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A synthesis study of the terrestrial ecosystem carbon cycle at various temporal and spatial scales

Sponsor: USDA - National Institute of Food and Agriculture

Daniel Hayes and Xinyuan Wei - University of Maine
Rodrigo Vargas - University of Delaware

Research Summary

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Project Description

This research includes analyzing the impacts of wildfires on the global terrestrial biosphere carbon cycle, assessing the patterns of biome carbon fluxes in response to droughts at different time scales, and estimating carbon fluxes with Terrestrial Ecosystem Model. This includes modeling the lateral dissolved organic carbon (DOC) flux into an earth system model. The lateral DOC flux from soils to inland waters is a fundamental component of the global carbon cycle; however, considerable debate has been proposed as to how climate change and anthropogenic actives alter the spatio-temporal patterns and potential fates of DOC flux. To access the delivery process and potential fates of DOC flux, a process-based terrestrial-aquatic DOC fluxes model was developed (TAF-DOC), which has the ability to estimate the spatial and temporal dynamics of DOC flux through incorporating various environmental factors (e.g., sulfur and nitrogen deposition, land cover and landscape) that have not been completely included or well represented in existing modeling frameworks. The TAF-DOC model is used to estimate DOC flux and potential fates in the conterminous United States.

Project Type - select all applicable

Applied Research Project
Faculty Research Project
Industry Outreach Project
Public Service Project
Student Project

Project Applications - select all applicable

Arctic Ecosystems and Permafrost Landscapes
Carbon Cycle
Climate Change
Conservation
Forestry
Project-Based Learning
Remote Sensing Applications
Terrestrial Biosphere Modeling
Terrestrial Ecosystem
Tourism

Project Technologies - select all applicable

GIS
Hyperspectral
Lidar
Machine Learning
Multispectral
Piloted Aircraft
Remote Sensing
Statistical Modeling
UAV

Featured Image

http://wheatlandlab.org/wp-content/uploads/2020/01/XinyuanFig1.jpg

Additional Project Images

http://wheatlandlab.org/wp-content/uploads/2020/01/XinyuanFig3.jpg

http://wheatlandlab.org/wp-content/uploads/2020/01/XinyuanFig4.jpg

http://wheatlandlab.org/wp-content/uploads/2020/01/XinyuanFig2.jpg

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Project URL - if any

Applications:

Carbon Cycle, Climate Change, Remote Sensing Applications, Terrestrial Biosphere Modeling, Terrestrial Ecosystem

Technologies:

GIS, Machine Learning, Remote Sensing, Statistical Modeling

Contact:

Daniel Hayes

daniel.j.hayes@maine.edu

Structure and workflow of the process-based terrestrial-aquatic DOC fluxes model (TAF-DOC)

The spatial patterns of mean annual DOC loading from terrestrial to aquatic ecosystems in each watershed during 1985-2018

Mean of grid-weighted average annual pyrogenic carbon (g C m-2 yr-1) produced by fires

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