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Effects of Artificial Green Land on Land–Atmosphere Interactions in the Taklamakan Desert

Author

Listed:
  • Silalan Abudukade

    (College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830017, China
    Xinjiang Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830017, China)

  • Fan Yang

    (Institute of Desert Meteorology, China Meteorological Administration, Urumqi 830002, China
    National Observation and Research Station of Desert Meteorology, Taklimakan Desert of Xinjiang, Taklimakan Desert Meteorology Field Experiment Station of China Meteorological Administration, Xinjiang Key Laboratory of Desert Meteorology and Sandstorm, Urumqi 830002, China
    Key Laboratory of Tree-Ring Physical and Chemical Research, China Meteorological Administration, Urumqi 830002, China)

  • Yongqiang Liu

    (College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830017, China
    Xinjiang Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830017, China)

  • Ali Mamtimin

    (Institute of Desert Meteorology, China Meteorological Administration, Urumqi 830002, China
    National Observation and Research Station of Desert Meteorology, Taklimakan Desert of Xinjiang, Taklimakan Desert Meteorology Field Experiment Station of China Meteorological Administration, Xinjiang Key Laboratory of Desert Meteorology and Sandstorm, Urumqi 830002, China
    Key Laboratory of Tree-Ring Physical and Chemical Research, China Meteorological Administration, Urumqi 830002, China)

  • Jiacheng Gao

    (Institute of Desert Meteorology, China Meteorological Administration, Urumqi 830002, China
    National Observation and Research Station of Desert Meteorology, Taklimakan Desert of Xinjiang, Taklimakan Desert Meteorology Field Experiment Station of China Meteorological Administration, Xinjiang Key Laboratory of Desert Meteorology and Sandstorm, Urumqi 830002, China
    Key Laboratory of Tree-Ring Physical and Chemical Research, China Meteorological Administration, Urumqi 830002, China)

  • Mingjie Ma

    (Institute of Desert Meteorology, China Meteorological Administration, Urumqi 830002, China
    National Observation and Research Station of Desert Meteorology, Taklimakan Desert of Xinjiang, Taklimakan Desert Meteorology Field Experiment Station of China Meteorological Administration, Xinjiang Key Laboratory of Desert Meteorology and Sandstorm, Urumqi 830002, China
    Key Laboratory of Tree-Ring Physical and Chemical Research, China Meteorological Administration, Urumqi 830002, China)

  • Wenbiao Wang

    (Elion Resources Group Co., Ltd., NO. 15 Guanghua Road, Chaoyang District, Beijing 100026, China)

  • Zhengnan Cui

    (Elion Resources Group Co., Ltd., NO. 15 Guanghua Road, Chaoyang District, Beijing 100026, China)

  • Yu Wang

    (Institute of Desert Meteorology, China Meteorological Administration, Urumqi 830002, China
    National Observation and Research Station of Desert Meteorology, Taklimakan Desert of Xinjiang, Taklimakan Desert Meteorology Field Experiment Station of China Meteorological Administration, Xinjiang Key Laboratory of Desert Meteorology and Sandstorm, Urumqi 830002, China
    Key Laboratory of Tree-Ring Physical and Chemical Research, China Meteorological Administration, Urumqi 830002, China)

  • Kun Zhang

    (College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830017, China
    Xinjiang Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830017, China)

  • Meiqi Song

    (Institute of Desert Meteorology, China Meteorological Administration, Urumqi 830002, China
    National Observation and Research Station of Desert Meteorology, Taklimakan Desert of Xinjiang, Taklimakan Desert Meteorology Field Experiment Station of China Meteorological Administration, Xinjiang Key Laboratory of Desert Meteorology and Sandstorm, Urumqi 830002, China
    Key Laboratory of Tree-Ring Physical and Chemical Research, China Meteorological Administration, Urumqi 830002, China)

  • Jiantao Zhang

    (Institute of Desert Meteorology, China Meteorological Administration, Urumqi 830002, China
    National Observation and Research Station of Desert Meteorology, Taklimakan Desert of Xinjiang, Taklimakan Desert Meteorology Field Experiment Station of China Meteorological Administration, Xinjiang Key Laboratory of Desert Meteorology and Sandstorm, Urumqi 830002, China
    Key Laboratory of Tree-Ring Physical and Chemical Research, China Meteorological Administration, Urumqi 830002, China)

Abstract

Land–atmosphere interactions are influenced by the earth’s complex underlying subsurface, which in turn indirectly affects atmospheric motion and climate change. Human activities are increasingly exerting an influence on desert ecosystems, and artificial green land with clear functional orientation has been established in many desert areas. Consequently, the previously dominant, shifting, sand-covered, underlying surface in these desert regions is gradually transforming. This transformation has significant implications for the characteristics of land–atmosphere interactions, causing them to deviate from their original state. At present, existing studies still have not presented a systematic understanding of this change and have ignored the impact of human activities on land–atmosphere interactions in artificial green land. To address these research gaps, this study specifically targets artificial green land in the Tazhong region of Taklamakan Desert. We carried out observation experiments on land–atmosphere interactions in three different functional units from outside to inside: natural shifting sands, the shelter forest, and the living area. We also analyzed the differences and attribution of land–atmosphere interactions characteristics of different functional units. Compared with the natural shifting sands, the daily average maximum values of wind speed in the shelter forest decreased by 78%, and the daily average maximum air temperature and soil (0 cm) temperature decreased by 2.6 °C and 7 °C, respectively. Additionally, the soil moisture level was significantly increased throughout the green land due to the shelter forest. The surface albedo experienced a decrease, with an annual average of 0.21. Furthermore, the aerodynamic roughness and bulk transport coefficient increased by two orders of magnitude. The daily average maximum values of sensible heat flux and soil heat flux (G 05 ) decreased by 18.7% and 75%, respectively, and the daily average maximum value of latent heat flux increased by 70.3%. This effectively improved the microclimate environment of the green land. The living area was greatly reduced by the shelter forest coverage and influenced by the buildings. Consequently, the environmental improvement was not as large as it was inside the shelter forest. However, it still provided a good shelter for production and living in the desert area. Throughout the year, a total of 4.60 × 10 5 t water was consumed through evapotranspiration in the artificial green land. The findings of this study have the potential to enhance our comprehension of land–atmosphere interactions in desert regions, thereby offering valuable insights for the establishment and effective management of artificial desert green lands.

Suggested Citation

  • Silalan Abudukade & Fan Yang & Yongqiang Liu & Ali Mamtimin & Jiacheng Gao & Mingjie Ma & Wenbiao Wang & Zhengnan Cui & Yu Wang & Kun Zhang & Meiqi Song & Jiantao Zhang, 2023. "Effects of Artificial Green Land on Land–Atmosphere Interactions in the Taklamakan Desert," Land, MDPI, vol. 12(8), pages 1-19, August.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:8:p:1541-:d:1209913
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