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NDVI Characteristics and Influencing Factors of Typical Ecosystems in the Semi-Arid Region of Northern China: A Case Study of the Hulunbuir Grassland

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  • Yating Zhao

    (State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
    School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin 300387, China
    Tianjin Key Laboratory of Water Resources and Environment, Tianjin Normal University, Tianjin 300387, China)

  • Chunming Hu

    (State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China)

  • Xi Dong

    (State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China)

  • Jun Li

    (Tianjin Key Laboratory of Water Resources and Environment, Tianjin Normal University, Tianjin 300387, China
    Academy of Eco-Civilization Development for Jing-Jin-Ji Megalopolis, Tianjin Normal University, Tianjin 300387, China)

Abstract

The semi-arid region of northern China is highly sensitive to environmental changes, especially the Hulunbuir Grassland, which has an essential ecological status and a fragile environment. This study focused on the NDVI characteristics of three different ecosystems and their dominant influencing factors. It proposed a method to show the immediate effects of factors influencing NDVI on a statistical level. The results showed that: (1) NDVI of floodplain wetland > NDVI of meadow > NDVI of sand ribbon. There were obvious differences among the three ecosystems, and the spatial distribution of NDVI was consistent with altitude. (2) The main explanatory factors were the phenological period, humidity, temperature, accumulated precipitation, runoff, and evaporation, which accounted for 68.8% of the total explanation. (3) Phenological period, humidity, and precipitation were positively correlated with NDVI. Temperature and evaporation had a positive effect on NDVI within a certain range. This study revealed the differences in environmental factors in different ecosystems, enriched the theory of NDVI influencing factors, and provided a scientific basis for future NDVI research and regional ecological conservation.

Suggested Citation

  • Yating Zhao & Chunming Hu & Xi Dong & Jun Li, 2023. "NDVI Characteristics and Influencing Factors of Typical Ecosystems in the Semi-Arid Region of Northern China: A Case Study of the Hulunbuir Grassland," Land, MDPI, vol. 12(3), pages 1-21, March.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:3:p:713-:d:1102316
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    References listed on IDEAS

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    1. Jie Yang & Zhiqiang Wan & Suld Borjigin & Dong Zhang & Yulong Yan & Yali Chen & Rui Gu & Qingzhu Gao, 2019. "Changing Trends of NDVI and Their Responses to Climatic Variation in Different Types of Grassland in Inner Mongolia from 1982 to 2011," Sustainability, MDPI, vol. 11(12), pages 1-12, June.
    2. Deyvis Cano & Carlos Cacciuttolo & Maria Custodio & Marcelo Nosetto, 2023. "Effects of Grassland Afforestation on Water Yield in Basins of Uruguay: A Spatio-Temporal Analysis of Historical Trends Using Remote Sensing and Field Measurements," Land, MDPI, vol. 12(1), pages 1-21, January.
    3. Zhanyong Fu & Fei Wang & Zhaohua Lu & Meng Zhang & Lin Zhang & Wenyue Hao & Ling Zhao & Yang Jiang & Bing Gao & Rui Chen & Bingjie Wang, 2021. "Community Differentiation and Ecological Influencing Factors along Environmental Gradients: Evidence from 1200 km Belt Transect across Inner Mongolia Grassland, China," Sustainability, MDPI, vol. 14(1), pages 1-14, December.
    4. Maomao Zhang & Abdulla-Al Kafy & Bing Ren & Yanwei Zhang & Shukui Tan & Jianxing Li, 2022. "Application of the Optimal Parameter Geographic Detector Model in the Identification of Influencing Factors of Ecological Quality in Guangzhou, China," Land, MDPI, vol. 11(8), pages 1-20, August.
    5. Bo Yao & Lei Ma & Hongtao Si & Shaohua Li & Xiangwen Gong & Xuyang Wang, 2023. "Spatial Pattern of Changing Vegetation Dynamics and Its Driving Factors across the Yangtze River Basin in Chongqing: A Geodetector-Based Study," Land, MDPI, vol. 12(2), pages 1-21, January.
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