Phase II (2019-'21) |
---|
II P1: FIRE Induced Element Cycling II P2: Nutrient cycling & vegetation II P3: Microorganisms & soil structure II P4: Linking bioturbation with fluxes II P5: Erosion-Climate-Vegetation coupling (SECCO) II P6: Bio-Geomorphology II P7: Biota, fracture, thresholds II P8: Stress constrained landscape modeling II P9: Bridging timescales with modeling II P10: Landscape evolution from Thermochronology II P11: DeepES - Weathering Geochemistry II P12: DeepES - Microbial element cycling II P13: DeepES - Geophysical Imaging II P14: DeepES - Microbial activity II P15: DeepES - Geomicrobiology II A1: Plant available water storage II A2: Bioweath |
Phase I (2016-'18) |
---|
I P1: Plant Traits and Decomposition I P2: Coupled Modelling I P3: Biofilms & Weathering I P4: Sediment storage & Connectivity I P5: Crustweathering I P6: Root Carbon I P7: Paleoclimate I P8: Imaging of Weathering front I P9: Sediment Transport I P10: Phosphorus solubilization I P11: Green & Grey world I P12: Biogenic Weathering I P13: Microbiological Stabilization I A3: Carbon & Nutrient Fluxes |
Investigator Names and Contact Info:
Chilean Collaborators Involved:
Project summary:
While purely climatic and physiological controls on ecosystem productivity have been thoroughly researched in seasonally dry ecosystems, few studies have explicitly examined the role of the subsurface (especially beyond shallow soil layers into saprolite and weathered bedrock). Yet the subsurface stores the water that may be expected to play a central role in ecosystem activity, especially during the dry season. This project explores how plant available water storage capacity (AWC) of the critical zone mediates the relationship between rainfall climatology and annual productivity in seasonally dry climates. We investigate this topic using catchment-scale mass balance and flow recession methods. Theories from stochastic ecohydrology are applied to predict AWC using vegetation remote sensing data. Shallow geophysics and direct observations of subsurface water storage dynamics constrain inferences made using new theory. The project is funded by the CZO SAVI International Scholars Program and is a collaboration the Eel River Critical Zone Observatory and the EarthShape Project.