IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v496y2024ics0304380024002229.html
   My bibliography  Save this article

Flipbook-ENA: Towards a dynamic Ecological Network Analysis under changing environmental conditions

Author

Listed:
  • Habedank, Joel
  • Horn, Sabine
  • Baird, Dan
  • Lemke, Peter
  • Renz, Jasmin
  • Sidorenko, Vera
  • Wiltshire, Karen H.

Abstract

Changes in abiotic parameters can affect ecosystem structure and function. Network models with subsequent Ecological Network Analysis (ENA) are often used for the quantification of ecosystem-wide properties with descriptive system indices. However, dynamic abiotic alterations of an ecosystem cannot be resolved with the “state of the art” ENA as the methodology of analyses is static in both space and time. In this study, we present a new, almost dynamic ENA “Flipbook-ENA” which allows for the trend analysis of system indices over a defined range of abiotic factors. Flipbook-ENA enables an approximation of the dynamic system response by discretizing the continuous influence of abiotic factors and by calculating the corresponding changes in the model for each discretization step. ENA indices are therefore obtained as a discrete function of the abiotic conditions. We applied this new concept to two aquatic food web models as case studies, using temperature as the influencing abiotic factor. Flipbook-ENA can be considered an enhancement of ENA flexibility, also facilitating the provision of a quantitative assessment basis for socially, economically and ecologically-balanced management of ecosystems in unstable environmental conditions under the pressure of climate change.

