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      Pollinator individual‐based networks reveal the specialized plant–pollinator mutualism in two biodiverse communities

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          Abstract

          Generalization of pollination systems is widely accepted by ecologists in the studies of plant–pollinator interaction networks at the community level, but the degree of generalization of pollination networks remains largely unknown at the individual pollinator level. Using potential legitimate pollinators that were constantly visiting flowers in two alpine meadow communities, we analyzed the differences in the pollination network structure between the pollinator individual level and species level. The results showed that compared to the pollinator species‐based networks, the linkage density, interaction diversity, interaction evenness, the average plant linkage level, and interaction diversity increased, but connectance, degree of nestedness, the average of pollinator linkage level, and interaction diversity decreased in the pollinator individual‐based networks, indicating that pollinator individuals had a narrower food niche than their counterpart species. Pollination networks at the pollinator individual level were more specialized at the network level ( H2) and the plant species node level ( d′) than at the pollinator species‐level networks, reducing the chance of underestimating levels of specialization in pollination systems. The results emphasize that research into pollinator individual‐based pollination networks will improve our understanding of the pollination networks at the pollinator species level and the coevolution of flowering plants and pollinators.

          Abstract

          Our finding revealed that the pollinator individual‐level pollination networks were specialized at network and plant node level. The pollinator individual‐based pollination networks reduce the chance of underestimating levels of specialization and improve our understanding of coevolution of flowering plants and pollinators in pollination systems.

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          Generalization in Pollination Systems, and Why it Matters

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            The modularity of pollination networks.

            In natural communities, species and their interactions are often organized as nonrandom networks, showing distinct and repeated complex patterns. A prevalent, but poorly explored pattern is ecological modularity, with weakly interlinked subsets of species (modules), which, however, internally consist of strongly connected species. The importance of modularity has been discussed for a long time, but no consensus on its prevalence in ecological networks has yet been reached. Progress is hampered by inadequate methods and a lack of large datasets. We analyzed 51 pollination networks including almost 10,000 species and 20,000 links and tested for modularity by using a recently developed simulated annealing algorithm. All networks with >150 plant and pollinator species were modular, whereas networks with <50 species were never modular. Both module number and size increased with species number. Each module includes one or a few species groups with convergent trait sets that may be considered as coevolutionary units. Species played different roles with respect to modularity. However, only 15% of all species were structurally important to their network. They were either hubs (i.e., highly linked species within their own module), connectors linking different modules, or both. If these key species go extinct, modules and networks may break apart and initiate cascades of extinction. Thus, species serving as hubs and connectors should receive high conservation priorities.
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              Adaptive Radiation of Reproductive Characteristics in Angiosperms, I: Pollination Mechanisms

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                Author and article information

                Contributors
                yangyp@mail.kib.ac.cn
                duanyw@mail.kib.ac.cn
                Journal
                Ecol Evol
                Ecol Evol
                10.1002/(ISSN)2045-7758
                ECE3
                Ecology and Evolution
                John Wiley and Sons Inc. (Hoboken )
                2045-7758
                25 November 2021
                December 2021
                : 11
                : 23 ( doiID: 10.1002/ece3.v11.23 )
                : 17509-17518
                Affiliations
                [ 1 ] Germplasm Bank of Wild Species Kunming Institute of Botany Chinese Academy of Sciences Kunming China
                [ 2 ] University of Chinese Academy of Sciences Beijing China
                [ 3 ] Institute of Tibetan Plateau Research at Kunming Kunming Institute of Botany Chinese Academy of Sciences Kunming China
                Author notes
                [*] [* ] Correspondence

                Yuan‐Wen Duan and Yong‐Ping Yang, Germplasm Bank of Wild Species, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China.

                Emails: duanyw@ 123456mail.kib.ac.cn ; yangyp@ 123456mail.kib.ac.cn

                Author information
                https://orcid.org/0000-0002-1651-5274
                https://orcid.org/0000-0002-0327-2664
                https://orcid.org/0000-0002-8399-5116
                Article
                ECE38384
                10.1002/ece3.8384
                8668776
                34938525
                9581d605-79e4-40f7-893f-fc8bdd7a2fa2
                © 2021 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 08 November 2021
                : 22 May 2021
                : 08 November 2021
                Page count
                Figures: 4, Tables: 4, Pages: 10, Words: 7375
                Funding
                Funded by: Chinese Academy of Sciences , doi 10.13039/501100002367;
                Award ID: XDA20050000
                Funded by: Second Tibetan Scientific Expedition and Research
                Award ID: 2019QZKK0502
                Funded by: China Postdoctoral Science Foundation , doi 10.13039/501100002858;
                Award ID: 2021M693235
                Funded by: Postdoctoral Directional Training Foundation of Yunnan Province
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                December 2021
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.0.9 mode:remove_FC converted:13.12.2021

                Evolutionary Biology
                generalization,individual‐based network,pollination network,qinghai–tibet plateau,specialization

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