Report

Description

This research describes a generic monitoring design that could be widely applied to detect temporal changes in soil organic carbon stocks (SOC) across a carbon estimation area (CEA) with no prior knowledge of the spatial or temporal variance of SOC within the CEA.

The report includes information on:

  • Bases for designing SOC stock sampling for detecting change
  • Monitoring SOC change to verify the effects of land use or management practices
  • Statistical rationale for monitoring SOC change
  • Quality measure and constraints for monitoring SOC change
  • Design-based optimisation of sample sizes
  • Model-based optimisation of sample sizes
  • Hypothesis testing
  • Statistical model for monitoring SOC change
  • Using available data and its variability to guide initial sampling design
  • Uncertainty in outcomes of monitoring designs
  • Summary and conclusions.
Publication Details
Published year only: 
2013
29
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