Literature DB >> 27600659

Niche partitioning due to adaptive foraging reverses effects of nestedness and connectance on pollination network stability.

Fernanda S Valdovinos1,2, Berry J Brosi3,4, Heather M Briggs4,5, Pablo Moisset de Espanés6, Rodrigo Ramos-Jiliberto7, Neo D Martinez8,9.   

Abstract

Much research debates whether properties of ecological networks such as nestedness and connectance stabilise biological communities while ignoring key behavioural aspects of organisms within these networks. Here, we computationally assess how adaptive foraging (AF) behaviour interacts with network architecture to determine the stability of plant-pollinator networks. We find that AF reverses negative effects of nestedness and positive effects of connectance on the stability of the networks by partitioning the niches among species within guilds. This behaviour enables generalist pollinators to preferentially forage on the most specialised of their plant partners which increases the pollination services to specialist plants and cedes the resources of generalist plants to specialist pollinators. We corroborate these behavioural preferences with intensive field observations of bee foraging. Our results show that incorporating key organismal behaviours with well-known biological mechanisms such as consumer-resource interactions into the analysis of ecological networks may greatly improve our understanding of complex ecosystems.
© 2016 John Wiley & Sons Ltd/CNRS.

Entities:  

Keywords:  Adaptive behaviour; community stability; consumer-resource interactions; mechanistic models; mutualistic networks; population dynamics

Mesh:

Year:  2016        PMID: 27600659     DOI: 10.1111/ele.12664

Source DB:  PubMed          Journal:  Ecol Lett        ISSN: 1461-023X            Impact factor:   9.492


  18 in total

1.  Pollinator interaction flexibility across scales affects patch colonization and occupancy.

Authors:  Marília Palumbo Gaiarsa; Claire Kremen; Lauren C Ponisio
Journal:  Nat Ecol Evol       Date:  2021-04-01       Impact factor: 15.460

2.  Experimental species removals impact the architecture of pollination networks.

Authors:  Berry J Brosi; Kyle Niezgoda; Heather M Briggs
Journal:  Biol Lett       Date:  2017-06       Impact factor: 3.703

3.  Directed movement changes coexistence outcomes in heterogeneous environments.

Authors:  Bo Zhang; King-Yeung Lam; Wei-Ming Ni; Rossana Signorelli; Kevin M Collins; Zhiyuan Fu; Lu Zhai; Yuan Lou; Donald L DeAngelis; Alan Hastings
Journal:  Ecol Lett       Date:  2021-11-24       Impact factor: 9.492

4.  Seasonal structure of interactions enhances multidimensional stability of mutualistic networks.

Authors:  François Duchenne; Rafael O Wüest; Catherine H Graham
Journal:  Proc Biol Sci       Date:  2022-09-14       Impact factor: 5.530

5.  Mutualism supports biodiversity when the direct competition is weak.

Authors:  Alberto Pascual-García; Ugo Bastolla
Journal:  Nat Commun       Date:  2017-02-24       Impact factor: 14.919

6.  Simulated tri-trophic networks reveal complex relationships between species diversity and interaction diversity.

Authors:  Nicholas A Pardikes; Will Lumpkin; Paul J Hurtado; Lee A Dyer
Journal:  PLoS One       Date:  2018-03-26       Impact factor: 3.240

7.  Species traits and network structure predict the success and impacts of pollinator invasions.

Authors:  Fernanda S Valdovinos; Eric L Berlow; Pablo Moisset de Espanés; Rodrigo Ramos-Jiliberto; Diego P Vázquez; Neo D Martinez
Journal:  Nat Commun       Date:  2018-05-31       Impact factor: 14.919

8.  Diverse interactions and ecosystem engineering can stabilize community assembly.

Authors:  Justin D Yeakel; Mathias M Pires; Marcus A M de Aguiar; James L O'Donnell; Paulo R Guimarães; Dominique Gravel; Thilo Gross
Journal:  Nat Commun       Date:  2020-07-03       Impact factor: 14.919

9.  Implications of non-native species for mutualistic network resistance and resilience.

Authors:  Clare E Aslan
Journal:  PLoS One       Date:  2019-06-11       Impact factor: 3.240

10.  Reconstruction of plant-pollinator networks from observational data.

Authors:  Jean-Gabriel Young; Fernanda S Valdovinos; M E J Newman
Journal:  Nat Commun       Date:  2021-06-23       Impact factor: 14.919

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.