IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v401y2019icp20-26.html
   My bibliography  Save this article

Carrying capacity – A capricious construct

Author

Listed:
  • Cropp, Roger
  • Norbury, J.

Abstract

The concept of a carrying capacity of an environment for a population has been an effective way of introducing a connection between populations and their environment. This approach has been particularly effective in heuristic Lotka–Volterra models of competition and predation that provide a basis for theoretical considerations of population interactions. However, the concept has proved less useful for interactions such as mutualism.

Suggested Citation

  • Cropp, Roger & Norbury, J., 2019. "Carrying capacity – A capricious construct," Ecological Modelling, Elsevier, vol. 401(C), pages 20-26.
    • Handle: RePEc:eee:ecomod:v:401:y:2019:i:c:p:20-26
    DOI: 10.1016/j.ecolmodel.2019.03.010
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380019301073
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2019.03.010?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. Fath, Brian D., 2007. "Network mutualism: Positive community-level relations in ecosystems," Ecological Modelling, Elsevier, vol. 208(1), pages 56-67.
    2. Cropp, Roger & Norbury, John, 2018. "Linking obligate mutualism models in an extended consumer-resource framework," Ecological Modelling, Elsevier, vol. 374(C), pages 1-13.
    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. Patten, Bernard C. & Straškraba, Milan & Jørgensen, Sven E., 2011. "Ecosystems emerging. 5: Constraints," Ecological Modelling, Elsevier, vol. 222(16), pages 2945-2972.
    2. Xinhui Feng & Yan Li & Lu Zhang & Chuyu Xia & Er Yu & Jiayu Yang, 2022. "Carbon Metabolism in Urban “Production–Living–Ecological” Space Based on Ecological Network Analysis," Land, MDPI, vol. 11(9), pages 1-22, August.
    3. Aliyu, Murtala Bello & Mohd, Mohd Hafiz, 2021. "The interplay between mutualism, competition and dispersal promotes species coexistence in a multiple interactions type system," Ecological Modelling, Elsevier, vol. 452(C).
    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. 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.
    6. Zhang, Yan & Liu, Hong & Fath, Brian D., 2014. "Synergism analysis of an urban metabolic system: Model development and a case study for Beijing, China," Ecological Modelling, Elsevier, vol. 272(C), pages 188-197.
    7. Zhang, Yan & Li, Shengsheng & Fath, Brian D. & Yang, Zhifeng & Yang, Naijin, 2011. "Analysis of an urban energy metabolic system: Comparison of simple and complex model results," Ecological Modelling, Elsevier, vol. 223(1), pages 14-19.
    8. Zhai, Mengyu & Huang, Guohe & Liu, Lirong & Zheng, Boyue & Guan, Yuru, 2020. "Inter-regional carbon flows embodied in electricity transmission: network simulation for energy-carbon nexus," Renewable and Sustainable Energy Reviews, Elsevier, vol. 118(C).
    9. Zhang, Yan & Yang, Zhifeng & Fath, Brian D. & Li, Shengsheng, 2010. "Ecological network analysis of an urban energy metabolic system: Model development, and a case study of four Chinese cities," Ecological Modelling, Elsevier, vol. 221(16), pages 1865-1879.
    10. María Jesús Ávila-Gutiérrez & Alejandro Martín-Gómez & Francisco Aguayo-González & Juan Ramón Lama-Ruiz, 2020. "Eco-Holonic 4.0 Circular Business Model to Conceptualize Sustainable Value Chain towards Digital Transition," Sustainability, MDPI, vol. 12(5), pages 1-32, March.
    11. 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.
    12. Patten, Bernard C., 2016. "Systems ecology and environmentalism: Getting the science right. Part II: The Janus Enigma Hypothesis," Ecological Modelling, Elsevier, vol. 335(C), pages 101-138.
    13. Roberto Cazzolla Gatti & Roger Koppl & Brian D. Fath & Stuart Kauffman & Wim Hordijk & Robert E. Ulanowicz, 2020. "On the emergence of ecological and economic niches," Journal of Bioeconomics, Springer, vol. 22(2), pages 99-127, July.
    14. Zhang, Yan & Zheng, Hongmei & Fath, Brian D., 2015. "Ecological network analysis of an industrial symbiosis system: A case study of the Shandong Lubei eco-industrial park," Ecological Modelling, Elsevier, vol. 306(C), pages 174-184.
    15. Rozgonjuk, Dmitri & Schmitz, Florian & Kannen, Christopher & Montag, Christian, 2021. "Cognitive ability and personality: Testing broad to nuanced associations with a smartphone app," Intelligence, Elsevier, vol. 88(C).
    16. Coskun, Huseyin, 2018. "Static Ecological System Measures," OSF Preprints g4xzt, Center for Open Science.
    17. Zhang, Yan & Yang, Zhifeng & Yu, Xiangyi, 2009. "Ecological network and emergy analysis of urban metabolic systems: Model development, and a case study of four Chinese cities," Ecological Modelling, Elsevier, vol. 220(11), pages 1431-1442.
    18. Zhu, Xueting & Mu, Xianzhong & Hu, Guangwen, 2019. "Ecological network analysis of urban energy metabolic system—A case study of Beijing," Ecological Modelling, Elsevier, vol. 404(C), pages 36-45.
    19. Duan, Cuncun & Chen, Bin, 2017. "Energy–water nexus of international energy trade of China," Applied Energy, Elsevier, vol. 194(C), pages 725-734.
    20. Wang, Saige & Fath, Brian & Chen, Bin, 2019. "Energy–water nexus under energy mix scenarios using input–output and ecological network analyses," Applied Energy, Elsevier, vol. 233, pages 827-839.

    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:401:y:2019:i:c:p:20-26. 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.