Determination of representative elementary areas for soil redoximorphic features identified by digital image processing

Abstract Photography has been a welcome tool in documenting and conveying qualitative soil information. When coupled with image analysis software, the usefulness of digital cameras can be increased to advance the field of micropedology. The determination of a representative elementary area (REA) still remains a critical information need for soil scientists so that field measurements are independent of sample size and account for spatial heterogeneity. An objective of this study was to define and determine an REA for Low Chroma and High Chroma soil redoximorphic features (SRFs) present in claypan soils of northeastern Missouri, USA using a digital camera and image classification techniques. An additional objective was to examine REA differences between these two SRF types, soil depths, and landscape positions to highlight sampling considerations when quantifying SRFs in the field. Three metrics were chosen to quantify SRF heterogeneity, including percent occurrence, mean Euclidean distance, and the Interspersion/Juxtaposition Index. The relative change in these metrics was determined for 16 image sizes ranging from 2.5 cm 2 to 40 cm 2 and used to identify an REA. Results showed REAs (mean ± SE) for Low Chroma (17.7 cm 2  ± 0.4) and High Chroma (25.4 cm 2  ± 0.7) were significantly different (α = 0.05). Further review of REAs indicated large sampling diameters (> 8 cm) are necessary to simultaneously capture REAs of Low Chroma and High Chroma SRFs. When SRFs were considered separately, a ≥ 5 cm diameter core is recommended to reach an REA for Low Chroma, allowing accurate quantification for soil classification purposes and hydric soil determinations. Federal and state agencies requiring quantifiable SRF measures for land management decisions may greatly benefit from determining these minimum measurement scales, ensuring appropriate data collection methods in the future.

[1]  George G. S. Holmgren The Point Representation of Soil , 1988 .

[2]  P. Bullock,et al.  THE MEASUREMENT AND CHARACTERISATION OF VOIDS IN SOIL THIN SECTIONS BY IMAGE ANALYSIS. PART I. PRINCIPLES AND TECHNIQUES , 1977 .

[3]  Henry Lin,et al.  Hydropedology: Bridging Disciplines, Scales, and Data , 2003 .

[4]  M. Rabenhorst,et al.  Quantifying Soil Hydromorphology , 1998 .

[5]  Richard Drees Soil Microscopy and Micromorphology , 1994 .

[6]  A. Singer,et al.  A digital camera as a tool to measure colour indices and related properties of sandy soils in semi‐arid environments , 2005 .

[7]  Ronald E. Goldstein,et al.  Principles and techniques , 2009 .

[8]  J. Chave The problem of pattern and scale in ecology: what have we learned in 20 years? , 2013, Ecology letters.

[9]  Ward Chesworth,et al.  Book reviewPedogenesis and soil taxonomy: L. P. Wilding, N. E. Smeck and G. F. Hall. Vol. I concepts and interactions; vol. II. The soil orders, 1983, Elsevier, US $49.00 and $55.25 , 1985 .

[10]  Kenneth A. Sudduth,et al.  Soybean Root Distribution Related to Claypan Soil Properties and Apparent Soil Electrical Conductivity , 2007 .

[11]  T. Loughin SAS® for Mixed Models, 2nd edition Edited by Littell, R. C., Milliken, G. A., Stroup, W. W., Wolfinger, R. D., and Schabenberger, O. , 2006 .

[12]  S. Anderson,et al.  Landscape effects on desiccation cracking in an aqualf , 1997 .

[13]  F. Terribile,et al.  The application of multilayer digital image processing techniques to the description of soil thin sections , 1992 .

[14]  Keith Beven,et al.  Effects of spatial variability and scale with implications to hydrologic modeling , 1988 .

[15]  R. Skaggs,et al.  A Method to Predict Soil Saturation Frequency and Duration from Soil Color , 2003 .

[16]  G. Sands,et al.  Effects of Agricultural Drainage on Aquatic Ecosystems: A Review , 2009 .

[17]  Jacob Bear,et al.  Transport Phenomena in Porous Media — Basic Equations , 1984 .

[18]  I. Simpson,et al.  Colour description and quantification in mosaic images of soil thin sections , 2002 .

