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  A global trait-based approach to estimate leaf nitrogen functional allocation from observations

Ghimire, B., Riley, W. J., Koven, C. D., Kattge, J., Rogers, A., Reich, P. B., & Wright, I. J. (2017). A global trait-based approach to estimate leaf nitrogen functional allocation from observations. Ecological Applications, 27(5), 1421-1434. doi:10.1002/eap.1542.

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資料種別: 学術論文

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BGC2644.pdf (出版社版), 2MB
 
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 作成者:
Ghimire , Bardan, 著者
Riley, William J., 著者
Koven, Charles D., 著者
Kattge, Jens1, 著者           
Rogers, Alistair, 著者
Reich, Peter B., 著者
Wright, Ian J., 著者
所属:
1Interdepartmental Max Planck Fellow Group Functional Biogeography, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1938314              

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 要旨: Nitrogen is one of the most important nutrients for plant growth and a major constituent of proteins that regulate photosynthetic and respiratory processes. However, a comprehensive global analysis of nitrogen allocation in leaves for major processes with respect to different plant functional types (PFTs) is currently lacking. This study integrated observations from global databases with photosynthesis and respiration models to determine plantfunctional- type-specific allocation patterns of leaf nitrogen for photosynthesis (Rubisco, electron transport, light absorption) and respiration (growth and maintenance), and by difference from observed total leaf nitrogen, an unexplained “residual” nitrogen pool. Based on our analysis, crops partition the largest fraction of nitrogen to photosynthesis (57%) and respiration (5%) followed by herbaceous plants (44% and 4%). Tropical broadleaf evergreen trees partition the least to photosynthesis (25%) and respiration (2%) followed by needle-leaved evergreen trees (28% and 3%). In trees (especially needle-leaved evergreen and tropical broadleaf evergreen trees) a large fraction (70% and 73%, respectively) of nitrogen was not explained by photosynthetic or respiratory functions. Compared to crops and herbaceous plants, this large residual pool is hypothesized to emerge from larger investments in cell wall proteins, lipids, amino acids, nucleic acid, CO2 fixation proteins (other than Rubisco), secondary compounds, and other proteins. Our estimates are different from previous studies due to differences in methodology and assumptions used in deriving nitrogen allocation estimates. Unlike previous studies, we integrate and infer nitrogen allocation estimates across multiple PFTs, and report substantial differences in nitrogen allocation across different PFTs. The resulting pattern of nitrogen allocation provides insights on mechanisms that operate at a cellular scale within leaves, and can be integrated with ecosystem models to derive emergent properties of ecosystem productivity at local, regional, and global scales.

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 日付: 2017-02-132017-05-242017-07
 出版の状態: 出版
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 識別子(DOI, ISBNなど): その他: BGC2644
DOI: 10.1002/eap.1542
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出版物 1

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出版物名: Ecological Applications
種別: 学術雑誌
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出版社, 出版地: Tempe, AZ : Ecological Society of America
ページ: - 巻号: 27 (5) 通巻号: - 開始・終了ページ: 1421 - 1434 識別子(ISBN, ISSN, DOIなど): ISSN: 1051-0761
CoNE: https://pure.mpg.de/cone/journals/resource/954925593483