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A System Dynamics Model for Assessing the Efficacy of Lethal Control for Sustainable Management of Ochotona curzoniae on Tibetan Plateau

Author

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  • Jiapeng Qu

    (Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining 810008, China
    Qinghai Provincial Key Laboratory of Restoration Ecology in Cold Region, Xining 810008, China)

  • Zelin Liu

    (College of Resources and Environmental Science, Hunan Normal University, Changsha 410081, China
    Department of Biological Sciences, University of Quebec at Montreal, Montreal, QC H3C 3P8, Canada)

  • Zhenggang Guo

    (State Key Laboratory of Grassland Agro-Ecosystems SKLGAE, Lanzhou University, Lanzhou 730000, China)

  • Yikang Li

    (Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining 810008, China
    Qinghai Provincial Key Laboratory of Restoration Ecology in Cold Region, Xining 810008, China)

  • Huakun Zhou

    (Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining 810008, China
    Qinghai Provincial Key Laboratory of Restoration Ecology in Cold Region, Xining 810008, China)

Abstract

When population abundances exceed the economical or ecological threshold, animals are always regarded as pests, so effective and sustainable management strategies are required. As a native species widely distributed on Tibetan Plateau, plateau pika is regarded as a pest when its abundance is too high. For decades, plateau pika were controlled using toxic baits by both the local government and shepherds. However, how pika population fluctuates after lethal control is far from certain. Based on our previous studies, demographic parameters of plateau pika were acquired. A system dynamics model is developed to parameterize a population model for this species. The model incorporates two age categories (juvenile and adult) of both sexes, and uses density-dependent factors, including reproduction, mortality, and migration. The model is used originally to analyze the effect of pika management on the population dynamics and resulting abundance, in order to plan optimal pest controlling strategies. The results show that lethal control is efficient when continuously conducted once each year, or twice with 2-year intervals. For sustainable controlling pest abundance, comprehensive strategies should be considered. An appropriate population model could be used to explore the optimal strategies and provide important reference into decision making about pest management.

Suggested Citation

  • Jiapeng Qu & Zelin Liu & Zhenggang Guo & Yikang Li & Huakun Zhou, 2021. "A System Dynamics Model for Assessing the Efficacy of Lethal Control for Sustainable Management of Ochotona curzoniae on Tibetan Plateau," Sustainability, MDPI, vol. 13(2), pages 1-11, January.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:2:p:543-:d:476880
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    References listed on IDEAS

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    1. Weller, Florian & Sherley, Richard B. & Waller, Lauren J. & Ludynia, Katrin & Geldenhuys, Deon & Shannon, Lynne J. & Jarre, Astrid, 2016. "System dynamics modelling of the Endangered African penguin populations on Dyer and Robben islands, South Africa," Ecological Modelling, Elsevier, vol. 327(C), pages 44-56.
    2. Bald, J. & Sinquin, A. & Borja, A. & Caill-Milly, N. & Duclercq, B. & Dang, C. & de Montaudouin, X., 2009. "A system dynamics model for the management of the Manila clam, Ruditapes philippinarum (Adams and Reeve, 1850) in the Bay of Arcachon (France)," Ecological Modelling, Elsevier, vol. 220(21), pages 2828-2837.
    3. Arditi, Roger & Lobry, Claude & Sari, Tewfik, 2015. "Is dispersal always beneficial to carrying capacity? New insights from the multi-patch logistic equation," Theoretical Population Biology, Elsevier, vol. 106(C), pages 45-59.
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