IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i10p7916-d1144981.html
   My bibliography  Save this article

Predicting the Effects of Future Climate Change on the Potential Distribution of Eolagurus luteus in Xinjiang

Author

Listed:
  • Qinghui An

    (College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China)

  • Jianghua Zheng

    (College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China)

  • Jingyun Guan

    (College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China
    College of Tourism, Xinjiang University of Finance and Economics, Urumqi 830012, China)

  • Jianguo Wu

    (Locust and Rodent Control Headquarters of Xinjiang Uygur Autonomous Region, Urumqi 830001, China)

  • Jun Lin

    (Locust and Rodent Control Headquarters of Xinjiang Uygur Autonomous Region, Urumqi 830001, China)

  • Xifeng Ju

    (College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China)

  • Rui Wu

    (College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China)

Abstract

Eolagurus luteus (yellow steppe lemming Eolagurus luteus Eversmann, 1840) is a keystone species in the desert steppe of northern Xinjiang, one of the regions most affected by global climate change. Their behavior of eating grassland vegetation and digging holes has resulted in the reduction of grassland vegetation and soil erosion in northern Xinjiang, which has seriously affected the ecological balance of the grassland in northern Xinjiang, and pathogens carried by E. luteus pose a great threat to human health. Climate change exacerbates the uncertainty of the outbreak of E. luteus . Predicting the suitable habitat area of this species under climate change scenarios will help farmers and herders deal with the potential threat of an E. luteus outbreak. In this study, 117 actual occurrence points of E. luteus were used, and 24 climate models, 6 soil factors and 3 topographic factors from the Coupled Model Intercomparison Project (CMIP6) were taken into account. Combining the MaxEnt model and the overlay analysis function of ArcGIS software, the potential geographic distribution of E. luteus in 2030 and 2050 for the green development path (SSP126), the intermediate development path (SSP245), the regional competition path (SSP370), and the high development path (SSP585) was predicted. The change trend of the suitable area and distribution pattern of E. luteus in Xinjiang under future climate conditions was analyzed, and the main environmental factors affecting the distribution of E. luteus are discussed. The results show that the average area under curve (AUC) and true skill statistics (TSS) of the MaxEnt model are 0.993 and 0.8816, respectively, indicating that the model has a good prediction effect. The analysis of environmental factors showed that the main environmental factors affecting the potential geographical distribution of E. luteus are average annual temperature, isotherm, average temperature in the wettest quarter, average temperature in the driest quarter, and precipitation variation coefficient. With the increase of radiation intensity and time, the suitable areas of E. luteus will continue to decrease. Especially in the 2050s under the SSP585 scenario, the middle and high suitable areas will decrease by 2.58 × 10 4 km 2 and 1.52 × 10 4 km 2 , respectively. Although the potential habitat area of E. luteus is shrinking, the future threat of E. luteus to grassland ecological security and human health should not be underestimated due to ecological adaptation of the community and the frequent occurrence of extreme weather. Therefore, studying changes in the potential geographic distribution of E. luteus under climate change scenarios and developing appropriate monitoring programs are of great importance for grassland ecological security and human health. This study fills in the gaps in the study of the potential geographical distribution of E. luteus and provides methodological and literature support for the study of the potential geographical distribution of other rodents.

