IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v494y2024ics0304380024001480.html
   My bibliography  Save this article

Suitable habitat evaluation and ecological security pattern optimization for the ecological restoration of Giant Panda habitat based on nonstationary factors and MCR model

Author

Listed:
  • He, Hui
  • Yu, Xiangke
  • Yu, Hui
  • Ma, Zhigang
  • Luo, Yong
  • Liu, Tao
  • Rong, Ziwei
  • Xu, Jinhong
  • Chen, Dianpeng
  • Li, Pengshang
  • Yuan, Fuxin
  • Zhao, Yongtao

Abstract

Enhancing the regional connectivity, coordination, and integrity of Giant Panda National Park can protect giant pandas. The construction and optimization of the ecological security pattern in giant panda habitat can effectively promote the information exchange among giant panda populations of Giant Panda National Park in Ya'an area. Based on climate change, geographic location, human activities, and other factors, the Maxent model was used to evaluate the non-stability of giant panda habitat suitability, and the minimum cumulative resistance (MCR) model was used to construct the ecological security pattern. Based on the gravity model and relevant image verification analysis, we proposed an optimal solution to the ecological problem of giant panda corridor groups. From our research, good habitat suitability of giant pandas was detected, with a high degree of local fragmentation. The areas of the most suitable habitat, the more suitable habitat, and the generally suitability were 1970.12 km2, 2346.51 km2, and 1902.37 km2, respectively. Suitable habitat was located between 2100 m and 3400 m in elevation, with a less than 30° slope. The average temperature of the coldest season in the suitable area was around - 2 ∼ 2 °C, the precipitation of the wettest month was between 140 ∼ 160 mm, and the mean diurnal range was between 9 ∼ 14 °C. Valuation results for nonstationary factors beyond these ranges will not fall within the Habitat Suitability Zone. In total, 13 ecological sources, 13 ecological corridors, 6 ecological barrier points, and 4 ecological pinch points were identified and divided into 4 ecological corridor groups to locate and repair ecological problems, achieving the purpose of building and optimizing ecological security patterns. The integrated technical frame work proposed in this work, which combined the suitability evaluation, ecological safety pattern construction and ecological restoration, considered the nonstationary variations in factors and the actual species ranges. It also emphasized the importance of the relationship between the species’ suitability and the ecological security pattern. The results of this work have important implications for examining the habitat modifications, gene exchange between giant panda populations, and habitat conservation of giant pandas.

Suggested Citation

  • He, Hui & Yu, Xiangke & Yu, Hui & Ma, Zhigang & Luo, Yong & Liu, Tao & Rong, Ziwei & Xu, Jinhong & Chen, Dianpeng & Li, Pengshang & Yuan, Fuxin & Zhao, Yongtao, 2024. "Suitable habitat evaluation and ecological security pattern optimization for the ecological restoration of Giant Panda habitat based on nonstationary factors and MCR model," Ecological Modelling, Elsevier, vol. 494(C).
  • Handle: RePEc:eee:ecomod:v:494:y:2024:i:c:s0304380024001480
    DOI: 10.1016/j.ecolmodel.2024.110760
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380024001480
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2024.110760?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. Zhang, Ze & Hu, Baoqing & Jiang, Weiguo & Qiu, Haihong, 2023. "Construction of ecological security pattern based on ecological carrying capacity assessment 1990–2040: A case study of the Southwest Guangxi Karst - Beibu Gulf," Ecological Modelling, Elsevier, vol. 479(C).
    2. Liu, Fang & McShea, William J. & Li, Diqiang, 2017. "Correlating habitat suitability with landscape connectivity: A case study of Sichuan golden monkey in China," Ecological Modelling, Elsevier, vol. 353(C), pages 37-46.
    3. Yan, Zhigang & Dayananda, Buddhi & Qin, Wei & Gao, Jie & Wang, Xueli & Popovic, Igor, 2023. "System evolution model of human disturbances in panda habitats," Ecological Modelling, Elsevier, vol. 484(C).
    4. Yingying Duan & Haina Rong & Dunwu Qi & Luis Valencia-Cabrera & Gexiang Zhang & Mario J. Pérez-Jiménez, 2020. "A Review of Membrane Computing Models for Complex Ecosystems and a Case Study on a Complex Giant Panda System," Complexity, Hindawi, vol. 2020, pages 1-26, September.
    5. Duan, Yingying & Rong, Haina & Zhang, Gexiang & Gorbachev, Sergey & Qi, Dunwu & Valencia-Cabrera, Luis & Pérez-Jiménez, Mario J., 2024. "A review of computing models for studying population dynamics of giant panda ecosystems," Ecological Modelling, Elsevier, vol. 487(C).
    6. 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.
    7. Liu, Xuehua & Cheng, Xiangnan & Skidmore, Andrew K., 2011. "Potential solar radiation pattern in relation to the monthly distribution of giant pandas in Foping Nature Reserve, China," Ecological Modelling, Elsevier, vol. 222(3), pages 645-652.
    Full references (including those not matched with items on IDEAS)

