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

O'Sullivan, Michael; Friedlingstein, Pierre; Sitch, Stephen; Anthoni, Peter; Arneth, Almut; Arora, Vivek K; Bastrikov, Vladislav; Delire, Christine; Goll, Daniel S; Jain, Atul; Kato, Etsushi; Kennedy, Daniel; Knauer, Jürgen; Lienert, Sebastian; Lombardozzi, Danica; McGuire, Patrick C; Melton, Joe R; Nabel, Julia E M S; Pongratz, Julia; Poulter, Benjamin; ... (2022). Process-oriented analysis of dominant sources of uncertainty in the land carbon sink. Nature communications, 13(1), p. 4781. Nature Publishing Group 10.1038/s41467-022-32416-8

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The observed global net land carbon sink is captured by current land models. All models agree that atmospheric CO2 and nitrogen deposition driven gains in carbon stocks are partially offset by climate and land-use and land-cover change (LULCC) losses. However, there is a lack of consensus in the partitioning of the sink between vegetation and soil, where models do not even agree on the direction of change in carbon stocks over the past 60 years. This uncertainty is driven by plant productivity, allocation, and turnover response to atmospheric CO2 (and to a smaller extent to LULCC), and the response of soil to LULCC (and to a lesser extent climate). Overall, differences in turnover explain ~70% of model spread in both vegetation and soil carbon changes. Further analysis of internal plant and soil (individual pools) cycling is needed to reduce uncertainty in the controlling processes behind the global land carbon sink.

Item Type:

Journal Article (Original Article)

Division/Institute:

08 Faculty of Science > Physics Institute > Climate and Environmental Physics
08 Faculty of Science > Physics Institute

UniBE Contributor:

Lienert, Sebastian

Subjects:

500 Science > 530 Physics

ISSN:

2041-1723

Publisher:

Nature Publishing Group

Language:

English

Submitter:

Pubmed Import

Date Deposited:

17 Aug 2022 10:26

Last Modified:

05 Dec 2022 16:22

Publisher DOI:

10.1038/s41467-022-32416-8

PubMed ID:

35970991

BORIS DOI:

10.48350/172117

URI:

https://boris.unibe.ch/id/eprint/172117

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