Presentation Title
Understanding the Mutually Dynamic Relationship Between Tree Species Present and the Underlying Parent Material
Abstract
The purpose of this study is to identify trends in the correlation between tree species present in a forest and the underlying lithology across Vermont. I collected data at 24 FIA (Forest Inventory Analysis) plots across Vermont over Summer and Fall 2018. Several forest inventory metrics were recorded at each plot including trees present, vegetation vigor, and forest type. In addition to the forest data I used USGS maps to identify the bedrock underlying each plot, and measured soil pH of both the O horizon and B horizons. I chose these two soil horizons for my tests because pH of the O horizon is most influenced by the trees/vegetation, and the B horizon’s pH is primarily influenced by the geochemistry of the parent material.
Due to the variety of bedrock lithologies in Vermont, to simplify my research I divided my plots into four categories based on general rock types: Gneiss, Limestone/Dolomite, Quartzite, and Schist/Phyllite, based on mineral composition and relative weathering rates. I also investigated the effects of till and colluvium on soil geochemistry, because that and bedrock lithology ultimately dictate what plants can compete on the site vigorously.
In order to quantify the significance of finding a particular tree species on a plot, I found the pH preferences of each species from the World Climate Atlas and put each tree in one of three categories based on pH preference range. I observed that tree pH preference for each plot can be represented by average pH preference of the trees present, weighted by the width of the range of the tree’s pH preference. I also observed that soil geochemistry is dependent on a combination of bedrock, till and colluvium. This research helps scientists in Vermont quantify the inherent intersection between the forest cover and the geology underneath.
Primary Faculty Mentor Name
Andrea Lini
Secondary Mentor Name
Tony D'Amato
Status
Undergraduate
Student College
Rubenstein School of Environmental and Natural Resources
Program/Major
Forestry
Second Program/Major
Geology
Primary Research Category
Food & Environment Studies
Secondary Research Category
Biological Sciences
Tertiary Research Category
Vermont Studies
Understanding the Mutually Dynamic Relationship Between Tree Species Present and the Underlying Parent Material
The purpose of this study is to identify trends in the correlation between tree species present in a forest and the underlying lithology across Vermont. I collected data at 24 FIA (Forest Inventory Analysis) plots across Vermont over Summer and Fall 2018. Several forest inventory metrics were recorded at each plot including trees present, vegetation vigor, and forest type. In addition to the forest data I used USGS maps to identify the bedrock underlying each plot, and measured soil pH of both the O horizon and B horizons. I chose these two soil horizons for my tests because pH of the O horizon is most influenced by the trees/vegetation, and the B horizon’s pH is primarily influenced by the geochemistry of the parent material.
Due to the variety of bedrock lithologies in Vermont, to simplify my research I divided my plots into four categories based on general rock types: Gneiss, Limestone/Dolomite, Quartzite, and Schist/Phyllite, based on mineral composition and relative weathering rates. I also investigated the effects of till and colluvium on soil geochemistry, because that and bedrock lithology ultimately dictate what plants can compete on the site vigorously.
In order to quantify the significance of finding a particular tree species on a plot, I found the pH preferences of each species from the World Climate Atlas and put each tree in one of three categories based on pH preference range. I observed that tree pH preference for each plot can be represented by average pH preference of the trees present, weighted by the width of the range of the tree’s pH preference. I also observed that soil geochemistry is dependent on a combination of bedrock, till and colluvium. This research helps scientists in Vermont quantify the inherent intersection between the forest cover and the geology underneath.