CECAV
URI permanente desta comunidadehttps://bdc.icmbio.gov.br/handle/cecav/1
Centro Nacional de Pesquisa e Conservação de Cavernas
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Resultados da Pesquisa
Item Living in the dark: Bat caves as hotspots of fungal diversity(2020-12-04) O. B. Cunha, Aline; D. P. Bezerra, Jadson; G. L. Oliveira, Thays; Barbier, Eder; Bernard, Enrico; R. Machado, Alexandre; M. Souza-Motta, Cristina; Sabrina SarroccoBat caves are very special roosts that harbour thousands of bats of one or more species. Such sites may hold an incredible “dark fungal diversity” which is still underestimated. We explored the culturable fungal richness in the air, on bats, and in the guano in a bat cave in Brazil’s Caatinga dry forest. Fungal abundance was 683 colony-forming units (CFU) in the guano, 673 CFU in the air, and 105 CFU on the bats. Based on morphological and phylogenetic analysis of ITS, LSU, and TUB2 sequences, fungal isolates of 59 taxa belonging to 37 genera in the phyla Ascomycota (28 genera, including Aspergillus, Penicillium, Cladosporium, and Talaromyces), Basidiomycota (eight genera, including Rhodotorula and Schizophyllum), and Mucoromycota (only Rhizopus) were identified. The fungal richness in the air was 23 taxa (especially Aspergillus taxa), mainly found at 15 m and 45 m from the cave entrance; on the bodies of bats it was 36 taxa (mainly Aspergillus taxa), especially on their wing membranes (21 taxa, nine of which were exclusively found in this microhabitat); and in guano 10 fungal taxa (especially Aspergillus and Penicillium) were found. The fungal richness associated with guano (fresh and non-fresh) was similar from bats with different eating habits (insectivorous, frugivorous, and haematophagous). Sampling effort was not sufficient to reveal the total fungal taxa richness estimated. Eight (21.6%) of the 37 genera and 17 (53.1%) of the 32 identified fungal species are reported for the first time in caves. Our results highlight bat caves in Brazil as hotspots of fungal diversity, emphasizing the need to protect such special roosts.- Multi-Objective Tracking Applied to Bat Populations(Rastreamento Multi-Objetivo Aplicado a Populações de Morcegos)(2016) Rodrigues, Eduardo; Teixeira, João Marcelo; Teichrieb, Veronica; Bernard, EnricoMultiple target tracking is one of the greatchallenges faced by the computer vision community in lastyears. This paper presents a solution developed in order totrack bats in a clutter environment to account the populationof their colony. The algorithm is able to start detections,treat wrong or lost detections and process the detections inprogress. Tracked targets have their next state estimated byKalman Filter usage. As new measurements are performed,the algorithm can identify which of them are considerednoise, which are new targets and which are new statesof a previously detected target. A 3D viewer was alsoimplemented in order to help the analysis of the trackedflights by researchers in areas like biodiversity and biology.The aim of this paper is to present the operation of thedeveloped system, collaborate with other researchers workingwith tracking of multiple objects and make society aware ofthe importance of preserving the environment, exposing someof the consequences of changing its natural characteristics.The proposed algorithm showed amazing results in the teststages, reaching to overcome the current state of the art.