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路易斯安那流域土壤有机碳的地形效应

Topographic effects on soil organic carbon in louisiana watersheds.

作者信息

Zhong Biao, Xu Y Jun

机构信息

School of Renewable Natural Resources, Louisiana State University Agricultural Center, Baton Rouge, LA 70803, USA.

出版信息

Environ Manage. 2009 Apr;43(4):662-72. doi: 10.1007/s00267-008-9182-7. Epub 2008 Aug 14.

Abstract

Terrestrial carbon storage is influenced by a number of environmental factors, among which topographic and geomorphological features are of special significance. This study was designed to examine the relationships of soil organic carbon (SOC) density to various terrain parameters and watershed characteristics across Louisiana, USA. A polygon data set of 484 watersheds and 12 river drainage basins for Louisiana was used to form the landscape units. SOC densities were calculated for each soil map unit using the State Soil Geographic (STATSGO) database. Average drainage densities and average slopes at watershed and basin scales were quantified with the 1:24 K Digital Elevation Models (DEM) data, and the Louisiana hydrographic water features. Correlation and regression analyses were performed to determine relationships among drainage density, slope, elevation, and SOC. The study found an average watershed drainage density of 1.6 km/km(2) and an average watershed slope of 2.9 degrees in Louisiana. The results revealed that SOC density at both watershed and basin scales was closely related to drainage density, slope, and elevation. SOC density was positively correlated with watershed drainage density, but negatively correlated with watershed slope gradient and elevation. Regression models were developed for predicting SOC density at watershed and basin scales, obtaining regression coefficients (r (2)) ranging from 0.43 to 0.83. The study showed that estimation of SOC at watershed and drainage basin scales combining DEM data can be a feasible approach to improve the understanding of the relationships among SOC, topographic, and geomorphological features.

摘要

陆地碳储量受多种环境因素影响,其中地形地貌特征具有特殊意义。本研究旨在考察美国路易斯安那州土壤有机碳(SOC)密度与各种地形参数及流域特征之间的关系。利用路易斯安那州484个流域和12个河流流域的多边形数据集来形成景观单元。使用国家土壤地理(STATSGO)数据库计算每个土壤图单元的SOC密度。利用1:24K数字高程模型(DEM)数据和路易斯安那州水文水系特征,对流域和盆地尺度的平均排水密度和平均坡度进行了量化。进行了相关性和回归分析,以确定排水密度、坡度、海拔和SOC之间的关系。研究发现,路易斯安那州流域平均排水密度为1.6 km/km²,流域平均坡度为2.9度。结果表明,流域和盆地尺度的SOC密度与排水密度、坡度和海拔密切相关。SOC密度与流域排水密度呈正相关,但与流域坡度梯度和海拔呈负相关。建立了用于预测流域和盆地尺度SOC密度的回归模型,得到的回归系数(r²)范围为0.43至0.83。研究表明,结合DEM数据估算流域和流域尺度的SOC是一种可行的方法,有助于增进对SOC、地形和地貌特征之间关系的理解。

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