From Observation to Manipulation to Prediction: Experimental Systems for Deep Soil and Subsurface Earth System Science

Session ID#: 280813

Session Description:
Understanding processes in deep soils and the subsurface remains a central challenge in Earth system science, limiting prediction of carbon dynamics, hydrologic connectivity, ecosystem resilience, and their representation in models. While observations highlight the importance of deep critical zone processes, experimental tests of underlying mechanisms remain rare due to limited access and control.

A new generation of experimental systems, including ecotrons, deep soil mesocosms, controlled lysimeter arrays, and hybrid field-laboratory platforms, is enabling direct manipulation of subsurface conditions across depth and time. These systems integrate advanced sensing, imaging, and environmental control, supporting hypothesis-driven experiments and model evaluation.

This session invites contributions that use or develop such systems to advance mechanistic understanding and prediction of subsurface processes. Topics include deep soil carbon and nutrient dynamics, hydrologic flowpaths, plant–microbe interactions, novel imaging approaches, and microbial function (e.g., carbon use efficiency, signaling, VOCs) regulating biogeochemical feedbacks across depth.

Co-Sponsor(s):
  • A - Atmospheric Sciences
  • GC - Global Environmental Change
  • H - Hydrology
Index Terms:

0414 Biogeochemical cycles, processes, and modeling [BIOGEOSCIENCES]
0486 Soils/pedology [BIOGEOSCIENCES]
1402 - Critical Zone [CRITICAL ZONE]
1622 Earth system modeling [GLOBAL CHANGE]
Primary Convener:  Zachary Eric Kayler, University of Idaho, Moscow, ID, United States
Conveners:  Michael Strickland, University of Idaho, Moscow, United States, David G Williams, University of Wyoming, Botany, Laramie, United States and Zeli Tan, Pacific Northwest National Laboratory, Richland, WA, United States
See more of: Biogeosciences