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Empirical evidence and theoretical understanding of ecosystem carbon and nitrogen cycle interactions.

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Title: Empirical evidence and theoretical understanding of ecosystem carbon and nitrogen cycle interactions.
Authors: Stocker, Benjamin D.1,2 (AUTHOR) benjamin.stocker@unibe.ch, Dong, Ning3 (AUTHOR), Perkowski, Evan A.4 (AUTHOR), Schneider, Pascal D.1,2 (AUTHOR), Xu, Huiying5 (AUTHOR), de Boer, Hugo J.6 (AUTHOR), Rebel, Karin T.6 (AUTHOR), Smith, Nicholas G.4 (AUTHOR), Van Sundert, Kevin7,8 (AUTHOR), Wang, Han5 (AUTHOR), Jones, Sarah E.3 (AUTHOR), Prentice, I. Colin3,5 (AUTHOR), Harrison, Sandy P.5,9 (AUTHOR)
Source: New Phytologist. Jan2025, Vol. 245 Issue 1, p49-68. 20p.
Subjects: Atmospheric carbon dioxide, Ecological models, Leaf area, Biomass, Ecosystems
Abstract: Summary: Interactions between carbon (C) and nitrogen (N) cycles in terrestrial ecosystems are simulated in advanced vegetation models, yet methodologies vary widely, leading to divergent simulations of past land C balance trends. This underscores the need to reassess our understanding of ecosystem processes, given recent theoretical advancements and empirical data. We review current knowledge, emphasising evidence from experiments and trait data compilations for vegetation responses to CO2 and N input, alongside theoretical and ecological principles for modelling. N fertilisation increases leaf N content but inconsistently enhances leaf‐level photosynthetic capacity. Whole‐plant responses include increased leaf area and biomass, with reduced root allocation and increased aboveground biomass. Elevated atmospheric CO2 also boosts leaf area and biomass but intensifies belowground allocation, depleting soil N and likely reducing N losses. Global leaf traits data confirm these findings, indicating that soil N availability influences leaf N content more than photosynthetic capacity. A demonstration model based on the functional balance hypothesis accurately predicts responses to N and CO2 fertilisation on tissue allocation, growth and biomass, offering a path to reduce uncertainty in global C cycle projections. [ABSTRACT FROM AUTHOR]
Copyright of New Phytologist is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Empirical evidence and theoretical understanding of ecosystem carbon and nitrogen cycle interactions.
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  Data: <searchLink fieldCode="AR" term="%22Stocker%2C+Benjamin+D%2E%22">Stocker, Benjamin D.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> benjamin.stocker@unibe.ch</i><br /><searchLink fieldCode="AR" term="%22Dong%2C+Ning%22">Dong, Ning</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Perkowski%2C+Evan+A%2E%22">Perkowski, Evan A.</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Schneider%2C+Pascal+D%2E%22">Schneider, Pascal D.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Xu%2C+Huiying%22">Xu, Huiying</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22de+Boer%2C+Hugo+J%2E%22">de Boer, Hugo J.</searchLink><relatesTo>6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rebel%2C+Karin+T%2E%22">Rebel, Karin T.</searchLink><relatesTo>6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Smith%2C+Nicholas+G%2E%22">Smith, Nicholas G.</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Van+Sundert%2C+Kevin%22">Van Sundert, Kevin</searchLink><relatesTo>7,8</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Han%22">Wang, Han</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jones%2C+Sarah+E%2E%22">Jones, Sarah E.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Prentice%2C+I%2E+Colin%22">Prentice, I. Colin</searchLink><relatesTo>3,5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Harrison%2C+Sandy+P%2E%22">Harrison, Sandy P.</searchLink><relatesTo>5,9</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22New+Phytologist%22">New Phytologist</searchLink>. Jan2025, Vol. 245 Issue 1, p49-68. 20p.
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  Data: <searchLink fieldCode="DE" term="%22Atmospheric+carbon+dioxide%22">Atmospheric carbon dioxide</searchLink><br /><searchLink fieldCode="DE" term="%22Ecological+models%22">Ecological models</searchLink><br /><searchLink fieldCode="DE" term="%22Leaf+area%22">Leaf area</searchLink><br /><searchLink fieldCode="DE" term="%22Biomass%22">Biomass</searchLink><br /><searchLink fieldCode="DE" term="%22Ecosystems%22">Ecosystems</searchLink>
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  Data: Summary: Interactions between carbon (C) and nitrogen (N) cycles in terrestrial ecosystems are simulated in advanced vegetation models, yet methodologies vary widely, leading to divergent simulations of past land C balance trends. This underscores the need to reassess our understanding of ecosystem processes, given recent theoretical advancements and empirical data. We review current knowledge, emphasising evidence from experiments and trait data compilations for vegetation responses to CO2 and N input, alongside theoretical and ecological principles for modelling. N fertilisation increases leaf N content but inconsistently enhances leaf‐level photosynthetic capacity. Whole‐plant responses include increased leaf area and biomass, with reduced root allocation and increased aboveground biomass. Elevated atmospheric CO2 also boosts leaf area and biomass but intensifies belowground allocation, depleting soil N and likely reducing N losses. Global leaf traits data confirm these findings, indicating that soil N availability influences leaf N content more than photosynthetic capacity. A demonstration model based on the functional balance hypothesis accurately predicts responses to N and CO2 fertilisation on tissue allocation, growth and biomass, offering a path to reduce uncertainty in global C cycle projections. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of New Phytologist is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1111/nph.20178
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      – Code: eng
        Text: English
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        PageCount: 20
        StartPage: 49
    Subjects:
      – SubjectFull: Atmospheric carbon dioxide
        Type: general
      – SubjectFull: Ecological models
        Type: general
      – SubjectFull: Leaf area
        Type: general
      – SubjectFull: Biomass
        Type: general
      – SubjectFull: Ecosystems
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      – TitleFull: Empirical evidence and theoretical understanding of ecosystem carbon and nitrogen cycle interactions.
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              Text: Jan2025
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