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

Benjamin D. Stocker*, Ning Dong, Evan A. Perkowski, Pascal D. Schneider, Huiying Xu, Hugo J. de Boer, Karin T. Rebel, Nicholas G. Smith, Kevin Van Sundert, Han Wang, Sarah E. Jones, I. Colin Prentice, Sandy P. Harrison

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)49-68
Number of pages20
JournalNew Phytologist
Volume245
Issue number1
Early online date23 Oct 2024
DOIs
Publication statusPublished - Jan 2025

Bibliographical note

Publisher Copyright:
© 2024 The Author(s). New Phytologist © 2024 New Phytologist Foundation.

Funding

BDS was funded by the Swiss National Science Foundation grant PCEFP2_181115. ICP and ND acknowledge support from the ERC\u2010funded project REALM (Re\u2010inventing Ecosystem And Land\u2010surface Models, grant no.: 787203). HW acknowledges support from the National Natural Science Foundation of China (no.: 31971495) and the High End Foreign Expert awards at Tsinghua University to SPH and ICP (GDW2023102014). NGS acknowledges funding from Texas Tech University and the US National Science Foundation (DEB\u20102045968, DEB\u20102217354). KVS acknowledges support from the Research Foundation\u2010Flanders (FWO award no.: 1222323N). This work is a contribution to the LEMONTREE (Land Ecosystem Models based On New Theory, obseRvations and ExperimEnts) project, funded through the generosity of Eric and Wendy Schmidt by recommendation of the Schmidt Futures programme. We thank contributors to and coordinators of T rendy v.8: Stephen Sitch, Pierre Friedlingstein, Vanessa Haverd, Vivek Arora, Danica Lombardozzi, Hanqin Tian, Atul Jain, Julia Nabel, Andy Wiltshire, Benjamin Poulter, Peter Anthoni, Sebastian Lienert, S\u00F6nke Zaehle, Vladislav Bastrikov, Daniel Goll, Patrick McGuire, Emilie Joetzjer and Etsushi Kato.

FundersFunder number
Texas Tech University
Fonds Wetenschappelijk Onderzoek1222323N
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungPCEFP2_181115, 787203
National Science FoundationDEB‐2045968, DEB‐2217354
National Natural Science Foundation of China31971495
Tsinghua UniversityGDW2023102014

    Keywords

    • acclimation
    • allocation
    • carbon cycle
    • Dynamic Global Vegetation Models
    • eco-evolutionary optimality
    • meta-analysis
    • nitrogen cycle

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