TY - JOUR
T1 - Spatial heterogeneity of soil chemical properties in a lowland tropical moist forest, Panama
AU - Yavitt, J. B.
AU - Harms, K. E.
AU - Garcia, M. N.
AU - Wright, S. J.
AU - He, F.
AU - Mirabello, M. J.
PY - 2009
Y1 - 2009
N2 - We evaluated spatial heterogeneity for pH and a comprehensive set of nutrient and trace elements in surface (00.1m depth) and subsurface (0.30.4m depth) soils across 26.6ha of old-growth, lowland, tropical moist forest, established on a highly weathered soil in Panama. Little is known about spatial heterogeneity patterns of soil properties in tropical forest soils. Soil was moderately acidic (pH 5.28) with low concentrations of exchangeable base cations (13.4cmolc/kg), Bray-extractable PO4 (2.2mg/kg), KCl-extractable NO3 (5.0mg/kg), and KCl-extractable NH4 (15.5mg/kg). The coefficient of variation for soil properties ranged from 24% to 200%, with a median value of 84%. Geostatistical analysis revealed spatial dependence at a scale of 10100m for most of the soil properties; however, pH, NH4, Al, and B had spatial dependence at a scale up to 350m. Best-fit models to individual variograms included random, exponential, spherical, Gaussian, linear, and power functions, indicating many different spatial patterns among the set of soil properties. Correlation among individual elements was poor, indicating independent patterns. Our results show complex spatial patterns in soil chemical properties and provide a basis for future investigations on soilplant relationships and soil nutrient niche differentiation.
AB - We evaluated spatial heterogeneity for pH and a comprehensive set of nutrient and trace elements in surface (00.1m depth) and subsurface (0.30.4m depth) soils across 26.6ha of old-growth, lowland, tropical moist forest, established on a highly weathered soil in Panama. Little is known about spatial heterogeneity patterns of soil properties in tropical forest soils. Soil was moderately acidic (pH 5.28) with low concentrations of exchangeable base cations (13.4cmolc/kg), Bray-extractable PO4 (2.2mg/kg), KCl-extractable NO3 (5.0mg/kg), and KCl-extractable NH4 (15.5mg/kg). The coefficient of variation for soil properties ranged from 24% to 200%, with a median value of 84%. Geostatistical analysis revealed spatial dependence at a scale of 10100m for most of the soil properties; however, pH, NH4, Al, and B had spatial dependence at a scale up to 350m. Best-fit models to individual variograms included random, exponential, spherical, Gaussian, linear, and power functions, indicating many different spatial patterns among the set of soil properties. Correlation among individual elements was poor, indicating independent patterns. Our results show complex spatial patterns in soil chemical properties and provide a basis for future investigations on soilplant relationships and soil nutrient niche differentiation.
KW - Base cations
KW - Geostatistical analysis
KW - Nutrients
KW - Spatial variability
KW - Trace elements
KW - Variogram.
UR - https://www.scopus.com/pages/publications/70449623661
U2 - 10.1071/SR08258
DO - 10.1071/SR08258
M3 - 文章
AN - SCOPUS:70449623661
SN - 0004-9573
VL - 47
SP - 674
EP - 687
JO - Australian Journal of Soil Research
JF - Australian Journal of Soil Research
IS - 7
ER -