Forest Matrix Fosters High Similarity in Bee Composition Occurring on Isolated Outcrops Within Amazon Biome.
In: Environmental Entomology, Jg. 49 (2020-12-01), Heft 6, S. 1374-1382
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Zugriff:
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. [ABSTRACT FROM AUTHOR]
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Forest Matrix Fosters High Similarity in Bee Composition Occurring on Isolated Outcrops Within Amazon Biome.
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Autor/in / Beteiligte Person: | Maia, Ulysses M ; Pinto, Carlos E ; Miranda, Leonardo S ; Coelho, Beatriz W T ; Junior, José E Santos ; Raiol, Rafael L ; Imperatriz-Fonseca, Vera L ; Giannini, Tereza C |
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Zeitschrift: | Environmental Entomology, Jg. 49 (2020-12-01), Heft 6, S. 1374-1382 |
Veröffentlichung: | 2020 |
Medientyp: | academicJournal |
ISSN: | 0046-225X (print) |
DOI: | 10.1093/ee/nvaa115 |
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