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Application of least-cost path model to identify a giant panda dispersal corridor network after the Wenchuan earthquake—Case study of Wolong Nature Reserve in China

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Listed:
  • Li, Hailong
  • Li, Dihua
  • Li, Ting
  • Qiao, Qing
  • Yang, Jian
  • Zhang, Hemin

Abstract

With growing levels of human-activity and frequent natural disturbances throughout the world, it is increasingly important that both research and management efforts take into account the widespread landscape fragmentation and its consequences for biodiversity conservation. The magnitude 5.12 Wenchuan earthquake in China caused dramatic impacts on giant panda (Ailuropoda melanoleuca) habitat in the nature reserves within Minshan and Qionglai mountains. With the combined stresses of the natural disaster and the extensive human activities during postquake reconstruction, giant panda habitat in this region may become more fragmented in the future. In order to preserve the giant panda population after the earthquake and protect the species against habitat fragmentation, this article explores a method of identifying giant panda migration corridors involving habitat suitability assessments and a least-cost path model. Focusing on postquake Wolong Nature Reserve, our results demonstrate that it contains 430.3km2 of suitable habitat (21.1% of total area), 463.8km2 of marginally suitable habitat (22.8%) and 1141.9km2 of unsuitable habitat (50.1%). We further show that several giant panda dispersal corridors exist in the reserve, including four corridor groups that cross the provincial highway and five corridors that do not intersect areas of human activity. This study will contribute to management and conservation efforts in Wolong Nature Reserve and beyond after the Wenchuan earthquake.

Suggested Citation

  • Li, Hailong & Li, Dihua & Li, Ting & Qiao, Qing & Yang, Jian & Zhang, Hemin, 2010. "Application of least-cost path model to identify a giant panda dispersal corridor network after the Wenchuan earthquake—Case study of Wolong Nature Reserve in China," Ecological Modelling, Elsevier, vol. 221(6), pages 944-952.
  • Handle: RePEc:eee:ecomod:v:221:y:2010:i:6:p:944-952
    DOI: 10.1016/j.ecolmodel.2009.12.006
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    References listed on IDEAS

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    1. LaRue, Michelle A. & Nielsen, Clayton K., 2008. "Modelling potential dispersal corridors for cougars in midwestern North America using least-cost path methods," Ecological Modelling, Elsevier, vol. 212(3), pages 372-381.
    2. Foltête, J.C. & Berthier, K. & Cosson, J.F., 2008. "Cost distance defined by a topological function of landscape," Ecological Modelling, Elsevier, vol. 210(1), pages 104-114.
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    Cited by:

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    3. Xiao Ouyang & Zhenbo Wang & Xiang Zhu, 2019. "Construction of the Ecological Security Pattern of Urban Agglomeration under the Framework of Supply and Demand of Ecosystem Services Using Bayesian Network Machine Learning: Case Study of the Changsh," Sustainability, MDPI, vol. 11(22), pages 1-16, November.
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    5. Lingfan Ju & Yan Liu & Jin Yang & Mingshun Xiang & Qing Xiang & Wenkai Hu & Zhengyi Ding, 2023. "Construction of Nature Reserves’ Ecological Security Pattern Based on Landscape Ecological Risk Assessment: A Case Study of Garze Tibetan Autonomous Prefecture, China," Sustainability, MDPI, vol. 15(11), pages 1-20, May.
    6. Jianying Xu & Feifei Fan & Yanxu Liu & Jianquan Dong & Jixing Chen, 2019. "Construction of Ecological Security Patterns in Nature Reserves Based on Ecosystem Services and Circuit Theory: A Case Study in Wenchuan, China," IJERPH, MDPI, vol. 16(17), pages 1-15, September.
    7. Jiameng Hu & Yanfang Liu & Jian Fang, 2021. "Ecological Corridor Construction Based on Least-Cost Modeling Using Visible Infrared Imaging Radiometer Suite (VIIRS) Nighttime Light Data and Normalized Difference Vegetation Index," Land, MDPI, vol. 10(8), pages 1-15, July.

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