IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v263y2013icp32-41.html
   My bibliography  Save this article

Comparison of an energy systems mini-model to a process-based eco-physiological model for simulating forest growth

Author

Listed:
  • Li, Linjun
  • Tilley, David R.
  • Lu, Hongfang
  • Ren, Hai
  • Qiu, Guoyu

Abstract

The mini-modeling technique that H.T. Odum developed in conjunction with his approach to ecological and energy-based systems principles provides a relatively simple, yet powerful way for simulating ecosystem processes at many scales. However, its simplicity presents limitations that should be articulated. This paper developed a mini-model that simulated the biomass growth and soil organic matter accumulation of three subtropical forest plantations typical of South China to compare its simulated results with field observations and the simulated results of a widely applied process-based model of forest ecosystems (Biome-BGC model). The mini-model's simulated results were close to both the observed values and those of the Biome-BGC model over a 23-year record of early growth (R2>0.90 for biomass). This indicated that when the key ecosystem components, processes and driving forces were fully considered, the mini-model technique could closely emulate the ecosystem processes using only a few equations. Thus, developing a mini-model from ecological and energetic systems principles is a powerful tool for testing and expanding upon general energy principles applicable to many systems and offers the unique opportunity to perform dynamic emergy accounting. Developing a mini-model, on the other hand, can benefit from exploring a complex process-based eco-physiological model, especially to understand ecosystem structure and processes. Compared with process-based ecosystem models, the mini-model does not include specific eco-physiological mechanisms of material production, but simply simulates the ecosystem processes based on the main flows of energy. However, investigation of energy interactions in the mini-model and sensitivity analysis showed that the parameters of the mini-model need to be set within their confidence intervals to avoid errors and, like most simulations, should be validated with field observations before applying the model further. Energy systems mini-models provide the capability to simulate key ecosystem processes and the dynamics of emergy, which can prove useful for evaluating the temporal change in the accumulated value of ecosystems such as forests for environmental accounting purposes.

