I am an applied forest ecologist, data science consultant, and Graduate Research Fellow in the Forest Geospatial Lab at Michigan State University.
My research and consulting interests are generally structured around the integration of field studies, “big data”, and advanced statistics to solve pressing issues in forest management and ecology. My current work involves quantifying forest structural restoration needs in the Pacific Northwest, specifically detecting and attributing multidecadal changes in the “ecological departure” of forest landscapes in the region. I am also leading efforts to advance understanding of the consequences of disturbance, climate, and management legacies on temperate forest demography and biomass dynamics across multiple scales.
I am the lead author and maintainer of rFIA, an R package designed to increase the accessibility and use of the USFS Forest Inventory and Analysis (FIA) Database. 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.
Michigan State Univeristy
PhD Environmental and Forest Science
Univeristy of Washington
MS Forestry, 2020
Michigan State Univeristy
BS Forestry, 2019
Michigan State University
The nature of forest disturbances are changing, yet consequences for forest dynamics remain uncertain. Using a new index, Stanke et al. show the populations of over half of the most abundant tree species in the western US have declined in the last two decades, with grim implications for how temperate forests globally will respond to sustained anthropogenic and natural stress.
I help firms leverage data (big and small) and analytics to improve their decision making processes. Many of my clients come from the forest products industry and natural climate solutions space, and I particularly enjoy drawing on my background in forestry to design solutions to environmental and resource management problems.
My services include, but are not limited to:
As the lead author and maintainer of the rFIA R package, I have developed unique expertise and familiarity with the USFS Forest Inventory and Analysis (FIA) Database. The FIA Database is among the richest ecological datasets in the world, with primary applications in forest health monitoring, carbon accounting, remote sensing, and broad-scale timber product monitoring. Despite being publicly available, complexity in database structure, data coding, and sampling design make the FIA Database extremely difficult to access - even for experienced users.
Contact me to see how I can help!
Traditional methods to assess landscape connectivity often fail to address functional connectivity, that is they fail to consider the …
Widespread fire suppression (early 20th century to present day) and intensive tree harvesting (19th to early 20th century) have shifted …
Inter-individual contact is a key element affecting the transmission of infectious disease, and variation in contact structure can …
The composition and configuration of local landscapes influences animal behavior and may lead to directionally-biased movement patterns …
An R package for estimating forest variables with the Forest Inventory and Analysis Database.