IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v220y2009i16p1904-1912.html
   My bibliography  Save this article

Implications of network particle tracking (NPT) for ecological model interpretation

Author

Listed:
  • Tollner, E.W.
  • Schramski, J.R.
  • Kazanci, C.
  • Patten, B.C.

Abstract

Network particle tracking (NPT), building on the foundation of network environ analysis (NEA), is a new development in the definition of coherence relations within and between connected systems. This paper evaluates three ecosystem models in a comparison of throughflow- and storage-based NEA and NPT. Compartments in models with high indirect effects and Finn cycling showed low correlation of NEA storage and throughflow with particle repeat visits and numbers of particles in compartments at steady state. Conversely, the correlation between NEA and NPT results was high with two models having lower indirect effects and Finn cycling. Analysis of ecological orientors associated with NEA showed NPT to fully support conventional NEA results when the common conditions of donor control and steady state are satisfied. Particle trajectories are recorded in the new concept of a particle “passport”. Ability to track and record particle in-system histories enables views of multiple scales and opens the possibility of making pathway-dependent modeling decisions. NPT may also enable modeling of time, allowing integration of Newtonian, organismal and stochastic modeling perspectives in a single comprehensive analysis.

Suggested Citation

  • Tollner, E.W. & Schramski, J.R. & Kazanci, C. & Patten, B.C., 2009. "Implications of network particle tracking (NPT) for ecological model interpretation," Ecological Modelling, Elsevier, vol. 220(16), pages 1904-1912.
    • Handle: RePEc:eee:ecomod:v:220:y:2009:i:16:p:1904-1912
    DOI: 10.1016/j.ecolmodel.2009.04.018
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380009002774
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2009.04.018?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. Tollner, Ernest W. & Kazanci, Caner, 2007. "Defining an ecological thermodynamics using discrete simulation approaches," Ecological Modelling, Elsevier, vol. 208(1), pages 68-79.
    2. Kazancı, Caner, 2007. "EcoNet: A new software for ecological modeling, simulation and network analysis," Ecological Modelling, Elsevier, vol. 208(1), pages 3-8.
    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. Coskun, Huseyin, 2018. "Dynamic Ecological System Analysis," OSF Preprints 35xkb, Center for Open Science.
    2. Borrett, S.R. & Freeze, M.A. & Salas, A.K., 2011. "Equivalence of the realized input and output oriented indirect effects metrics in Ecological Network Analysis," Ecological Modelling, Elsevier, vol. 222(13), pages 2142-2148.
    3. Li, Y. & Chen, B. & Yang, Z.F., 2009. "Ecological network analysis for water use systems—A case study of the Yellow River Basin," Ecological Modelling, Elsevier, vol. 220(22), pages 3163-3173.
    4. 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.
    5. Ma, Q. & Kazanci, C., 2013. "Analysis of indirect effects within ecosystem models using pathway-based methodology," Ecological Modelling, Elsevier, vol. 252(C), pages 238-245.
    6. Whipple, Stuart J. & Patten, Bernard C. & Borrett, Stuart R., 2014. "Indirect effects and distributed control in ecosystems," Ecological Modelling, Elsevier, vol. 293(C), pages 161-186.
    7. 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.
    8. Patten, Bernard C., 2016. "The cardinal hypotheses of Holoecology," Ecological Modelling, Elsevier, vol. 319(C), pages 63-111.

    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. Matamba, L. & Kazanci, C. & Schramski, J.R. & Blessing, M. & Alexander, P. & Patten, B.C., 2009. "Throughflow analysis: A stochastic approach," Ecological Modelling, Elsevier, vol. 220(22), pages 3174-3181.
    2. Kazanci, C. & Matamba, L. & Tollner, E.W., 2009. "Cycling in ecosystems: An individual based approach," Ecological Modelling, Elsevier, vol. 220(21), pages 2908-2914.
    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. Patten, Bernard C. & Straškraba, Milan & Jørgensen, Sven E., 2011. "Ecosystems emerging. 5: Constraints," Ecological Modelling, Elsevier, vol. 222(16), pages 2945-2972.
    5. Buzhdygan, Oksana Y. & Rudenko, Svitlana S. & Kazanci, Caner & Patten, Bernard C., 2016. "Effect of invasive black locust (Robinia pseudoacacia L.) on nitrogen cycle in floodplain ecosystem," Ecological Modelling, Elsevier, vol. 319(C), pages 170-177.
    6. Tollner, E.W. & Kazanci, C. & Schramski, J.R. & Patten, B.C., 2009. "Control system approaches to ecological systems analysis: Invariants and frequency response," Ecological Modelling, Elsevier, vol. 220(22), pages 3233-3240.
    7. 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.
    8. Patten, Bernard C., 2015. "Link tracking: Quantifying network flows from qualitative node–link digraphs," Ecological Modelling, Elsevier, vol. 295(C), pages 47-58.
    9. Chen, Shaoqing & Chen, Bin & Fath, Brian D., 2015. "Assessing the cumulative environmental impact of hydropower construction on river systems based on energy network model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 78-92.
    10. Fath, Brian D. & Scharler, Ursula M. & Baird, Dan, 2013. "Dependence of network metrics on model aggregation and throughflow calculations: Demonstration using the Sylt–Rømø Bight Ecosystem," Ecological Modelling, Elsevier, vol. 252(C), pages 214-219.
    11. Schramski, J.R. & Patten, B.C. & Kazanci, C. & Gattie, D.K. & Kellam, N.N., 2009. "The Reynolds transport theorem: Application to ecological compartment modeling and case study of ecosystem energetics," Ecological Modelling, Elsevier, vol. 220(22), pages 3225-3232.
    12. Borrett, S.R. & Freeze, M.A. & Salas, A.K., 2011. "Equivalence of the realized input and output oriented indirect effects metrics in Ecological Network Analysis," Ecological Modelling, Elsevier, vol. 222(13), pages 2142-2148.
    13. Buzhdygan, Oksana Y. & Patten, Bernard C. & Kazanci, Caner & Ma, Qianqian & Rudenko, Svitlana S., 2012. "Dynamical and system-wide properties of linear flow-quantified food webs," Ecological Modelling, Elsevier, vol. 245(C), pages 176-184.
    14. Ma, Q. & Kazanci, C., 2013. "Analysis of indirect effects within ecosystem models using pathway-based methodology," Ecological Modelling, Elsevier, vol. 252(C), pages 238-245.
    15. 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.
    16. Kazanci, Caner & Ma, Qianqian & Basheer, Aladeen Al & Azizi, Asma, 2023. "Resilience, indirect effects and cycling in ecological networks," Ecological Modelling, Elsevier, vol. 481(C).
    17. J. Garcia-Algarra & J. M. Pastor & M. L. Mouronte & J. Galeano, 2018. "A Structural Approach to Disentangle the Visualization of Bipartite Biological Networks," Complexity, Hindawi, vol. 2018, pages 1-11, February.
    18. Li, Y. & Chen, B. & Yang, Z.F., 2009. "Ecological network analysis for water use systems—A case study of the Yellow River Basin," Ecological Modelling, Elsevier, vol. 220(22), pages 3163-3173.
    19. 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.
    20. Zavalishin, Nikolay N., 2008. "Dynamic compartment approach for modelling regimes of carbon cycle functioning in bog ecosystems," Ecological Modelling, Elsevier, vol. 213(1), pages 16-32.

    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:220:y:2009:i:16:p:1904-1912. 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.