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The Bees among Us: Modelling Occupancy of Solitary Bees

Occupancy modelling has received increasing attention as a tool for differentiating between true absence and non-detection in biodiversity data. This is thought to be particularly useful when a species of interest is spread out over a large area and sampling is constrained. We used occupancy modelli...

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Autores principales: MacIvor, J. Scott, Packer, Laurence
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5135037/
https://www.ncbi.nlm.nih.gov/pubmed/27911954
http://dx.doi.org/10.1371/journal.pone.0164764
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author MacIvor, J. Scott
Packer, Laurence
author_facet MacIvor, J. Scott
Packer, Laurence
author_sort MacIvor, J. Scott
collection PubMed
description Occupancy modelling has received increasing attention as a tool for differentiating between true absence and non-detection in biodiversity data. This is thought to be particularly useful when a species of interest is spread out over a large area and sampling is constrained. We used occupancy modelling to estimate the probability of three phylogenetically independent pairs of native—introduced species [Megachile campanulae (Robertson)—Megachile rotundata (Fab.), Megachile pugnata Say—Megachile centuncularis (L.), Osmia pumila Cresson—Osmia caerulescens (L.)] (Apoidea: Megachilidae) being present when repeated sampling did not always find them. Our study occurred along a gradient of urbanization and used nest boxes (bee hotels) set up over three consecutive years. Occupancy modelling discovered different patterns to those obtained by species detection and abundance-based data alone. For example, it predicted that the species that was ranked 4(th) in terms of detection actually had the greatest occupancy among all six species. The native M. pugnata had decreased occupancy with increasing building footprint and a similar but not significant pattern was found for the native O. pumila. Two introduced bees (M. rotundata and M. centuncularis), and one native (M. campanulae) had modelled occupancy values that increased with increasing urbanization. Occupancy probability differed among urban green space types for three of six bee species, with values for two native species (M. campanulae and O. pumila) being highest in home gardens and that for the exotic O. caerulescens being highest in community gardens. The combination of occupancy modelling with analysis of habitat variables as an augmentation to detection and abundance-based sampling is suggested to be the best way to ensure that urban habitat management results in the desired outcomes.
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spelling pubmed-51350372016-12-21 The Bees among Us: Modelling Occupancy of Solitary Bees MacIvor, J. Scott Packer, Laurence PLoS One Research Article Occupancy modelling has received increasing attention as a tool for differentiating between true absence and non-detection in biodiversity data. This is thought to be particularly useful when a species of interest is spread out over a large area and sampling is constrained. We used occupancy modelling to estimate the probability of three phylogenetically independent pairs of native—introduced species [Megachile campanulae (Robertson)—Megachile rotundata (Fab.), Megachile pugnata Say—Megachile centuncularis (L.), Osmia pumila Cresson—Osmia caerulescens (L.)] (Apoidea: Megachilidae) being present when repeated sampling did not always find them. Our study occurred along a gradient of urbanization and used nest boxes (bee hotels) set up over three consecutive years. Occupancy modelling discovered different patterns to those obtained by species detection and abundance-based data alone. For example, it predicted that the species that was ranked 4(th) in terms of detection actually had the greatest occupancy among all six species. The native M. pugnata had decreased occupancy with increasing building footprint and a similar but not significant pattern was found for the native O. pumila. Two introduced bees (M. rotundata and M. centuncularis), and one native (M. campanulae) had modelled occupancy values that increased with increasing urbanization. Occupancy probability differed among urban green space types for three of six bee species, with values for two native species (M. campanulae and O. pumila) being highest in home gardens and that for the exotic O. caerulescens being highest in community gardens. The combination of occupancy modelling with analysis of habitat variables as an augmentation to detection and abundance-based sampling is suggested to be the best way to ensure that urban habitat management results in the desired outcomes. Public Library of Science 2016-12-02 /pmc/articles/PMC5135037/ /pubmed/27911954 http://dx.doi.org/10.1371/journal.pone.0164764 Text en © 2016 MacIvor, Packer http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
MacIvor, J. Scott
Packer, Laurence
The Bees among Us: Modelling Occupancy of Solitary Bees
title The Bees among Us: Modelling Occupancy of Solitary Bees
title_full The Bees among Us: Modelling Occupancy of Solitary Bees
title_fullStr The Bees among Us: Modelling Occupancy of Solitary Bees
title_full_unstemmed The Bees among Us: Modelling Occupancy of Solitary Bees
title_short The Bees among Us: Modelling Occupancy of Solitary Bees
title_sort bees among us: modelling occupancy of solitary bees
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5135037/
https://www.ncbi.nlm.nih.gov/pubmed/27911954
http://dx.doi.org/10.1371/journal.pone.0164764
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