IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v378y2018icp13-25.html
   My bibliography  Save this article

Trophic web structure and ecosystem attributes of a temperate coastal lagoon (Ria de Aveiro, Portugal)

Author

Listed:
  • Bueno-Pardo, Juan
  • García-Seoane, Eva
  • Sousa, Ana I.
  • Coelho, João P.
  • Morgado, Mariana
  • Frankenbach, Silja
  • Ezequiel, João
  • Vaz, Nuno
  • Quintino, Victor
  • Rodrigues, Ana M.
  • Leandro, Sérgio
  • Luis, António
  • Serôdio, João
  • Cunha, Marina R.
  • Calado, António J.
  • Lillebø, Ana
  • Rebelo, Jose E.
  • Queiroga, Henrique

Abstract

A high quality data collection has been carried out between 2004 and 2014 to develop the first trophic ECOPATH model for the functioning of the sub and intertidal zones of Ria de Aveiro. This schematic representation allows the characterization of the most important compartments of biomass and flows of energy representing the functioning of the ecosystem, and can be used in the fields of decision-making and management. The model considered 26 functional groups from primary producers to top-predators and two different fisheries (artisanal and leisure), and showed that Ria de Aveiro is a dynamic ecosystem dominated by a high biomass of primary producers, where the transference of energy among compartments is, to a large extent, accomplished through the detritus path. The model also provides several ecological indicators on the state of maturity of the ecosystem, showing that Ria de Aveiro is in an intermediate state of maturity with a relatively complex food web and resilience to environmental changes. As discussed, this state of maturity is probably determined by human action pervading the system to advance in the expectable ecological succession of a coastal lagoon. These aspects, together with indicators of elevated fishing pressure and predation within the system, underline the necessity of controlling illegal extraction activities and monitoring the biomass of the main functional groups of the system, especially top predators, in order to keep the functioning of the ecosystem of Ria de Aveiro in its current condition.

