IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v434y2020ics0304380020302763.html
   My bibliography  Save this article

Modelling prey-predator interactions in Messina beachrock pools

Author

Listed:
  • Savoca, S.
  • Grifó, G.
  • Panarello, G.
  • Albano, M.
  • Giacobbe, S.
  • Capillo, G.
  • Spanó, N.
  • Consolo, G.

Abstract

The Strait of Messina (Sicily, Italy) attracts the interest of marine ecologists for the presence of a large variety of habitat and mutually-interacting communities. Among them, beachrock formations, despite their wide geographic distribution, which also includes the Mediterranean area, have been poorly investigated from the biotic viewpoint. In this paper, the spatial and seasonal variability of benthic megafauna from the Messina microtidal beachrock is described. Combining in situ collected data (measurements of abiotic parameters and underwater visual census) with theoretical post-processing analyses (analysis of similarity percentages and cluster analysis), we deduced the possibility to model the dynamics observed between the most dominant species, a top snail, Phorcus turbinatus (Born, 1778), and a hermit crab, Clibanarius erythropus (Latreille, 1818), in terms of a prey-predator interaction. These species gave rise to different intriguing dynamical regimes (including periodic oscillations) that were qualitatively captured by a mathematical model focused on the respective trophic chain levels. The identification of all model parameters and the use of numerical simulations complemented the above analysis and allowed to gain more insights into the complex dynamics of these oligotypic communities and on the most relevant factors determining the ecosystem equilibria.

Suggested Citation

  • Savoca, S. & Grifó, G. & Panarello, G. & Albano, M. & Giacobbe, S. & Capillo, G. & Spanó, N. & Consolo, G., 2020. "Modelling prey-predator interactions in Messina beachrock pools," Ecological Modelling, Elsevier, vol. 434(C).
    • Handle: RePEc:eee:ecomod:v:434:y:2020:i:c:s0304380020302763
    DOI: 10.1016/j.ecolmodel.2020.109206
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380020302763
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2020.109206?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. Iskin da S. Costa, Michel & dos Anjos, Lucas, 2018. "Multiple hydra effect in a predator–prey model with Allee effect and mutual interference in the predator," Ecological Modelling, Elsevier, vol. 373(C), pages 22-24.
    2. Bassett, Alastair & Krause, Andrew L. & Van Gorder, Robert A., 2017. "Continuous dispersal in a model of predator–prey-subsidy population dynamics," Ecological Modelling, Elsevier, vol. 354(C), pages 115-122.
    3. Xu, Shannan & Chen, Zuozhi & Li, Chunhou & Huang, Xiaoping & Li, Shiyu, 2011. "Assessing the carrying capacity of tilapia in an intertidal mangrove-based polyculture system of Pearl River Delta, China," Ecological Modelling, Elsevier, vol. 222(3), pages 846-856.
    4. Consolo, Giancarlo & Valenti, Giovanna, 2019. "Secondary seed dispersal in the Klausmeier model of vegetation for sloped semi-arid environments," Ecological Modelling, Elsevier, vol. 402(C), pages 66-75.
    5. Fitzgerald, Colm J. & Shephard, Samuel & McLoone, Paul & Kelly, Fiona L. & Farnsworth, Keith D., 2019. "Evaluating management options for two fisheries that conflict through predator–prey interactions of target species," Ecological Modelling, Elsevier, vol. 410(C), pages 1-1.
    6. Ortiz, Marco & Campos, Leonardo & Berrios, Fernando & Rodriguez, Fabián & Hermosillo, Brenda & González, Jorge, 2013. "Network properties and keystoneness assessment in different intertidal communities dominated by two ecosystem engineer species (SE Pacific coast): A comparative analysis," Ecological Modelling, Elsevier, vol. 250(C), pages 307-318.
    7. Wethey, David S. & Brin, Lindsay D. & Helmuth, Brian & Mislan, K.A.S., 2011. "Predicting intertidal organism temperatures with modified land surface models," Ecological Modelling, Elsevier, vol. 222(19), pages 3568-3576.
    8. José M. Montoya & Stuart L. Pimm & Ricard V. Solé, 2006. "Ecological networks and their fragility," Nature, Nature, vol. 442(7100), pages 259-264, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Shang, Zuchong & Qiao, Yuanhua & Duan, Lijuan & Miao, Jun, 2021. "Bifurcation analysis and global dynamics in a predator–prey system of Leslie type with an increasing functional response," Ecological Modelling, Elsevier, vol. 455(C).

