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Spatiotemporal Dynamics of Vegetation Net Primary Productivity and Its Response to Climate Change in Inner Mongolia from 2002 to 2019

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  • Lei Hao

    (College of Resources and Environmental Economics, Inner Mongolia University of Finance and Economics, Hohhot 010070, China
    Resource Utilization and Environmental Protection Coordinated Development Academician Expert Workstation in the North of China, Inner Mongolia University of Finance and Economics, Hohhot 010070, China)

  • Shan Wang

    (College of Resources and Environmental Economics, Inner Mongolia University of Finance and Economics, Hohhot 010070, China
    Resource Utilization and Environmental Protection Coordinated Development Academician Expert Workstation in the North of China, Inner Mongolia University of Finance and Economics, Hohhot 010070, China)

  • Xiuping Cui

    (College of Resources and Environmental Economics, Inner Mongolia University of Finance and Economics, Hohhot 010070, China
    Resource Utilization and Environmental Protection Coordinated Development Academician Expert Workstation in the North of China, Inner Mongolia University of Finance and Economics, Hohhot 010070, China)

  • Yongguang Zhai

    (College of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China)

Abstract

Understanding vegetation dynamics and their responses to climate change are essential to enhance the carbon sequestration of the terrestrial ecosystem under global warming. Although some studies have identified that there is a close relationship between vegetation net primary productivity and climate change, it is unclear whether this response exists in ecologically fragile areas, especially in Inner Mongolia, in which multiple ecological ecotones are related to vegetation types. This study uses the Carnegie–Ames–Stanford Approach (CASA) model to estimate vegetation NPP in Inner Mongolia from 2002 to 2019 and focuses on the spatial and temporal changes of NPP of different vegetation types and their responses to three typical climate factors: precipitation, temperature, and solar radiation. The results show that the NPP estimated by the CASA model agrees well with the observed NPP (R 2 = 0.66, p < 0.001). The vegetation NPP in Inner Mongolia decreases gradually from northeast to southwest, and the average NPP is 223.50 gC ∙ m −2 . From 2002 to 2019, the NPP of all vegetation types trended upward, but exhibiting different rates. The vegetation types, ranked in order of decreasing NPP, are forest, cropland, grassland, and desert. The NPP response of different vegetation types to climate factors possesses significant differences. The cropland NPP and grassland NPP are mainly affected by precipitation, the desert NPP is controlled by both precipitation and solar radiation, and the forest NPP is determined by all three climate factors.

Suggested Citation

  • Lei Hao & Shan Wang & Xiuping Cui & Yongguang Zhai, 2021. "Spatiotemporal Dynamics of Vegetation Net Primary Productivity and Its Response to Climate Change in Inner Mongolia from 2002 to 2019," Sustainability, MDPI, vol. 13(23), pages 1-16, December.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:23:p:13310-:d:692900
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    References listed on IDEAS

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    Cited by:

    1. Yanqin Xu & Shuai Han & Chunxiang Shi & Rui Tao & Jiaojiao Zhang & Yu Zhang & Zheng Wang, 2023. "Comparative Analysis of Three Near-Surface Air Temperature Reanalysis Datasets in Inner Mongolia Region," Sustainability, MDPI, vol. 15(17), pages 1-21, August.
    2. Fengjin Xiao & Qiufeng Liu & Yuqing Xu, 2022. "Estimation of Terrestrial Net Primary Productivity in the Yellow River Basin of China Using Light Use Efficiency Model," Sustainability, MDPI, vol. 14(12), pages 1-15, June.
    3. Linye Zhu & Mingming Shi & Deqin Fan & Kun Tu & Wenbin Sun, 2023. "Analysis of Changes in Vegetation Carbon Storage and Net Primary Productivity as Influenced by Land-Cover Change in Inner Mongolia, China," Sustainability, MDPI, vol. 15(6), pages 1-18, March.
    4. Hui Zhang & Juan Fan & Di Gao & Yulin Liu & Huishi Du, 2022. "Effect of Decreasing the Interception of Solar Illuminance by Vegetation on Ground Temperature in Degraded Grasslands," Sustainability, MDPI, vol. 14(8), pages 1-18, April.

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