IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v501y2025ics0304380025000122.html
   My bibliography  Save this article

Model perpetuation by designing and documenting models and workflows so that they can be reused and further developed by others: The case of multiple stressors in ecology

Author

Listed:
  • Meier, Laura
  • Grimm, Volker
  • Frank, Karin

Abstract

For model development and use, there are recommendations for documenting the model itself, the simulation experiments, or the whole modelling process in general, all of which contribute to good modelling practice (GMP). However, it remains a challenge to prepare models for their perpetuation, so that both the original developers and others can run them for new scenarios or develop the model further. As a result, despite the often considerable effort that goes into developing a model, it is not used any more as soon as the developers no longer have the resources to do so. We therefore present recommendations for Model Perpetuation, referred to as DOSE, which consists of four components: How to (1) Design, (2) Operationalize scenarios, (3) Simulate and (4) Evaluate. We focus on models that represent the effects and interactions of multiple stressors, as this type of model is becoming increasingly important in ecology and elsewhere. Our recommendations are based on the development of our mechanistic model of riverine ecosystems, MASTIFF. DOSE is intended as a checklist to facilitate Model Perpetuation and can therefore contribute to the development of a more comprehensive GMP. DOSE has the potential to increase the return on investment in model development. It can facilitate community model development, thereby broadening the scope of models and providing a much-needed stronger focus on multiple stressors. DOSE could be the first step towards a standardized approach to ensuring Model Perpetuation.