    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. Früh, Linus & Kampen, Helge & Kerkow, Antje & Schaub, Günter A. & Walther, Doreen & Wieland, Ralf, 2018. "Modelling the potential distribution of an invasive mosquito species: comparative evaluation of four machine learning methods and their combinations," Ecological Modelling, Elsevier, vol. 388(C), pages 136-144.
    2. Nichols, J.M. & Spendelow, J.A. & Nichols, J.D., 2017. "Using Optimal Transport Theory to Estimate Transition Probabilities in Metapopulation Dynamics," Ecological Modelling, Elsevier, vol. 359(C), pages 311-319.
    3. Shaokun Zhou & Yuhong Song & Yijiao Li & Jing Wang & Lan Zhang, 2022. "Construction of Ecological Security Pattern for Plateau Lake Based on MSPA–MCR Model: A Case Study of Dianchi Lake Area," Sustainability, MDPI, vol. 14(21), pages 1-17, November.
    4. An, Yi & Liu, Shiliang & Sun, Yongxiu & Shi, Fangning & Liu, Yixuan & Beazley, Robert, 2021. "Determining the importance of core areas in the alpine shrub-meadow gradient zone of the Qinghai-Tibet Plateau," Ecological Modelling, Elsevier, vol. 440(C).
    5. LaRue, Michelle A. & Nielsen, Clayton K., 2016. "Population viability of recolonizing cougars in midwestern North America," Ecological Modelling, Elsevier, vol. 321(C), pages 121-129.
    6. Duan, Yingying & Rong, Haina & Zhang, Gexiang & Gorbachev, Sergey & Qi, Dunwu & Valencia-Cabrera, Luis & Pérez-Jiménez, Mario J., 2024. "A review of computing models for studying population dynamics of giant panda ecosystems," Ecological Modelling, Elsevier, vol. 487(C).
    7. Biljana Savić & Alevtina Evgrafova & Cenk Donmez & Filip Vasić & Michael Glemnitz & Carsten Paul, 2021. "Assessing the Role of Kettle Holes for Providing and Connecting Amphibian Habitats in Agricultural Landscapes," Land, MDPI, vol. 10(7), pages 1-22, June.
    8. Stricker, Heather K. & Gehring, Thomas M. & Donner, Deahn & Petroelje, Tyler, 2019. "Multi-scale habitat selection model assessing potential gray wolf den habitat and dispersal corridors in Michigan, USA," Ecological Modelling, Elsevier, vol. 397(C), pages 84-94.
    9. An, Yi & Liu, Shiliang & Sun, Yongxiu & Shi, Fangning & Zhao, Shuang, 2020. "Negative effects of farmland expansion on multi-species landscape connectivity in a tropical region in Southwest China," Agricultural Systems, Elsevier, vol. 179(C).
    10. Fan, Juntao & Li, Junsheng & Xia, Rui & Hu, Lile & Wu, Xiaopu & Li, Guo, 2014. "Assessing the impact of climate change on the habitat distribution of the giant panda in the Qinling Mountains of China," Ecological Modelling, Elsevier, vol. 274(C), pages 12-20.
    11. Federica Isola & Sabrina Lai & Federica Leone & Corrado Zoppi, 2024. "Urban Green Infrastructure and Ecosystem Service Supply: A Study Concerning the Functional Urban Area of Cagliari, Italy," Sustainability, MDPI, vol. 16(19), pages 1-37, October.
    12. Hassène Aissi & Salem Chakhar & Vincent Mousseau, 2012. "GIS-Based Multicriteria Evaluation Approach for Corridor Siting," Environment and Planning B, , vol. 39(2), pages 287-307, April.
    13. Rong Guo & Yujing Bai, 2019. "Simulation of an Urban-Rural Spatial Structure on the Basis of Green Infrastructure Assessment: The Case of Harbin, China," Land, MDPI, vol. 8(12), pages 1-21, December.
    14. Federica Isola & Federica Leone & Corrado Zoppi, 2022. "Mapping of Ecological Corridors as Connections between Protected Areas: A Study Concerning Sardinia, Italy," Sustainability, MDPI, vol. 14(11), pages 1-31, May.
    15. Chi, Yuan & Xie, Zuolun & Wang, Jing, 2019. "Establishing archipelagic landscape ecological network with full connectivity at dual spatial scales," Ecological Modelling, Elsevier, vol. 399(C), pages 54-65.
    16. Jung A Lee & Jinhyung Chon & Changwoo Ahn, 2014. "Planning Landscape Corridors in Ecological Infrastructure Using Least-Cost Path Methods Based on the Value of Ecosystem Services," Sustainability, MDPI, vol. 6(11), pages 1-22, October.
    17. Yibo Xu & Xiaohuang Liu & Lianrong Zhao & Jiufen Liu & Xiaofeng Zhao & Hongyu Li & Chao Wang & Honghui Zhao & Ran Wang & Xinping Luo & Liyuan Xing, 2024. "Prediction of Potential Suitability Areas for Ephedra sinica in the Five Northwestern Provinces of China Under Climate Change," Agriculture, MDPI, vol. 14(10), pages 1-18, October.
    18. Erin L Koen & Colin J Garroway & Paul J Wilson & Jeff Bowman, 2010. "The Effect of Map Boundary on Estimates of Landscape Resistance to Animal Movement," PLOS ONE, Public Library of Science, vol. 5(7), pages 1-8, July.
    19. LaRue, Michelle A. & Nielsen, Clayton K., 2011. "Modelling potential habitat for cougars in midwestern North America," Ecological Modelling, Elsevier, vol. 222(3), pages 897-900.
    20. Federica Isola & Sabrina Lai & Federica Leone & Corrado Zoppi, 2022. "Strengthening a Regional Green Infrastructure through Improved Multifunctionality and Connectedness: Policy Suggestions from Sardinia, Italy," Sustainability, MDPI, vol. 14(15), pages 1-22, 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:494:y:2024:i:c:s0304380024001480. 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.