Published December 20, 2022 | Version V1
Dataset Open

CLSoilMaps: A national soil gridded product for Chile

  • 1. Facultad de Ingeniería y Ciencias Universidad Adolfo Ibáñez, Center for Climate Resilience Research (CR2)
  • 2. Facultad de Ciencias Agronómicas, Universidad de Chile
  • 3. Núcleo de Investigaciones Aplicadas en Ciencias Veterinarias y Agronómicas, Facultad de Medicina Veterinaria y Agronomía, Universidad de las Américas

Description

 CLSOILMAPS presents a newly gridded database of soil physical properties and soil hydraulic parameters based on digital soil mapping (DSM) techniques and a pedotransfer function (Rosetta V3) at close to 100m of spatial resolution covering the continental area of Chile and binational basins shared with Argentina for six standardized depths following GlobalSoilMap project standards. Maps were based on a newly compiled soil profile database covering different land use conditions (e.g. agricultural, forest, peatland, shrubland, and Andean grassland), and several environmental covariates based on the SCORPAN soil forming factors. DSM models showed moderate to good accuracies with R2 ranging from 0.76-0.88 for bulk density, 0.50-0.76 for clay, and 0.67-0.84 for sand. Silt maps were derived from clay and sand predictions taking advantage of the compositional nature of the particle size fraction. Field capacity, permanent wilting point, total available water capacity, and Van Genuchten´s soil hydraulic parameters were derived with Rosetta V3 algorithm.

 

 

Notes

Center for Climate and Resilience Research, Award: CR2, CONICYT/ FONDAP/15110009 Improving forest water yield and productivity quantification at the catchment scale by mapping root depth and ecophysiological thresholds with remote sensing and water transfer modeling, Award: ANID Fondecyt 1210932 The catchment's memory: understanding how hydrological extremes are modulated by antecedent soil moisture conditions in a warmer climate, Award: ANID Fondecyt 1212071 Management of global change impacts on hydrological extremes by coupling remote sensing data and an interdisciplinary modeling approach (Chi)2, Award: PCI ANID Chile-NSFC China NSFC190018 Drought and water security platform for catchment planning: historical evolution and future trajectories under global change, Award: Fondo de Investigación Estratégica en Sequía FSEQ210001

Technical info

Fe de erratas: Available Water Capacity description had a minor error. We have updated the files description at the table below.

Soil att

File abreviation

Description

Units

Bulk density

Bulkd

Bulk density of the fine fraction

g/cm3

Clay

Clay

Clay content

%

Sand

Sand

Sand content

%

Silt

Silt

Silt content

%

Field Capacity

FC

Field capacity at 330kPa

cm3/cm3

Permanent Wilting Point

PWP

Permanent wilting point at 15000kPa

cm3/cm3

Available Water Capacity

AWC

Available water capacity as h*(FC-PWP), h = horizon depth in mm

mm

Total Available Water Capacity

Total_AWC

Sum of AWC across all depths

mm

Available Moisture

AvMoist

Available Moisture as FC-PWP

cm3/cm3

θr

theta_r

residual water content

cm3/cm3

θs

theta_s

saturated water content

cm3/cm3

α

alpha

"alpha" shape parameter

1/cm

npar

n

"n" shape parameter

-

Soil Hydraulic Conductivity

ksat

saturated hydraulic conductivity

cm/day

Files

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Additional details

References

  • Boisier, J. P., Alvarez-Garretón, C., Cepeda, J., Osses, A., Vásquez, N., & Rondanelli, R. (2018). CR2MET: A high-resolution precipitation and temperature dataset for hydroclimatic research in Chile. Geophysical Research Abstracts, 20(Vic), 2018–19739
  • CIREN. (1996a). Estudio Agrológico Región Metropolitana. Descripciones de suelos, materiales y símbolos. Publicación No 115
  • CIREN. (1996b). Estudio Agrológico VI Región. Descripciones de suelos, materiales y símbolos. Publicación No 114
  • CIREN. (1997a). Estudio Agrológico V Región. Descripciones de suelos, materiales y símbolos. Publicación No 116
  • CIREN. (1997b). Estudio Agrológico VII Región. Descripciones de suelos, materiales y símbolos. Publicación No 117
  • CIREN. (1999). Estudio Agrológico VIII Región. Descripciones de suelos, materiales y símbolos. Publicación No 121
  • CIREN. (2002). Estudio Agrológico IX Región. Descripciones de suelos, materiales y símbolos. Publicación No 122
  • CIREN. (2003). Estudio Agrológico X Región. Descripciones de suelos, materiales y símbolos. Publicación No 123
  • CIREN. (2005a). Estudio Agrológico IV Región. Descripciones de suelos, materiales y símbolos. Publicación No 129. Centro de Información de Recursos Naturales (CIREN)
  • CIREN. (2005b). Estudio Agrológico XI Región. Descripciones de suelos, materiales y símbolos. Publicación No 130
  • CIREN. (2007). Estudio Agrológico III Región. Descripciones de suelos, materiales y símbolos. Publicación No 135
  • Pfeiffer, M., Padarian, J., Osorio, R., Bustamante, N., Federico Olmedo, G., Guevara, M., Aburto, F., Albornoz, F., Antilén, M., Araya, E., Arellano, E., Barret, M., Barrera, J., Boeckx, P., Briceño, M., Bunning, S., Cabrol, L., Casanova, M., Cornejo, P., … Zagal, E. (2020). CHLSOC: The Chilean Soil Organic Carbon database, a multi-institutional collaborative effort. Earth System Science Data, 12(1), 457–468. https://doi.org/10.5194/essd-12-457-2020
  • Batjes, N. H., Ribeiro, E., & van Oostrum, A. (2020). Standardised soil profile data to support global mapping and modelling (WoSIS snapshot 2019). Earth System Science Data, 12(1), 299–320. https://doi.org/10.5194/ESSD-12-299-2020