Semester of Graduation
Summer 2024
Degree
Master of Science (MS)
Department
Ocean and Coastal Sciences
Document Type
Thesis
Abstract
Our comprehension of coastal ecosystems’ interactions with changes in the environment has significantly improved with the introduction of NUMAN 2.0 and NUMAR 2.0. The first chapter of NUMAN 2.0 provides in-depth information about incorporation of belowground components like coarse roots and cellulose. This integration is achieved through a robust mass balance approach, which enhances the model's accuracy in predicting soil properties, including accretion rates. Moreover, the model can predict root necromass, while it addresses discrepancies in traditional field sampling process.
NUMAN 2.0 has been tested in Shark River, Rookery Bay, and Taylor Slough mangrove sites in Southwest Florida. Model outputs are consistent with field measurements for soil accretion, bulk density, organic matter percentage, organic matter density, organic carbon density, and carbon sequestration. Based on these improvements, NUMAR 2.0, a marsh adaptation of NUMAN 2.0 has been introduced. NUMAR 2.0 estimates self-packing densities of organic and inorganic matter, root biomass at the surface, root attenuation rate using field observations, and root turnover rates based on organic matter percentages up to specific depths. Additional input parameters based on Feldspar data, such as deposition rates and ash content in surface deposits, etc. were used to simulate. Model outputs align with field-based measurements across three salinity zones in both active and inactive basins.
An uncertainty analysis using Monte-Carlo method enhanced model generality and reflected site's natural variability. It didn’t only increase the models' precision but also expand their applicability across different wetland types, providing a reliable and robust tool for our research and conservation efforts.
It also facilitates robust input parameter estimation. This greatly enhances our ability to predict and manage changes in these ecosystems, making it an indispensable tool for ecological study and conservation. The real-world application of these models underscores their importance and potential impact. This research expands our investigative scope and has practical implications, enabling us to conduct in-depth analyses of variations in mangrove and marsh ecosystems based on salinity zones and soil types.
Date
7-15-2024
Recommended Citation
Biswas, Pradipta, "Developing the Next Generation of Models for Predicting Soil Formation in Mangrove (NUMAN 2.0) and Marsh (NUMAR 2.0) Wetlands" (2024). LSU Master's Theses. 6008.
https://repository.lsu.edu/gradschool_theses/6008
Committee Chair
Willson, Clinton S.
DOI
https://doi.org/10.31390/gradschool_theses.6008