Modeling deep soil properties on California grassland hillslopes using LiDAR digital elevation models
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- 作者：Yang Lina ; ylin@geog.ucsb.edu" class="auth_mail" title="E-mail the corresponding author ; Samuel E. Prentice IIIb ; Tom Trana ; Nina L. Binghama ; Jennifer Y. Kinga ; Oliver A. Chadwicka
- 关键词：Mollisols ; Kastanozems ; Deep soil carbon ; Geomorphology ; Digital soil mapping ; Remote sensing ; DEM ; Pedogenic carbonate ; Compound topographic index ; Topographic wetness index
- 刊名：Geoderma Regional
- 出版年：2016
- 出版时间：March 2016
- 年：2016
- 卷：7
- 期：1
- 页码：67-75
- 全文大小：1030 K
文摘
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Deep soil profile C and N stocks were modeled using LiDAR-derived DEM.
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Mean curvature predicted soil thickness and soil C and N stocks.
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Concave positions favored cumulic processes and accumulation of soil C and N.
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Subsoil, rather than A horizon, best described spatial patterns of C and N stocks.
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Mean curvature and slope aspect explained 50% of variability in soil C stock.