Simulated effects of nitrogen saturation on the global carbon budget using the IBIS model
Type de ressource
Auteurs/contributeurs
- Lu, Xuehe (Auteur)
- Jiang, Hong (Auteur)
- Liu, Jinxun (Auteur)
- Zhang, Xiuying (Auteur)
- Jin, Jiaxin (Auteur)
- Zhu, Qiuan (Auteur)
- Zhang, Zhen (Auteur)
- Peng, Changhui (Auteur)
Titre
Simulated effects of nitrogen saturation on the global carbon budget using the IBIS model
Résumé
Abstract
Over the past 100 years, human activity has greatly changed the rate of atmospheric N (nitrogen) deposition in terrestrial ecosystems, resulting in N saturation in some regions of the world. The contribution of N saturation to the global carbon budget remains uncertain due to the complicated nature of C-N (carbon-nitrogen) interactions and diverse geography. Although N deposition is included in most terrestrial ecosystem models, the effect of N saturation is frequently overlooked. In this study, the IBIS (Integrated BIosphere Simulator) was used to simulate the global-scale effects of N saturation during the period 1961–2009. The results of this model indicate that N saturation reduced global NPP (Net Primary Productivity) and NEP (Net Ecosystem Productivity) by 0.26 and 0.03 Pg C yr
−1
, respectively. The negative effects of N saturation on carbon sequestration occurred primarily in temperate forests and grasslands. In response to elevated CO
2
levels, global N turnover slowed due to increased biomass growth, resulting in a decline in soil mineral N. These changes in N cycling reduced the impact of N saturation on the global carbon budget. However, elevated N deposition in certain regions may further alter N saturation and C-N coupling.
Publication
Scientific Reports
Volume
6
Numéro
1
Pages
39173
Date
2016-12-14
Abrév. de revue
Sci Rep
Langue
en
ISSN
2045-2322
Consulté le
18/11/2024 15:35
Catalogue de bibl.
DOI.org (Crossref)
Référence
Lu, X., Jiang, H., Liu, J., Zhang, X., Jin, J., Zhu, Q., Zhang, Z., & Peng, C. (2016). Simulated effects of nitrogen saturation on the global carbon budget using the IBIS model. Scientific Reports, 6(1), 39173. https://doi.org/10.1038/srep39173
Auteur·e·s
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