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Predicting changes in bee assemblages following state transitions at North American dryland ecotones

Drylands worldwide are experiencing ecosystem state transitions: the expansion of some ecosystem types at the expense of others. Bees in drylands are particularly abundant and diverse, with potential for large compositional differences and seasonal turnover across ecotones. To better understand how...

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Autores principales: Kazenel, Melanie R., Wright, Karen W., Bettinelli, Julieta, Griswold, Terry L., Whitney, Kenneth D., Rudgers, Jennifer A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6971228/
https://www.ncbi.nlm.nih.gov/pubmed/31959812
http://dx.doi.org/10.1038/s41598-020-57553-2
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author Kazenel, Melanie R.
Wright, Karen W.
Bettinelli, Julieta
Griswold, Terry L.
Whitney, Kenneth D.
Rudgers, Jennifer A.
author_facet Kazenel, Melanie R.
Wright, Karen W.
Bettinelli, Julieta
Griswold, Terry L.
Whitney, Kenneth D.
Rudgers, Jennifer A.
author_sort Kazenel, Melanie R.
collection PubMed
description Drylands worldwide are experiencing ecosystem state transitions: the expansion of some ecosystem types at the expense of others. Bees in drylands are particularly abundant and diverse, with potential for large compositional differences and seasonal turnover across ecotones. To better understand how future ecosystem state transitions may influence bees, we compared bee assemblages and their seasonality among sites at the Sevilleta National Wildlife Refuge (NM, USA) that represent three dryland ecosystem types (and two ecotones) of the southwestern U.S. (Plains grassland, Chihuahuan Desert grassland, and Chihuahuan Desert shrubland). Using passive traps, we caught bees during two-week intervals from March–October, 2002–2014. The resulting dataset included 302 bee species and 56 genera. Bee abundance, composition, and diversity differed among ecosystems, indicating that future state transitions could alter bee assemblage composition in our system. We found strong seasonal bee species turnover, suggesting that bee phenological shifts may accompany state transitions. Common species drove the observed trends, and both specialist and generalist bee species were indicators of ecosystem types or months; these species could be sentinels of community-wide responses to future shifts. Our work suggests that predicting the consequences of global change for bee assemblages requires accounting for both within-year and among-ecosystem variation.
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spelling pubmed-69712282020-01-27 Predicting changes in bee assemblages following state transitions at North American dryland ecotones Kazenel, Melanie R. Wright, Karen W. Bettinelli, Julieta Griswold, Terry L. Whitney, Kenneth D. Rudgers, Jennifer A. Sci Rep Article Drylands worldwide are experiencing ecosystem state transitions: the expansion of some ecosystem types at the expense of others. Bees in drylands are particularly abundant and diverse, with potential for large compositional differences and seasonal turnover across ecotones. To better understand how future ecosystem state transitions may influence bees, we compared bee assemblages and their seasonality among sites at the Sevilleta National Wildlife Refuge (NM, USA) that represent three dryland ecosystem types (and two ecotones) of the southwestern U.S. (Plains grassland, Chihuahuan Desert grassland, and Chihuahuan Desert shrubland). Using passive traps, we caught bees during two-week intervals from March–October, 2002–2014. The resulting dataset included 302 bee species and 56 genera. Bee abundance, composition, and diversity differed among ecosystems, indicating that future state transitions could alter bee assemblage composition in our system. We found strong seasonal bee species turnover, suggesting that bee phenological shifts may accompany state transitions. Common species drove the observed trends, and both specialist and generalist bee species were indicators of ecosystem types or months; these species could be sentinels of community-wide responses to future shifts. Our work suggests that predicting the consequences of global change for bee assemblages requires accounting for both within-year and among-ecosystem variation. Nature Publishing Group UK 2020-01-20 /pmc/articles/PMC6971228/ /pubmed/31959812 http://dx.doi.org/10.1038/s41598-020-57553-2 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Kazenel, Melanie R.
Wright, Karen W.
Bettinelli, Julieta
Griswold, Terry L.
Whitney, Kenneth D.
Rudgers, Jennifer A.
Predicting changes in bee assemblages following state transitions at North American dryland ecotones
title Predicting changes in bee assemblages following state transitions at North American dryland ecotones
title_full Predicting changes in bee assemblages following state transitions at North American dryland ecotones
title_fullStr Predicting changes in bee assemblages following state transitions at North American dryland ecotones
title_full_unstemmed Predicting changes in bee assemblages following state transitions at North American dryland ecotones
title_short Predicting changes in bee assemblages following state transitions at North American dryland ecotones
title_sort predicting changes in bee assemblages following state transitions at north american dryland ecotones
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6971228/
https://www.ncbi.nlm.nih.gov/pubmed/31959812
http://dx.doi.org/10.1038/s41598-020-57553-2
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