IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v256y2013icp16-22.html
   My bibliography  Save this article

Sensitivity of euphotic zone properties to CDOM variations in marine ecosystem models

Author

Listed:
  • Urtizberea, Agurtzane
  • Dupont, Nicolas
  • Rosland, Rune
  • Aksnes, Dag L.

Abstract

In marine ecosystem models, the underwater light intensity is commonly characterized by the shading of phytoplankton in addition to a background light attenuation coefficient. Colour dissolved organic matter (CDOM) is an important component of the background light attenuation, and we investigate how variation in CDOM attenuation affects euphotic zone properties in a general marine ecosystem model. Our results suggest that euphotic zone properties are highly sensitive to CDOM variations occurring in nature. While the nutrient input to the euphotic zone scales the magnitude of the primary production, the vertical structure of nutrients and phytoplankton is largely determined by the variation in CDOM attenuation in our simulations. This suggests that knowledge of CDOM variation is useful to constrain uncertainties in predictions of water column structure in marine ecosystem modelling, but also in analyses utilizing the oceanic nutricline depth as proxy for primary production. Finally, according to our sensitivity analysis, many coastal areas experiencing high loads of terrestrial CDOM are expected to show eutrophication symptoms induced by altered optics.

Suggested Citation

  • Urtizberea, Agurtzane & Dupont, Nicolas & Rosland, Rune & Aksnes, Dag L., 2013. "Sensitivity of euphotic zone properties to CDOM variations in marine ecosystem models," Ecological Modelling, Elsevier, vol. 256(C), pages 16-22.
  • Handle: RePEc:eee:ecomod:v:256:y:2013:i:c:p:16-22
    DOI: 10.1016/j.ecolmodel.2013.02.010
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380013000926
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2013.02.010?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. Jef Huisman & Nga N. Pham Thi & David M. Karl & Ben Sommeijer, 2006. "Reduced mixing generates oscillations and chaos in the oceanic deep chlorophyll maximum," Nature, Nature, vol. 439(7074), pages 322-325, January.
    2. Daniel G. Boyce & Marlon R. Lewis & Boris Worm, 2010. "Global phytoplankton decline over the past century," Nature, Nature, vol. 466(7306), pages 591-596, July.
    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. Patara, Lavinia & Vichi, Marcello & Masina, Simona, 2012. "Impacts of natural and anthropogenic climate variations on North Pacific plankton in an Earth System Model," Ecological Modelling, Elsevier, vol. 244(C), pages 132-147.
    2. Shen, Anglu & Gao, Shufei & Heggerud, Christopher M. & Wang, Hao & Ma, Zengling & Yuan, Sanling, 2023. "Fluctuation of growth and photosynthetic characteristics in Prorocentrum shikokuense under phosphorus limitation: Evidence from field and laboratory," Ecological Modelling, Elsevier, vol. 479(C).
    3. Moreno Bevilacqua & Alfredo Alegria & Daira Velandia & Emilio Porcu, 2016. "Composite Likelihood Inference for Multivariate Gaussian Random Fields," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 21(3), pages 448-469, September.
    4. Malone, Thomas C. & DiGiacomo, Paul M. & Gonçalves, Emanuel & Knap, Anthony H. & Talaue-McManus, Liana & de Mora, Stephen, 2014. "A global ocean observing system framework for sustainable development," Marine Policy, Elsevier, vol. 43(C), pages 262-272.
    5. Bouderbala, Ilhem & El Saadi, Nadjia & Bah, Alassane & Auger, Pierre, 2019. "A simulation study on how the resource competition and anti-predator cooperation impact the motile-phytoplankton groups’ formation under predation stress," Ecological Modelling, Elsevier, vol. 391(C), pages 16-28.
    6. Tahmina Ajmal & Fazeel Mohammed & Martin S. Goodchild & Jipsy Sudarsanan & Sarah Halse, 2024. "Mitigating the Impact of Harmful Algal Blooms on Aquaculture Using Technological Interventions: Case Study on a South African Farm," Sustainability, MDPI, vol. 16(9), pages 1-15, April.
    7. J Timothy Wootton & Catherine A Pfister, 2012. "Carbon System Measurements and Potential Climatic Drivers at a Site of Rapidly Declining Ocean pH," PLOS ONE, Public Library of Science, vol. 7(12), pages 1-11, December.
    8. Fasma Diele & Carmela Marangi, 2019. "Geometric Numerical Integration in Ecological Modelling," Mathematics, MDPI, vol. 8(1), pages 1-30, December.
    9. Sudakov, Ivan & Vakulenko, Sergey A. & Bruun, John T., 2022. "Stochastic physics of species extinctions in a large population," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 585(C).
    10. Chin-Hsien Cheng & Simon A. T. Redfern, 2022. "Impact of interannual and multidecadal trends on methane-climate feedbacks and sensitivity," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    11. Mattei, F. & Buonocore, E. & Franzese, P.P. & Scardi, M., 2021. "Global assessment of marine phytoplankton primary production: Integrating machine learning and environmental accounting models," Ecological Modelling, Elsevier, vol. 451(C).
    12. Katherine A. Crichton & Jamie D. Wilson & Andy Ridgwell & Flavia Boscolo-Galazzo & Eleanor H. John & Bridget S. Wade & Paul N. Pearson, 2023. "What the geological past can tell us about the future of the ocean’s twilight zone," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    13. Chuanjun Dai & Hengguo Yu & Qing Guo & He Liu & Qi Wang & Zengling Ma & Min Zhao, 2019. "Dynamics Induced by Delay in a Nutrient-Phytoplankton Model with Multiple Delays," Complexity, Hindawi, vol. 2019, pages 1-16, February.
    14. Vitul Agarwal & Jonathan Chávez-Casillas & Keisuke Inomura & Colleen B. Mouw, 2024. "Patterns in the temporal complexity of global chlorophyll concentration," Nature Communications, Nature, vol. 15(1), pages 1-8, December.
    15. Afonso Ferreira & Carlos R. B. Mendes & Raul R. Costa & Vanda Brotas & Virginia M. Tavano & Catarina V. Guerreiro & Eduardo R. Secchi & Ana C. Brito, 2024. "Climate change is associated with higher phytoplankton biomass and longer blooms in the West Antarctic Peninsula," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    16. Serizawa, Hiroshi & Amemiya, Takashi & Itoh, Kiminori, 2010. "Effects of buoyancy, transparency and zooplankton feeding on surface maxima and deep maxima: Comprehensive mathematical model for vertical distribution in cyanobacterial biomass," Ecological Modelling, Elsevier, vol. 221(17), pages 2028-2037.
    17. Han, Yue & Zhou, Yuntao, 2022. "Investigating biophysical control of marine phytoplankton dynamics via Bayesian mechanistic modeling," Ecological Modelling, Elsevier, vol. 474(C).
    18. Yan Bai & Xianqiang He & Shujie Yu & Chen-Tung Arthur Chen, 2018. "Changes in the Ecological Environment of the Marginal Seas along the Eurasian Continent from 2003 to 2014," Sustainability, MDPI, vol. 10(3), pages 1-15, February.
    19. Patara, Lavinia & Vichi, Marcello & Masina, Simona, 2013. "Reprint of: “Impacts of natural and anthropogenic climate variations on North Pacific plankton in an Earth System Model”," Ecological Modelling, Elsevier, vol. 264(C), pages 48-63.
    20. Michael P. Totten, 2012. "GreenATP: APPortunities to catalyze local to global positive tipping points through collaborative innovation networks," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 1(1), pages 98-113, July.

    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:256:y:2013:i:c:p:16-22. 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.