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Distribution of Shrubland and Grassland Soil Erodibility on the Loess Plateau

机译:黄土高原灌丛和草地土壤侵蚀性分布

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摘要

Soil erosion is one of the most severe problems facing environments and has increased throughout the 20th century. Soil erodibility (K-factor) is one of the important indicators of land degradation, and many models have been used to estimate K values. Although soil erodibility has been estimated, the comparison of different models and their usage at a regional scale and, in particular, for different land use types, need more research. Four of the most widely distributed land use types were selected to analyze, including introduced and natural grassland, as well as introduced and natural shrubland. Soil particle size, soil organic matter and other relevant soil properties were measured to estimate soil erodibility in the Loess Plateau. The results show that: (1) the erosion productivity impact calculator (EPIC) model and SHIRAZI model are both suitable for the Loess Plateau, while the SHIRAZI model has the advantage of fewer parameters; (2) introduced grassland has better ability to protect both the 0–5 cm soils and 5–20 cm soils, while the differences between introduced and natural shrubland are not obvious at a catchment scale; (3) the K values of introduced grassland, natural grassland, introduced shrubland and natural shrubland in the 0–5 cm layer vary from 0.008 to 0.037, 0.031 to 0.046, 0.012 to 0.041 and 0.008 to 0.045 (t·hm2·h/(MJ·mm·hm2)), while the values vary from 0.009 to 0.039, 0.032 to 0.046, 0.012 to 0.042 and 0.008 to 0.048 (t·hm2·h/(MJ·mm·hm2)) in the 5–20 cm layer. The areas with a mean multiyear precipitation of 370–440 mm are the most important places for vegetation restoration construction management at a regional scale. A comprehensive balance between water conservation and soil conservation is needed and important when selecting the species used to vegetation restoration. This study provides suggestions for ecological restoration and provides a case study for the estimate of soil erodibility in arid and semiarid areas.
机译:水土流失是环境面临的最严重的问题之一,并且在整个20世纪都在加剧。土壤易蚀性(K因子)是土地退化的重要指标之一,许多模型已用于估算K值。尽管已经估计了土壤易蚀性,但是在区域范围内,特别是针对不同土地利用类型的不同模型及其用法的比较,还需要更多的研究。选择了分布最广泛的四种土地利用类型进行分析,包括引入的和天然的草地,以及引入的和天然的灌木地。测量土壤粒度,土壤有机质和其他相关的土壤特性,以估算黄土高原的土壤易蚀性。结果表明:(1)侵蚀生产率影响计算器(EPIC)模型和SHIRAZI模型均适用于黄土高原,而SHIRAZI模型具有参数少的优点; (2)引入的草地对0-5 cm和5-20 cm的土壤都有更好的保护能力,而引入和天然灌木林在集水区规模上的差异并不明显; (3)0-5 cm层的引入草地,天然草地,引入灌木丛和天然灌木丛的K值在0.008至0.037、0.031至0.046、0.012至0.041和0.008至0.045之间变化(t·hm 2 ·h /(MJ·mm·hm 2 )),而值从0.009到0.039、0.032到0.046、0.012到0.042和0.008到0.048(t·hm 2 ·h /(MJ·mm·hm 2 ))。多年平均降水量在370-440毫米的地区是区域范围内植被恢复建设管理的最重要场所。在选择用于植被恢复的物种时,需要在水源保护和土壤保护之间实现全面平衡,这一点很重要。这项研究为生态恢复提供了建议,并为估算干旱和半干旱地区的土壤易蚀性提供了案例研究。

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