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

Dataset · Wed Jan 01 04:00:00 EST 2025

DOI:https://doi.org/10.15485/2507189· OSTI ID:2507189

Yazbeck, Theresia ^[1]; Bohrer, Gil ^[2]; Sonnentag, Oliver ^[3]; Qu, Bo ^[3]; Detto, Matteo ^[4]; Hould Gosselin, Gabriel ^[3]; Graveline, Vincent ^[3]; Alcock, Haley ^[3]; Lecavalier, Bruno ^[3]; Marsh, Philip ^[5]; Cannon, Alex ^[6]; Riley, William J. ^[7]; Zhu, Qing ^[7]; Yuan, Fengming ^[8]; Sulman, Benjamin ^[8]

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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

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.

• Research Organization: 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 Organization: U.S. DOE > Office of Science > Biological and Environmental Research (BER)
• DOE Contract Number: SC0023084
• OSTI ID: 2507189
• Country of Publication: United States
• Language: English

Related Subjects

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