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Forest Matrix Fosters High Similarity in Bee Composition Occurring on Isolated Outcrops Within Amazon Biome

Most studies analyze fragmentation due to habitat loss caused by anthropogenic activities and few of them analyzed fragmentation on naturally fragmented areas. In the Eastern Amazon, it is possible to find areas naturally open and surrounded by pristine forest. Understanding how species respond to i...

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Autores principales: Maia, Ulysses M, Pinto, Carlos E, Miranda, Leonardo S, Coelho, Beatriz W T, Santos Junior, José E, Raiol, Rafael L, Imperatriz-Fonseca, Vera L, Giannini, Tereza C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7734964/
https://www.ncbi.nlm.nih.gov/pubmed/33015710
http://dx.doi.org/10.1093/ee/nvaa115
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author Maia, Ulysses M
Pinto, Carlos E
Miranda, Leonardo S
Coelho, Beatriz W T
Santos Junior, José E
Raiol, Rafael L
Imperatriz-Fonseca, Vera L
Giannini, Tereza C
author_facet Maia, Ulysses M
Pinto, Carlos E
Miranda, Leonardo S
Coelho, Beatriz W T
Santos Junior, José E
Raiol, Rafael L
Imperatriz-Fonseca, Vera L
Giannini, Tereza C
author_sort Maia, Ulysses M
collection PubMed
description Most studies analyze fragmentation due to habitat loss caused by anthropogenic activities and few of them analyzed fragmentation on naturally fragmented areas. In the Eastern Amazon, it is possible to find areas naturally open and surrounded by pristine forest. Understanding how species respond to isolation in these areas is an important challenge for decision-making processes aiming conservation and restoration. Using standardized methods of bee collection (entomological nets, bait trap, pan trap, and nest trap), the objective of this study was to analyze the composition and diversity of bees occurring on six isolated outcrops located in two protected areas within Amazon biome. More specifically, we tested 1) if the dissimilarity in bee species composition is explained by the isolation of outcrops and 2) if bee richness, abundance, and Shannon diversity can be explained by the outcrop size. We found 118 species, with the Meliponini and Euglossini (Hymenoptera: Apidae) tribes representing the highest number of species. The similarity in species composition across all outcrops is high and is not explained by the isolation. In addition, the richness, abundance, and Shannon diversity are not explained by outcrop size. Forest does not seem to be a barrier to bee movement, and although most species probably nest in the forests, they use the highly diverse plants of the outcrops as a complementary food source.
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spelling pubmed-77349642020-12-17 Forest Matrix Fosters High Similarity in Bee Composition Occurring on Isolated Outcrops Within Amazon Biome Maia, Ulysses M Pinto, Carlos E Miranda, Leonardo S Coelho, Beatriz W T Santos Junior, José E Raiol, Rafael L Imperatriz-Fonseca, Vera L Giannini, Tereza C Environ Entomol Community Ecology Most studies analyze fragmentation due to habitat loss caused by anthropogenic activities and few of them analyzed fragmentation on naturally fragmented areas. In the Eastern Amazon, it is possible to find areas naturally open and surrounded by pristine forest. Understanding how species respond to isolation in these areas is an important challenge for decision-making processes aiming conservation and restoration. Using standardized methods of bee collection (entomological nets, bait trap, pan trap, and nest trap), the objective of this study was to analyze the composition and diversity of bees occurring on six isolated outcrops located in two protected areas within Amazon biome. More specifically, we tested 1) if the dissimilarity in bee species composition is explained by the isolation of outcrops and 2) if bee richness, abundance, and Shannon diversity can be explained by the outcrop size. We found 118 species, with the Meliponini and Euglossini (Hymenoptera: Apidae) tribes representing the highest number of species. The similarity in species composition across all outcrops is high and is not explained by the isolation. In addition, the richness, abundance, and Shannon diversity are not explained by outcrop size. Forest does not seem to be a barrier to bee movement, and although most species probably nest in the forests, they use the highly diverse plants of the outcrops as a complementary food source. Oxford University Press 2020-10-05 /pmc/articles/PMC7734964/ /pubmed/33015710 http://dx.doi.org/10.1093/ee/nvaa115 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of Entomological Society of America. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Community Ecology
Maia, Ulysses M
Pinto, Carlos E
Miranda, Leonardo S
Coelho, Beatriz W T
Santos Junior, José E
Raiol, Rafael L
Imperatriz-Fonseca, Vera L
Giannini, Tereza C
Forest Matrix Fosters High Similarity in Bee Composition Occurring on Isolated Outcrops Within Amazon Biome
title Forest Matrix Fosters High Similarity in Bee Composition Occurring on Isolated Outcrops Within Amazon Biome
title_full Forest Matrix Fosters High Similarity in Bee Composition Occurring on Isolated Outcrops Within Amazon Biome
title_fullStr Forest Matrix Fosters High Similarity in Bee Composition Occurring on Isolated Outcrops Within Amazon Biome
title_full_unstemmed Forest Matrix Fosters High Similarity in Bee Composition Occurring on Isolated Outcrops Within Amazon Biome
title_short Forest Matrix Fosters High Similarity in Bee Composition Occurring on Isolated Outcrops Within Amazon Biome
title_sort forest matrix fosters high similarity in bee composition occurring on isolated outcrops within amazon biome
topic Community Ecology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7734964/
https://www.ncbi.nlm.nih.gov/pubmed/33015710
http://dx.doi.org/10.1093/ee/nvaa115
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