IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v431y2020ics0304380020302556.html
   My bibliography  Save this article

CAMPUS-S – The model of ground layer vegetation populations in forest ecosystems and their contribution to the dynamics of carbon and nitrogen. I. Problem formulation and description of the model

Author

Listed:
  • Frolov, Pavel
  • Shanin, Vladimir
  • Zubkova, Elena
  • Bykhovets, Sergey
  • Grabarnik, Pavel

Abstract

The CAMPUS-S model was developed to simulate ground-layer vegetation populations in forest ecosystems and their contribution to carbon and nitrogen dynamics. The model uses several modeling techniques: matrix, l-systems and cellular automata modeling. The genetic species-specific features are defined for each ontogenetic stage (L-systems), while their implementation for certain individuals in the course of modeling depends on external conditions (cellular automata). To implement the variance of the transitions between ontogenetic stages, the matrix modeling method is used. The spatial resolution of the model is 1 cm2 and the time step is one month. The model consists of two submodels: a submodel of the plant populations’ structure, and a submodel of carbon and nitrogen dynamics in plants and soil. The space in the CAMPUS-S model is heterogeneous. The map of the microrelief is dynamically loaded from an external source, according to which the temperature and the moisture of the soil are distributed across space during the simulation. To implement the feedback mechanism between plants and soil, integration with the Romul_Hum model is performed.

