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Title: Leaf Area Index (LAI) of vegetation at the Teller site, Seward Peninsula, Alaska, 2017

Abstract

Measurements of leaf area index (LAI) at 299 locations on the "tall shrub transect" at the NGEE Arctic Teller field site. Measurements were made on 2017-07-27 using a LiCor LAI-2200. The dataset includes dGPS locations, raw measurements, processed data and R script used for processing.NGEE Arctic Project SummaryThe Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a 10-year research effort (2012-2022) to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy?s Office of Biological and Environmental Research.The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska.Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy?s Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).

Authors:
ORCiD logo
Publication Date:
Other Number(s):
NGA111
DOE Contract Number:  
DE-AC05-00OR22725
Product Type:
Dataset
Research Org.:
Next Generation Ecosystems Experiment - Arctic, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US); NGEE Arctic, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
Subject:
54 Environmental Sciences
Keywords:
LAI; Leaf area index; Teller Road, Seward Peninsula, Alaska
OSTI Identifier:
1631418
DOI:
10.5440/1631418

Citation Formats

Serbin, Shawn. Leaf Area Index (LAI) of vegetation at the Teller site, Seward Peninsula, Alaska, 2017. United States: N. p., 2020. Web. doi:10.5440/1631418.
Serbin, Shawn. Leaf Area Index (LAI) of vegetation at the Teller site, Seward Peninsula, Alaska, 2017. United States. doi:10.5440/1631418.
Serbin, Shawn. 2020. "Leaf Area Index (LAI) of vegetation at the Teller site, Seward Peninsula, Alaska, 2017". United States. doi:10.5440/1631418. https://www.osti.gov/servlets/purl/1631418. Pub date:Mon Dec 28 00:00:00 EST 2020
@article{osti_1631418,
title = {Leaf Area Index (LAI) of vegetation at the Teller site, Seward Peninsula, Alaska, 2017},
author = {Serbin, Shawn},
abstractNote = {Measurements of leaf area index (LAI) at 299 locations on the "tall shrub transect" at the NGEE Arctic Teller field site. Measurements were made on 2017-07-27 using a LiCor LAI-2200. The dataset includes dGPS locations, raw measurements, processed data and R script used for processing.NGEE Arctic Project SummaryThe Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a 10-year research effort (2012-2022) to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy?s Office of Biological and Environmental Research.The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska.Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy?s Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).},
doi = {10.5440/1631418},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2020},
month = {12}
}

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