Dynamics Soil Information Systems: where we are, where we need to go, and why

Session ID#: 122332

Session Description:
Soil observations are as old as agriculture and even more relevant under a carbon-dioxide driven climate. With the promise of new AI and machine learning methods, accurate and timely data becomes even more valuable for scientific insight and data-driven policy work. Yet there remains substantial barriers to soil data discovery, access, integration, and reuse. Many of these challenges are driven by the diversity in measurements, methods, and scales inherent in soils. In this session we will hear about current efforts to address these challenges. From new ontologies and semantic tools, to data formatting, to what data measurements are poised to drive novel insights, this session will focus on efforts in the US and around the world to create a dynamic soil information system for the 21st century.
Co-Sponsor(s):
  • ESA: Ecological Society of America -
  • EGU: European Geosciences Union -
  • GSA: Geological Society of America -
  • SSSA: Soil Science Society of America -
Index Terms:

0434 Data sets [BIOGEOSCIENCES]
0486 Soils/pedology [BIOGEOSCIENCES]
0525 Data management [COMPUTATIONAL GEOPHYSICS]
1615 Biogeochemical cycles, processes, and modeling [GLOBAL CHANGE]


Primary Convener:  Katherine E Todd-Brown, University of Florida, Gainesville, FL, United States
Conveners:  Bruno Basso, Michigan State University, Department of Earth and Environmental Sciences, East Lansing, MI, United States, Alison R Marklein, University of California Riverside, Riverside, CA, United States and Rodrigo Vargas, University of Delaware, Newark, DE, United States
Primary Liaison:  Katherine E Todd-Brown, University of Florida, Gainesville, FL, United States
See more of: Biogeosciences