Suggested Citation

  • Meier, Laura & Grimm, Volker & Frank, Karin, 2025. "Model perpetuation by designing and documenting models and workflows so that they can be reused and further developed by others: The case of multiple stressors in ecology," Ecological Modelling, Elsevier, vol. 501(C).
  • Handle: RePEc:eee:ecomod:v:501:y:2025:i:c:s0304380025000122
    DOI: 10.1016/j.ecolmodel.2025.111029
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380025000122
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2025.111029?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. Volker Grimm & Steven F. Railsback & Christian E. Vincenot & Uta Berger & Cara Gallagher & Donald L. DeAngelis & Bruce Edmonds & Jiaqi Ge & Jarl Giske & Jürgen Groeneveld & Alice S.A. Johnston & Alex, 2020. "The ODD Protocol for Describing Agent-Based and Other Simulation Models: A Second Update to Improve Clarity, Replication, and Structural Realism," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 23(2), pages 1-7.
    2. Meier, Laura & Brauns, Mario & Grimm, Volker & Weitere, Markus & Frank, Karin, 2022. "MASTIFF: A mechanistic model for cross-scale analyses of the functioning of multiple stressed riverine ecosystems," Ecological Modelling, Elsevier, vol. 470(C).
    3. Grimm, Volker & Berger, Uta & DeAngelis, Donald L. & Polhill, J. Gary & Giske, Jarl & Railsback, Steven F., 2010. "The ODD protocol: A review and first update," Ecological Modelling, Elsevier, vol. 221(23), pages 2760-2768.
    4. Martin, Adrian P. & Dominguez, Angela Bahamondes & Baker, Chelsey A. & Baumas, Chloé M.J. & Bisson, Kelsey M. & Cavan, Emma & Freilich, Mara & Galbraith, Eric & Galí, Martí & Henson, Stephanie & Kvale, 2024. "When to add a new process to a model – and when not: A marine biogeochemical perspective," Ecological Modelling, Elsevier, vol. 498(C).
    5. Dagmar Waltemath & Richard Adams & Daniel A Beard & Frank T Bergmann & Upinder S Bhalla & Randall Britten & Vijayalakshmi Chelliah & Michael T Cooling & Jonathan Cooper & Edmund J Crampin & Alan Garny, 2011. "Minimum Information About a Simulation Experiment (MIASE)," PLOS Computational Biology, Public Library of Science, vol. 7(4), pages 1-4, April.
    6. Planque, Benjamin & Aarflot, Johanna M. & Buttay, Lucie & Carroll, JoLynn & Fransner, Filippa & Hansen, Cecilie & Husson, Bérengère & Langangen, Øystein & Lindstrøm, Ulf & Pedersen, Torstein & Primice, 2022. "A standard protocol for describing the evaluation of ecological models," Ecological Modelling, Elsevier, vol. 471(C).
    7. C. Michael Barton & Allen Lee & Marco A. Janssen & Sander van der Leeuw & Gregory E. Tucker & Cheryl Porter & Joshua Greenberg & Laura Swantek & Karin Frank & Min Chen & H. R. Albert Jagers, 2022. "Opinion: How to make models more useful," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 119(35), pages 2202112119-, September.
    8. 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.
    9. Lemmen, Carsten & Sommer, Philipp Sebastian, 2024. "Good modelling software practices," Ecological Modelling, Elsevier, vol. 498(C).
    10. C. Michael Barton & Allen Lee & Marco A. Janssen & Sander van der Leeuw & Gregory E. Tucker & Cheryl Porter & Joshua Greenberg & Laura Swantek & Karin Frank & Min Chen & H. R. Albert Jagers, 2022. "Opinion: How to make models more useful," Decision Analysis, INFORMS, vol. 119(35), pages 2202112119-, September.
    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. Micheletti, Tatiane & Wimmler, Marie-Christin & Berger, Uta & Grimm, Volker & McIntire, Eliot J., 2024. "Beyond guides, protocols and acronyms: Adoption of good modelling practices depends on challenging academia's status quo in ecology," Ecological Modelling, Elsevier, vol. 496(C).
    2. 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).
    3. Grimm, Volker & Berger, Uta & Calabrese, Justin M. & Cortés-Avizanda, Ainara & Ferrer, Jordi & Franz, Mathias & Groeneveld, Jürgen & Hartig, Florian & Jakoby, Oliver & Jovani, Roger & Kramer-Schadt, S, 2025. "Using the ODD protocol and NetLogo to replicate agent-based models," Ecological Modelling, Elsevier, vol. 501(C).
    4. Crouse, Kristin N. & Desai, Nisarg P. & Cassidy, Kira A. & Stahler, Erin E. & Lehman, Clarence L. & Wilson, Michael L., 2022. "Larger territories reduce mortality risk for chimpanzees, wolves, and agents: Multiple lines of evidence in a model validation framework," Ecological Modelling, Elsevier, vol. 471(C).
    5. Troost, Christian & Huber, Robert & Bell, Andrew R. & van Delden, Hedwig & Filatova, Tatiana & Le, Quang Bao & Lippe, Melvin & Niamir, Leila & Polhill, J. Gareth & Sun, Zhanli & Berger, Thomas, 2023. "How to keep it adequate: A protocol for ensuring validity in agent-based simulation," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 159, pages 1-21.
    6. Chudzinska, Magda & Nabe-Nielsen, Jacob & Smout, Sophie & Aarts, Geert & Brasseur, Sophie & Graham, Isla & Thompson, Paul & McConnell, Bernie, 2021. "AgentSeal: Agent-based model describing movement of marine central-place foragers," Ecological Modelling, Elsevier, vol. 440(C).
    7. An, Li & Grimm, Volker & Sullivan, Abigail & Turner II, B.L. & Malleson, Nicolas & Heppenstall, Alison & Vincenot, Christian & Robinson, Derek & Ye, Xinyue & Liu, Jianguo & Lindkvist, Emilie & Tang, W, 2021. "Challenges, tasks, and opportunities in modeling agent-based complex systems," Ecological Modelling, Elsevier, vol. 457(C).
    8. Lapp, Maya & Long, Colby, 2022. "A new approach to agent-based models of Community Resource Management based on the analysis of cheating, monitoring, and sanctioning," Ecological Modelling, Elsevier, vol. 468(C).
    9. Planque, Benjamin & Aarflot, Johanna M. & Buttay, Lucie & Carroll, JoLynn & Fransner, Filippa & Hansen, Cecilie & Husson, Bérengère & Langangen, Øystein & Lindstrøm, Ulf & Pedersen, Torstein & Primice, 2022. "A standard protocol for describing the evaluation of ecological models," Ecological Modelling, Elsevier, vol. 471(C).
    10. Bialozyt, Ronald B. & Roß-Nickoll, Martina & Ottermanns, Richard & Jetzkowitz, Jens, 2025. "The different ways to operationalise the social in applied models and simulations of sustainability science: A contribution for the enhancement of good modelling practices," Ecological Modelling, Elsevier, vol. 500(C).
    11. Lemmen, Carsten & Sommer, Philipp Sebastian, 2024. "Good modelling software practices," Ecological Modelling, Elsevier, vol. 498(C).
    12. Tardy, Olivia & Lenglos, Christophe & Lai, Sandra & Berteaux, Dominique & Leighton, Patrick A., 2023. "Rabies transmission in the Arctic: An agent-based model reveals the effects of broad-scale movement strategies on contact risk between Arctic foxes," Ecological Modelling, Elsevier, vol. 476(C).
    13. Jascha-Alexander Koch & Jens Lausen & Moritz Kohlhase, 2021. "Internalizing the externalities of overfunding: an agent-based model approach for analyzing the market dynamics on crowdfunding platforms," Journal of Business Economics, Springer, vol. 91(9), pages 1387-1430, November.
    14. Crevier, Lucas Phillip & Salkeld, Joseph H & Marley, Jessa & Parrott, Lael, 2021. "Making the best possible choice: Using agent-based modelling to inform wildlife management in small communities," Ecological Modelling, Elsevier, vol. 446(C).
    15. 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.
    16. Dur, Gaël & Won, Eun-Ji & Han, Jeonghoon & Lee, Jae-Seong & Souissi, Sami, 2021. "An individual-based model for evaluating post-exposure effects of UV-B radiation on zooplankton reproduction," Ecological Modelling, Elsevier, vol. 441(C).
    17. Medeiros-Sousa, Antônio Ralph & Lange, Martin & Mucci, Luis Filipe & Marrelli, Mauro Toledo & Grimm, Volker, 2024. "Modelling the transmission and spread of yellow fever in forest landscapes with different spatial configurations," Ecological Modelling, Elsevier, vol. 489(C).
    18. 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.
    19. Anshuka Anshuka & Floris F. Ogtrop & David Sanderson & Simone Z. Leao, 2022. "A systematic review of agent-based model for flood risk management and assessment using the ODD protocol," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 112(3), pages 2739-2771, July.
    20. Kjær, Lene J. & Schauber, Eric M., 2022. "The effect of landscape, transmission mode and social behavior on disease transmission: Simulating the transmission of chronic wasting disease in white-tailed deer (Odocoileus virginianus) populations," Ecological Modelling, Elsevier, vol. 472(C).

    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:501:y:2025:i:c:s0304380025000122. 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.