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Modeling soil–water dynamics and soil–water carrying capacity for vegetation on the Loess Plateau, China

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  • Liu, Bingxia
  • Shao, Ming’an

Abstract

The conflict between soil desiccation and the sustainable development of revegetation is increasingly important on the Loess Plateau in China. Quantitative guidelines for the selection of plant species, optimal density or biomass, and appropriate management for vegetative restoration are required to address this conflict. The objective of the study is to simulate soil–water dynamics with using the one-dimensional Simultaneous Heat and Water Transfer (SHAW) model to assess consumption process of soil water with growth of caragana and alfalfa and there optimal carrying capacity. Soil and plant parameters required by the SHAW model were calibrated and validated with meteorological and soil–water data from 2004 to 2005 and 2012, respectively. The data from the calibration and verification trials for soil water content were significantly linearly correlated based on a 95% confidence level and had average root mean square errors of 1.06 and 5.71% for caragana and 0.88 and 1.14% for alfalfa, respectively. The SHAW model was thus sufficiently accurate for simulating soil–water dynamics during 2005–2011 in response to plant growing and corresponding changes in biomass. The simulations indicated that soil water decreased within 1.0–4.0m profiles and that the depth of water depletion deepened with plant growth after vegetative restoration. Dry soil layers (DSLs) began to develop below 1.0 m after five years for caragana and after three years for alfalfa. The optimal ages of the caragana and alfalfa in the study area were thus five and three years, respectively, and the corresponding soil water carrying capacities that were maximum biomasses were 4800kg/hm2 and 1380kg/hm2, respectively. These results provide useful information for designing appropriate practices of vegetative restoration to attain sustainable ecological and economic benefits on the Loess Plateau.

Suggested Citation

  • Liu, Bingxia & Shao, Ming’an, 2015. "Modeling soil–water dynamics and soil–water carrying capacity for vegetation on the Loess Plateau, China," Agricultural Water Management, Elsevier, vol. 159(C), pages 176-184.
  • Handle: RePEc:eee:agiwat:v:159:y:2015:i:c:p:176-184
    DOI: 10.1016/j.agwat.2015.06.019
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    References listed on IDEAS

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    1. Xia, Y.Q. & Shao, M.A., 2008. "Soil water carrying capacity for vegetation: A hydrologic and biogeochemical process model solution," Ecological Modelling, Elsevier, vol. 214(2), pages 112-124.
    2. Huang, Mingbin & Gallichand, Jacques, 2006. "Use of the SHAW model to assess soil water recovery after apple trees in the gully region of the Loess Plateau, China," Agricultural Water Management, Elsevier, vol. 85(1-2), pages 67-76, September.
    3. Dongli She & Dongdong Liu & Yongqiu Xia & Ming’an Shao, 2014. "Modeling Effects of Land use and Vegetation Density on Soil Water Dynamics: Implications on Water Resource Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(7), pages 2063-2076, May.
    4. Kang, Shaozhong & Gu, Binjie & Du, Taisheng & Zhang, Jianhua, 2003. "Crop coefficient and ratio of transpiration to evapotranspiration of winter wheat and maize in a semi-humid region," Agricultural Water Management, Elsevier, vol. 59(3), pages 239-254, April.
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    1. Liu, Bingxia & Jia, Xiaoxu & Shao, Ming'an & Jia, Yuhua, 2022. "Assessing soil water recovery after converting planted shrubs and grass to natural grass in the northern Loess Plateau of China," Agricultural Water Management, Elsevier, vol. 264(C).
    2. Huang, Zhenyu & Zhang, Junxiao & Ren, Dongyang & Hu, Jiaqi & Xia, Guimin & Pan, Baozhu, 2022. "Modeling and assessing water and nitrogen use and crop growth of peanut in semi-arid areas of Northeast China," Agricultural Water Management, Elsevier, vol. 267(C).
    3. Dexi Zhan & Yongqi Mu & Wenxu Duan & Mingzhu Ye & Yingqiang Song & Zhenqi Song & Kaizhong Yao & Dengkuo Sun & Ziqi Ding, 2023. "Spatial Prediction and Mapping of Soil Water Content by TPE-GBDT Model in Chinese Coastal Delta Farmland with Sentinel-2 Remote Sensing Data," Agriculture, MDPI, vol. 13(5), pages 1-19, May.

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