Suggested Citation

  • Habedank, Joel & Horn, Sabine & Baird, Dan & Lemke, Peter & Renz, Jasmin & Sidorenko, Vera & Wiltshire, Karen H., 2024. "Flipbook-ENA: Towards a dynamic Ecological Network Analysis under changing environmental conditions," Ecological Modelling, Elsevier, vol. 496(C).
  • Handle: RePEc:eee:ecomod:v:496:y:2024:i:c:s0304380024002229
    DOI: 10.1016/j.ecolmodel.2024.110834
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380024002229
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2024.110834?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. Goerner, Sally J. & Lietaer, Bernard & Ulanowicz, Robert E., 2009. "Quantifying economic sustainability: Implications for free-enterprise theory, policy and practice," Ecological Economics, Elsevier, vol. 69(1), pages 76-81, November.
    2. Chen, Bingzhang, 2022. "Thermal diversity affects community responses to warming," Ecological Modelling, Elsevier, vol. 464(C).
    3. Kazanci, C. & Ma, Q., 2012. "Extending ecological network analysis measures to dynamic ecosystem models," Ecological Modelling, Elsevier, vol. 242(C), pages 180-188.
    4. Fath, Brian D. & Scharler, Ursula M. & Ulanowicz, Robert E. & Hannon, Bruce, 2007. "Ecological network analysis: network construction," Ecological Modelling, Elsevier, vol. 208(1), pages 49-55.
    5. S. I. Anderson & A. D. Barton & S. Clayton & S. Dutkiewicz & T. A. Rynearson, 2021. "Marine phytoplankton functional types exhibit diverse responses to thermal change," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
    6. Baird, Dan & Fath, Brian D. & Ulanowicz, Robert E. & Asmus, Harald & Asmus, Ragnhild, 2009. "On the consequences of aggregation and balancing of networks on system properties derived from ecological network analysis," Ecological Modelling, Elsevier, vol. 220(23), pages 3465-3471.
    7. Shevtsov, Jane & Kazanci, Caner & Patten, Bernard C., 2009. "Dynamic environ analysis of compartmental systems: A computational approach," Ecological Modelling, Elsevier, vol. 220(22), pages 3219-3224.
    8. Mundim, Kleber C. & Baraldi, Solange & Machado, Hugo G. & Vieira, Fernando M.C., 2020. "Temperature coefficient (Q10) and its applications in biological systems: Beyond the Arrhenius theory," Ecological Modelling, Elsevier, vol. 431(C).
    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. Borrett, Stuart R. & Sheble, Laura & Moody, James & Anway, Evan C., 2018. "Bibliometric review of ecological network analysis: 2010–2016," Ecological Modelling, Elsevier, vol. 382(C), pages 63-82.
    2. Schaubroeck, Thomas & Staelens, Jeroen & Verheyen, Kris & Muys, Bart & Dewulf, Jo, 2012. "Improved ecological network analysis for environmental sustainability assessment; a case study on a forest ecosystem," Ecological Modelling, Elsevier, vol. 247(C), pages 144-156.
    3. Borrett, S.R. & Salas, A.K., 2010. "Evidence for resource homogenization in 50 trophic ecosystem networks," Ecological Modelling, Elsevier, vol. 221(13), pages 1710-1716.
    4. Mingqi Zhang & Meirong Su & Weiwei Lu & Chunhua Su, 2015. "An Assessment of the Security of China’s Natural Gas Supply System Using Two Network Models," Energies, MDPI, vol. 8(12), pages 1-16, December.
    5. Coskun, Huseyin, 2018. "Dynamic Ecological System Analysis," OSF Preprints 35xkb, Center for Open Science.
    6. Jiali Huang & Robert E Ulanowicz, 2014. "Ecological Network Analysis for Economic Systems: Growth and Development and Implications for Sustainable Development," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-8, June.
    7. Borrett, S.R. & Freeze, M.A., 2011. "Reconnecting environs to their environment," Ecological Modelling, Elsevier, vol. 222(14), pages 2393-2403.
    8. Salas, Andria K. & Borrett, Stuart R., 2011. "Evidence for the dominance of indirect effects in 50 trophic ecosystem networks," Ecological Modelling, Elsevier, vol. 222(5), pages 1192-1204.
    9. Mukherjee, Joyita & Scharler, Ursula M. & Fath, Brian D. & Ray, Santanu, 2015. "Measuring sensitivity of robustness and network indices for an estuarine food web model under perturbations," Ecological Modelling, Elsevier, vol. 306(C), pages 160-173.
    10. Coskun, Huseyin, 2018. "Dynamic Ecological System Analysis," OSF Preprints 35xkb_v1, Center for Open Science.
    11. Tuominen, Lindsey K. & Whipple, Stuart J. & Patten, Bernard C. & Karatas, Zekeriya Y. & Kazanci, Caner, 2014. "Contribution of throughflows to the ecological interpretation of integral network utility," Ecological Modelling, Elsevier, vol. 293(C), pages 187-201.
    12. Svartzman, Romain & Dron, Dominique & Espagne, Etienne, 2019. "From ecological macroeconomics to a theory of endogenous money for a finite planet," Ecological Economics, Elsevier, vol. 162(C), pages 108-120.
    13. Varga, M. & Csukas, B., 2017. "Generation of extensible ecosystem models from a network structure and from locally executable programs," Ecological Modelling, Elsevier, vol. 364(C), pages 25-41.
    14. Su, Meirong & Zhang, Mingqi & Lu, Weiwei & Chang, Xin & Chen, Bin & Liu, Gengyuan & Hao, Yan & Zhang, Yan, 2017. "ENA-based evaluation of energy supply security: Comparison between the Chinese crude oil and natural gas supply systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 888-899.
    15. Patten, Bernard C., 2016. "The cardinal hypotheses of Holoecology," Ecological Modelling, Elsevier, vol. 319(C), pages 63-111.
    16. Burns, Thomas P. & Rose, Kenneth A. & Brenkert, Antoinette L., 2014. "Quantifying direct and indirect effects of perturbations using model ecosystems," Ecological Modelling, Elsevier, vol. 293(C), pages 69-80.
    17. Pacella, Stephen R. & Lebreton, Benoit & Richard, Pierre & Phillips, Donald & DeWitt, Theodore H. & Niquil, Nathalie, 2013. "Incorporation of diet information derived from Bayesian stable isotope mixing models into mass-balanced marine ecosystem models: A case study from the Marennes-Oléron Estuary, France," Ecological Modelling, Elsevier, vol. 267(C), pages 127-137.
    18. Lu, Weiwei & Su, Meirong & Fath, Brian D. & Zhang, Mingqi & Hao, Yan, 2016. "A systematic method of evaluation of the Chinese natural gas supply security," Applied Energy, Elsevier, vol. 165(C), pages 858-867.
    19. Dunlap, J. & Schramski, J.R., 2024. "Energy-systems accounting in industrial-natural systems; An energy analysis of a managed forest ecosystem including food web biomass dynamics," Ecological Modelling, Elsevier, vol. 488(C).
    20. Fabien Martinez, 2014. "Corporate strategy and the environment: towards a four-dimensional compatibility model for fostering green management decisions," Post-Print hal-02887618, HAL.

    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:496:y:2024:i:c:s0304380024002229. 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.