Sampling Soils in a Heterogeneous Research Plot
Author(s) -
Jianwei Li
Publication year - 2019
Publication title -
journal of visualized experiments
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.596
H-Index - 91
ISSN - 1940-087X
DOI - 10.3791/58519
Subject(s) - sampling (signal processing) , protocol (science) , plot (graphics) , sampling design , sample size determination , soil water , spatial variability , environmental science , soil science , sample (material) , computer science , field (mathematics) , soil test , statistics , biomass (ecology) , mathematics , ecology , biology , population , alternative medicine , filter (signal processing) , chemistry , pathology , sociology , chromatography , computer vision , medicine , demography , pure mathematics
Soils are highly heterogeneous. In general, the number of soil samples required for soil research has always been determined arbitrarily and the associated accuracy is unknown. Here, we present a detailed protocol for efficient and clustered soil sampling in a research plot and, relying on a pilot sampling using this design, for demonstrating soil spatial heterogeneity and informing reasonable sample sizes and associated accuracy for future study. The protocol mainly comprises four steps: sampling design, field collection, soil analysis, and geostatistical analysis. The step-by-step procedure is modified according to former publications. Two examples will be presented to demonstrate contrasting spatial distributions of soil organic carbon (SOC) and soil microbial biomass carbon (MBC) under different management practices. In addition, we present a strategy to determine the sample size requirement (SSR) given a certain level of accuracy based on the plot-level coefficient of variation (CV). The field sampling protocol and the quantitative determination of the sample size will assist researchers in seeking feasible sampling strategies to meet research needs and resources' availability.
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