IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v345y2017icp113-124.html
   My bibliography  Save this article

Romul_Hum model of soil organic matter formation coupled with soil biota activity. I. Problem formulation, model description, and testing

Author

Listed:
  • Komarov, Alexander
  • Chertov, Oleg
  • Bykhovets, Sergey
  • Shaw, Cindy
  • Nadporozhskaya, Marina
  • Frolov, Pavel
  • Shashkov, Maxim
  • Shanin, Vladimir
  • Grabarnik, Pavel
  • Priputina, Irina
  • Zubkova, Elena

Abstract

For many decades in the late 20th century, the processes involved in the formation of soil organic matter (SOM) (also known as humification) constituted one of the most important areas of scientific inquiry in soil science. However, these processes have not been included in modern models of SOM dynamics, despite their relevance to quantifying carbon stabilisation (i.e., sequestration) in soil. Furthermore, modern models have focussed on mineralisation processes (e.g., mainly microbial heterotrophic respiration) and have not included the important effects of soil fauna that are known as key agents of SOM formation. To address these issues, we developed a modelling approach predicated on the existence of definable stoichiometric relations among the processes leading to SOM formation that are mediated by soil biota (e.g., correlations among biotic respiration, production of faunal excrement, and necromass as sources of SOM formation). Soil respiration, a core rate variable in all SOM models, was associated with the production of faunal by-products in soil food webs as precursors of stable SOM, specifically micro- and meso-faunal excrement, necromass, and earthworm casts. We developed a food-web based module, using a synthesis of decades of published data, to describe micro- and meso-faunal excrement and necromass production. We developed a separate module for anecic earthworms, with explicit representation of processes related to fresh casts. The contributions of these two modules were compiled and integrated with the ROMUL model of SOM dynamics, without changing the structure of the original model. These modules enabled calculation of the proportional contribution of faunal by-products to humification (i.e., recalcitrant SOM formation) and carbon sequestration. Testing of the new version of the model, known as Romul_Hum, showed consistent accumulation of faunal by-products in the “final” SOM fractions: the well-decomposed SOM of the organic soil horizons and the stable SOM of the mineral soil.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:ecomod:v:345:y:2017:i:c:p:113-124
    DOI: 10.1016/j.ecolmodel.2016.08.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380016303088
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2016.08.007?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. Michael W. I. Schmidt & Margaret S. Torn & Samuel Abiven & Thorsten Dittmar & Georg Guggenberger & Ivan A. Janssens & Markus Kleber & Ingrid Kögel-Knabner & Johannes Lehmann & David A. C. Manning & Pa, 2011. "Persistence of soil organic matter as an ecosystem property," Nature, Nature, vol. 478(7367), pages 49-56, October.
    2. Grimm, Volker & Augusiak, Jacqueline & Focks, Andreas & Frank, Béatrice M. & Gabsi, Faten & Johnston, Alice S.A. & Liu, Chun & Martin, Benjamin T. & Meli, Mattia & Radchuk, Viktoriia & Thorbek, Pernil, 2014. "Towards better modelling and decision support: Documenting model development, testing, and analysis using TRACE," Ecological Modelling, Elsevier, vol. 280(C), pages 129-139.
    3. Huang, Ching-Yu & Hendrix, Paul F. & Fahey, Timothy J. & Bohlen, Patrick J. & Groffman, Peter M., 2010. "A simulation model to evaluate the impacts of invasive earthworms on soil carbon dynamics," Ecological Modelling, Elsevier, vol. 221(20), pages 2447-2457.
    4. Shaw, C.H. & Hilger, A.B. & Metsaranta, J. & Kurz, W.A. & Russo, G. & Eichel, F. & Stinson, G. & Smyth, C. & Filiatrault, M., 2014. "Evaluation of simulated estimates of forest ecosystem carbon stocks using ground plot data from Canada's National Forest Inventory," Ecological Modelling, Elsevier, vol. 272(C), pages 323-347.
    5. Shanin, Vladimir N. & Komarov, Alexander S. & Mikhailov, Alexey V. & Bykhovets, Sergei S., 2011. "Modelling carbon and nitrogen dynamics in forest ecosystems of Central Russia under different climate change scenarios and forest management regimes," Ecological Modelling, Elsevier, vol. 222(14), pages 2262-2275.
    6. Braakhekke, Maarten C. & Beer, Christian & Hoosbeek, Marcel R. & Reichstein, Markus & Kruijt, Bart & Schrumpf, Marion & Kabat, Pavel, 2011. "SOMPROF: A vertically explicit soil organic matter model," Ecological Modelling, Elsevier, vol. 222(10), pages 1712-1730.
    7. Elser, James J. & Loladze, Irakli & Peace, Angela L. & Kuang, Yang, 2012. "Lotka re-loaded: Modeling trophic interactions under stoichiometric constraints," Ecological Modelling, Elsevier, vol. 245(C), pages 3-11.
    8. Kuka, K. & Franko, U. & Rühlmann, J., 2007. "Modelling the impact of pore space distribution on carbon turnover," Ecological Modelling, Elsevier, vol. 208(2), pages 295-306.
    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. 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. 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).