Suggested Citation

  • Bueno-Pardo, Juan & García-Seoane, Eva & Sousa, Ana I. & Coelho, João P. & Morgado, Mariana & Frankenbach, Silja & Ezequiel, João & Vaz, Nuno & Quintino, Victor & Rodrigues, Ana M. & Leandro, Sérgio &, 2018. "Trophic web structure and ecosystem attributes of a temperate coastal lagoon (Ria de Aveiro, Portugal)," Ecological Modelling, Elsevier, vol. 378(C), pages 13-25.
    • Handle: RePEc:eee:ecomod:v:378:y:2018:i:c:p:13-25
    DOI: 10.1016/j.ecolmodel.2018.03.009
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380018300991
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2018.03.009?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. Link, Jason S., 2010. "Adding rigor to ecological network models by evaluating a set of pre-balance diagnostics: A plea for PREBAL," Ecological Modelling, Elsevier, vol. 221(12), pages 1580-1591.
    2. Kaufman, Anthony G. & Borrett, Stuart R., 2010. "Ecosystem network analysis indicators are generally robust to parameter uncertainty in a phosphorus model of Lake Sidney Lanier, USA," Ecological Modelling, Elsevier, vol. 221(8), pages 1230-1238.
    3. Heymans, Johanna Jacomina & Coll, Marta & Link, Jason S. & Mackinson, Steven & Steenbeek, Jeroen & Walters, Carl & Christensen, Villy, 2016. "Best practice in Ecopath with Ecosim food-web models for ecosystem-based management," Ecological Modelling, Elsevier, vol. 331(C), pages 173-184.
    4. Malin Pinsky & Michael Fogarty, 2012. "Lagged social-ecological responses to climate and range shifts in fisheries," Climatic Change, Springer, vol. 115(3), pages 883-891, December.
    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. Zhongfang Zhao & Jiaqi Sun & Zengqiang Yin & Jiuru Cui & Haifeng Gu & Yan Wang & Jiaxing Li & Min Xu & Jisong Yang & Tao Tian, 2023. "Analysis of the Ecosystem Structure and Energy Flow in the Waters of the Wangjiadao Islands," Sustainability, MDPI, vol. 15(5), pages 1-13, February.
    2. Serôdio, João & Bastos, Alexandra & Morelle, Jérôme & Frankenbach, Silja, 2023. "Light niche construction: Motility of sediment-inhabiting diatoms determines the experienced light environment," Ecological Modelling, Elsevier, vol. 481(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. Booth, Shawn & Walters, William J & Steenbeek, Jeroen & Christensen, Villy & Charmasson, Sabine, 2020. "An Ecopath with Ecosim model for the Pacific coast of eastern Japan: Describing the marine environment and its fisheries prior to the Great East Japan earthquake," Ecological Modelling, Elsevier, vol. 428(C).
    2. Borrett, Stuart R. & Sheble, Laura & Moody, James & Anway, Evan C., 2018. "Bibliometric review of ecological network analysis: 2010–2016," Ecological Modelling, Elsevier, vol. 382(C), pages 63-82.
    3. Bentley, Jacob W. & Serpetti, Natalia & Heymans, Johanna Jacomina, 2017. "Investigating the potential impacts of ocean warming on the Norwegian and Barents Seas ecosystem using a time-dynamic food-web model," Ecological Modelling, Elsevier, vol. 360(C), pages 94-107.
    4. Gray DiLeone, A.M. & Ainsworth, C.H., 2019. "Effects of Karenia brevis harmful algal blooms on fish community structure on the West Florida Shelf," Ecological Modelling, Elsevier, vol. 392(C), pages 250-267.
    5. Lercari, Diego & Defeo, Omar & Ortega, Leonardo & Orlando, Luis & Gianelli, Ignacio & Celentano, Eleonora, 2018. "Long-term structural and functional changes driven by climate variability and fishery regimes in a sandy beach ecosystem," Ecological Modelling, Elsevier, vol. 368(C), pages 41-51.
    6. Ricci, P. & Sion, L. & Capezzuto, F. & Cipriano, G. & D'Onghia, G. & Libralato, S. & Maiorano, P. & Tursi, A. & Carlucci, R., 2021. "Modelling the trophic roles of the demersal Chondrichthyes in the Northern Ionian Sea (Central Mediterranean Sea)," Ecological Modelling, Elsevier, vol. 444(C).
    7. Perryman, Holly A. & Tarnecki, Joseph H. & Grüss, Arnaud & Babcock, Elizabeth A. & Sagarese, Skyler R. & Ainsworth, Cameron H. & Gray DiLeone, Alisha M., 2020. "A revised diet matrix to improve the parameterization of a West Florida Shelf Ecopath model for understanding harmful algal bloom impacts," Ecological Modelling, Elsevier, vol. 416(C).
    8. Natugonza, Vianny & Ogutu-Ohwayo, Richard & Musinguzi, Laban & Kashindye, Benedicto & Jónsson, Steingrímur & Valtysson, Hreidar Thor, 2016. "Exploring the structural and functional properties of the Lake Victoria food web, and the role of fisheries, using a mass balance model," Ecological Modelling, Elsevier, vol. 342(C), pages 161-174.
    9. Woodstock, Matthew S. & Sutton, Tracey T. & Frank, Tamara & Zhang, Yuying, 2021. "An early warning sign: trophic structure changes in the oceanic Gulf of Mexico from 2011—2018," Ecological Modelling, Elsevier, vol. 445(C).
    10. Tomczak, M.T. & Niiranen, S. & Hjerne, O. & Blenckner, T., 2012. "Ecosystem flow dynamics in the Baltic Proper—Using a multi-trophic dataset as a basis for food–web modelling," Ecological Modelling, Elsevier, vol. 230(C), pages 123-147.
    11. Tesfaye, Gashaw & Wolff, Matthias, 2018. "Modeling trophic interactions and the impact of an introduced exotic carp species in the Rift Valley Lake Koka, Ethiopia," Ecological Modelling, Elsevier, vol. 378(C), pages 26-36.
    12. Fourriére, Manon & Alvarado, Juan José & Cortés, Jorge & Taylor, Marc H. & Ayala-Bocos, Arturo & Azofeifa-Solano, Juan Carlos & Arauz, Randall & Heidemeyer, Maike & López-Garro, Andrés & Zanella, Ilen, 2019. "Energy flow structure and role of keystone groups in shallow water environments in Isla del Coco, Costa Rica, Eastern Tropical Pacific," Ecological Modelling, Elsevier, vol. 396(C), pages 74-85.
    13. Nancy Grimm & Peter Groffman & Michelle Staudinger & Heather Tallis, 2016. "Climate change impacts on ecosystems and ecosystem services in the United States: process and prospects for sustained assessment," Climatic Change, Springer, vol. 135(1), pages 97-109, March.
    14. Farrah Powell & Arielle Levine & Lucia Ordonez-Gauger, 2022. "Climate adaptation in the market squid fishery: fishermen responses to past variability associated with El Niño Southern Oscillation cycles inform our understanding of adaptive capacity in the face of," Climatic Change, Springer, vol. 173(1), pages 1-21, July.
    15. Ricci, P. & Serpetti, N. & Cascione, D. & Cipriano, G. & D'Onghia, G. & De Padova, D. & Fanizza, C. & Ingrosso, M. & Carlucci, R., 2023. "Investigating fishery and climate change effects on the conservation status of odontocetes in the Northern Ionian Sea (Central Mediterranean Sea)," Ecological Modelling, Elsevier, vol. 485(C).
    16. Andrew R. Tilman & Elisabeth H. Krueger & Lisa C. McManus & James R. Watson, 2023. "Maintaining human wellbeing as socio-environmental systems undergo regime shifts," Papers 2309.04578, arXiv.org.
    17. Borrett, S.R. & Freeze, M.A. & Salas, A.K., 2011. "Equivalence of the realized input and output oriented indirect effects metrics in Ecological Network Analysis," Ecological Modelling, Elsevier, vol. 222(13), pages 2142-2148.
    18. 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.
    19. Yitong Chen & Huirong Liu, 2023. "Critical Perspectives on the New Situation of Global Ocean Governance," Sustainability, MDPI, vol. 15(14), pages 1-17, July.
    20. G. B. Sreekanth & S. K. Chakraborty & A. K. Jaiswar & P. U. Zacharia & K. S. Mohamed, 2021. "Modeling the impacts of fishing regulations in a tropical Indian estuary using Ecopath with Ecosim approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(12), pages 17745-17763, December.

    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:378:y:2018:i:c:p:13-25. 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.