Suggested Citation

  • Frolov, Pavel & Shanin, Vladimir & Zubkova, Elena & Bykhovets, Sergey & Grabarnik, Pavel, 2020. "CAMPUS-S – The model of ground layer vegetation populations in forest ecosystems and their contribution to the dynamics of carbon and nitrogen. I. Problem formulation and description of the model," Ecological Modelling, Elsevier, vol. 431(C).
  • Handle: RePEc:eee:ecomod:v:431:y:2020:i:c:s0304380020302556
    DOI: 10.1016/j.ecolmodel.2020.109184
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380020302556
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2020.109184?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. Seidl, Rupert & Rammer, Werner & Scheller, Robert M. & Spies, Thomas A., 2012. "An individual-based process model to simulate landscape-scale forest ecosystem dynamics," Ecological Modelling, Elsevier, vol. 231(C), pages 87-100.
    2. Chertov, Oleg & Komarov, Alexander & Shaw, Cindy & Bykhovets, Sergey & Frolov, Pavel & Shanin, Vladimir & Grabarnik, Pavel & Priputina, Irina & Zubkova, Elena & Shashkov, Maxim, 2017. "Romul_Hum—A model of soil organic matter formation coupling with soil biota activity. II. Parameterisation of the soil food web biota activity," Ecological Modelling, Elsevier, vol. 345(C), pages 125-139.
    3. Logofet, Dmitrii O., 2019. "Bilberry vs. cowberry in a scots pine boreal forest. II. Alternate modes of prediction," Ecological Modelling, Elsevier, vol. 405(C), pages 43-50.
    4. Logofet, Dmitrii O. & Maslov, Alexander A., 2019. "Bilberry vs. cowberry in a Scots pine boreal forest: Exclusion or coexistence in a post-fire succession?," Ecological Modelling, Elsevier, vol. 401(C), pages 134-143.
    5. Frolov, Pavel & Zubkova, Elena & Shanin, Vladimir & Bykhovets, Sergey & Mäkipää, Raisa & Salemaa, Maija, 2020. "CAMPUS-S – The model of ground layer vegetation populations in forest ecosystems and their contribution to the dynamics of carbon and nitrogen. II. Parameterization, validation and simulation experime," Ecological Modelling, Elsevier, vol. 431(C).
    6. Mony, C. & Garbey, M. & Smaoui, M. & Benot, M.-L., 2011. "Large scale parameter study of an individual-based model of clonal plant with volunteer computing," Ecological Modelling, Elsevier, vol. 222(4), pages 935-946.
    7. Chertov, Oleg & Shaw, Cindy & Shashkov, Maxim & Komarov, Alexander & Bykhovets, Sergey & Shanin, Vladimir & Grabarnik, Pavel & Frolov, Pavel & Kalinina, Olga & Priputina, Irina & Zubkova, Elena, 2017. "Romul_Hum model of soil organic matter formation coupled with soil biota activity. III. Parameterisation of earthworm activity," Ecological Modelling, Elsevier, vol. 345(C), pages 140-149.
    8. Tomlinson, Kyle W. & Dominy, James G. & Hearne, John W. & O’Connor, Timothy G., 2007. "A functional-structural model for growth of clonal bunchgrasses," Ecological Modelling, Elsevier, vol. 202(3), pages 243-264.
    9. Komarov, Alexander & Chertov, Oleg & Bykhovets, Sergey & Shaw, Cindy & Nadporozhskaya, Marina & Frolov, Pavel & Shashkov, Maxim & Shanin, Vladimir & Grabarnik, Pavel & Priputina, Irina & Zubkova, Elen, 2017. "Romul_Hum model of soil organic matter formation coupled with soil biota activity. I. Problem formulation, model description, and testing," Ecological Modelling, Elsevier, vol. 345(C), pages 113-124.
    10. Stange, Claus Florian, 2007. "A novel approach to combine response functions in ecological process modelling," Ecological Modelling, Elsevier, vol. 204(3), pages 547-552.
    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. Frolov, Pavel & Zubkova, Elena & Shanin, Vladimir & Bykhovets, Sergey & Mäkipää, Raisa & Salemaa, Maija, 2020. "CAMPUS-S – The model of ground layer vegetation populations in forest ecosystems and their contribution to the dynamics of carbon and nitrogen. II. Parameterization, validation and simulation experime," Ecological Modelling, Elsevier, vol. 431(C).
    2. Oborny, B. & Mony, C. & Herben, T., 2012. "From virtual plants to real communities: A review of modelling clonal growth," Ecological Modelling, Elsevier, vol. 234(C), pages 3-19.
    3. Logofet, Dmitrii O., 2019. "Bilberry vs. cowberry in a scots pine boreal forest. II. Alternate modes of prediction," Ecological Modelling, Elsevier, vol. 405(C), pages 43-50.
    4. Luo, Xu & He, Hong S. & Liang, Yu & Wu, Zhiwei, 2015. "Evaluating simulated effects of succession, fire, and harvest for LANDIS PRO forest landscape model," Ecological Modelling, Elsevier, vol. 297(C), pages 1-10.
    5. Logofet, Dmitrii O. & Maslov, Alexander A., 2023. "Markov chain retrospective analysis or how to detect a position of the monitoring period in the course of postfire succession," Ecological Modelling, Elsevier, vol. 484(C).
    6. Bohn, Friedrich J. & Frank, Karin & Huth, Andreas, 2014. "Of climate and its resulting tree growth: Simulating the productivity of temperate forests," Ecological Modelling, Elsevier, vol. 278(C), pages 9-17.
    7. Petter, Gunnar & Kreft, Holger & Ong, Yongzhi & Zotz, Gerhard & Cabral, Juliano Sarmento, 2021. "Modelling the long-term dynamics of tropical forests: From leaf traits to whole-tree growth patterns," Ecological Modelling, Elsevier, vol. 460(C).
    8. Lucash, Melissa S. & Marshall, Adrienne M. & Weiss, Shelby A. & McNabb, John W. & Nicolsky, Dmitry J. & Flerchinger, Gerald N. & Link, Timothy E. & Vogel, Jason G. & Scheller, Robert M. & Abramoff, Ro, 2023. "Burning trees in frozen soil: Simulating fire, vegetation, soil, and hydrology in the boreal forests of Alaska," Ecological Modelling, Elsevier, vol. 481(C).
    9. Oborny, Beáta & Englert, Péter, 2012. "Plant growth and foraging for a patchy resource: A credit model," Ecological Modelling, Elsevier, vol. 234(C), pages 20-30.
    10. Fitts, Lucia A. & Fraser, Jacob S. & Miranda, Brian R. & Domke, Grant M. & Russell, Matthew B. & Sturtevant, Brian R., 2023. "An iterative site-scale approach to calibrate and corroborate successional processes within a forest landscape model," Ecological Modelling, Elsevier, vol. 477(C).
    11. Forrester, David I., 2014. "A stand-level light interception model for horizontally and vertically heterogeneous canopies," Ecological Modelling, Elsevier, vol. 276(C), pages 14-22.
    12. Peringer, Alexander & Buttler, Alexandre & Gillet, François & Pătru-Stupariu, Ileana & Schulze, Kiowa A. & Stupariu, Mihai-Sorin & Rosenthal, Gert, 2017. "Disturbance-grazer-vegetation interactions maintain habitat diversity in mountain pasture-woodlands," Ecological Modelling, Elsevier, vol. 359(C), pages 301-310.
    13. Herben, Tomáš & Wildová, Radka, 2012. "Community-level effects of plant traits in a grassland community examined by multispecies model of clonal plant growth," Ecological Modelling, Elsevier, vol. 234(C), pages 60-69.
    14. Collalti, Alessio & Perugini, Lucia & Santini, Monia & Chiti, Tommaso & Nolè, Angelo & Matteucci, Giorgio & Valentini, Riccardo, 2014. "A process-based model to simulate growth in forests with complex structure: Evaluation and use of 3D-CMCC Forest Ecosystem Model in a deciduous forest in Central Italy," Ecological Modelling, Elsevier, vol. 272(C), pages 362-378.
    15. Larocque, Guy R. & Bhatti, Jagtar & Arsenault, André, 2014. "Integrated modelling software platform development for effective use of ecosystem models," Ecological Modelling, Elsevier, vol. 288(C), pages 195-202.
    16. Kruse, Stefan & Wieczorek, Mareike & Jeltsch, Florian & Herzschuh, Ulrike, 2016. "Treeline dynamics in Siberia under changing climates as inferred from an individual-based model for Larix," Ecological Modelling, Elsevier, vol. 338(C), pages 101-121.
    17. Emmett, Kristen D. & Renwick, Katherine M. & Poulter, Benjamin, 2021. "Adapting a dynamic vegetation model for regional biomass, plant biogeography, and fire modeling in the Greater Yellowstone Ecosystem: Evaluating LPJ-GUESS-LMfireCF," Ecological Modelling, Elsevier, vol. 440(C).
    18. Sujii, Patricia S. & Nagai, Micael E. & Zucchi, Maria I. & Brancalion, Pedro H.S. & James, Patrick M.A., 2019. "A genetic approach for simulating persistence of reintroduced tree species populations in restored forests," Ecological Modelling, Elsevier, vol. 403(C), pages 35-43.
    19. Soussana, Jean-François & Maire, Vincent & Gross, Nicolas & Bachelet, Bruno & Pagès, Loic & Martin, Raphaël & Hill, David & Wirth, Christian, 2012. "Gemini: A grassland model simulating the role of plant traits for community dynamics and ecosystem functioning. Parameterization and evaluation," Ecological Modelling, Elsevier, vol. 231(C), pages 134-145.
    20. Hamidi, A. El & Garbey, M. & Ali, N., 2012. "A PDE model of clonal plant competition with nonlinear diffusion," Ecological Modelling, Elsevier, vol. 234(C), pages 83-92.

    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:431:y:2020:i:c:s0304380020302556. 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.