Literature DB >> 32285534

Ensemble projections elucidate effects of uncertainty in terrestrial nitrogen limitation on future carbon uptake.

Johannes Meyerholt1,2, Kerstin Sickel1, Sönke Zaehle1,3.   

Abstract

The magnitude of the nitrogen (N) limitation of terrestrial carbon (C) storage over the 21st century is highly uncertain because of the complex interactions between the terrestrial C and N cycles. We use an ensemble approach to quantify and attribute process-level uncertainty in C-cycle projections by analysing a 30-member ensemble representing published alternative representations of key N cycle processes (stoichiometry, biological nitrogen fixation (BNF) and ecosystem N losses) within the framework of one terrestrial biosphere model. Despite large differences in the simulated present-day N cycle, primarily affecting simulated productivity north of 40°N, ensemble members generally conform with global C-cycle benchmarks for present-day conditions. Ensemble projections for two representative concentration pathways (RCP 2.6 and RCP 8.5) show that the increase in land C storage due to CO2 fertilization is reduced by 24 ± 15% due to N constraints, whereas terrestrial C losses associated with climate change are attenuated by 19 ± 20%. As a result, N cycling reduces projected land C uptake for the years 2006-2099 by 19% (37% decrease to 3% increase) for RCP 2.6, and by 21% (40% decrease to 9% increase) for RCP 8.5. Most of the ensemble spread results from uncertainty in temperate and boreal forests, and is dominated by uncertainty in BNF (10% decrease to 50% increase for RCP 2.6, 5% decrease to 100% increase for RCP 8.5). However, choices about the flexibility of ecosystem C:N ratios and processes controlling ecosystem N losses regionally also play important roles. The findings of this study demonstrate clearly the need for an ensemble approach to quantify likely future terrestrial C-N cycle trajectories. Present-day C-cycle observations only weakly constrain the future ensemble spread, highlighting the need for better observational constraints on large-scale N cycling, and N cycle process responses to global change.
© 2020 The Authors. Global Change Biology published by John Wiley & Sons Ltd.

Entities:  

Keywords:  CO2 fertilization; biogeochemical modelling; carbon-climate feedbacks; land surface models; model evaluation; terrestrial ecosystem modelling

Year:  2020        PMID: 32285534     DOI: 10.1111/gcb.15114

Source DB:  PubMed          Journal:  Glob Chang Biol        ISSN: 1354-1013            Impact factor:   10.863


  2 in total

1.  Process-oriented analysis of dominant sources of uncertainty in the land carbon sink.

Authors:  Michael O'Sullivan; Pierre Friedlingstein; Stephen Sitch; Peter Anthoni; Almut Arneth; Vivek K Arora; Vladislav Bastrikov; Christine Delire; Daniel S Goll; Atul Jain; Etsushi Kato; Daniel Kennedy; Jürgen Knauer; Sebastian Lienert; Danica Lombardozzi; Patrick C McGuire; Joe R Melton; Julia E M S Nabel; Julia Pongratz; Benjamin Poulter; Roland Séférian; Hanqin Tian; Nicolas Vuichard; Anthony P Walker; Wenping Yuan; Xu Yue; Sönke Zaehle
Journal:  Nat Commun       Date:  2022-08-15       Impact factor: 17.694

2.  Rising CO2 and warming reduce global canopy demand for nitrogen.

Authors:  Ning Dong; Ian J Wright; Jing M Chen; Xiangzhong Luo; Han Wang; Trevor F Keenan; Nicholas G Smith; Iain Colin Prentice
Journal:  New Phytol       Date:  2022-04-22       Impact factor: 10.323

  2 in total

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