IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v287y2014icp36-43.html
   My bibliography  Save this article

Modeling ecological two-sidedness for complex ecosystems

Author

Listed:
  • Wan, Nian-Feng
  • Jiang, Jie-Xian
  • Li, Bo

Abstract

Complex ecosystems consist of social, economic, and natural subsystems that are relatively stable and symmetrical in undisturbed situations. However, external or internal disturbances may result in both positive and negative effects (referred to as “two-sided effects”) on the structure and functions of any complex ecosystems. Such two-sided effects are likely to arise following the re-combination or re-regulation of the flows of matter, energy and information among these three subsystems. How to evaluate the consequences of disturbance events with such two-sided effects is challenging, requiring a new methodology. Here we describe an approach for calculating net benefit to systems where new events have such two-sided effects, and suggest how to maximize potential benefits. In this system, we termed the positive disturbance attribute comprehensive profit (CP), which includes social, economic, and natural profits, while the negative disturbance attribute is termed comprehensive cost (CC). To link and quantify profits and costs, we proposed an “index of ecological two-sidedness” as the Ratio of CC to CP (i.e., RCC/CP), whose values can be combined using some modern mathematical methodologies, where the RCC/CP index matrix, WCC/CP, is defined as the index optimization matrix of CC divided by the index optimization matrix of CP. Theoretically, the lower the value of RCC/CP, the more stable the post-disturbance complex ecosystem is. This methodology of studying ecological two-sidedness may be useful to policy makers and ecologists in ecological management, restoration, planning, and design.

Suggested Citation

  • Wan, Nian-Feng & Jiang, Jie-Xian & Li, Bo, 2014. "Modeling ecological two-sidedness for complex ecosystems," Ecological Modelling, Elsevier, vol. 287(C), pages 36-43.
  • Handle: RePEc:eee:ecomod:v:287:y:2014:i:c:p:36-43
    DOI: 10.1016/j.ecolmodel.2014.04.011
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380014001926
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2014.04.011?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. Shcheglovitova, Mariya & Anderson, Robert P., 2013. "Estimating optimal complexity for ecological niche models: A jackknife approach for species with small sample sizes," Ecological Modelling, Elsevier, vol. 269(C), pages 9-17.
    2. An, Li, 2012. "Modeling human decisions in coupled human and natural systems: Review of agent-based models," Ecological Modelling, Elsevier, vol. 229(C), pages 25-36.
    3. Wan, Nianfeng & Jiang, Jiexian & Ji, Xiangyun & Deng, Jianyu, 2009. "Application of analytic hierarchy process-based model of Ratio of Comprehensive Cost to Comprehensive Profit (RCCCP) in pest management," Ecological Economics, Elsevier, vol. 68(3), pages 888-895, January.
    4. Merico, Agostino & Bruggeman, Jorn & Wirtz, Kai, 2009. "A trait-based approach for downscaling complexity in plankton ecosystem models," Ecological Modelling, Elsevier, vol. 220(21), pages 3001-3010.
    5. Nishimura, Kiyohiko G., 1983. "A new concept of stability and dynamical economic systems," Journal of Economic Dynamics and Control, Elsevier, vol. 6(1), pages 25-40, September.
    6. Jiang, Jiexian & Wan, Nianfeng, 2009. "A model for ecological assessment to pesticide pollution management," Ecological Modelling, Elsevier, vol. 220(15), pages 1844-1851.
    7. Aitken, Stuart C. & An, Li, 2012. "Figured worlds: Environmental complexity and affective ecologies in Fanjingshan, China," Ecological Modelling, Elsevier, vol. 229(C), pages 5-15.
    8. Tyszka, Tadeusz & Sokolowska, Joanna, 1992. "Perception and judgments of the economic system," Journal of Economic Psychology, Elsevier, vol. 13(3), pages 421-448, September.
    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. Xing, Xiaoyun & Xiong, Wanting & Guo, Jinzhong & Wang, Yougui, 2021. "The role of debt in aggregate demand," Finance Research Letters, Elsevier, vol. 39(C).

