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Effects of human disturbance on vegetation, prey and Amur tigers in Hunchun Nature Reserve, China

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  • Li, Zhilin
  • Kang, Aili
  • Gu, Jiayin
  • Xue, Yangang
  • Ren, Yi
  • Zhu, Zhiwen
  • Liu, Peiqi
  • Ma, Jianzhang
  • Jiang, Guangshun

Abstract

Multiple human disturbances influence the vegetation, ungulates and Amur tigers (Panthera tigris altaica) in Hunchun Nature Reserve (HNR) in northeastern China. In order to understand the influence and relative contribution of human disturbance on Amur tigers, prey and vegetation, we conducted the transect lines and plot surveys of human disturbance inside HNR from August to October 2013. We used generalized additive models, generalized liner models and structural equation models to explore the effects of human disturbance on vegetation, prey and Amur tigers. We then used hierarchical partitioning models to quantify the contribution of four main kinds of human disturbance. Our results suggest that all three models indicate that human disturbance can directly and indirectly affect prey and Amur tigers via the Bottom Up chains. Among the human disturbances, grazing activity and ginseng land encroachment impacted vegetation more than roads did; for prey, secondary roads had the greatest impact. Grazing activity, secondary roads and primary roads were the main factors disturbing Amur tigers. The generalized additive model had a stronger detection ability for disturbance prediction than generalized liner and structural equation models. The generalized additive model detected more complex nonlinear interaction relationships between predator and prey or predator, prey and habitat factors. Reducing or eliminating specific types of disturbance will be essential to recover Amur tiger populations and their habitats.

Suggested Citation

  • Li, Zhilin & Kang, Aili & Gu, Jiayin & Xue, Yangang & Ren, Yi & Zhu, Zhiwen & Liu, Peiqi & Ma, Jianzhang & Jiang, Guangshun, 2017. "Effects of human disturbance on vegetation, prey and Amur tigers in Hunchun Nature Reserve, China," Ecological Modelling, Elsevier, vol. 353(C), pages 28-36.
    • Handle: RePEc:eee:ecomod:v:353:y:2017:i:c:p:28-36
    DOI: 10.1016/j.ecolmodel.2016.08.014
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    References listed on IDEAS

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    1. Sabatier, Paul A., 1986. "Top-Down and Bottom-Up Approaches to Implementation Research: a Critical Analysis and Suggested Synthesis," Journal of Public Policy, Cambridge University Press, vol. 6(1), pages 21-48, January.
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    1. Hangnan Yu & Lan Li, 2022. "Inferring Land Conditions in the Tumen River Basin by Trend Analysis Based on Satellite Imagery and Geoinformation," Sustainability, MDPI, vol. 14(9), pages 1-11, May.
    2. Liu, Haoqi & Li, Weide & Lv, Guanghui, 2019. "How nonrandom habitat loss affects nature reserve planning strategies," Ecological Modelling, Elsevier, vol. 397(C), pages 39-46.
    3. Andrew Rule & Sarah-Eve Dill & Gordy Sun & Aidan Chen & Senan Khawaja & Ingrid Li & Vincent Zhang & Scott Rozelle, 2022. "Challenges and Opportunities in Aligning Conservation with Development in China’s National Parks: A Narrative Literature Review," IJERPH, MDPI, vol. 19(19), pages 1-24, October.
    4. Siyuan He & Yang Su, 2022. "Understanding Residents’ Perceptions of the Ecosystem to Improve Park–People Relationships in Wuyishan National Park, China," Land, MDPI, vol. 11(4), pages 1-18, April.

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