Suggested Citation

  • Li, Linjun & Tilley, David R. & Lu, Hongfang & Ren, Hai & Qiu, Guoyu, 2013. "Comparison of an energy systems mini-model to a process-based eco-physiological model for simulating forest growth," Ecological Modelling, Elsevier, vol. 263(C), pages 32-41.
  • Handle: RePEc:eee:ecomod:v:263:y:2013:i:c:p:32-41
    DOI: 10.1016/j.ecolmodel.2013.04.019
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380013002342
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2013.04.019?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. Lei, Kampeng & Wang, Zhishi, 2008. "Emergy synthesis and simulation for Macao," Energy, Elsevier, vol. 33(4), pages 613-625.
    2. Tilley, David R., 2011. "Dynamic accounting of emergy cycling," Ecological Modelling, Elsevier, vol. 222(20), pages 3734-3742.
    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. Weiguo Fan & Wei Yao & Kehan Chen, 2023. "Integrating Energy Systems Language and Emergy Approach to Simulate and Analyze the Energy Flow Process of Land Transfer," Land, MDPI, vol. 12(5), pages 1-24, 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. Agostinho, Feni & Almeida, Cecília M.V.B. & Bonilla, Silvia H. & Sacomano, José B. & Giannetti, Biagio F., 2013. "Urban solid waste plant treatment in Brazil: Is there a net emergy yield on the recovered materials?," Resources, Conservation & Recycling, Elsevier, vol. 73(C), pages 143-155.
    2. Tilley, David R., 2014. "Exploration of Odum's dynamic emergy accounting rules for suggested refinements," Ecological Modelling, Elsevier, vol. 279(C), pages 36-44.
    3. Zhang, Xiaohong & Wu, Liqian & Zhang, Rong & Deng, Shihuai & Zhang, Yanzong & Wu, Jun & Li, Yuanwei & Lin, Lili & Li, Li & Wang, Yinjun & Wang, Lilin, 2013. "Evaluating the relationships among economic growth, energy consumption, air emissions and air environmental protection investment in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 259-270.
    4. Taskhiri, Mohammad Sadegh & Tan, Raymond R. & Chiu, Anthony S.F., 2011. "Emergy-based fuzzy optimization approach for water reuse in an eco-industrial park," Resources, Conservation & Recycling, Elsevier, vol. 55(7), pages 730-737.
    5. Zarbá, Lucía & Brown, Mark T., 2015. "Cycling emergy: computing emergy in trophic networks," Ecological Modelling, Elsevier, vol. 315(C), pages 37-45.
    6. Feng, Y.Y. & Chen, S.Q. & Zhang, L.X., 2013. "System dynamics modeling for urban energy consumption and CO2 emissions: A case study of Beijing, China," Ecological Modelling, Elsevier, vol. 252(C), pages 44-52.
    7. Wang, Xiaolong & Li, Zhejin & Long, Pan & Yan, Lingling & Gao, Wangsheng & Chen, Yuanquan & Sui, Peng, 2017. "Sustainability evaluation of recycling in agricultural systems by emergy accounting," Resources, Conservation & Recycling, Elsevier, vol. 117(PB), pages 114-124.
    8. Haizhen Wu & Weiguo Fan & Jianchang Lu, 2021. "Researching on the Sustainability of Transportation Industry Based on a Coupled Emergy and System Dynamics Model: A Case Study of Qinghai," Sustainability, MDPI, vol. 13(12), pages 1-19, June.
    9. Su, Meirong & Fath, Brian D. & Yang, Zhifeng & Chen, Bin & Liu, Gengyuan, 2013. "Ecosystem health pattern analysis of urban clusters based on emergy synthesis: Results and implication for management," Energy Policy, Elsevier, vol. 59(C), pages 600-613.
    10. Yuan Gao & Li Tian & An Huang & Huan Zhang & Jianghao Yu & Yu Pan & Yuankang Wang & Binzhuo Gou, 2023. "Research on the Sustainable Development of Natural-Social-Economic Systems Based on the Emergy Accounting Method—A Case Study of Liyang in China," Land, MDPI, vol. 12(7), pages 1-20, July.
    11. Lei Jin & Yuanhua Chang & Xianwei Ju & Fei Xu, 2019. "A Study on the Sustainable Development of Water, Energy, and Food in China," IJERPH, MDPI, vol. 16(19), pages 1-16, September.
    12. Lacarrière, Bruno & Deutz, Kévin Ruben & Jamali-Zghal, Nadia & Le Corre, Olivier, 2015. "Emergy assessment of the benefits of closed-loop recycling accounting for material losses," Ecological Modelling, Elsevier, vol. 315(C), pages 77-87.
    13. Bedassa Dessalegn Kitessa & Semu Moges Ayalew & Geremew Sahilu Gebrie & Solomon Tesfamariam Teferi, 2024. "Urban water-energy service demand forecasting through linear model approach for sustainability: a case study of Addis Ababa city," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(7), pages 16483-16501, July.
    14. Xue, Jingyan & Liu, Gengyuan & Casazza, Marco & Ulgiati, Sergio, 2018. "Development of an urban FEW nexus online analyzer to support urban circular economy strategy planning," Energy, Elsevier, vol. 164(C), pages 475-495.
    15. Lugaric, Luka & Krajcar, Slavko, 2016. "Transforming cities towards sustainable low-carbon energy systems using emergy synthesis for support in decision making," Energy Policy, Elsevier, vol. 98(C), pages 471-482.
    16. Zhang, XiaoHong & Hu, He & Zhang, Rong & Deng, ShiHuai, 2014. "Interactions between China׳s economy, energy and the air emissions and their policy implications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 624-638.
    17. Liu, Gengyuan & Yang, Zhifeng & Chen, Bin & Ulgiati, Sergio, 2014. "Emergy-based dynamic mechanisms of urban development, resource consumption and environmental impacts," Ecological Modelling, Elsevier, vol. 271(C), pages 90-102.
    18. Su, M.R. & Yang, Z.F. & Chen, B. & Ulgiati, S., 2009. "Urban ecosystem health assessment based on emergy and set pair analysis—A comparative study of typical Chinese cities," Ecological Modelling, Elsevier, vol. 220(18), pages 2341-2348.
    19. Hudson, Amy & Tilley, David R., 2014. "Assessment of uncertainty in emergy evaluations using Monte Carlo simulations," Ecological Modelling, Elsevier, vol. 271(C), pages 52-61.
    20. Gengyuan Liu & Zhifeng Yang & Bin Chen & Yan Zhang & Meirong Su & Lixiao Zhang, 2013. "Emergy Evaluation of the Urban Solid Waste Handling in Liaoning Province, China," Energies, MDPI, vol. 6(10), pages 1-21, October.

    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:263:y:2013:i:c:p:32-41. 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.