IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v540y2020ics0378437119318059.html
   My bibliography  Save this article

Parasite richness and network architecture jointly affect multihost community composition

Author

Listed:
  • Su, Min
  • Yang, Yuanqi

Abstract

Broad evidence has shown that network structure can play an important role in food-web persistence, but little is known on how the structure of parasitic links affects the multihost community. Following a previous model of parasitic infection in host food-web, we have explored the effects of parasite richness and architecture of parasitic links on species persistence and topological properties within the merged network including predatory and parasitic sub-webs. Results have shown that the effect of parasitic links on community structure depends on both the level of parasite richness and network architecture. Particularly for architecture network generated by inverse niche model, the standard deviation of vulnerability with low connectance of parasitic links amazingly reaches a hollow at moderate parasite richness, but high for the extreme richness (weak or strong). Although network architecture can strongly affect topological properties of multihost community, it can only weakly influence the ability of species to coexist. The results emphasize that addition of parasites in the ecosystem could be an important process for species diversity and topological structure of ecological network.

Suggested Citation

  • Su, Min & Yang, Yuanqi, 2020. "Parasite richness and network architecture jointly affect multihost community composition," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
  • Handle: RePEc:eee:phsmap:v:540:y:2020:i:c:s0378437119318059
    DOI: 10.1016/j.physa.2019.123213
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437119318059
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

    File URL: https://libkey.io/10.1016/j.physa.2019.123213?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Richard J. Williams & Neo D. Martinez, 2000. "Simple rules yield complex food webs," Nature, Nature, vol. 404(6774), pages 180-183, March.
    2. Serguei Saavedra & Daniel B. Stouffer & Brian Uzzi & Jordi Bascompte, 2011. "Strong contributors to network persistence are the most vulnerable to extinction," Nature, Nature, vol. 478(7368), pages 233-235, October.
    3. Ugo Bastolla & Miguel A. Fortuna & Alberto Pascual-García & Antonio Ferrera & Bartolo Luque & Jordi Bascompte, 2009. "The architecture of mutualistic networks minimizes competition and increases biodiversity," Nature, Nature, vol. 458(7241), pages 1018-1020, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sebastián Bustos & Charles Gomez & Ricardo Hausmann & César A Hidalgo, 2012. "The Dynamics of Nestedness Predicts the Evolution of Industrial Ecosystems," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-8, November.
    2. Sabine Dritz & Rebecca A. Nelson & Fernanda S. Valdovinos, 2023. "The role of intra-guild indirect interactions in assembling plant-pollinator networks," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    3. Sandra Hervías-Parejo & Mar Cuevas-Blanco & Lucas Lacasa & Anna Traveset & Isabel Donoso & Ruben Heleno & Manuel Nogales & Susana Rodríguez-Echeverría & Carlos J. Melián & Victor M. Eguíluz, 2024. "On the structure of species-function participation in multilayer ecological networks," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    4. Chengyi Tu & Joel Carr & Samir Suweis, 2016. "A data driven network approach to rank countries production diversity and food specialization," Papers 1606.01270, arXiv.org.
    5. Merza, Ádám & London, András & Kiss, István Márton & Pelle, Anita & Dombi, József & Németh, Tamás, 2016. "A világkereskedelem hálózatelméleti vizsgálatának lehetőségeiről [The scope for analysis of world trade through network theory]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(1), pages 79-98.
    6. Chengyi Tu & Joel Carr & Samir Suweis, 2016. "A Data Driven Network Approach to Rank Countries Production Diversity and Food Specialization," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-15, November.
    7. Cristina Fiera & Jan Christian Habel & Werner Ulrich, 2018. "Neutral colonisations drive high beta-diversity in cavernicole springtails (Collembola)," PLOS ONE, Public Library of Science, vol. 13(1), pages 1-12, January.
    8. Colton Brehm & Astrid Layton, 2021. "Nestedness of eco‐industrial networks: Exploring linkage distribution to promote sustainable industrial growth," Journal of Industrial Ecology, Yale University, vol. 25(1), pages 205-218, February.
    9. He, He & Yang, Bo & Hu, Xiaoming, 2016. "Exploring community structure in networks by consensus dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 450(C), pages 342-353.
    10. Fath, Brian D. & Halnes, Geir, 2007. "Cyclic energy pathways in ecological food webs," Ecological Modelling, Elsevier, vol. 208(1), pages 17-24.
    11. Antonios Garas & Celine Rozenblat & Frank Schweitzer, 2015. "The network structure of city-firm relations," Papers 1512.02859, arXiv.org.
    12. Benadi, Gita & Blüthgen, Nico & Hovestadt, Thomas & Poethke, Hans-Joachim, 2013. "Contrasting specialization–stability relationships in plant–animal mutualistic systems," Ecological Modelling, Elsevier, vol. 258(C), pages 65-73.
    13. Michel Alexandre & Felipe Jordão Xavier & Thiago Christiano Silva & Francisco A. Rodrigues, 2022. "Nestedness in the Brazilian Financial System," Working Papers Series 566, Central Bank of Brazil, Research Department.
    14. Jihui Han & Wei Li & Longfeng Zhao & Zhu Su & Yijiang Zou & Weibing Deng, 2017. "Community detection in dynamic networks via adaptive label propagation," PLOS ONE, Public Library of Science, vol. 12(11), pages 1-16, November.
    15. Liu, Yan & Mei, Jingling & Li, Wenxue, 2018. "Stochastic stabilization problem of complex networks without strong connectedness," Applied Mathematics and Computation, Elsevier, vol. 332(C), pages 304-315.
    16. Nonaka, Etsuko & Kuparinen, Anna, 2023. "Limited effects of size-selective harvesting and harvesting-induced life-history changes on the temporal variability of biomass dynamics in complex food webs," Ecological Modelling, Elsevier, vol. 476(C).
    17. Leto Peel & Tiago P. Peixoto & Manlio De Domenico, 2022. "Statistical inference links data and theory in network science," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    18. Fabio Saracco & Riccardo Di Clemente & Andrea Gabrielli & Tiziano Squartini, 2015. "Detecting early signs of the 2007-2008 crisis in the world trade," Papers 1508.03533, arXiv.org, revised Jul 2016.
    19. Timothée Poisot & Sonia Kéfi & Serge Morand & Michal Stanko & Pablo A Marquet & Michael E Hochberg, 2015. "A Continuum of Specialists and Generalists in Empirical Communities," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-12, May.
    20. Scotti, Marco & Bondavalli, Cristina & Bodini, Antonio, 2009. "Linking trophic positions and flow structure constraints in ecological networks: Energy transfer efficiency or topology effect?," Ecological Modelling, Elsevier, vol. 220(21), pages 3070-3080.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:phsmap:v:540:y:2020:i:c:s0378437119318059. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.