4 results found
Although many forests are actively sequestering carbon, little research has examined the direct effects of forest management practices on carbon sequestration. At the Howland Forest in Maine, USA, we are using eddy covariance and biometric techniques to evaluate changes in carbon storage following…
Keywords: forest management, forest carbon budgets, carbon sequestration, shelterwood cut, Howland Forest, Maine
Source: Environmental Management. 33(S1): S9-S22.
Year: 2004
There is a need to document how plant phenology is responding to global change factors, particularly warming trends. "Near-surface" remote sensing, using radiometric instruments or imaging sensors, has great potential to improve phenological monitoring because automated observations can be made at…
Keywords: AmeriFlux, autumn color, Bartlett Experimental Forest, New Hampshire, USA, eddy covariance, Howland Forest, Maine, USA, phenology, RGB image analysis, spring onset, webcam
Source: Ecological Applications: 19(6): 1417-1428.
Year: 2009
We conducted an inverse modeling analysis, using a variety of data streams (tower-based eddy covariance measurements of net ecosystem exchange, NEE, of CO2, chamber-based measurements of soil respiration, and ancillary ecological measurements of leaf area index, litterfall, and woody biomass…
Keywords: Carbon cycle, Data-model fusion, Eddy covariance, Howland Forest, Inverse modeling, Parameter estimation, Uncertainty
Source: Oecologia. 164: 25-40.
Year: 2010
Quantifying climate-growth relationships at the stand level in a mature mixed-species conifer forest
A range of environmental factors regulate tree growth; however, climate is generally thought to most strongly influence year-to-year variability in growth. Numerous dendrochronological (tree-ring) studies have identified climate factors that influence year-to-year variability in growth for given…
Keywords: biomass increment, canopy position, climate change, dendrochronology, forest carbon cycle, Howland Forest, tree growth response
Source: Global Change Biology
Year: 2018