DOE Data Explorer title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Shrub Expansion Simulations at Trail Valley Creek Tundra site using E3SM Land Model (ELM) Arctic-focused Version

Abstract

The warming of the Arctic is causing substantial compositional, structural, and functional changes in tundra vegetation including shrub and densification in parts of the Arctic. Assessing the impact of these changes in vegetation composition on the Arctic’s carbon and energy budgets is important to constrain projected local and global surface-atmosphere exchanges. We conduct a sensitivity analysis of the projected surface energy fluxes, soil carbon pools, and carbon dioxide fluxes (net ecosystem exchange, gross primary production, and ecosystem respiration) between present day and 2100 to different shrub expansion rates and air temperature increases under future emission scenarios (intermediate – RCP4.5, and high – RCP8.5) using the Arctic-focused version of the Energy Exascale Earth System Model (E3SM) Land Model (ELM). We focus on Trail Valley Creek (TVC), a mineral upland tundra site located in the western Canadian Arctic, which is experiencing tall shrub densification and expansion. In this study, we run TVC under two different warming scenarios RCP4.5 and RCP 8.5 and simulate different shrubification rates projected until year 2100. In this repository, we include all the forcing, input, parameters, and output data corresponding to all the simulations performed. flmd.csv includes a detailed description of the datasets files.

Authors:
ORCiD logo ; ; ; ; ; ; ; ; ; ; ; ; ; ;
  1. Ohio State University; Ohio State University
  2. Ohio State University
  3. Université de Montréal
  4. Princeton University
  5. Wilfrid Laurier University
  6. Environment and Climate Change Canada
  7. Lawrence Berkeley National Laboratory
  8. Oak Ridge National Laboratory
Publication Date:
DOE Contract Number:  
SC0023084
Research Org.:
Environmental System Science Data Infrastructure for a Virtual Ecosystem; Decoding the unifying microbial metabolic controllers on soil carbon cycling across freshwater wetlands (DE-SC0023084)
Sponsoring Org.:
U.S. DOE > Office of Science > Biological and Environmental Research (BER)
Subject:
54 ENVIRONMENTAL SCIENCES; Arctic Tundra; E3SM Land Model (ELM); EARTH SCIENCE > LAND SURFACE > FROZEN GROUND > ACTIVE LAYER; EARTH SCIENCE > LAND SURFACE > SOILS > CARBON; EARTH SCIENCE > LAND SURFACE > SOILS > PERMAFROST; EARTH SCIENCE > LAND SURFACE > SOILS > SOIL MOISTURE/WATER CONTENT; EARTH SCIENCE > LAND SURFACE > SOILS > SOIL RESPIRATION; ESS-DIVE CSV File Formatting Guidelines Reporting Format; ESS-DIVE File Level Metadata Reporting Format; Land Surface Models; Shrub Encroachment
OSTI Identifier:
2507189
DOI:
https://doi.org/10.15485/2507189

Citation Formats

Yazbeck, Theresia, Bohrer, Gil, Sonnentag, Oliver, Qu, Bo, Detto, Matteo, Hould Gosselin, Gabriel, Graveline, Vincent, Alcock, Haley, Lecavalier, Bruno, Marsh, Philip, Cannon, Alex, Riley, William J., Zhu, Qing, Yuan, Fengming, and Sulman, Benjamin. Shrub Expansion Simulations at Trail Valley Creek Tundra site using E3SM Land Model (ELM) Arctic-focused Version. United States: N. p., 2024. Web. doi:10.15485/2507189.
Yazbeck, Theresia, Bohrer, Gil, Sonnentag, Oliver, Qu, Bo, Detto, Matteo, Hould Gosselin, Gabriel, Graveline, Vincent, Alcock, Haley, Lecavalier, Bruno, Marsh, Philip, Cannon, Alex, Riley, William J., Zhu, Qing, Yuan, Fengming, & Sulman, Benjamin. Shrub Expansion Simulations at Trail Valley Creek Tundra site using E3SM Land Model (ELM) Arctic-focused Version. United States. doi:https://doi.org/10.15485/2507189
Yazbeck, Theresia, Bohrer, Gil, Sonnentag, Oliver, Qu, Bo, Detto, Matteo, Hould Gosselin, Gabriel, Graveline, Vincent, Alcock, Haley, Lecavalier, Bruno, Marsh, Philip, Cannon, Alex, Riley, William J., Zhu, Qing, Yuan, Fengming, and Sulman, Benjamin. 2024. "Shrub Expansion Simulations at Trail Valley Creek Tundra site using E3SM Land Model (ELM) Arctic-focused Version". United States. doi:https://doi.org/10.15485/2507189. https://www.osti.gov/servlets/purl/2507189. Pub date:Tue Dec 31 23:00:00 EST 2024
@article{osti_2507189,
title = {Shrub Expansion Simulations at Trail Valley Creek Tundra site using E3SM Land Model (ELM) Arctic-focused Version},
author = {Yazbeck, Theresia and Bohrer, Gil and Sonnentag, Oliver and Qu, Bo and Detto, Matteo and Hould Gosselin, Gabriel and Graveline, Vincent and Alcock, Haley and Lecavalier, Bruno and Marsh, Philip and Cannon, Alex and Riley, William J. and Zhu, Qing and Yuan, Fengming and Sulman, Benjamin},
abstractNote = {The warming of the Arctic is causing substantial compositional, structural, and functional changes in tundra vegetation including shrub and densification in parts of the Arctic. Assessing the impact of these changes in vegetation composition on the Arctic’s carbon and energy budgets is important to constrain projected local and global surface-atmosphere exchanges. We conduct a sensitivity analysis of the projected surface energy fluxes, soil carbon pools, and carbon dioxide fluxes (net ecosystem exchange, gross primary production, and ecosystem respiration) between present day and 2100 to different shrub expansion rates and air temperature increases under future emission scenarios (intermediate – RCP4.5, and high – RCP8.5) using the Arctic-focused version of the Energy Exascale Earth System Model (E3SM) Land Model (ELM). We focus on Trail Valley Creek (TVC), a mineral upland tundra site located in the western Canadian Arctic, which is experiencing tall shrub densification and expansion. In this study, we run TVC under two different warming scenarios RCP4.5 and RCP 8.5 and simulate different shrubification rates projected until year 2100. In this repository, we include all the forcing, input, parameters, and output data corresponding to all the simulations performed. flmd.csv includes a detailed description of the datasets files.},
doi = {10.15485/2507189},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Dec 31 23:00:00 EST 2024},
month = {Tue Dec 31 23:00:00 EST 2024}
}