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Mata, V. A.

Publications and source records attributed to Mata, V. A..

2 recordsLinked to original sources

Habitat use and diel activity of insectivorous bats across land-use types on an Afrotropical oceanic island

Tropical island biodiversity is declining at alarming rates. Yet, understanding how species are coping with such disturbance is largely limited for afro-tropical islands. Here we examined habitat use and diel activity of insectivorous bats across different land-use types covering the endemic-rich Principe Island, Central West Africa. We acoustically surveyed insectivorous bats across 48 sites throughout old-growth forests, secondary re-growth forests, cocoa shaded plantations, and horticultures. Based on 17,527 bat-passes, we were able to record all four insectivorous bat species known to occur on Principe, including the recently described Pseudoromicia principis, the most frequently recorded species. Taphozous mauritianus, a data deficient open-space forager, was the least recorded species. Species activity was lowest in old-growth forests, as well as the activity of the edge-forager P. principis. The activity of the open-space forager Mops pumilus was lowest in forest habitats, whereas Hipposideros ruber, a forest forager, was restricted to these habitats. Diel activity patterns of M. pumilus varied between forests and non-forest habitats, whereas those of P. principis remained similar. Interspecific activity overlap decreased towards more altered land-use types. Our findings emphasize that conserving the remaining forests, along with the current mosaic of land-uses, is needed to maintain Principes complete insectivorous bat assemblages.

ecology↗

Efficient assessment of nocturnal flying insect communities by combining automatic light traps and DNA metabarcoding

O_LIIncreasing evidence for global insect declines is prompting a renewed interest in the survey of whole insect communities. DNA metabarcoding can contribute to assessing diverse insect communities over a range of spatial and temporal scales, but efforts are still needed to optimise and standardise procedures, from field sampling, through laboratory analysis, to bioinformatic processing. C_LIO_LIHere we describe and test a methodological pipeline for surveying nocturnal flying insects, combining a customised automatic light trap and DNA metabarcoding. We optimised laboratory procedures and then tested the methodological pipeline using 12 field samples collected in northern Portugal in 2017. We focused on Lepidoptera to compare metabarcoding results with those from morphological identification, using three types of bulks produced from each sample (individuals, legs and the unsorted mixture). C_LIO_LIThe customised trap was highly efficient at collecting nocturnal flying insects, allowing a small team to operate several traps per night, and a fast field processing of samples for subsequent metabarcoding with low contamination risks. Morphological processing yielded 871 identifiable individuals of 102 Lepidoptera species. Metabarcoding detected a total of 528 taxa, most of which were Lepidoptera (31.1%), Diptera (26.1%) and Coleoptera (14.7%). There was a reasonably high matching in community composition between morphology and metabarcoding when considering the individuals and legs bulk samples, with few errors mostly associated with morphological misidentification of small microlepidoptera. Regarding the mixture bulk sample, metabarcoding identified nearly four times more Lepidoptera species than morphological examination. C_LIO_LIOur study provides a methodological metabarcoding pipeline that can be used in standardised surveys of nocturnal flying insects, showing that it can overcome limitations and potential shortcomings of traditional methods based on morphological identification. Our approach efficiently collects highly diverse taxonomic groups such as nocturnal Lepidoptera that are poorly represented when using Malaise traps and other widely used field methods. To enhance the potential of this pipeline in ecological studies, efforts are needed to test its effectiveness and potential biases across habitat types and to extend the DNA barcode databases for important groups such as Diptera. C_LI

molecular biology↗