Uncoupling the complexity of forest soil variation: Influence of terrain indices, spectral indices, and spatial variability

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Uncoupling the complexity of forest soil variation: Influence of terrain indices, spectral indices, and spatial variability

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作者：Jonathan J. Maynard^a ; ^{jmaynard@nmsu.edu" class="auth_mail" title="E-mail the corresponding author} ; Mark G. Johnson^b ; ^{johnson.markg@epa.gov" class="auth_mail" title="E-mail the corresponding author}
关键词：RDA ; redundancy analysis ; SPG ; soil property group ; CCA ; Canonical Correspondence Analysis ; PCNM ; principal coordinates of neighbor matrices ; CEC ; cation exchange capacity ; BS ; base saturation ; ODOE ; acid ammonium oxalate extract ; TC ; total carbon ; TN ; total nitrogen ; DEM ; digital elevation model ; DAPC ; discriminant analysis of principal components ; BIC ; Bayesian Information Criterion
刊名：Forest Ecology and Management
出版年：2016
出版时间：1 June 2016
年：2016
卷：369
期：Complete
页码：89-101
全文大小：1840 K

文摘

•: Examined environmental factors controlling forest soil variability.
•: Redundancy analysis quantified soil–environmental relationships.
•: 60–80% of soil variability was explained by terrain and spectral indices.
•: Soil–environmental relationships were related to dominant pedogenic processes.

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