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Predicted Distribution of Locoweed Oxytropis glabra in China under Climate Change

Author

Listed:
  • Ruijie Huang

    (Department of Animal Husbandry and Fisheries, Guizhou Vocational College of Agriculture, Qingzhen 551400, China
    College of Veterinary Medicine, Northwest A&F University, Yangling 712100, China)

  • Chenchen Wu

    (College of Veterinary Medicine, Northwest A&F University, Yangling 712100, China)

  • Hao Lu

    (College of Veterinary Medicine, Northwest A&F University, Yangling 712100, China)

  • Xuemei Wu

    (Department of Animal Husbandry and Fisheries, Guizhou Vocational College of Agriculture, Qingzhen 551400, China
    College of Veterinary Medicine, Northwest A&F University, Yangling 712100, China)

  • Baoyu Zhao

    (College of Veterinary Medicine, Northwest A&F University, Yangling 712100, China)

Abstract

The research on the significant toxic weed Oxytropis glabra , which adversely affects the grazing industry and the ecological integrity of natural grasslands in the arid and semi-arid regions of northern China, aims to delineate its potential distribution amidst changing climate conditions. This analysis involves both current conditions (1970–2000) and future projections (2050s and 2070s) under four climate scenarios using an R-optimized MaxEnt model. The results indicate that the distribution of O. glabra was primarily influenced by the temperature of the coldest quarter (bio11, ranging from −12.04 to −0.07 °C), precipitation of the coldest quarter (bio19, 0 to 15.17 mm), and precipitation of the warmest quarter (bio18, 0 to 269.50 mm). Currently, the weed predominantly occupies parts of Xinjiang, Inner Mongolia, Gansu, Qinghai, Ningxia, and Tibet. Projections indicate that, across four future climate scenarios, the area of suitable habitats for O. glabra is expected to expand and shift toward higher latitudes and elevations. The research provides valuable information and a theoretical foundation for the management of O. glabra , alongside advancing grassland ecological research and grazing practices.

Suggested Citation

  • Ruijie Huang & Chenchen Wu & Hao Lu & Xuemei Wu & Baoyu Zhao, 2024. "Predicted Distribution of Locoweed Oxytropis glabra in China under Climate Change," Agriculture, MDPI, vol. 14(6), pages 1-13, May.
    • Handle: RePEc:gam:jagris:v:14:y:2024:i:6:p:850-:d:1404309
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    References listed on IDEAS

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    1. Yuncheng Zhao & Mingyue Zhao & Lei Zhang & Chunyi Wang & Yinlong Xu, 2021. "Predicting Possible Distribution of Tea ( Camellia sinensis L.) under Climate Change Scenarios Using MaxEnt Model in China," Agriculture, MDPI, vol. 11(11), pages 1-18, November.
    2. Zeng, Yiwen & Low, Bi Wei & Yeo, Darren C.J., 2016. "Novel methods to select environmental variables in MaxEnt: A case study using invasive crayfish," Ecological Modelling, Elsevier, vol. 341(C), pages 5-13.
    3. Fois, Mauro & Cuena-Lombraña, Alba & Fenu, Giuseppe & Bacchetta, Gianluigi, 2018. "Using species distribution models at local scale to guide the search of poorly known species: Review, methodological issues and future directions," Ecological Modelling, Elsevier, vol. 385(C), pages 124-132.
    4. Sillero, Neftalí, 2011. "What does ecological modelling model? A proposed classification of ecological niche models based on their underlying methods," Ecological Modelling, Elsevier, vol. 222(8), pages 1343-1346.
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