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Bird assemblage mist-netted in an Atlantic Forest area: a comparison between vertically-mobile and ground-level nets

Overview of attention for article published in Brazilian Journal of Biology, August 2015
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Title
Bird assemblage mist-netted in an Atlantic Forest area: a comparison between vertically-mobile and ground-level nets
Published in
Brazilian Journal of Biology, August 2015
DOI 10.1590/1519-6984.00914
Pubmed ID
Authors

MB Vecchi, MAS Alves

Abstract

Mist nets may be opened at different heights in the forest, but they are seldom used over 3 m above the ground. We used two different methods to compare species richness, composition, and relative abundance and trophic structure of the bird assemblage at Ilha Grande (with a 290 birds standardization): conventional ground-level nets (0-2.4 m height range) and elevated nets (0-17 m) with an adjustable-height system (modified from Humphrey et al., 1968) that we call vertically-mobile nets. There were significant differences in capture frequencies between methods for about 20% of the species (Chi-squared test, P<0.05), and the two methods caught different assemblages. Ground-level nets recorded less species, and they comparatively overestimated mainly Suboscine insectivores and underestimated frugivores and nectarivores. Different sampling methods used at the same location may result in very different diagnoses of the avifauna present, both qualitatively and quantitatively. We encourage studies involving mist net sampling to include the upper strata to more accurately represent the avifauna in Atlantic Forest.

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The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Argentina 1 2%
Unknown 41 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 11 26%
Student > Master 8 19%
Researcher 7 17%
Student > Ph. D. Student 3 7%
Student > Doctoral Student 2 5%
Other 6 14%
Unknown 5 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 60%
Environmental Science 7 17%
Earth and Planetary Sciences 2 5%
Veterinary Science and Veterinary Medicine 1 2%
Economics, Econometrics and Finance 1 2%
Other 1 2%
Unknown 5 12%