Suggested Citation

  • Qinghui An & Jianghua Zheng & Jingyun Guan & Jianguo Wu & Jun Lin & Xifeng Ju & Rui Wu, 2023. "Predicting the Effects of Future Climate Change on the Potential Distribution of Eolagurus luteus in Xinjiang," Sustainability, MDPI, vol. 15(10), pages 1-15, May.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:10:p:7916-:d:1144981
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/10/7916/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/10/7916/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nazerke Bizhanova & Moriz Steiner & Nurkuisa Rametov & Alexey Grachev & Yuri Grachev & Maxim Bespalov & Tungyshbek Zhaparkulov & Saltore Saparbayev & Amanbol Sailaukhanuly & Sergey Bespalov & Aibol Bo, 2022. "The Elusive Turkestan Lynx at the Northwestern Edge of Geographic Range: Current Suitable Habitats and Distribution Forecast in the Climate Change," Sustainability, MDPI, vol. 14(15), pages 1-39, August.
    2. Sharon B. Phillips & Viney P. Aneja & Daiwen Kang & S. Pal Arya, 2006. "Modelling and analysis of the atmospheric nitrogen deposition in North Carolina," International Journal of Global Environmental Issues, Inderscience Enterprises Ltd, vol. 6(2/3), pages 231-252.
    3. Hong Xiao & Hai-Ning Liu & Li-Dong Gao & Cun-Rui Huang & Zhou Li & Xiao-Ling Lin & Bi-Yun Chen & Huai-Yu Tian, 2013. "Investigating the Effects of Food Available and Climatic Variables on the Animal Host Density of Hemorrhagic Fever with Renal Syndrome in Changsha, China," PLOS ONE, Public Library of Science, vol. 8(4), pages 1-9, April.
    4. Yinglian Qi & Xiaoyan Pu & Yaxiong Li & Dingai Li & Mingrui Huang & Xuan Zheng & Jiaxin Guo & Zhi Chen, 2022. "Prediction of Suitable Distribution Area of Plateau pika ( Ochotona curzoniae ) in the Qinghai–Tibet Plateau under Shared Socioeconomic Pathways (SSPs)," Sustainability, MDPI, vol. 14(19), pages 1-23, September.
    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. Guo-hua Ye & Mirxat Alim & Peng Guan & De-sheng Huang & Bao-sen Zhou & Wei Wu, 2021. "Improving the precision of modeling the incidence of hemorrhagic fever with renal syndrome in mainland China with an ensemble machine learning approach," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-13, March.
    2. Shujuan Li & Lingli Zhu & Lidan Zhang & Guoyan Zhang & Hongyan Ren & Liang Lu, 2023. "Urbanization-Related Environmental Factors and Hemorrhagic Fever with Renal Syndrome: A Review Based on Studies Taken in China," IJERPH, MDPI, vol. 20(4), pages 1-20, February.
    3. Hao Dong & Ningning Zhang & Simin Shen & Shixin Zhu & Saibin Fan & Yang Lu, 2023. "Effects of Climate Change on the Spatial Distribution of the Threatened Species Rhododendron purdomii in Qinling-Daba Mountains of Central China: Implications for Conservation," Sustainability, MDPI, vol. 15(4), pages 1-13, February.
    4. Yoshimura, Nobuhiko & Hiura, Tsutom, 2017. "Demand and supply of cultural ecosystem services: Use of geotagged photos to map the aesthetic value of landscapes in Hokkaido," Ecosystem Services, Elsevier, vol. 24(C), pages 68-78.
    5. Junyu He & George Christakos & Jiaping Wu & Piotr Jankowski & Andreas Langousis & Yong Wang & Wenwu Yin & Wenyi Zhang, 2019. "Probabilistic logic analysis of the highly heterogeneous spatiotemporal HFRS incidence distribution in Heilongjiang province (China) during 2005-2013," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 13(1), pages 1-28, January.
    6. Canelles, Q. & Aquilué, N. & Duane, A. & Brotons, L., 2019. "From stand to landscape: modelling post-fire regeneration and species growth," Ecological Modelling, Elsevier, vol. 404(C), pages 103-111.
    7. Kyung Youl Baek & Ho Gul Kim & Sung-Ho Kil, 2021. "Analysis of Changes in Suitable Habitat Areas of Paridae through Rooftop Greening Simulation—Case Study of Suwon-si, Gyeonggi-do, Republic of Korea," Sustainability, MDPI, vol. 13(8), pages 1-18, April.
    8. Abhinav Mehta & Shrey Rakholia & Reuven Yosef & Alap Bhatt & Shital Shukla, 2024. "Regional Sustainability through Dispersal and Corridor Use of Asiatic Lion Panthera leo persica in the Eastern Greater Gir Landscape," Sustainability, MDPI, vol. 16(6), pages 1-17, March.
    9. Shujuan Li & Hongyan Ren & Wensheng Hu & Liang Lu & Xinliang Xu & Dafang Zhuang & Qiyong Liu, 2014. "Spatiotemporal Heterogeneity Analysis of Hemorrhagic Fever with Renal Syndrome in China Using Geographically Weighted Regression Models," IJERPH, MDPI, vol. 11(12), pages 1-19, November.
    10. Zhang, Weixin & Yu, Yang & Wu, Xiuqin & Pereira, Paulo & Lucas Borja, Manuel Esteban, 2020. "Integrating preferences and social values for ecosystem services in local ecological management: A framework applied in Xiaojiang Basin Yunnan province, China," Land Use Policy, Elsevier, vol. 91(C).

    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:gam:jsusta:v:15:y:2023:i:10:p:7916-:d:1144981. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.