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The Spatio-Temporal Evolution of the Soil Conservation Function of Ecosystems in the North–South Transition Zone in China: A Case Study of the Qinling-Daba Mountains

Author

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  • Zhengyang Li

    (Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China
    University of the Chinese Academy of Sciences, Beijing 100049, China)

  • Yafeng Lu

    (Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China)

  • Yukuan Wang

    (Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China)

  • Jia Liu

    (Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China
    University of the Chinese Academy of Sciences, Beijing 100049, China
    Climate Center of Sichuan Province/Heavy Rain and Drought-Flood Disasters in Plateau and Basin Key Laboratory of Sichuan Province, Chengdu 610072, China)

Abstract

Maintaining and improving the soil conservation function of an ecosystem is of positive significance to the sustainable and stable development of that ecosystem. We used the RUSLE model to evaluate the soil conservation function of the Qinling-Daba Mountains from 1982, 1995, 2005, and 2015 in order to analyze the spatio-temporal evolution characteristics of soil conservation. Our conclusions are as follows: (1) During the study period, the amount of average actual soil erosion in the Qinling-Daba Mountains was 955.39 × 10 8 t, the amount of actual soil erosion fluctuated greatly from year after year, there were obvious spatial aggregation and temporal and spatial transfer phenomena, and there was serious soil nutrient loss in the east. (2) From 1982 to 2015, soil conservation in the Qinling-Daba Mountains increased by 27.75 × 10 8 t during fluctuations. The soil conservation was negatively correlated with elevation and slope, and was positively correlated with vegetation coverage. (3) The average soil conservation of forest ecosystems and farmland ecosystems accounts for 78.11% of the total soil conservation, but there are differences in the ways in which to achieve soil conservation function. The order for soil conservation function of different vegetation types is crops > shrub > broad-leaved forest > coniferous forest > grass > meadow > grassland > coniferous and broad-leaved mixed forest > alpine plant > swamp. (4) The average retention of N , P and K elements in soil were 75.57 × 10 4 t, 25.35 × 10 4 t and 737.28 × 10 4 t, respectively. The soil elements had the consistency of spatial difference in spatial distribution and were time scaled. The soil nutrient loss in the eastern region is serious. Shrubs, broadleaf forests and crops have the greatest effect on soil nutrient retention. Alpine plants retain the greatest amount of soil nutrients per unit area. Therefore, the establishment of reasonable soil conservation strategies and scientific vegetation interplanting measures will help to enhance the soil conservation function of the Qinling-Daba Mountains ecosystem and improve the ecosystem production capacity.

Suggested Citation

  • Zhengyang Li & Yafeng Lu & Yukuan Wang & Jia Liu, 2022. "The Spatio-Temporal Evolution of the Soil Conservation Function of Ecosystems in the North–South Transition Zone in China: A Case Study of the Qinling-Daba Mountains," Sustainability, MDPI, vol. 14(10), pages 1-19, May.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:10:p:5829-:d:813360
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    References listed on IDEAS

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    1. David Pimentel, 2006. "Soil Erosion: A Food and Environmental Threat," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 8(1), pages 119-137, February.
    2. Dan Wu & Changxin Zou & Wei Cao & Lulu Liu, 2018. "Analysis of the Ecosystem Soil Conservation Function Based on the Major Function-Oriented Zones across the Yangtze River Economic Belt, China," Sustainability, MDPI, vol. 10(10), pages 1-15, September.
    3. Zhang, Xiaotao & Kang, Shaozhong & Zhang, Lu & Liu, Junqi, 2010. "Spatial variation of climatology monthly crop reference evapotranspiration and sensitivity coefficients in Shiyang river basin of northwest China," Agricultural Water Management, Elsevier, vol. 97(10), pages 1506-1516, October.
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    Cited by:

    1. Chao Liu & Han Li & Jiuzhe Xu & Weijun Gao & Xiang Shen & Sheng Miao, 2023. "Applying Convolutional Neural Network to Predict Soil Erosion: A Case Study of Coastal Areas," IJERPH, MDPI, vol. 20(3), pages 1-21, January.

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