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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, B
Dong, N
Perkowski, EA
Schneider, PD
Xu, H
De Boer, H
Rebel, KT
Smith, NG
Van Sundert, K
Wang, H
Jones, SE
Prentice, IC
Harrison, SP
Item Type: Journal Article
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.
Issue Date: 23-Oct-2024
Date of Acceptance: 6-Sep-2024
URI: http://hdl.handle.net/10044/1/114376
DOI: 10.1111/nph.20178
ISSN: 0028-646X
Publisher: Wiley
Journal / Book Title: New Phytologist
Copyright Statement: © 2024 The Author(s). New Phytologist © 2024 New Phytologist Foundation. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
Publication Status: Published online
Online Publication Date: 2024-10-23
Appears in Collections:Grantham Institute for Climate Change
Faculty of Natural Sciences



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