IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v298y2015icp4-15.html
   My bibliography  Save this article

What we see now: Event-persistence and the predictability of hydro-eco-geomorphological systems

Author

Listed:
  • Beven, Keith

Abstract

What we see now in the landscape is the result of a long history of events with varying degrees of persistence. We have only limited access to much of that history and we know that many current events have only a minimal impact on what we see. Even rather extreme events may have impacts that are not very long-lasting but can have the effect of changing the antecedent states for future events. That means that sampling of sequences of events might be important in understanding the evolution of the catchments. In some cases, however, extreme events can have an impact on the system that persists over hundreds or thousands of years. Any evolution of the landscape is then constrained by those past events, however much it might be also constrained by self-organisational principles. It might be difficult to verify those principles given the epistemic uncertainties about past histories and system properties that are generic to the studies that are possible within a research project or career. These arguments are investigated in a simple slab model of landslip failures in a hillslope hollow subject to stochastic forcing over long periods of time. The complementarity of an event-persistence approach to hydro-eco-geomorphological systems is captured in suggestions for future research questions.

Suggested Citation

  • Beven, Keith, 2015. "What we see now: Event-persistence and the predictability of hydro-eco-geomorphological systems," Ecological Modelling, Elsevier, vol. 298(C), pages 4-15.
  • Handle: RePEc:eee:ecomod:v:298:y:2015:i:c:p:4-15
    DOI: 10.1016/j.ecolmodel.2014.07.019
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380014003561
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2014.07.019?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. Suckling, Emma B. & Smith, Leonard A., 2013. "An evaluation of decadal probability forecasts from state-of-the-art climate models," LSE Research Online Documents on Economics 55142, London School of Economics and Political Science, LSE Library.
    2. Cartwright,Nancy, 1999. "The Dappled World," Cambridge Books, Cambridge University Press, number 9780521644112.
    3. Phillips, Jonathan D., 2011. "Predicting modes of spatial change from state-and-transition models," Ecological Modelling, Elsevier, vol. 222(3), pages 475-484.
    4. Cartwright,Nancy, 1999. "The Dappled World," Cambridge Books, Cambridge University Press, number 9780521643368.
    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. Deliang Sun & Danlu Chen & Jialan Zhang & Changlin Mi & Qingyu Gu & Haijia Wen, 2023. "Landslide Susceptibility Mapping Based on Interpretable Machine Learning from the Perspective of Geomorphological Differentiation," Land, MDPI, vol. 12(5), pages 1-37, May.

    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. Giandomenica Becchio, 2020. "The Two Blades of Occam's Razor in Economics: Logical and Heuristic," Economic Thought, World Economics Association, vol. 9(1), pages 1-17, July.
    2. Julian Reiss, 2001. "Natural economic quantities and their measurement," Journal of Economic Methodology, Taylor & Francis Journals, vol. 8(2), pages 287-311.
    3. Aumann, Craig A., 2007. "A methodology for developing simulation models of complex systems," Ecological Modelling, Elsevier, vol. 202(3), pages 385-396.
    4. Florian Ellsaesser & Eric W. K. Tsang & Jochen Runde, 2014. "Models of causal inference: Imperfect but applicable is better than perfect but inapplicable," Strategic Management Journal, Wiley Blackwell, vol. 35(10), pages 1541-1551, October.
    5. Stephen Pratten, 2007. "Realism, closed systems and abstraction," Journal of Economic Methodology, Taylor & Francis Journals, vol. 14(4), pages 473-497.
    6. Kinouchi, Renato, 2018. "Philosophical issues related to risks and values," LSE Research Online Documents on Economics 90470, London School of Economics and Political Science, LSE Library.
    7. Marcel Boumans & Mary Morgan, 2002. "Ceteris paribus conditions: materiality and the application of economic theories," Journal of Economic Methodology, Taylor & Francis Journals, vol. 8(1), pages 11-26.
    8. Peter C. B. Phillips, 2003. "Laws and Limits of Econometrics," Economic Journal, Royal Economic Society, vol. 113(486), pages 26-52, March.
    9. Midgley, Gerald, 2008. "Response to paper "Systems thinking" by D. Cabrera et al.:: The unification of systems thinking: Is there gold at the end of the rainbow?," Evaluation and Program Planning, Elsevier, vol. 31(3), pages 317-321, August.
    10. Nicolas Brisset, 2018. "Models as speech acts: the telling case of financial models," Journal of Economic Methodology, Taylor & Francis Journals, vol. 25(1), pages 21-41, January.
    11. Toby Ord & Rafaela Hillerbrand & Anders Sandberg, 2010. "Probing the improbable: methodological challenges for risks with low probabilities and high stakes," Journal of Risk Research, Taylor & Francis Journals, vol. 13(2), pages 191-205, March.
    12. Enzo Lenine, 2020. "Modelling Coalitions: From Concept Formation to Tailoring Empirical Explanations," Games, MDPI, vol. 11(4), pages 1-12, November.
    13. Simon Hall & Nilufa Ali & Nick Chater & Mike Oaksford, 2016. "Discounting and Augmentation in Causal Conditional Reasoning: Causal Models or Shallow Encoding?," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-23, December.
    14. Paul Shaffer, 2018. "Causal pluralism and mixed methods in the analysis of poverty dynamics," WIDER Working Paper Series 115, World Institute for Development Economic Research (UNU-WIDER).
    15. Freese, Jeremy & Peterson, David, 2017. "Replication in Social Science," SocArXiv 5bck9, Center for Open Science.
    16. Catherine Laurent & Jacques Baudry & Marielle Berriet-Solliec & Marc Kirsch & Daniel Perraud & Bruno Tinel & Aurélie Trouvé & Nicky Allsopp & Patrick Bonnafous & Françoise Burel & Maria José Carneiro , 2009. "Pourquoi s'intéresser à la notion d' « evidence-based policy » ?," Revue Tiers-Monde, Armand Colin, vol. 0(4), pages 853-873.
    17. Javier Gómez Pineda, 2008. "El crecimiento económico y la supervivencia: el caso de las matemáticas y la economía"," Borradores de Economia 4579, Banco de la Republica.
    18. Sang Yi, 2002. "The nature of model-based understanding in condensed matter physics," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 3(1), pages 81-91, March.
    19. Natalie B. Aviles & Isaac Ariail Reed, 2017. "Ratio via Machina: Three Standards of Mechanistic Explanation in Sociology," Sociological Methods & Research, , vol. 46(4), pages 715-738, November.
    20. Polly Mitchell & Anna Alexandrova, 2021. "Well-Being and Pluralism," Journal of Happiness Studies, Springer, vol. 22(6), pages 2411-2433, August.

    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:298:y:2015:i:c:p:4-15. 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.