[19]  Kenneth A. Sudduth,et al.  Identification and quantification of soil redoximorphic features by digital image processing , 2010 .

[20]  S. Anderson,et al.  Soil physical properties after 100 years of continuous cultivation , 1990 .

[21]  Georges Stoops,et al.  Seventy years’ “Micropedology” 1938–2008: The past and future , 2009 .

[22]  J. Bear Dynamics of Fluids in Porous Media , 1975 .

[23]  S. Levin The problem of pattern and scale in ecology , 1992 .

[24]  R. Protz,et al.  The representative elementary area (REA) in studies of quantitative soil micromorphology , 1999 .

[25]  V. C. Jamison,et al.  Slope length of claypan soil affects runoff , 1967 .

[26]  D. Cremeens,et al.  Guidelines for analysis and description of soil and regolith thin sections , 2004 .

[27]  K. McGarigal,et al.  FRAGSTATS: spatial pattern analysis program for quantifying landscape structure. , 1995 .

[28]  S. Wulff SAS for Mixed Models , 2007 .

[29]  I. Simpson,et al.  Historic landscape management: a validation of quantitative soil thin-section analyses , 2006 .

[30]  C. Craft,et al.  Morphological Features of Seasonally Reduced Soils , 2000 .

[31]  J. Bouma Chapter 9 - Hydrology and Soil Genesis of Soils with Aquic Moisture Regimes , 1983 .

[32]  N. Holden Description and classification of soil structure using distance transform data , 2001 .

[33]  V. C. Jamison,et al.  Interflow in claypan soils , 1965 .

[34]  M. Stolt,et al.  Soil Morphology-Water Table Cumulative Duration Relationships in Southern New England , 2006 .

[35]  M. L. Thompson,et al.  Soil micromorphology and soil classification : proceedings of a symposium sponsored by Division S-5 and S-9 of the Soil Science Society of America, in Anaheim, CA, 28 Nov.-3 Dec. 1982 , 1985 .

[36]  E. Moreau,et al.  Pore networks in an Italian Vertisol: quantitative characterisation by two dimensional image analysis , 1996 .

[37]  Salih Aydemir,et al.  Quantification of soil features using digital image processing (DIP) techniques , 2004 .

[38]  R. Protz,et al.  An application of spectral image analysis to soil micromorphology, 1. methods of analysis , 1992 .

[39]  T. M. Lillesand,et al.  Remote Sensing and Image Interpretation , 1980 .

[40]  M. Hubbert,et al.  DARCY'S LAW AND THE FIELD EQUATIONS OF THE FLOW OF UNDERGROUND FLUIDS , 1956 .

[41]  Hannes Flühler,et al.  Sample size for determination of coarse fragment content in a stony soil , 1994 .

[42]  B. Minasny,et al.  Digital Soil Map of the World , 2009, Science.

[43]  A. R. Mermut,et al.  Historical development in soil micromorphological imaging , 2009 .

[44]  F. Terribile,et al.  The application of some image-analysis techniques to recognition of soil micromorphological features , 1995 .

[45]  Alex B. McBratney,et al.  A rapid method for analysis of soil macropore structure. I. Specimen preparation and digital binary image production , 1989 .

[46]  N. R. Kitchena,et al.  Delineating productivity zones on claypan soil fields using apparent soil electrical conductivity , 2005 .

[47]  S. Levin THE PROBLEM OF PATTERN AND SCALE IN ECOLOGY , 1992 .

[48]  P. Caldwell,et al.  Interpreting morphological features in wetland soils with a hydrologic model , 2008 .

[49]  B. Hudson,et al.  The Soil Survey as Paradigm-based Science , 1992 .

[50]  R. V. Rossel,et al.  Using a digital camera to measure soil organic carbon and iron contents , 2008 .

[51]  G. G. Pohlman Soil Science Society of America , 1940 .

[52]  M. Turner,et al.  LANDSCAPE ECOLOGY : The Effect of Pattern on Process 1 , 2002 .

[53]  F. Ghidey,et al.  Saturated Hydraulic Conductivity and Its Impact on Simulated Runoff for Claypan Soils , 2002 .

[54]  Interpretation of digital soil photographs using spatial analysis: I. Methodology , 2006 .