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New Indication Method Using Pedo-Econometric Approach

  • Katsutoshi Mizuta
  • , Sabine Grunwald
  • , Michelle A. Phillips
  • , Wendell P. Cropper
  • , Won Suk Lee
  • , Gustavo M. Vasques

Research output: Contribution to journalArticlepeer-review

Abstract

Conventional multivariate statistics that have been used to create indication systems to assess soil functions raise theoretical and practical issues. The Data Envelopment Analysis (DEA) that can overcome such issues is a well-known management tool in other fields than soil science. This study is the first to use the DEA for a soil-related phenomenon across a large region. Soil carbon sequestration (SCseq) capability index scores in Florida, USA, were computed using the DEA with two settings (free disposability hull, FDH and variable returns-to-scale, VRS) to assess the soil carbon sequestration function. Findings suggest that sites with high annual temperature, precipitation, and Normalized Difference Vegetation Index as inputs were most efficient to sequester carbon in soils. The novel pedo-econometric approach enables to optimize the SCseq and guides future management to enhance soil carbon, and thus, soil health.
Original languageAmerican English
Pages (from-to)207-241
JournalData Envelopment Analysis Journal
Volume4
Issue number2
DOIs
StatePublished - 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • Soil
  • Ecology
  • Environmental Health
  • soil health and quality
  • Climate Change

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