IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v317y2015icp50-63.html
   My bibliography  Save this article

Exposure factors for marine eutrophication impacts assessment based on a mechanistic biological model

Author

Listed:
  • Cosme, Nuno
  • Koski, Marja
  • Hauschild, Michael Z.

Abstract

Emissions of nitrogen (N) from anthropogenic sources enrich marine waters and promote planktonic growth. This newly synthesised organic carbon is eventually exported to benthic waters where aerobic respiration by heterotrophic bacteria results in the consumption of dissolved oxygen (DO). This pathway is typical of marine eutrophication. A model is proposed to mechanistically estimate the response of coastal marine ecosystems to N inputs. It addresses the biological processes of nutrient-limited primary production (PP), metazoan consumption, and bacterial degradation, in four distinct sinking routes from primary (cell aggregates) and secondary producers (faecal pellets, carcasses, and active vertical transport). Carbon export production (PE) and ecosystems eXposure Factors (XF), which represents a nitrogen-to-oxygen ‘conversion’ potential, were estimated at a spatial resolution of 66 large marine ecosystem (LME), five climate zones, and site-generic. The XFs obtained range from 0.45 (Central Arctic Ocean) to 15.9kgO2kgN−1 (Baltic Sea). While LME resolution is recommended, aggregated PE or XF per climate zone can be adopted, but not global aggregation due to high variability. The XF is essential to estimate a marine eutrophication impacts indicator in Life Cycle Impact Assessment (LCIA) of anthropogenic-N emissions. Every relevant process was modelled and the uncertainty of the driving parameters considered low suggesting valid applicability in characterisation modelling in LCIA.

Suggested Citation

  • Cosme, Nuno & Koski, Marja & Hauschild, Michael Z., 2015. "Exposure factors for marine eutrophication impacts assessment based on a mechanistic biological model," Ecological Modelling, Elsevier, vol. 317(C), pages 50-63.
    • Handle: RePEc:eee:ecomod:v:317:y:2015:i:c:p:50-63
    DOI: 10.1016/j.ecolmodel.2015.09.005
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380015004123
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2015.09.005?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. Strandesen, M. & Birkved, M. & Holm, P.E. & Hauschild, M.Z., 2007. "Fate and distribution modelling of metals in life cycle impact assessment," Ecological Modelling, Elsevier, vol. 203(3), pages 327-338.
    2. Kevin R. Arrigo, 2005. "Marine microorganisms and global nutrient cycles," Nature, Nature, vol. 437(7057), pages 349-355, September.
    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. Ertürk, Ali & Sakurova, Ilona & Zilius, Mindaugas & Zemlys, Petras & Umgiesser, Georg & Kaynaroglu, Burak & Pilkaitytė, Renata & Razinkovas-Baziukas, Artūras, 2023. "Development of a pelagic biogeochemical model with enhanced computational performance by optimizing ecological complexity and spatial resolution," Ecological Modelling, Elsevier, vol. 486(C).
    2. Daniel Koch & Anton Friedl & Bettina Mihalyi, 2023. "Influence of different LCIA methods on an exemplary scenario analysis from a process development LCA case study," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 6269-6293, July.
    3. Francesca Verones & Stefanie Hellweg & Assumpció Antón & Ligia B. Azevedo & Abhishek Chaudhary & Nuno Cosme & Stefano Cucurachi & Laura de Baan & Yan Dong & Peter Fantke & Laura Golsteijn & Michael Ha, 2020. "LC‐IMPACT: A regionalized life cycle damage assessment method," Journal of Industrial Ecology, Yale University, vol. 24(6), pages 1201-1219, December.

    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. Auguères, Anne-Sophie & Loreau, Michel, 2016. "Biotic regulation of non-limiting nutrient pools and coupling of biogeochemical cycles," Ecological Modelling, Elsevier, vol. 334(C), pages 1-7.
    2. Thomas J. Browning & C. Mark Moore, 2023. "Global analysis of ocean phytoplankton nutrient limitation reveals high prevalence of co-limitation," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    3. Nam Seon Kang & Kichul Cho & Sung Min An & Eun Song Kim & Hyunji Ki & Chung Hyeon Lee & Grace Choi & Ji Won Hong, 2022. "Taxonomic and Biochemical Characterization of Microalga Graesiella emersonii GEGS21 for Its Potential to Become Feedstock for Biofuels and Bioproducts," Energies, MDPI, vol. 15(22), pages 1-24, November.
    4. Beckmann, Aike & Hense, Inga, 2017. "The impact of primary and export production on the formation of the secondary nitrite maximum: A model study," Ecological Modelling, Elsevier, vol. 359(C), pages 25-33.
    5. Tsakalakis, Ioannis & Pahlow, Markus & Oschlies, Andreas & Blasius, Bernd & Ryabov, Alexey B., 2018. "Diel light cycle as a key factor for modelling phytoplankton biogeography and diversity," Ecological Modelling, Elsevier, vol. 384(C), pages 241-248.
    6. Richards, Russell & Chaloupka, Milani & Sanò, Marcello & Tomlinson, Rodger, 2011. "Modelling the effects of ‘coastal’ acidification on copper speciation," Ecological Modelling, Elsevier, vol. 222(19), pages 3559-3567.
    7. Ari J S Ferreira & Rania Siam & João C Setubal & Ahmed Moustafa & Ahmed Sayed & Felipe S Chambergo & Adam S Dawe & Mohamed A Ghazy & Hazem Sharaf & Amged Ouf & Intikhab Alam & Alyaa M Abdel-Haleem & H, 2014. "Core Microbial Functional Activities in Ocean Environments Revealed by Global Metagenomic Profiling Analyses," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-11, June.
    8. Toby Kenney & Hong Gu & Tianshu Huang, 2021. "Poisson PCA: Poisson measurement error corrected PCA, with application to microbiome data," Biometrics, The International Biometric Society, vol. 77(4), pages 1369-1384, December.
    9. Gera, Anitha & Gayathri, R & Ezhilarasan, P & Ranga Rao, V & Ramana Murthy, M V, 2023. "Coupled physical-biogeochemical simulations of upwelling, ecological response to fresh water," Ecological Modelling, Elsevier, vol. 476(C).
    10. Armstrong, Claire W. & Foley, Naomi S. & Tinch, Rob & van den Hove, Sybille, 2012. "Services from the deep: Steps towards valuation of deep sea goods and services," Ecosystem Services, Elsevier, vol. 2(C), pages 2-13.

    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:317:y:2015:i:c:p:50-63. 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.