Spatial distribution of water-active soil layer along the south-north transect in the Loess Plateau

来源 :干旱区科学 | 被引量 : 0次 | 上传用户:asunsky1
下载到本地 , 更方便阅读
声明 : 本文档内容版权归属内容提供方 , 如果您对本文有版权争议 , 可与客服联系进行内容授权或下架
论文部分内容阅读
Soil water is an important composition of water recycle in the soil-plant-atmosphere continuum.However,intense water exchange between soil-plant and soil-atmosphere interfaces only occurs in a certain layer of the soil profile.For deep insight into water active layer (WAL,defined as the soil layer with a coefficient of variation in soil water content >10% in a given time domain) in the Loess Plateau of China,we measured soil water content (SWC) in the 0.0-5.0 m soil profile from 86 sampling sites along an approximately 860-km long south-north transect during the period 2013-2016.Moreover,a dataset contained four climatic factors (mean annual precipitation,mean annual evaporation,annual mean temperature and mean annual dryness index) and five local factors (altitude,slope gradient,land use,clay content and soil organic carbon) of each sampling site was obtained.In this study,three WAL indices (WAL-T (the thickness of WAL),WAL-CV (the mean coefficient of variation in SWC within WAL) and WAL-SWC (the mean SWC within WAL)) were used to evaluate the characteristics of WAL.The results showed that with increasing latitude,WAL-T and WAL-CV increased firstly and then decreased.WAL-SWC showed an opposite distribution patt along the south-north transect compared with WAL-T and WAL-CV.Average WAL-T of the transect was 2.0 m,suggesting intense soil water exchange in the 0.0-2.0 m soil layer in the study area.Soil water exchange was deeper and more intense in the middle region than in the south and north regions,with the values of WAL-CV and WAL-T being 27.3% and 4.3 m in the middle region,respectively.Both climatic (10.1%) and local (4.9%) factors influenced the indices of WAL,with climatic factors having a more dominant effect.Compared with multiple linear regressions,pedotransfer functions (PTFs) from artificial neural network can better estimate the WAL indices.PTFs developed by artificial neural network respectively explained 86%,81% and 64% of the total variations in WAL-T,WAL-SWC and WAL-CV.Knowledge of WAL is crucial for understanding the regional water budget and evaluating the stable soil water reserve,regional water characteristics and eco-hydrological processes in the Loess Plateau of China.
其他文献
期刊
Drought acutely affects economic sectors,natural habitats and communities.Understanding the past spatial and temporal patts of drought is crucial because it fac
The aims of this study were to explore the interspecific differences of Populus euphratica Oliv.and Populus pruinosa Schrenk populations and the intraspecific d
Determination of the threshold shear velocity is essential for predicting sand transport,dust release and desertification.In this study,a wind tunnel experiment
Low-carbon economic development is a strategy that is emerging in response to global climate change.Being the third-largest energy base in the world,Central Asi
The Alagxa Plateau,in the margin of the northeast Tibetan Plateau,is one of the most important dust source areas in East Asia,and the widespread sandy desert in
期刊
Soil water content (SWC) is a key factor limiting ecosystem sustainability in arid and semi-arid areas of the Hexi Corridor of China,which is characterized by a
The water deficit in arid and semi-arid regions is the primary limiting factor for the development of urban greenery and forestation.In addition,planting the sp
Although exogenous application of glycinebetaine (GB) is widely reported to regulate a myriad of physio-biochemical attributes in plants under stressful environ