Relative species abundance successfully predicts nestedness and interaction frequency of monthly pollination networks in an alpine meadow.

Plant-pollinator networks have been repeatedly reported as cumulative ones that are described with >1 years observations. However, such cumulative networks are composed of pairwise interactions recorded at different periods, and thus may not be able to reflect the reality of species interactions...

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Main Authors: Lei Hu, Yuran Dong, Shucun Sun
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0224316
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spelling doaj-9a1e31255a2a42ed8855f2dcbfa9150d2021-03-03T21:11:18ZengPublic Library of Science (PLoS)PLoS ONE1932-62032019-01-011410e022431610.1371/journal.pone.0224316Relative species abundance successfully predicts nestedness and interaction frequency of monthly pollination networks in an alpine meadow.Lei HuYuran DongShucun SunPlant-pollinator networks have been repeatedly reported as cumulative ones that are described with >1 years observations. However, such cumulative networks are composed of pairwise interactions recorded at different periods, and thus may not be able to reflect the reality of species interactions in nature (e.g., early-flowering plants typically do not compete for shared pollinators with late-flowering plants, but they are assumed to do so in accumulated networks). Here, we examine the monthly sampling structure of an alpine plant-pollinator bipartite network over a two-year period to determine whether relative species abundance and species traits better explain the network structure of monthly networks than yearly ones. Although community composition and species abundance varied from one month to another, the monthly networks (as well as the yearly networks described with annual pooled data) had a highly nested structure, in which specialists directly interact with generalist partners. Moreover, relative species abundance predicted the nestedness in both the monthly and yearly networks and accounted for a statistically significant percentage of the variation (i.e., 20%-44%) in the pairwise interactions of monthly networks, but not yearly networks. The combination of relative species abundance and species traits (but not species traits only) showed a similar prediction power in terms of both network nestedness and pairwise interaction frequencies. Considering the previously recognized structural pattern and associated mechanisms of plant-pollinator networks, we propose that relative species abundance may be an important factor influencing both nestedness and interaction frequency of pollination networks.https://doi.org/10.1371/journal.pone.0224316
collection DOAJ
language English
format Article
sources DOAJ
author Lei Hu
Yuran Dong
Shucun Sun
spellingShingle Lei Hu
Yuran Dong
Shucun Sun
Relative species abundance successfully predicts nestedness and interaction frequency of monthly pollination networks in an alpine meadow.
PLoS ONE
author_facet Lei Hu
Yuran Dong
Shucun Sun
author_sort Lei Hu
title Relative species abundance successfully predicts nestedness and interaction frequency of monthly pollination networks in an alpine meadow.
title_short Relative species abundance successfully predicts nestedness and interaction frequency of monthly pollination networks in an alpine meadow.
title_full Relative species abundance successfully predicts nestedness and interaction frequency of monthly pollination networks in an alpine meadow.
title_fullStr Relative species abundance successfully predicts nestedness and interaction frequency of monthly pollination networks in an alpine meadow.
title_full_unstemmed Relative species abundance successfully predicts nestedness and interaction frequency of monthly pollination networks in an alpine meadow.
title_sort relative species abundance successfully predicts nestedness and interaction frequency of monthly pollination networks in an alpine meadow.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2019-01-01
description Plant-pollinator networks have been repeatedly reported as cumulative ones that are described with >1 years observations. However, such cumulative networks are composed of pairwise interactions recorded at different periods, and thus may not be able to reflect the reality of species interactions in nature (e.g., early-flowering plants typically do not compete for shared pollinators with late-flowering plants, but they are assumed to do so in accumulated networks). Here, we examine the monthly sampling structure of an alpine plant-pollinator bipartite network over a two-year period to determine whether relative species abundance and species traits better explain the network structure of monthly networks than yearly ones. Although community composition and species abundance varied from one month to another, the monthly networks (as well as the yearly networks described with annual pooled data) had a highly nested structure, in which specialists directly interact with generalist partners. Moreover, relative species abundance predicted the nestedness in both the monthly and yearly networks and accounted for a statistically significant percentage of the variation (i.e., 20%-44%) in the pairwise interactions of monthly networks, but not yearly networks. The combination of relative species abundance and species traits (but not species traits only) showed a similar prediction power in terms of both network nestedness and pairwise interaction frequencies. Considering the previously recognized structural pattern and associated mechanisms of plant-pollinator networks, we propose that relative species abundance may be an important factor influencing both nestedness and interaction frequency of pollination networks.
url https://doi.org/10.1371/journal.pone.0224316
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AT shucunsun relativespeciesabundancesuccessfullypredictsnestednessandinteractionfrequencyofmonthlypollinationnetworksinanalpinemeadow
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