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Experience 3. SISLAC - Carolina Olivera Sanchez

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Fourth Working Session of the International Network of Soil Information Institutions (INSII) 6-8 November 2018 | FAO HQ – German Room, Rome, Italy

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Experience 3. SISLAC - Carolina Olivera Sanchez

  1. 1. 4th Working Session International Network of Soil Information Institutions 6-8 November 2018 | FAO HQ Carolina Olivera Sanchez Guillermo Federico Olmedo Mario Guevara Santamaria Fernando Fontes Tucat (UY) Napoleón Ordoñez Delgado (CO) TCP/RLA/3613
  2. 2. TCP/RLA/3613 Product 2. The Soil Information System of Latin America (SISLAC) is active:  Spatial database + web frontend  Published as free and open software  Multi-language graphical user interface to upload and query data easily and fast.  I Integration with R  Interoperatibility with other soil databases  Data harvesting from LAC national initiatives  Non spatial explicit data “Regional project for capabilities development in soil information for the sustainable management of natural resources in South America”
  3. 3. • 40.492 SOC observations • SOC stock at the first 30 cm adds to 87.6 Pg
  4. 4. http://54.229.242.119/sislac Soil Information System of Latin America (SISLAC).
  5. 5. Soil Information System of Latin America (SISLAC).
  6. 6. WoSIS LAC: 8970 soil profiles Soil Information System of Latin America (SISLAC).
  7. 7. ARG - Sisinta: 4800 soil profiles BRA - Sistema de Informação de Solos Brasileiros - Embrapa: 8345 soil profiles and 8106 top soil samples BRA - Free Brazilian Repository for Open Soil Data / Universidade Federal de Santa Maria (UFSM) and Universidade Tecnológica Federal do Paraná (UTFPR): 13562 soil profiles and 1084 top soil samples. CHL - Chilean SOC Dataset: 2476 soil profiles or top soil samples. COL - IGAC: 4600 soil profiles or top soil samples URY - Sist. de Información de Suelos de Uruguay (SISU): 1600 soil profiles Totaling 44756 potential soil observations Soil Information System of Latin America (SISLAC).
  8. 8. Soil Information System of Latin America (SISLAC). Soil Information System of Argentina sisinta.inta.gob.ar 5000 soil profiles Soil Information System of Uruguay (SISU): 981 soil profiles http://web.renare.gub.uy/js/visore s/cartasuelos/ http://ssiglwps.igac.gov.co:8888/siga_sig/ Agrologia.seam 5.000 soil profiles
  9. 9. “Regional project for capabilities development in soil information for the sustainable management of natural resources in South America” TCP/RLA/3613 Product 1. Capabilities in the generation of soils information developed and strengthened in each country:  Advanced capabilities were developed in digital soil mapping in regional and sub regional workshops.  One article published in SOIL® journal, on the methodology of digital soil mapping.  Four articles in preparation for regional and international journals.  Designation of a national responsible of Pillar 4 and creation of national networks for the management of soil information in each country.  10 National SOC maps presented to institutions of the agricultural and environmental sector.  Regional SOC map presented at the world soil congress in Rio de Janeiro - 2018.
  10. 10. Regional and sub regional workshops Montevideo, Uruguay – August 2017
  11. 11. • Temperature, soil type, vegetation indexes, and topography were the best predictors for SOC, but country-specific predictors and their respective weights varied across Latin America. • Expert opinion is needed to set boundary prediction limits to avoid unrealistically high modeling estimates. • Large degree of spatial uncertainty in SOC estimates across Latin America. • Framework developed for improving country-specific mapping efforts and reducing current discrepancy of global, regional, and country-specific SOC estimates. Regional and sub regional workshops Montevideo, Uruguay – August 2017
  12. 12. Regional and sub regional workshops Montevideo, Uruguay – August 2017 Country maps Region maps Large degree of spatial uncertainty in SOC estimates across Latin America. Model uncertainty in (a,b) and data uncertainty (c)
  13. 13. Screenshot of GSOCmap (A) Santiago workshop • Digital maps of the surface texture in Argentina (0-30cm). An example of the various predictions generated • Clay maps (A), silts (B), sand (C) and grouped map (D). Where Si = silty, Lo = loam, Cl = loamy and Sa = sandy. Regional and sub regional workshops Santiago de Chile – May 2018
  14. 14. Chile: • Result of the collection of chilean data sources with carbon data from organic soil (A) and its spatial distribution (B). • 2,762 points were collected georeferenced with soil organic carbon data • Almost all the terrestrial ecosystems of Chile are represented. • A group of 47 professionals from 31 public and private institutions joint together to build • the largest SOC dataset of Chile. • Almost 3000 soil observations (currently, available information: 57 to 400). Regional and sub regional workshops Santiago de Chile – May 2018
  15. 15. • Digital maps of the texture and pH of the superficial soil in Uruguay (0-30cm). • Example of digital map of soil moisture (average 1991-2013) • Volumetric water content in soils. Regional and sub regional workshops Santiago de Chile – May 2018
  16. 16. Digital soil cartography of soil moisture regime in Colombia: The combination of the predictive covariates and the data set explained 55% of the variation of soil moisture regime in the study area. Regional and sub regional workshops Bogota, Colombia – July 2018 Estimation of soil organic carbon in Colombia Using the best available information about bulk density, the lowest errror level is generated. These results have make a difference of 5.5% on carbon stocks.
  17. 17. Gracias por su atención Carolina.oliverasanchez@fao.org

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