Determining the spatial distribution of soil properties using the environmental covariates and multi

来源 :干旱区科学 | 被引量 : 0次 | 上传用户:fyzqi210
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
Natural soil-forming factors such as landforms,parent materials or biota lead to high variability in soil properties.However,there is not enough research quantifying which environmental factor(s) can be the most relevant to predicting soil properties at the catchment scale in semi-arid areas.Thus,this research aims to investigate the ability of multivariate statistical analyses to distinguish which soil properties follow a clear spatial patt conditioned by specific environmental characteristics in a semi-arid region of Iran.To achieve this goal,we digitized parent materials and landforms by recent orthophotography.Also,we extracted ten topographical attributes and five remote sensing variables from a digital elevation model (DEM) and the Landsat Enhanced Thematic Mapper (ETM),respectively.These factors were contrasted for 334 soil samples (depth of 0-30 cm).Cluster analysis and soil maps reveal that Cluster 1 comprises of limestones,massive limestones and mixed deposits of conglomerates with low soil organic carbon (SOC) and clay contents,and Cluster 2 is composed of soils that originated from quatary and early quatary parent materials such as terraces,alluvial fans,lake deposits,and marls or conglomerates that register the highest SOC content and the lowest sand and silt contents.Further,it is confirmed that soils with the highest SOC and clay contents are located in wetlands,lagoons,alluvial fans and piedmonts,while soils with the lowest SOC and clay contents are located in dissected alluvial fans,eroded hills,rock outcrops and steep hills.The results of principal component analysis using the remote sensing data and topographical attributes identify five main components,which explain 73.3% of the total variability of soil properties.Environmental factors such as hillslope morphology and all of the remote sensing variables can largely explain SOC variability,but no significant correlation is found for soil texture and calcium carbonate equivalent contents.Therefore,we conclude that SOC can be considered as the best-predicted soil property in semi-arid regions.
其他文献
The countries of Central Asia are collectively known as the five -stans:Uzbekistan,Kyrgyzstan,Turkmenistan,Tajikistan and Kazakhstan.In recent times,the Central
This study explored the hydrological and economic feasibility of managed aquifer recharge (MAR) using tertiary treated wastewater (TWW) to mitigate salinity in
Mountain glaciers are highly sensitive to climate change.In this paper,we systematically analyzed and discussed the responses of glaciers to climate change duri
Yardangs are typical aeolian erosion landforms, which are attracting more and more attention of geomorphologists and geologists for their various morphology and enigmatic formation mechanisms. In orde
期刊
Snowfall is one of the dominant water resources in the mountainous regions and is closely related to the development of the local ecosystem and economy.Snowfall
The adaption of photosynthesis,being a key metabolic process,plays an important role in plant resistance to air drought.In this study,the Siberian crabapple (Ma
Remote sensing tools are becoming increasingly important for providing spatial information on water use by different ecosystems.Despite significant advances in
期刊
Vegetation roots contribute to soil fixation and reinforcement,thus improving soil resistance against erosion.Generally,the amount of soil fixation presented by
期刊