Buckingham,S.E., Neff,J., Titiz-Maybach,B. and Reynolds,R.L.(2010): Chemical and textural controls on phosphorus mobility in drylands of southeastern Utah. Biogeochemistry, 100, 105-120.

『ユタ州南東部の乾燥地帯においてリンの移動性をコントロールする化学的性質と組織』

『Abstract
　We investigated several forms of phosphorus (P) in dryland soils to examine the chemical and textural controls on P stabilization on a diverse set of substrates. We examined three P fractions including labile, moderately labile, and occluded as determined by a modified Hedley fractionation technique. The P fractions were compared to texture measurements and total elemental concentrations determined by inductively coupled plasma-atomic emission spectroscopy (ICP-AES). Labile P related to the absence of materials involved in P sorption. Moderately labile P was most strongly associated with high total Al & Fe content that we interpret to represent oxides and 1:1 clay minerals. The occluded P fraction was strongly associated with low total Al & Fe environments and interpreted to represent 2:1 clay minerals where ligand exchange tightly sequesters P. The results indicate that the controls on P fraction distribution are initially closely tied to the chemical and physical properties of the bedrock units that contribute to soil formation. Further, these results suggest that the progression of stabilized P forms in dryland areas differs from the progression observed in mesic environments. Soil development in dryland settings, such as the formation of pedogenic carbonates, may lead to differing controls on P availability and the proportional size of the moderately labile fraction.

Keywords: Available phosphorus; Canyonlands National Park; Hedley fractions; Occluded phosphorus; Soil biogeochemistry; P stabilization 』

Introduction
Methods
　Study area
　Diversity of parent materials
　Sampling design
　Chemical and mineralogical analyses
　Particle-size measurements and soil-texture classification
　Hedley fractionation
　Statistical design
Results
　Chemical and textural distributions
　Descriptive statistics: zero order correlations
　Simple regression
　Predictive regressions using textural moderators
　　Modeled regression for labile P
　　Modeled regression for moderately labile P
　　Modeled regression for occluded P
Discussion
　Labile P
　Moderately labile P
　Occluded P
　Implication for landscape scale P
Conclusion
Acknowledgments
References

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