattern for most species. The humid tropics, on the other hand, have less seasonality and contain many more tree species, leading to a diversity of patterns that is still poorly known and understood. The work in this study aims to advance knowledge in this area, focusing specifically on herbarium scans, as herbariums offer the promise of tracking phenology over long periods of time. However, such a study requires a large number of shoots to be able to draw statistically relevant conclusions. We propose to investigate the extent to which the use of deep learning can help detect and type-classify these relatively rare vegetative structures in herbarium collections. Our results demonstrate the relevance of using herbarium data in vegetative phenology research as well as the potential of deep learning approaches for growing shoot detection.
RESUMO
Brazil is one of the most diverse countries in the world, hosting more than 250 known species of mantids (Mantodea). Studying natural history collections is crucial to identify, describe new taxa and solve taxonomic issues, improving the knowledge about the biodiversity. Here we document the transference of the mantids collection from the Entomological Collection of Instituto Butantan (São Paulo, Brazil) to the Museu Nacional (Rio de Janeiro, Brazil) and provide a morphological assessment on the 33 transferred mantids. We recognized 13 genera and 12 species, with diversified distribution in Brazil, although 6 specimens from 4 genera could not be identified at a specific level. The transference of this collection starts a new phase of restructuration and recognition of the Medical Entomology scope of the donor collection, aside from helping the rebuilt of the Entomological Collection of the Museu Nacional, lost in the 2018 fire, and allowing further researches within the group.
RESUMO
The present catalogue lists the insect types (Hexapoda) deposited at Coleção Entomológica "Prof. J.M.F.Camargo" (RPSP), Universidade de São Paulo, Ribeirão Preto, Brazil. This collection is known as one of the most significant depositories of stingless bees (Hymenoptera: Apidae: Meliponini) for the Brazilian and Neotropical faunas, largely because of the legacy of Professor João Franco Maria de Camargo (in memoriam) and co-workers. The Meliponini constitute the most emblematic portion of the collection, comprising 3,335 type-specimens (66 holotypes, 3,254 paratypes, and 15 paralectotypes), which represent 132 species-names. In addition to stingless bees, 495 type specimens of other Hymenoptera (23 holotypes and 472 paratypes) are deposited at RPSP representing 71 hymenopteran species-names: Agaonidae (16 names), Andrenidae (3 names), non-Meliponini Apidae (21 names), Chrysididae (2 names), Halictidae (16 names), Colletidae (5 names), Megachilidae (5 names), Melittidae (1 name), Pteromalidae (1 name), and Vespidae (1 name); the only other insect order currently represented by types at RPSP is Diptera (Drosophilidae: 2 names). Altogether, there currently are 3,832 type-specimens deposited at RPSP. Label data and additional information from the RPSP registers, literature sources, and taxonomic remarks are given, including photographs of name bearing types and representatives of other type specimens of the species herein considered.