Terrestrial biosphere models underestimate photosynthetic capacity and CO 2 assimilation in the Arctic

Terrestrial biosphere models (TBMs) are highly sensitive to model representation of photosynthesis, in particular the parameters maximum carboxylation rate and maximum electron transport rate at 25°C (V c,max.25 and J max.25 , respectively). Many TBMs do not include representation of Arctic plants,...

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Published in:New Phytologist
Main Authors: Rogers, Alistair, Serbin, Shawn P., Ely, Kim S., Sloan, Victoria L., Wullschleger, Stan D.
Language:unknown
Published: 2021
Subjects:
Online Access:http://www.osti.gov/servlets/purl/1392220
https://www.osti.gov/biblio/1392220
https://doi.org/10.1111/nph.14740
id ftosti:oai:osti.gov:1392220
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spelling ftosti:oai:osti.gov:1392220 2023-07-30T04:00:44+02:00 Terrestrial biosphere models underestimate photosynthetic capacity and CO 2 assimilation in the Arctic Rogers, Alistair Serbin, Shawn P. Ely, Kim S. Sloan, Victoria L. Wullschleger, Stan D. 2021-12-31 application/pdf http://www.osti.gov/servlets/purl/1392220 https://www.osti.gov/biblio/1392220 https://doi.org/10.1111/nph.14740 unknown http://www.osti.gov/servlets/purl/1392220 https://www.osti.gov/biblio/1392220 https://doi.org/10.1111/nph.14740 doi:10.1111/nph.14740 54 ENVIRONMENTAL SCIENCES 2021 ftosti https://doi.org/10.1111/nph.14740 2023-07-11T09:21:11Z Terrestrial biosphere models (TBMs) are highly sensitive to model representation of photosynthesis, in particular the parameters maximum carboxylation rate and maximum electron transport rate at 25°C (V c,max.25 and J max.25 , respectively). Many TBMs do not include representation of Arctic plants, and those that do rely on understanding and parameterization from temperate species. We then measured photosynthetic CO 2 response curves and leaf nitrogen (N) content in species representing the dominant vascular plant functional types found on the coastal tundra near Barrow, Alaska. The activation energies associated with the temperature response functions of Vc,max and Jmax were 17% lower than commonly used values. When scaled to 25°C, Vc,max.25 and J max.25 were two- to five-fold higher than the values used to parameterize current TBMs. This high photosynthetic capacity was attributable to a high leaf N content and the high fraction of N invested in Rubisco. Leaf-level modeling demonstrated that current parameterization of TBMs resulted in a two-fold underestimation of the capacity for leaf-level CO 2 assimilation in Arctic vegetation. Our study highlights the poor representation of Arctic photosynthesis in TBMs, and provides the critical data necessary to improve our ability to project the response of the Arctic to global environmental change. Other/Unknown Material Arctic Barrow Tundra Alaska SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) Arctic New Phytologist 216 4 1090 1103
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
Rogers, Alistair
Serbin, Shawn P.
Ely, Kim S.
Sloan, Victoria L.
Wullschleger, Stan D.
Terrestrial biosphere models underestimate photosynthetic capacity and CO 2 assimilation in the Arctic
topic_facet 54 ENVIRONMENTAL SCIENCES
description Terrestrial biosphere models (TBMs) are highly sensitive to model representation of photosynthesis, in particular the parameters maximum carboxylation rate and maximum electron transport rate at 25°C (V c,max.25 and J max.25 , respectively). Many TBMs do not include representation of Arctic plants, and those that do rely on understanding and parameterization from temperate species. We then measured photosynthetic CO 2 response curves and leaf nitrogen (N) content in species representing the dominant vascular plant functional types found on the coastal tundra near Barrow, Alaska. The activation energies associated with the temperature response functions of Vc,max and Jmax were 17% lower than commonly used values. When scaled to 25°C, Vc,max.25 and J max.25 were two- to five-fold higher than the values used to parameterize current TBMs. This high photosynthetic capacity was attributable to a high leaf N content and the high fraction of N invested in Rubisco. Leaf-level modeling demonstrated that current parameterization of TBMs resulted in a two-fold underestimation of the capacity for leaf-level CO 2 assimilation in Arctic vegetation. Our study highlights the poor representation of Arctic photosynthesis in TBMs, and provides the critical data necessary to improve our ability to project the response of the Arctic to global environmental change.
author Rogers, Alistair
Serbin, Shawn P.
Ely, Kim S.
Sloan, Victoria L.
Wullschleger, Stan D.
author_facet Rogers, Alistair
Serbin, Shawn P.
Ely, Kim S.
Sloan, Victoria L.
Wullschleger, Stan D.
author_sort Rogers, Alistair
title Terrestrial biosphere models underestimate photosynthetic capacity and CO 2 assimilation in the Arctic
title_short Terrestrial biosphere models underestimate photosynthetic capacity and CO 2 assimilation in the Arctic
title_full Terrestrial biosphere models underestimate photosynthetic capacity and CO 2 assimilation in the Arctic
title_fullStr Terrestrial biosphere models underestimate photosynthetic capacity and CO 2 assimilation in the Arctic
title_full_unstemmed Terrestrial biosphere models underestimate photosynthetic capacity and CO 2 assimilation in the Arctic
title_sort terrestrial biosphere models underestimate photosynthetic capacity and co 2 assimilation in the arctic
publishDate 2021
url http://www.osti.gov/servlets/purl/1392220
https://www.osti.gov/biblio/1392220
https://doi.org/10.1111/nph.14740
geographic Arctic
geographic_facet Arctic
genre Arctic
Barrow
Tundra
Alaska
genre_facet Arctic
Barrow
Tundra
Alaska
op_relation http://www.osti.gov/servlets/purl/1392220
https://www.osti.gov/biblio/1392220
https://doi.org/10.1111/nph.14740
doi:10.1111/nph.14740
op_doi https://doi.org/10.1111/nph.14740
container_title New Phytologist
container_volume 216
container_issue 4
container_start_page 1090
op_container_end_page 1103
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