01795naa a2200325 a 450000100080000000500110000800800410001902400300006010000150009024500820010526000090018752009330019665000190112965000120114865000250116065000090118565000170119465000130121165000180122465000240124265000140126665000110128065000090129170000170130070000200131770000260133770000150136370000220137877300690140021169322020-04-17       2019    bl uuuu     u00u1 u    #d7 a10.1561/103.000000282DOI1 aMIZUTA, K.  aNew indication method using pedo-econometric approach.h[electronic resource]  c2019  aConventional 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 wellknown 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 pedoeconometric approach enables to optimize the SCseq and guides future management to enhance soil carbon, and thus, soil health.  aClimate change  aEcology  aEnvironmental health  aSoil  aSoil quality  aEcologia  aMeio Ambiente  aMudança Climática  aQualidade  aSaúde  aSolo1 aGRUNWALD, S.1 aPHILLIPS, M. A.1 aCROPPER JUNIOR, W. P.1 aLEE, W. S.1 aVASQUES, G. de M.  tData Envelopment Analysis Journalgv. 4, n. 2, p. 207-241, 2019.