    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. 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.
    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. Akinpelu, O.A. & Olaleye, O. & Fagbola, O., 2023. "The Soil Organic Matter Decomposers: A Bibliometric Analysis," International Journal of Agriculture and Environmental Research, Malwa International Journals Publication, vol. 9(4), August.
    4. Lorscheid, Iris & Meyer, Matthias, 2016. "Divide and conquer: Configuring submodels for valid and efficient analyses of complex simulation models," Ecological Modelling, Elsevier, vol. 326(C), pages 152-161.
    5. Shamal Shasang Kumar & Owais Ali Wani & Binesh Prasad & Amena Banuve & Penaia Mua & Ami Chand Sharma & Shalendra Prasad & Abdul Raouf Malik & Salah El-Hendawy & Mohamed A. Mattar, 2024. "Effects of Mulching on Soil Properties and Yam Production in Tropical Region," Sustainability, MDPI, vol. 16(17), pages 1-25, September.
    6. Bartsev, Sergey I. & Pochekutov, Aleksei A., 2016. "The vertical distribution of soil organic matter predicted by a simple continuous model of soil organic matter transformations," Ecological Modelling, Elsevier, vol. 328(C), pages 95-98.
    7. Watson, Joseph W & Boyd, Robin & Dutta, Ritabrata & Vasdekis, Georgios & Walker, Nicola D. & Roy, Shovonlal & Everitt, Richard & Hyder, Kieran & Sibly, Richard M, 2022. "Incorporating environmental variability in a spatially-explicit individual-based model of European sea bass✰," Ecological Modelling, Elsevier, vol. 466(C).
    8. Grimm, Volker & Berger, Uta, 2016. "Structural realism, emergence, and predictions in next-generation ecological modelling: Synthesis from a special issue," Ecological Modelling, Elsevier, vol. 326(C), pages 177-187.
    9. Kristof Dorau & Chris Bamminger & Daniel Koch & Tim Mansfeldt, 2022. "Evidences of soil warming from long-term trends (1951–2018) in North Rhine-Westphalia, Germany," Climatic Change, Springer, vol. 170(1), pages 1-13, January.
    10. Boult, Victoria L. & Quaife, Tristan & Fishlock, Vicki & Moss, Cynthia J. & Lee, Phyllis C. & Sibly, Richard M., 2018. "Individual-based modelling of elephant population dynamics using remote sensing to estimate food availability," Ecological Modelling, Elsevier, vol. 387(C), pages 187-195.
    11. Walker, Nicola D. & Boyd, Robin & Watson, Joseph & Kotz, Max & Radford, Zachary & Readdy, Lisa & Sibly, Richard & Roy, Shovonlal & Hyder, Kieran, 2020. "A spatially explicit individual-based model to support management of commercial and recreational fisheries for European sea bass Dicentrarchus labrax," Ecological Modelling, Elsevier, vol. 431(C).
    12. Bernardo Alves Furtado, 2022. "PolicySpace2: Modeling Markets and Endogenous Public Policies," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 25(1), pages 1-8.
    13. Guoai Li & Xuxu Chai & Zheng Shi & Honghua Ruan, 2023. "Interactive Effects Determine Radiocarbon Abundance in Soil Fractions of Global Biomes," Land, MDPI, vol. 12(5), pages 1-17, May.
    14. Jette Reeg & Simon Heine & Christine Mihan & Sean McGee & Thomas G Preuss & Florian Jeltsch, 2020. "Herbicide risk assessments of non-target terrestrial plant communities: A graphical user interface for the plant community model IBC-grass," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-18, March.
    15. Garcia, Clement & Stillman, Richard A. & Forster, Rodney M. & Silva, Tiago & Bremner, Julie, 2016. "Nuclear power and coastal birds: Predicting the ecological consequences of warm-water outflows," Ecological Modelling, Elsevier, vol. 342(C), pages 60-81.
    16. Isabel Teichmann, 2015. "An Economic Assessment of Soil Carbon Sequestration with Biochar in Germany," Discussion Papers of DIW Berlin 1476, DIW Berlin, German Institute for Economic Research.
    17. Ayllón, Daniel & Railsback, Steven F. & Vincenzi, Simone & Groeneveld, Jürgen & Almodóvar, Ana & Grimm, Volker, 2016. "InSTREAM-Gen: Modelling eco-evolutionary dynamics of trout populations under anthropogenic environmental change," Ecological Modelling, Elsevier, vol. 326(C), pages 36-53.
    18. Shaw, C.H. & Hilger, A.B. & Metsaranta, J. & Kurz, W.A. & Russo, G. & Eichel, F. & Stinson, G. & Smyth, C. & Filiatrault, M., 2014. "Evaluation of simulated estimates of forest ecosystem carbon stocks using ground plot data from Canada's National Forest Inventory," Ecological Modelling, Elsevier, vol. 272(C), pages 323-347.
    19. Miriam Githongo & Lucy Ngatia & Milka Kiboi & Anne Muriuki & Andreas Fliessbach & Collins Musafiri & Riqiang Fu & Felix Ngetich, 2023. "The Structural Quality of Soil Organic Matter under Selected Soil Fertility Management Practices in the Central Highlands of Kenya," Sustainability, MDPI, vol. 15(8), pages 1-13, April.
    20. Miquelajauregui, Yosune & Cumming, Steven G. & Gauthier, Sylvie, 2019. "Short-term responses of boreal carbon stocks to climate change: A simulation study of black spruce forests," Ecological Modelling, Elsevier, vol. 409(C), pages 1-1.

    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:345:y:2017:i:c:p:113-124. 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.