    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. Ficko, Andrej & Boncina, Andrej, 2013. "Probabilistic typology of management decision making in private forest properties," Forest Policy and Economics, Elsevier, vol. 27(C), pages 34-43.
    2. Qingxu Huang & Dawn C Parker & Tatiana Filatova & Shipeng Sun, 2014. "A Review of Urban Residential Choice Models Using Agent-Based Modeling," Environment and Planning B, , vol. 41(4), pages 661-689, August.
    3. Ulfia A. Lenfers & Julius Weyl & Thomas Clemen, 2018. "Firewood Collection in South Africa: Adaptive Behavior in Social-Ecological Models," Land, MDPI, vol. 7(3), pages 1-17, August.
    4. Kamel Louhichi & Aymeric Ricome & Sergio Gomez y Paloma, 2022. "Impacts of agricultural taxation in Sub‐Saharan Africa: Insights from agricultural produce cess in Tanzania," Agricultural Economics, International Association of Agricultural Economists, vol. 53(5), pages 671-686, September.
    5. Bindewald, Eckart, 2017. "A survey suggests individual priorities are virtually unique: Implications for group dynamics, goal achievement and ecology," Ecological Modelling, Elsevier, vol. 362(C), pages 69-79.
    6. James D. A. Millington & Hang Xiong & Steve Peterson & Jeremy Woods, 2017. "Integrating Modelling Approaches for Understanding Telecoupling: Global Food Trade and Local Land Use," Land, MDPI, vol. 6(3), pages 1-18, August.
    7. Laura McKinney & Devin C. Wright, 2021. "Climate Change and Water Dynamics in Rural Uganda," Sustainability, MDPI, vol. 13(15), pages 1-12, July.
    8. Hancong Ma & Mei Li & Xin Tong & Ping Dong, 2023. "Community-Level Household Waste Disposal Behavior Simulation and Visualization under Multiple Incentive Policies—An Agent-Based Modelling Approach," Sustainability, MDPI, vol. 15(13), pages 1-15, July.
    9. Xia, Min & Zhang, Yanyuan & Zhang, Zihong & Liu, Jingjie & Ou, Weixin & Zou, Wei, 2020. "Modeling agricultural land use change in a rapid urbanizing town: Linking the decisions of government, peasant households and enterprises," Land Use Policy, Elsevier, vol. 90(C).
    10. Pacilly, Francine C.A. & Hofstede, Gert Jan & Lammerts van Bueren, Edith T. & Kessel, Geert J.T. & Groot, Jeroen C.J., 2018. "Simulating crop-disease interactions in agricultural landscapes to analyse the effectiveness of host resistance in disease control: The case of potato late blight," Ecological Modelling, Elsevier, vol. 378(C), pages 1-12.
    11. Yuke Wang & Christine L. Moe & Peter F. M. Teunis, 2018. "Children Are Exposed to Fecal Contamination via Multiple Interconnected Pathways: A Network Model for Exposure Assessment," Risk Analysis, John Wiley & Sons, vol. 38(11), pages 2478-2496, November.
    12. Zagaria, Cecilia & Schulp, Catharina J.E. & Zavalloni, Matteo & Viaggi, Davide & Verburg, Peter H., 2021. "Modelling transformational adaptation to climate change among crop farming systems in Romagna, Italy," Agricultural Systems, Elsevier, vol. 188(C).
    13. Coronese, Matteo & Occelli, Martina & Lamperti, Francesco & Roventini, Andrea, 2023. "AgriLOVE: Agriculture, land-use and technical change in an evolutionary, agent-based model," Ecological Economics, Elsevier, vol. 208(C).
    14. Eigner, Amanda E. & Nuppenau, Ernst-August, 2019. "Applied spatial approach of modelling field size changes based on a consideration of farm and landscape interrelations," Agricultural Systems, Elsevier, vol. 176(C).
    15. Amaro, George & Fidelis, Elisangela Gomes & da Silva, Ricardo Siqueira & Marchioro, Cesar Augusto, 2023. "Effect of study area extent on the potential distribution of Species: A case study with models for Raoiella indica Hirst (Acari: Tenuipalpidae)," Ecological Modelling, Elsevier, vol. 483(C).
    16. Müller-Hansen, Finn & Heitzig, Jobst & Donges, Jonathan & Cardoso, Manoel F. & Dalla-Nora, Eloi L. & Andrade, Pedro R. & Kurths, Jürgen & Thonicke, Kirsten, 2019. "Can intensification of cattle ranching reduce deforestation in the Amazon? Insights from an agent-based social-ecological model," SocArXiv x5q9j, Center for Open Science.
    17. Leigh Tesfatsion, 2017. "Elements of Dynamic Economic Modeling: Presentation and Analysis," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 43(2), pages 192-216, March.
    18. Grimm, Volker & Berger, Uta, 2016. "Structural realism, emergence, and predictions in next-generation ecological modelling: Synthesis from a special issue," Ecological Modelling, Elsevier, vol. 326(C), pages 177-187.
    19. Anshuka Anshuka & Floris F. Ogtrop & David Sanderson & Simone Z. Leao, 2022. "A systematic review of agent-based model for flood risk management and assessment using the ODD protocol," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 112(3), pages 2739-2771, July.
    20. Huber, Robert & Bakker, Martha & Balmann, Alfons & Berger, Thomas & Bithell, Mike & Brown, Calum & Grêt-Regamey, Adrienne & Xiong, Hang & Le, Quang Bao & Mack, Gabriele & Meyfroidt, Patrick & Millingt, 2018. "Representation of decision-making in European agricultural agent-based models," Agricultural Systems, Elsevier, vol. 167(C), pages 143-160.

    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:287:y:2014:i:c:p:36-43. 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.