0000000001204786
AUTHOR
Y. Dialynas
Influence of soil erosion and landslide occurrence on the CO2 exchange with the atmosphere at the Luquillo Critical Zone Observatory, Puerto Rico
Tropical rainforests play a significant role in the global carbon (C) cycle. The Luquillo Critical Zone Observatory (LCZO) in Puerto Rico is characterized by intense erosion and landslide occurrence, which have been historically influenced by human activity and land use change, and drive the redistribution and burial of soil organic C (SOC) across the landscape. Estimates of regional C budgets do not systematically account for linkages between hydrological, geomorphological, and biogeochemical processes, which control the fate of eroded SOC. We quantify the impacts of erosion and rainfall-triggered landslides on SOC oxidation and accumulation at the Mameyes and Icacos watersheds. We develop…
Integration of physically based distributed hydrological model with model of carbon and nitrogen cycle: Luquillo Critical Zone Observatory, Puerto Rico
The dynamics of carbon and nitrogen cycles, increasingly influenced by human activities, are the key to the functioning of ecosystems. These cycles are influenced by the composition of the substrate, availability of nitrogen, the population of microorganisms, and by environmental factors. Therefore, land management and use, climate change, and nitrogen deposition patterns influence the dynamics of these macronutrients at the landscape scale. In this work a physically based distributed hydrological model, the tRIBS model, is coupled with a process-based multi-compartment model of the biogeochemical cycle to simulate the dynamics of carbon and nitrogen (CN) in the Mameyes River basin, Puerto …
A physically-based and distributed tool for modeling the hydrological and mechanical processes of shallow landslides
This work presents the capabilities of a model, i.e. the tRIBS-VEGGIE-Landslide, in two different versions, i.e. developed within a probabilistic framework and coupled with a root cohesion module. The probabilistic model treats geotechnical and soil retention curve parameters as random variables across the basin and estimates theoretical probability distributions of slope stability and the associated “factor of safety” commonly used to describe the occurrence of shallow landslides. The derived distributions are used to obtain the spatiotemporal dynamics of probability of failure, conditioned on soil moisture dynamics at each watershed location. The framework has been tested in the Luquillo …