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Events Calendar for rsenr



Tuesday, September 8, 2015

UVM Staff Council meeting

Time: 12:05 p.m. to 1:30 p.m.
Location: Davis Center, Livak Ballroom
Description: Davis Center, Livak Ballroom

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Wednesday, September 9, 2015

RSENR Master's Seminar & Defense: Andrea Urbano

Time: 9:30 a.m. to 10:30 a.m.
Location: Aiken 103
Description: Long-term forest structural development and carbon dynamics as influenced by land-use history and reforestation pathway

By Andrea R. Urbano

Seminar: 9:30 am, Aiken 103
Defense: 10:30 am, Aiken 103

Committee
William S. Keeton, Ph.D., Professor, RSENR, Advisor
Stephanie E. Hurley, DDes, Assistant Professor, Department of Plant and Soil Science, Chair
Carol E. Adair, Ph.D., Assistant Professor, RSENR

ABSTRACT
Temperate forests are an important carbon sink, yet there is uncertainty regarding land-use history effects on biomass accumulation potential in secondary forests. Understanding long-term biomass dynamics is important for managing forests as carbon sinks and for co-benefits such as watershed protection and biodiversity. To improve this understanding, we employed a longitudinal study based on twelve years of empirical data (2001-2013) collected from 60 permanent monitoring plots within 16 reference stands at the Marsh-Billings-Rockefeller National Historical Park in Woodstock, VT. This research evaluates the long-term effects of reforestation approaches (planting vs. natural regeneration) and management history (low harvest intensities at varied frequencies) on biomass outcomes. We generated biometrics indicative of stand structural complexity, including the H’ index, and aboveground biomass (live trees, snags, and downed coarse woody debris pools) estimates. Multivariate analyses evaluated the relative predictive strength of reforestation approach, management history, and site characteristics for carbon pools and structural complexity indicators.

Classification and Regression Tree analysis ranked reforestation method as the strongest predictor of long-term mean total aboveground carbon storage, while harvest frequency, and stand age were selected as secondary variables. Forest percent conifer was the strongest predictor of H’ index, while harvest intensity and frequency were secondary variables. Our results suggest that a variety of long-term recovery pathways converge on high levels of aboveground carbon storage, but choice of silvicultural management can dramatically alter those trajectories. Total aboveground biomass co-varied with H’ (R2 = 0.25). Thus, our dataset had a positive relationship between forest carbon storage and structural complexity, supporting the concept of multifunctional forestry emphasizing late-successional habitats.

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Thursday, September 10, 2015

1st Annual RSENR Summer Student Internship/Research Slam

Time: 4:30 p.m. to 6:00 p.m.
Location: Aiken 103
Description: Aiken 103
Hear about some of the awesome experiences many RSENR undergrads had this summer and see some of their incredible photos!

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