TY - JOUR
T1 - Fabric variability associated with periglacial mass-wasting at Eagle Summit, Alaska
AU - Millar, Susan W.S.
N1 - Funding Information:
This work was supported by National Science Foundation grant SBR-9305029. Field assistance was provided by Sherry Fuchs, and lab facilities and help by Rolf Kihl and Institute of Arctic and Alpine Research in Boulder, Colorado. I also thank Nel Caine, Norm Catto and Fritz Nelson for valuable comments on earlier versions of the manuscript.
PY - 2005/12
Y1 - 2005/12
N2 - Fabric analysis is a frequently applied technique and, when used in concert with other tools, aids the interpretation of glacigenic and colluvial depositional environments. The research presented here focuses on its application to periglacial colluvium, using a stratified systematic unaligned sampling framework in order to assess the variation of fabrics generated. The range of possible variation in fabric is necessary information for its application to periglacial paleoenvironmental interpretation. Fabric strength and shape from 68 samples, of 50 stones each on a range of microgeomorphic settings across terrain influenced by periglacial mass-wasting in central Alaska, were analyzed in relation to local slope orientation, clast characteristics, organic mat thickness, stone density, distance downslope from the divide, soil texture and soil moisture. Principal components analysis (PCA) was used to reduce stone characteristics to three factors. Multiple regression analyses of the three factors and environmental variables, with the fabric strength parameters as dependent variables, indicate that stone characteristics, particularly size and platyness, are the most significant factors determining fabric strength. No distinct fabric strength or shape was associated with specific landforms. These results raise serious doubts as to the time-cost effectiveness of the application of fabric analysis as a paleoenvironmental tool to identify periglacial landforms from their deposits.
AB - Fabric analysis is a frequently applied technique and, when used in concert with other tools, aids the interpretation of glacigenic and colluvial depositional environments. The research presented here focuses on its application to periglacial colluvium, using a stratified systematic unaligned sampling framework in order to assess the variation of fabrics generated. The range of possible variation in fabric is necessary information for its application to periglacial paleoenvironmental interpretation. Fabric strength and shape from 68 samples, of 50 stones each on a range of microgeomorphic settings across terrain influenced by periglacial mass-wasting in central Alaska, were analyzed in relation to local slope orientation, clast characteristics, organic mat thickness, stone density, distance downslope from the divide, soil texture and soil moisture. Principal components analysis (PCA) was used to reduce stone characteristics to three factors. Multiple regression analyses of the three factors and environmental variables, with the fabric strength parameters as dependent variables, indicate that stone characteristics, particularly size and platyness, are the most significant factors determining fabric strength. No distinct fabric strength or shape was associated with specific landforms. These results raise serious doubts as to the time-cost effectiveness of the application of fabric analysis as a paleoenvironmental tool to identify periglacial landforms from their deposits.
KW - Alaska
KW - Periglacial mass-wasting
KW - Sediment fabric
KW - Solifluction
KW - Spatial variability
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U2 - 10.1016/j.geomorph.2005.05.012
DO - 10.1016/j.geomorph.2005.05.012
M3 - Article
AN - SCOPUS:28744435537
SN - 0169-555X
VL - 72
SP - 222
EP - 237
JO - Geomorphology
JF - Geomorphology
IS - 1-4
ER -