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Loss of pollinator specialization revealed by historical opportunistic data: Insights from network-based analysis
We are currently facing a large decline in bee populations worldwide. Who are the winners and losers? Generalist bee species, notably those able to shift their diet to new or alternative floral resources, are expected to be among the least vulnerable to environmental change. However, studies of inte...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7357768/ https://www.ncbi.nlm.nih.gov/pubmed/32658919 http://dx.doi.org/10.1371/journal.pone.0235890 |
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author | Jacquemin, Floriane Violle, Cyrille Munoz, François Mahy, Grégory Rasmont, Pierre Roberts, Stuart P. M. Vray, Sarah Dufrêne, Marc |
author_facet | Jacquemin, Floriane Violle, Cyrille Munoz, François Mahy, Grégory Rasmont, Pierre Roberts, Stuart P. M. Vray, Sarah Dufrêne, Marc |
author_sort | Jacquemin, Floriane |
collection | PubMed |
description | We are currently facing a large decline in bee populations worldwide. Who are the winners and losers? Generalist bee species, notably those able to shift their diet to new or alternative floral resources, are expected to be among the least vulnerable to environmental change. However, studies of interactions between bees and plants over large temporal and geographical scales are limited by a lack of historical records. Here, we used a unique opportunistic century-old countrywide database of bee specimens collected on plants to track changes in the plant-bee interaction network over time. In each historical period considered, and using a network-based modularity analysis, we identified some major groups of species interacting more with each other than with other species (i.e. modules). These modules were related to coherent functional groups thanks to an a posteriory trait-based analysis. We then compared over time the ecological specialization of bees in the network by computing their degree of interaction within and between modules. “True” specialist species (or peripheral species) are involved in few interactions both inside and between modules. We found a global loss of specialist species and specialist strategies. This means that bee species observed in each period tended to use more diverse floral resources from different ecological groups over time, highly specialist species tending to enter/leave the network. Considering the role and functional traits of species in the network, combined with a long-term time series, provides a new perspective for the study of species specialization. |
format | Online Article Text |
id | pubmed-7357768 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-73577682020-07-22 Loss of pollinator specialization revealed by historical opportunistic data: Insights from network-based analysis Jacquemin, Floriane Violle, Cyrille Munoz, François Mahy, Grégory Rasmont, Pierre Roberts, Stuart P. M. Vray, Sarah Dufrêne, Marc PLoS One Research Article We are currently facing a large decline in bee populations worldwide. Who are the winners and losers? Generalist bee species, notably those able to shift their diet to new or alternative floral resources, are expected to be among the least vulnerable to environmental change. However, studies of interactions between bees and plants over large temporal and geographical scales are limited by a lack of historical records. Here, we used a unique opportunistic century-old countrywide database of bee specimens collected on plants to track changes in the plant-bee interaction network over time. In each historical period considered, and using a network-based modularity analysis, we identified some major groups of species interacting more with each other than with other species (i.e. modules). These modules were related to coherent functional groups thanks to an a posteriory trait-based analysis. We then compared over time the ecological specialization of bees in the network by computing their degree of interaction within and between modules. “True” specialist species (or peripheral species) are involved in few interactions both inside and between modules. We found a global loss of specialist species and specialist strategies. This means that bee species observed in each period tended to use more diverse floral resources from different ecological groups over time, highly specialist species tending to enter/leave the network. Considering the role and functional traits of species in the network, combined with a long-term time series, provides a new perspective for the study of species specialization. Public Library of Science 2020-07-13 /pmc/articles/PMC7357768/ /pubmed/32658919 http://dx.doi.org/10.1371/journal.pone.0235890 Text en © 2020 Jacquemin et al 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 Jacquemin, Floriane Violle, Cyrille Munoz, François Mahy, Grégory Rasmont, Pierre Roberts, Stuart P. M. Vray, Sarah Dufrêne, Marc Loss of pollinator specialization revealed by historical opportunistic data: Insights from network-based analysis |
title | Loss of pollinator specialization revealed by historical opportunistic data: Insights from network-based analysis |
title_full | Loss of pollinator specialization revealed by historical opportunistic data: Insights from network-based analysis |
title_fullStr | Loss of pollinator specialization revealed by historical opportunistic data: Insights from network-based analysis |
title_full_unstemmed | Loss of pollinator specialization revealed by historical opportunistic data: Insights from network-based analysis |
title_short | Loss of pollinator specialization revealed by historical opportunistic data: Insights from network-based analysis |
title_sort | loss of pollinator specialization revealed by historical opportunistic data: insights from network-based analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7357768/ https://www.ncbi.nlm.nih.gov/pubmed/32658919 http://dx.doi.org/10.1371/journal.pone.0235890 |
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