Postdoc in Vermont (soil carbon)

Postdoctoral Position in Forest Soil Carbon and Global Change
at the University of Vermont

The University of Vermont (UVM), Rubenstein School of Environment and Natural Resources is seeking a postdoctoral researcher to help discover how climate, forest composition, and disturbance impact forest soil carbon across multiple spatial scales in northern New England. The researcher will join collaborators at the UVM, the University of New Hampshire and University of Maine to develop and conduct research exploring what drives variation in soil carbon pools and fluxes across scales. The position is available for Fall 2021 and includes two years of funding. Salary range will be between $45,000 and $50,000 depending on experience. There are a number of generous, benefits associated with the position . We anticipate the Postdoc will become a member of the Gund Community, with opportunities for engagement with other researchers as well as access to the Gund Leadership Academy (a professional development program).

PhD in soil sciences, ecosystem ecology, biogeochemistry or related fields. Experience working with models, either process or statistical, required with a preference for spatial modeling or remote sensing background. Applicants should be comfortable working independently, but also cooperatively with others on a project. Applicants should have a strong work ethic, ability to problem solve, demonstrated writing and quantitative capabilities, and a record of leadership. Training will be provided, but experience with modeling/quantitative skills and working with large datasets using programming (e.g., R, Python) is desirable.

Application: Interested applicants should contact Dr. Gillian Galford (, Dr. Carol Adair (

The University of Vermont is situated near Montreal and Boston and is located in Burlington consistently voted one of the best small cities in the US. Burlington has an increasingly ethnically and culturally diverse population and is situated on Lake Champlain in close proximity to the Green, White, and Adirondack Mountains The Gund Institute brings scholars and leaders together to accelerate research, uncover solutions and tackle the world’s most pressing environmental issues. Connecting the University of Vermont with the world, we accelerate research and bring scholars and decision makers together, focusing on environmental issues at the interface of four pressing research themes: climate solutions, health and well being, sustainable agriculture, and resilient communities.

The University of Vermont is an Equal Opportunity/Affirmative Action Employer. We encourage a diversity of applicants to apply. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category legally protected by federal or state law. The University encourages applications from all individuals who will contribute to the diversity and excellence of the institution.

Talking about drones

Lindsay “Bar” Barbieri discusses her research with drones and the inevitable question from bystanders, “what are you doing???” Bar is active with the Earth Science Information Partnership that bridges applied researchers with engineers to combine cutting edge questions and technology.

UVM PhD student Lindsay Barber launches her research drone into the sky.

UVM PhD student Lindsay Barbieri launches a drone over her field site. Photo: Joshua Brown



Congrats to our newest Master!

August marked the end of an era and the start of a new for Alison Adams. Alison defended her masters thesis “SPATIAL MODELING OF FOREST CARBON AND LAND COVER IN THE NORTHERN FOREST: METHODS, PATTERNS, AND PROJECTIONS” (abstract below). She’s finishing up two articles from her masters work on carbon modeling and forest change simulations using Dinamica EGO. Next up, Alison is embarking in the E4A program as a PhD student and will remain an active member of this research group.



The ability to monitor changes in forest extent and composition is critical to sustainably manage forested ecosystems and assess changes in the provision of ecosystem services. However, current land cover products covering the northeastern United States provide neither the spatial, informational, nor temporal resolution necessary to perform comprehensive longitudinal analyses of changes in forest cover and carbon stored in the region. Most analyses of forest cover and carbon storage consider only coarse forest types (e.g. “temperate continental, evergreen, mixed”) or employ expensive remotely-sensed products not available across large areas.


In this study we employ new land cover products that categorize forests by species association to 1) test three methods for calculating carbon stored at a landscape scale to determine the influence of species specificity on carbon storage estimates, 2) use new remotely-sensed data products that map more detailed forest species associations to quantify forest change and drivers of those changes, and 3) predict forested areas that may be vulnerable to future change based on historical patterns. Together, the results of this research provide the basis for understanding past and future changes in the region’s forests, and can inform forest management and planning at a regional scale.

Floodplains Saved Middlebury $1.8M in Avoided Damages

Story by Caroline Shapiro, re-posted from

KeriWatson_Head2_800x400_WEBPhoto by W. Watson
UVM PhD student Keri Bryan Watson led the first study to calculate the economic benefits of river wetlands and floodplains during Tropical Storm Irene and other major East Coast floods.