Non-growing Season Plant Nutrient Uptake Controls Arctic Tundra Vegetation Composition: Modeling Archive

This Modeling Archive is in support of a NGEE-Arctic publication: Riley et al. (2021) ?Non-growing season plant nutrient uptake controls Arctic tundra vegetation composition under future climate?. DOI. The dataset contains ? ecosys ? model outputs reported in Riley et al. (2021) that examines the ro...

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Main Authors: Riley, William, Mekonnen, Zelalem, Tang, Jinyun, Zhu, Qing, Bouskill, Nicholas, Grant, Robert
Language:unknown
Published: 2022
Subjects:
Online Access:http://www.osti.gov/servlets/purl/1785957
https://www.osti.gov/biblio/1785957
https://doi.org/10.5440/1785957
id ftosti:oai:osti.gov:1785957
record_format openpolar
spelling ftosti:oai:osti.gov:1785957 2023-07-30T04:00:22+02:00 Non-growing Season Plant Nutrient Uptake Controls Arctic Tundra Vegetation Composition: Modeling Archive Riley, William Mekonnen, Zelalem Tang, Jinyun Zhu, Qing Bouskill, Nicholas Grant, Robert 2022-01-20 application/pdf http://www.osti.gov/servlets/purl/1785957 https://www.osti.gov/biblio/1785957 https://doi.org/10.5440/1785957 unknown http://www.osti.gov/servlets/purl/1785957 https://www.osti.gov/biblio/1785957 https://doi.org/10.5440/1785957 doi:10.5440/1785957 54 Environmental Sciences 2022 ftosti https://doi.org/10.5440/1785957 2023-07-11T10:03:55Z This Modeling Archive is in support of a NGEE-Arctic publication: Riley et al. (2021) ?Non-growing season plant nutrient uptake controls Arctic tundra vegetation composition under future climate?. DOI. The dataset contains ? ecosys ? model outputs reported in Riley et al. (2021) that examines the role of non-growing season (NGS) nutrient dynamics on 21st century vegetation composition. The study highlighted the importance of these nutrient dynamics on the emergent plant functional type distributions, focusing on their role in shrub expansion. The study showed that ignoring NGS nutrient dynamics led to a dramatic under-prediction of shrub expansion by year 2100, motivating the need to include these processes in Earth System Models. Included are modeled net primary production (NPP) and nitrogen (N) uptake for two scenarios: (1) baseline and (2) no NGS N uptake. The output is provided (1) at 25 km resolution across the North American tundra; (2) for years 2012 through 2100; and (3) PFT-specific. The 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 ... Other/Unknown Material Arctic Barrow Nome north slope permafrost Seward Peninsula Tundra Alaska SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) Arctic Riley ENVELOPE(-147.617,-147.617,-86.183,-86.183)
institution Open Polar
collection SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy)
op_collection_id ftosti
language unknown
topic 54 Environmental Sciences
spellingShingle 54 Environmental Sciences
Riley, William
Mekonnen, Zelalem
Tang, Jinyun
Zhu, Qing
Bouskill, Nicholas
Grant, Robert
Non-growing Season Plant Nutrient Uptake Controls Arctic Tundra Vegetation Composition: Modeling Archive
topic_facet 54 Environmental Sciences
description This Modeling Archive is in support of a NGEE-Arctic publication: Riley et al. (2021) ?Non-growing season plant nutrient uptake controls Arctic tundra vegetation composition under future climate?. DOI. The dataset contains ? ecosys ? model outputs reported in Riley et al. (2021) that examines the role of non-growing season (NGS) nutrient dynamics on 21st century vegetation composition. The study highlighted the importance of these nutrient dynamics on the emergent plant functional type distributions, focusing on their role in shrub expansion. The study showed that ignoring NGS nutrient dynamics led to a dramatic under-prediction of shrub expansion by year 2100, motivating the need to include these processes in Earth System Models. Included are modeled net primary production (NPP) and nitrogen (N) uptake for two scenarios: (1) baseline and (2) no NGS N uptake. The output is provided (1) at 25 km resolution across the North American tundra; (2) for years 2012 through 2100; and (3) PFT-specific. The 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 ...
author Riley, William
Mekonnen, Zelalem
Tang, Jinyun
Zhu, Qing
Bouskill, Nicholas
Grant, Robert
author_facet Riley, William
Mekonnen, Zelalem
Tang, Jinyun
Zhu, Qing
Bouskill, Nicholas
Grant, Robert
author_sort Riley, William
title Non-growing Season Plant Nutrient Uptake Controls Arctic Tundra Vegetation Composition: Modeling Archive
title_short Non-growing Season Plant Nutrient Uptake Controls Arctic Tundra Vegetation Composition: Modeling Archive
title_full Non-growing Season Plant Nutrient Uptake Controls Arctic Tundra Vegetation Composition: Modeling Archive
title_fullStr Non-growing Season Plant Nutrient Uptake Controls Arctic Tundra Vegetation Composition: Modeling Archive
title_full_unstemmed Non-growing Season Plant Nutrient Uptake Controls Arctic Tundra Vegetation Composition: Modeling Archive
title_sort non-growing season plant nutrient uptake controls arctic tundra vegetation composition: modeling archive
publishDate 2022
url http://www.osti.gov/servlets/purl/1785957
https://www.osti.gov/biblio/1785957
https://doi.org/10.5440/1785957
long_lat ENVELOPE(-147.617,-147.617,-86.183,-86.183)
geographic Arctic
Riley
geographic_facet Arctic
Riley
genre Arctic
Barrow
Nome
north slope
permafrost
Seward Peninsula
Tundra
Alaska
genre_facet Arctic
Barrow
Nome
north slope
permafrost
Seward Peninsula
Tundra
Alaska
op_relation http://www.osti.gov/servlets/purl/1785957
https://www.osti.gov/biblio/1785957
https://doi.org/10.5440/1785957
doi:10.5440/1785957
op_doi https://doi.org/10.5440/1785957
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