IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v316y2015icp28-40.html
   My bibliography  Save this article

Dynamical scenarios from a two-patch predator–prey system with human control – Implications for the conservation of the wolf in the Alta Murgia National Park

Author

Listed:
  • Lacitignola, Deborah
  • Diele, Fasma
  • Marangi, Carmela

Abstract

We evaluate a mathematical model of the predator–prey population dynamics in a fragmented habitat where both migration processes between habitat patches and prey control policies are taken into account. The considered system is examined by applying the aggregation method and different dynamical scenarios are generated. The resulting implications are then discussed, their primary aim being the conservation of the wolf population in the Alta Murgia National Park, a protected area situated in the Apulian Foreland and also part of the Natura 2000 network. The Italian wolf is an endangered species and the challenge for the regional authorities is how to formulate conservation policies which enable the maintenance of the said wolf population while at the same time curbing that of the local wild boars and its negative impact on agriculture. We show that our model provides constructive suggestions in how to combine wild boar abatement programs awhile maintaining suitable ecological corridors which ensure wolf migration, thus preserving wolves from extinction.

Suggested Citation

  • Lacitignola, Deborah & Diele, Fasma & Marangi, Carmela, 2015. "Dynamical scenarios from a two-patch predator–prey system with human control – Implications for the conservation of the wolf in the Alta Murgia National Park," Ecological Modelling, Elsevier, vol. 316(C), pages 28-40.
    • Handle: RePEc:eee:ecomod:v:316:y:2015:i:c:p:28-40
    DOI: 10.1016/j.ecolmodel.2015.07.027
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380015003336
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2015.07.027?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. Vincenot, Christian Ernest & Giannino, Francesco & Rietkerk, Max & Moriya, Kazuyuki & Mazzoleni, Stefano, 2011. "Theoretical considerations on the combined use of System Dynamics and individual-based modeling in ecology," Ecological Modelling, Elsevier, vol. 222(1), pages 210-218.
    2. Lacitignola, D. & Petrosillo, I. & Cataldi, M. & Zurlini, G., 2007. "Modelling socio-ecological tourism-based systems for sustainability," Ecological Modelling, Elsevier, vol. 206(1), pages 191-204.
    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. Saikia, Munmi & Maiti, Atasi Patra & Devi, Anuradha, 2020. "Effect of habitat complexity on rhinoceros and tiger population model with additional food and poaching in Kaziranga National Park, Assam," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 177(C), pages 169-191.
    2. Fasma Diele & Carmela Marangi, 2019. "Geometric Numerical Integration in Ecological Modelling," Mathematics, MDPI, vol. 8(1), pages 1-30, December.

