Graduate Research Assistantship University of Arkansas at Monticello Monticello, Arkansas, United States
This research focuses on the spatial variability of soil series chemical properties in bottomland hardwoods of the Lower Mississippi Alluvial Valley and compares the effectiveness of seven spatial interpolation models. This study will provide high-resolution soil chemical information to develop site-specific management practices for sustainable forest management strategies.
Learning Objectives:
Upon the completion of the project, the participants will recognize that coarse-resolution soil mapping (USDA_NRCS soil series mapping) cannot accurately predict location-specific soil chemical characteristics. Instead, high-resolution mapping is required to provide the necessary precision for effective site-specific management practices. This knowledge will enable participants to advocate for the use of high-resolution soil mapping in future land management decisions.
By the end of the project, participants will acquire knowledge about the usefulness of well-fitted spatial interpolation methods in creating continuous data for unsampled locations from sample points. This will enhance participants' understanding of spatial interpolation tools and their potential for reducing costs in creating data.