Primary Objective: I am part of a multi-institutional research team (North Carolina State University, Texas A&M University, USDA Forest Service) working on coastal forest responses to climate, land use, and sea level rise.
Analysis of the impacts of rising sea-level, extreme weather events (e.g., droughts and hurricanes), and rising temperature associated with climate change are changing the controlling mechanisms of soil carbon cycling differently in the managed vs. natural forests.
This work uses eddy covariance methodology to quantify the net ecosystem exchange of carbon, water, and energy combined with plot level measurements of forest NPP, respiration, soil C formation and cycling, nutrient and water relations to better understand the effects of changing climate and land use on climate feedbacks of lower coastal plain forests.
Field work is conducted at three eddy covariance towers in eastern North Carolina.
The rate of sea-level rise (SLR) is not uniform around the globe, with the highest rate occurring along the Atlantic coast of North America between Cape Hatteras and Cape Cod, due to
factors including local currents, tides and glacial isostatic rebound.
Natural bottomland hardwood swamp (AmeriFlux site US-NC4)
Alligator River National Wildlife Refuge in Dare County, NC.
Mature loblolly pine plantations
(AmeriFlux site US-NC2)
Young loblolly pine plantations
(AmeriFlux site US-NC3)
If the cumulative carbon value is negative, carbon was absorbed by soil (Carbon sink).
If cumulative carbon value is positive, carbon is released by the soil (Carbon source).
Global warming potential of methane is 25 times that of the carbon-di-oxide
The past three decades have seen prolonged periods of increasing atmospheric methane.
Strong growth in methane resumed in 2007.
The reasons for these observed changes remain poorly understood
Wavelet multiresolution analysis breaks down a signal into constituent sinusoids of different frequencies.
The original methane time series, measured at Alligator River, along with its constituent series, operating at four different resolutions have been shown:
Sub-daily and daily correspond to the fast frequencies.
Monthly and meso correspond to the slow moving frequencies.
Mutual information content is greater than zero, with higher values indicative of a larger reduction in uncertainty.
The different frequencies :
d1-d6 : diurnal (1 hour – 1.33 days).
d7-d10 : synoptic (2.67 - 21.33 days)
d11 : Phenological (42.67 days).
Scale-specific analysis correlation analysis found greatest information about methane dynamics from plant activity can be obtained at diurnal scale