I am a PhD student in the The Harvey Lab and the Ecosystem Biogeochemistry Group in School of Environmental and Forest Science at the University of Washington, and current Graduate Research Fellow with the National Science Foundation.
My research interests lie at the intersection of disturbance, landscape, and ecosystem ecology. While still in development, my PhD research will be broadly focused on carbon consequences of forest disturbance and understanding climatic controls on forest demographic processes across multiple scales. I completed an MS in Forestry at Michigan State University, where my research focused on software development for the USFS Forest Inventory and Analysis program and estimation of broad-scale demographic consequences of forest disturbance and climate for top western tree species.
I am also the lead author and maintainer of rFIA, an R package designed to unlock the national Forest Inventory and Analysis (FIA) database in R. Check out our website for more information, tutorials, and documentation on rFIA. You can also find us on CRAN and GitHub, and in a recent article in Environmental Modeling and Software. For bug reports or feature requests, please see our active issues page.
PhD Environmental and Forest Science, Current
Univeristy of Washington
MS Forest Science, 2020
Michigan State Univeristy
BS Forestry, 2019
Michigan State University
Forest Inventory and Analysis (FIA) is a US Department of Agriculture Forest Service program that aims to monitor changes in forests across the US. FIA hosts one of the largest ecological datasets in the world, though its complexity limits access for many potential users. rFIA is an R package designed to simplify the estimation of forest attributes using data collected by the FIA Program. Specifically, rFIA improves access to the spatio-temporal estimation capacity of the FIA Database via space–time indexed summaries of forest variables within user-defined population boundaries (e.g., geographic, temporal, biophysical). The package implements multiple design-based estimators, and has been validated against official estimates and sampling errors produced by the FIA Program. We demonstrate the utility of rFIA by assessing changes in abundance and mortality rates of ash (Fraxinus spp.) populations in the Lower Peninsula of Michigan following the establishment of emerald ash borer (Agrilus planipennis).
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