    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. Lewe, J.-H. & Hivin, L.F. & Mavris, D.N., 2014. "A multi-paradigm approach to system dynamics modeling of intercity transportation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 71(C), pages 188-202.
    2. Petr Štumpf & Jitka Mattyašovská & Adriana Krištùfková, 2021. "Restart of Hospitality and Tourism: System Dynamics and Scenario-Based Modelling," Academica Turistica - Tourism and Innovation Journal, University of Primorska Press, vol. 14(2), pages 125-136.
    3. Nguyen, Le Khanh Ngan & Howick, Susan & Megiddo, Itamar, 2024. "A framework for conceptualising hybrid system dynamics and agent-based simulation models," European Journal of Operational Research, Elsevier, vol. 315(3), pages 1153-1166.
    4. 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.
    5. Perez-Mujica, Luisa & Duncan, Roderick & Bossomaier, Terry, 2014. "Using agent-based models to design social marketing campaign," Australasian marketing journal, Elsevier, vol. 22(1), pages 36-44.
    6. T.V. Ramachandra & H. A. Bharath & M. V. Sowmyashree, 2013. "Analysis Of Spatial Patterns Of Urbanisation Using Geoinformatics And Spatial Metrics," Theoretical and Empirical Researches in Urban Management, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 8(4), pages 5-24, November.
    7. Qianjin Dong & Xu Zhang & Yalin Chen & Debin Fang, 2019. "Dynamic Management of a Water Resources-Socioeconomic-Environmental System Based on Feedbacks Using System Dynamics," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(6), pages 2093-2108, April.
    8. Arbieu, Ugo & Grünewald, Claudia & Martín-López, Berta & Schleuning, Matthias & Böhning-Gaese, Katrin, 2018. "Large mammal diversity matters for wildlife tourism in Southern African Protected Areas: Insights for management," Ecosystem Services, Elsevier, vol. 31(PC), pages 481-490.
    9. Bogdan-Constantin Ibanescu & Mihail Eva & Alexandra Gheorghiu, 2020. "Questioning the Role of Tourism as an Engine for Resilience: The Role of Accessibility and Economic Performance," Sustainability, MDPI, vol. 12(14), pages 1-13, July.
    10. Khamdamov, T., 2022. "A brief overview of the evolution of computer simulations in economic research," Journal of the New Economic Association, New Economic Association, vol. 54(2), pages 189-207.
    11. Banos-González, Isabel & Martínez-Fernández, Julia & Esteve-Selma, Miguel Ángel, 2015. "Dynamic integration of sustainability indicators in insular socio-ecological systems," Ecological Modelling, Elsevier, vol. 306(C), pages 130-144.
    12. Huihui Feng & Xingpeng Chen & Peter Heck & Hong Miao, 2014. "An Entropy-Perspective Study on the Sustainable Development Potential of Tourism Destination Ecosystem in Dunhuang, China," Sustainability, MDPI, vol. 6(12), pages 1-27, December.
    13. Laperrière, Vincent & Brugger, Katharina & Rubel, Franz, 2016. "Cross-scale modeling of a vector-borne disease, from the individual to the metapopulation: The seasonal dynamics of sylvatic plague in Kazakhstan," Ecological Modelling, Elsevier, vol. 342(C), pages 34-48.
    14. Dimmock, Kay & Musa, Ghazali, 2015. "Scuba Diving Tourism System: A framework for collaborative management and sustainability," Marine Policy, Elsevier, vol. 54(C), pages 52-58.
    15. Chelsea L. Leven & Keith Bosak, 2022. "Concept Mapping: An Effective and Rapid Participatory Tool for Analysis of the Tourism System?," Sustainability, MDPI, vol. 14(16), pages 1-20, August.
    16. Kasimova, R.G. & Obnosov, Yu.V. & Baksht, F.B. & Kacimov, A.R., 2013. "Optimal shape of an anthill dome: Bejan's constructal law revisited," Ecological Modelling, Elsevier, vol. 250(C), pages 384-390.
    17. Chenyu Lu & Wenlei Li & Min Pang & Bing Xue & Hong Miao, 2018. "Quantifying the Economy-Environment Interactions in Tourism: Case of Gansu Province, China," Sustainability, MDPI, vol. 10(3), pages 1-21, March.
    18. Pires, Marcelo A. & Crokidakis, Nuno & Duarte Queirós, Sílvio M., 2022. "Randomness in ecology: The role of complexity on the Allee effect," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 589(C).
    19. Eric de Noronha Vaz & Antonio Brito & Peter Nijkamp & Marco Painho, 2011. "Impacts on environmental law and regulations on agricultural land-use change and urban pressure: the Algarve case," ERSA conference papers ersa10p896, European Regional Science Association.
    20. Nicolas Marine & Cecilia Arnaiz-Schmitz & Cristina Herrero-Jáuregui & Manuel Rodrigo de la O Cabrera & David Escudero & María F. Schmitz, 2020. "Protected Landscapes in Spain: Reasons for Protection and Sustainability of Conservation Management," Sustainability, MDPI, vol. 12(17), pages 1-21, August.

    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:316:y:2015:i:c:p:28-40. 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.