ID:
publications-1858
Type:
Peer reviewed articles
Year:
2024
Authors:
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
Title:
Empirical evidence and theoretical understanding of ecosystem carbon and nitrogen cycle interactions
Venue/Journal:
New Phytologist
DOI:
10.1111/nph.20178
Research type:
AI & Machine Learning
Water System:
Precipitation & Ecological Systems
Technical Focus:
Abstract:
SummaryInteractions 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 leafâlevel photosynthetic capacity. Wholeâplant 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.
Link with Projects:
787203
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