    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. Zechen Wang & Zhenqin Shi & Jingeng Huo & Wenbo Zhu & Yanhui Yan & Na Ding, 2023. "Construction and Optimization of an Ecological Network in Funiu Mountain Area Based on MSPA and MCR Models, China," Land, MDPI, vol. 12(8), pages 1-13, August.
    2. Xiaolong Lin & Zongmu Yao & Xinguang Wang & Shangqi Xu & Chunjie Tian & Lei Tian, 2021. "Water-Covered Depth with the Freeze–Thaw Cycle Influences Fungal Communities on Rice Straw Decomposition," Agriculture, MDPI, vol. 11(11), pages 1-16, November.
    3. Huaylla, Claudia A. & Kuperman, Marcelo N. & Garibaldi, Lucas A., 2024. "Comparison of two statistical measures of complexity applied to ecological bipartite networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 642(C).
    4. 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.
    5. Zhijun Luo & Xiaofang Yang & Songkai Luo, 2024. "Land Use Simulation and Ecological Network Construction around Poyang Lake Area in China under the Goal of Sustainable Development," Sustainability, MDPI, vol. 16(18), pages 1-24, September.
    6. Dina in ‘t Zandt & Zuzana Kolaříková & Tomáš Cajthaml & Zuzana Münzbergová, 2023. "Plant community stability is associated with a decoupling of prokaryote and fungal soil networks," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    7. Bellingeri, Michele & Cassi, Davide & Vincenzi, Simone, 2013. "Increasing the extinction risk of highly connected species causes a sharp robust-to-fragile transition in empirical food webs," Ecological Modelling, Elsevier, vol. 251(C), pages 1-8.
    8. Zhang, Yan & Wu, Tong & Song, Changsu & Hein, Lars & Shi, Faqi & Han, Mingchen & Ouyang, Zhiyun, 2022. "Influences of climate change and land use change on the interactions of ecosystem services in China’s Xijiang River Basin," Ecosystem Services, Elsevier, vol. 58(C).
    9. Whitehouse, George A. & Aydin, Kerim Y., 2020. "Assessing the sensitivity of three Alaska marine food webs to perturbations: an example of Ecosim simulations using Rpath," Ecological Modelling, Elsevier, vol. 429(C).
    10. Saucan, Emil & Sreejith, R.P. & Vivek-Ananth, R.P. & Jost, Jürgen & Samal, Areejit, 2019. "Discrete Ricci curvatures for directed networks," Chaos, Solitons & Fractals, Elsevier, vol. 118(C), pages 347-360.
    11. Ortiz, Marco & Berrios, Fernando & Campos, Leonardo & Uribe, Roberto & Ramirez, Alejandro & Hermosillo-Núñez, Brenda & González, Jorge & Rodriguez-Zaragoza, Fabián, 2015. "Mass balanced trophic models and short-term dynamical simulations for benthic ecological systems of Mejillones and Antofagasta bays (SE Pacific): Comparative network structure and assessment of human ," Ecological Modelling, Elsevier, vol. 309, pages 153-162.
    12. Wang, Jin-Liang & Wu, Huai-Ning, 2011. "Stability analysis of impulsive parabolic complex networks," Chaos, Solitons & Fractals, Elsevier, vol. 44(11), pages 1020-1034.
    13. Torres-Alruiz, Maria Daniela & Rodríguez, Diego J., 2013. "A topo-dynamical perspective to evaluate indirect interactions in trophic webs: New indexes," Ecological Modelling, Elsevier, vol. 250(C), pages 363-369.
    14. Shengnan Chen & Huiyan He & Rongrong Zong & Kaiwen Liu & Yutian Miao & Miaomiao Yan & Lei Xu, 2020. "Geographical Patterns of Algal Communities Associated with Different Urban Lakes in China," IJERPH, MDPI, vol. 17(3), pages 1-19, February.
    15. Yuxiang Zhao & Zishu Liu & Baofeng Zhang & Jingjie Cai & Xiangwu Yao & Meng Zhang & Ye Deng & Baolan Hu, 2023. "Inter-bacterial mutualism promoted by public goods in a system characterized by deterministic temperature variation," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    16. Hayato Goto & Hideki Takayasu & Misako Takayasu, 2017. "Estimating risk propagation between interacting firms on inter-firm complex network," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-12, October.
    17. Robin Lamarche-Perrin & Sven Banisch & Eckehard Olbrich, 2016. "The Information Bottleneck Method For Optimal Prediction Of Multilevel Agent-Based Systems," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 19(01n02), pages 1-45, February.
    18. de Godoy, Isabelle Bueno Silva & McGrane-Corrigan, Blake & Mason, Oliver & Moral, Rafael de Andrade & Godoy, Wesley Augusto Conde, 2023. "Plant-host shift, spatial persistence, and the viability of an invasive insect population," Ecological Modelling, Elsevier, vol. 475(C).
    19. Gabriele Grifò, 2023. "Vegetation Patterns in the Hyperbolic Klausmeier Model with Secondary Seed Dispersal," Mathematics, MDPI, vol. 11(5), pages 1-14, February.
    20. Marco Alberto Javarone & Daniele Marinazzo, 2018. "Dilution of Ferromagnets via a Random Graph-Based Strategy," Complexity, Hindawi, vol. 2018, pages 1-11, April.

    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:ecomod:v:434:y:2020:i:c:s0304380020302763. 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/ecological-modelling .

    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.