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Interaction frequency, network position, and the temporal persistence of interactions in a plant-pollinator network.

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Title: Interaction frequency, network position, and the temporal persistence of interactions in a plant-pollinator network.
Authors: Chacoff, Natacha P.1,2, Resasco, Julian3, Vázquez, Diego P.4,5,6 dvazquez@mendoza-conicet.gob.ar
Source: Ecology. Jan2018, Vol. 99 Issue 1, p21-28. 8p.
Subjects: Null models (Ecology), Ecology simulation methods, Ecological research, Ecology, Pollinators
Abstract: Ecological interactions are highly dynamic in time and space. Previous studies of plant-animal mutualistic networks have shown that the occurrence of interactions varies substantially across years. We analyzed interannual variation of a quantitative mutualistic network, in which links are weighted by interaction frequency. The network was sampled over six consecutive years, representing one of the longest time series for a community-wide mutualistic network. We estimated the interannual similarity in interactions and assessed the determinants of their persistence. The occurrence of interactions varied greatly among years, with most interactions seen in only one year (64%) and few (20%) in more than two years. This variation was associated with the frequency and position of interactions relative to the network core, so that the network consisted of a persistent core of frequent interactions and many peripheral, infrequent interactions. Null model analyses suggest that species abundances play a substantial role in generating these patterns. Our study represents an important step in the study of ecological networks, furthering our mechanistic understanding of the ecological processes driving the temporal persistence of interactions. [ABSTRACT FROM AUTHOR]
Copyright of Ecology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 127113202
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Interaction frequency, network position, and the temporal persistence of interactions in a plant-pollinator network.
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  Data: <searchLink fieldCode="AR" term="%22Chacoff%2C+Natacha+P%2E%22">Chacoff, Natacha P.</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Resasco%2C+Julian%22">Resasco, Julian</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Vázquez%2C+Diego+P%2E%22">Vázquez, Diego P.</searchLink><relatesTo>4,5,6</relatesTo><i> dvazquez@mendoza-conicet.gob.ar</i>
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  Data: <searchLink fieldCode="JN" term="%22Ecology%22">Ecology</searchLink>. Jan2018, Vol. 99 Issue 1, p21-28. 8p.
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  Label: Abstract
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  Data: Ecological interactions are highly dynamic in time and space. Previous studies of plant-animal mutualistic networks have shown that the occurrence of interactions varies substantially across years. We analyzed interannual variation of a quantitative mutualistic network, in which links are weighted by interaction frequency. The network was sampled over six consecutive years, representing one of the longest time series for a community-wide mutualistic network. We estimated the interannual similarity in interactions and assessed the determinants of their persistence. The occurrence of interactions varied greatly among years, with most interactions seen in only one year (64%) and few (20%) in more than two years. This variation was associated with the frequency and position of interactions relative to the network core, so that the network consisted of a persistent core of frequent interactions and many peripheral, infrequent interactions. Null model analyses suggest that species abundances play a substantial role in generating these patterns. Our study represents an important step in the study of ecological networks, furthering our mechanistic understanding of the ecological processes driving the temporal persistence of interactions. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Ecology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1002/ecy.2063
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      – Code: eng
        Text: English
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        PageCount: 8
        StartPage: 21
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      – SubjectFull: Null models (Ecology)
        Type: general
      – SubjectFull: Ecology simulation methods
        Type: general
      – SubjectFull: Ecological research
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      – SubjectFull: Ecology
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      – SubjectFull: Pollinators
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      – TitleFull: Interaction frequency, network position, and the temporal persistence of interactions in a plant-pollinator network.
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              Text: Jan2018
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              Y: 2018
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