Comparing Field Sampling and Soil Survey Database for Spatial Heterogeneity in Surface Soil Granulometry: Implications for Ecosystem Services Assessment

摘要: Lithospheric-derived resources such as soil texture and coarse fragments are key physical properties that contribute to ecosystem services (ES), which can be valued based on “soil” or “mineral” stocks. Soil survey data provides an inexpensive alternative detailed field measurements often labor-intensive, time-consuming, costly obtain. However, both contain heterogeneous information with a certain level of variability uncertainty in data. This study compares the potential using from Survey Geographic database (SSURGO) for (CF), sand (S), silt (Si), clay (C) class (TC) surface (Ap horizon) 147-hectare Cornell University Willsboro Research Farm, NY. Maps were created following methods: a) utilizing SSURGO individual map unit (SMU) at site representative reported values across SMU; b) averaging within specific SMU boundary averaged value c) interpolating farm boundaries cores. demonstrates important distinction between mapping “crisp” databases compared actual spatial heterogeneity interpolated CF, S, Si, C, TC derived core samples dissimilar maps by results over SMUs. Dissimilarities attributed several factors (e.g., official series being collected “type locations” outside areas). Correlation plot estimates each showed statistically significant correlations field-averaged (r = 0.823, p 0.003) field-interpolated 0.584, 0.028) estimates, but no correlation was found Si.