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The research on restoration priority assessment of damaged giant panda habitats based on multi-criteria decision analysis of AHP-OWA

  • HE Hui ,
  • JIANG Min ,
  • XIE Wenwen ,
  • HUANG Yu ,
  • ZHANG Yueming ,
  • WU Sujuan ,
  • ZHANG Pan ,
  • QI Cheng ,
  • LUO Chuan ,
  • LI Junlin ,
  • LUO Peng ,
  • YANG Hao
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  • 1 Yingjing County Daxiangling Nature Reserve Management and Protection Center, Ya'an 625201, China;
    2 Chengdu Institute of Biology, Chinese Academy of Sciences, CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration and Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu 610041, China;
    3 Ya'an Management Bureau of Giant Panda National Park, Ya'an 610036, China;
    4 Sichuan Forestry and Grassland Survey and Planning Institute, National Park Institute, Chengdu 610084, China;
    5 Forestry Science and Technology Promotion Center in Shizhong District of Neijiang, Neijiang 641000, China

Received date: 2023-11-15

  Revised date: 2024-03-12

  Online published: 2024-08-03

Abstract

Identifying and prioritizing the restoration of impaired giant panda habitats is a crucial prerequisite for habitat restoration initiatives within the Giant Panda National Park. When park managers decide to undertake habitat restoration work, it becomes imperative to determine the priority areas. The study considers habitat protection and restoration difficulty comprehensively, to establish a multi-criteria decision analysis for evaluating the priority areas of habitat restoration. This method is based on the analytic hierarchy process and ordered weighted averaging (AHP-OWA), and the Yingjing area of the Giant Panda National Park was selected as a case study to assess the adaptability of the method within the National Park. The results indicate that the damaged or impaired habitat covers an area of 4 273. 97 hm2, comprising nine types and accounting for 5. 11% of the total area of the Giant Panda National Park in Yingjing County. Notably,low-quality secondary forests, artificial pure forests and mine area constitute the largest types of damaged habitat. The AHP-OWA decision analysis method quantitatively reveals the trade-off in the‘protection-cost’relationship. This method offers a range of priority strategies for restoring damaged habitats under different decision-making scenarios. Ultimately, it provides crucial decision-making support for habitat protection and restoration efforts within the Giant Panda National Park. Irrespective of the various scenarios considered, the study identifies the low-quality secondary forests in the high-density distribution area of giant pandas in the northern region of the Toudao watershed along G108 highway as the habitat restoration areas with the highest priority. Given the diverse types of damaged giant panda habitat with varying vegetation and soil characteristics, future habitat restoration efforts should employ measures such as soil restoration, planting, thinning, or striped clear-cutting, tailored to the specific needs of each habitat type.

Cite this article

HE Hui , JIANG Min , XIE Wenwen , HUANG Yu , ZHANG Yueming , WU Sujuan , ZHANG Pan , QI Cheng , LUO Chuan , LI Junlin , LUO Peng , YANG Hao . The research on restoration priority assessment of damaged giant panda habitats based on multi-criteria decision analysis of AHP-OWA[J]. ACTA THERIOLOGICA SINICA, 2024 , 44(4) : 395 -410 . DOI: 10.16829/j.slxb.150878

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