Literature DB >> 28877330

Terrestrial biosphere models underestimate photosynthetic capacity and CO2 assimilation in the Arctic.

Alistair Rogers1, Shawn P Serbin1, Kim S Ely1, Victoria L Sloan2, Stan D Wullschleger2.   

Abstract

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 (Vc,max.25 and Jmax.25 , respectively). Many TBMs do not include representation of Arctic plants, and those that do rely on understanding and parameterization from temperate species. We measured photosynthetic CO2 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 Jmax.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 CO2 assimilation in Arctic vegetation. This 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. No claim to original US Government works. New Phytologist
© 2017 New Phytologist Trust.

Entities:  

Keywords:  Rubisco; earth system models; maximum carboxylation capacity (Vc,max); maximum electron transport rate (Jmax); photosynthesis; temperature response function; tundra

Mesh:

Substances:

Year:  2017        PMID: 28877330     DOI: 10.1111/nph.14740

Source DB:  PubMed          Journal:  New Phytol        ISSN: 0028-646X            Impact factor:   10.151


  7 in total

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Journal:  Remote Sens Environ       Date:  2019-07-27       Impact factor: 10.164

2.  Effect of growth temperature on photosynthetic capacity and respiration in three ecotypes of Eriophorum vaginatum.

Authors:  Jessica L Schedlbauer; Ned Fetcher; Katherine Hood; Michael L Moody; Jianwu Tang
Journal:  Ecol Evol       Date:  2018-03-06       Impact factor: 2.912

3.  Greening of the land surface in the world's cold regions consistent with recent warming.

Authors:  T F Keenan; W J Riley
Journal:  Nat Clim Chang       Date:  2018-08-20

4.  Multi-hypothesis comparison of Farquhar and Collatz photosynthesis models reveals the unexpected influence of empirical assumptions at leaf and global scales.

Authors:  Anthony P Walker; Abbey L Johnson; Alistair Rogers; Jeremiah Anderson; Robert A Bridges; Rosie A Fisher; Dan Lu; Daniel M Ricciuto; Shawn P Serbin; Ming Ye
Journal:  Glob Chang Biol       Date:  2020-10-31       Impact factor: 10.863

5.  Global climate and nutrient controls of photosynthetic capacity.

Authors:  Yunke Peng; Keith J Bloomfield; Lucas A Cernusak; Tomas F Domingues; I Colin Prentice
Journal:  Commun Biol       Date:  2021-04-12

6.  Assessing dynamic vegetation model parameter uncertainty across Alaskan arctic tundra plant communities.

Authors:  Eugénie S Euskirchen; Shawn P Serbin; Tobey B Carman; Jennifer M Fraterrigo; Hélène Genet; Colleen M Iversen; Verity Salmon; A David McGuire
Journal:  Ecol Appl       Date:  2021-12-13       Impact factor: 6.105

7.  Global photosynthetic capacity is optimized to the environment.

Authors:  Nicholas G Smith; Trevor F Keenan; I Colin Prentice; Han Wang; Ian J Wright; Ülo Niinemets; Kristine Y Crous; Tomas F Domingues; Rossella Guerrieri; F Yoko Ishida; Jens Kattge; Eric L Kruger; Vincent Maire; Alistair Rogers; Shawn P Serbin; Lasse Tarvainen; Henrique F Togashi; Philip A Townsend; Meng Wang; Lasantha K Weerasinghe; Shuang-Xi Zhou
Journal:  Ecol Lett       Date:  2019-01-04       Impact factor: 9.492

  7 in total

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