Soil Texture and its Relationship with Environmental Factors on the Qinghai-Tibet Plateau
Soil texture data are the basic input parameters for many earth models. As the largest middle-low altitude permafrost regions, the land surface processes on the Qinghai-Tibetan Plateau can affect regional and even global water and energy cycle. However, spatial distribution of soil texture data on the plateau is largely unavailable due to the difficulty in obtaining field data. Here, based on collection data from field surveys and environmental factors, we predicted the spatial distribution of clay,silt and sand contents at 1 km resolution from 0–5, 5–15, 15–30, 30–60, 60–100 and 100–200 cm soil layers. The random forest models were constructed to predict the soil texture according to the relationships between environmental factors and soil texture data. The results showed that the soil particles of the QTP is dominated by sand, which account for more than 70% of the total particles. For the spatial distribution, silt and clay contents were high in the southeast plateau, and the low values of silt and clay mainly appeared in the northwest plateau. That climate and NDVI values were the most important factors affecting the spatial distribution of soil texture on the QTP. The results of this study provide the soil texture data for different depth for the whole plateau scale at a spatial resolution of 1 km, and the dataset can be used as a input parameter for many earth models.Soil texture data are the basic input parameters for many earth models. As the largest middle-low altitude permafrost regions, the land surface processes on the Qinghai-Tibetan Plateau can affect regional and even global water and energy cycle. However, spatial distribution of soil texture data on the plateau is largely unavailable due to the difficulty in obtaining field data. Here, based on collection data from field surveys and environmental factors, we predicted the spatial distribution of clay,silt and sand contents at 1 km resolution from 0–5, 5–15, 15–30, 30–60, 60–100 and 100–200 cm soil layers. The random forest models were constructed to predict the soil texture according to the relationships between environmental factors and soil texture data. The results showed that the soil particles of the QTP is dominated by sand, which account for more than 70% of the total particles. For the spatial distribution, silt and clay contents were high in the southeast plateau, and the low values of silt and clay mainly appeared in the northwest plateau. That climate and NDVI values were the most important factors affecting the spatial distribution of soil texture on the QTP. The results of this study provide the soil texture data for different depth for the whole plateau scale at a spatial resolution of 1 km, and the dataset can be used as a input parameter for many earth models
Year of publication: |
[2022]
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Authors: | liu, yadong ; Wu, Xiadong ; wu, tonghua ; zhao, lin ; li, ren ; li, wangping ; hu, guojie ; zou, defu ; ni, jie ; du, yizhen ; wei, xianhua ; yan, xuchun |
Publisher: |
[S.l.] : SSRN |
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