Carbon-phosphorus cycle models overestimate CO 2 enrichment response in a mature Eucalyptus forest Article Swipe
Mingkai Jiang
,
Belinda E. Medlyn
,
David Wårlind
,
Jürgen Knauer
,
Katrin Fleischer
,
Daniel S. Goll
,
Stefan Olin
,
Xiaojuan Yang
,
Lin Yu
,
Sönke Zaehle
,
Haicheng Zhang
,
He Lv
,
Kristine Y. Crous
,
Yolima Carrillo
,
Catriona A. Macdonald
,
Ian C. Anderson
,
Matthias M. Boer
,
Mark Farrell
,
Andrew N. Gherlenda
,
Laura Castañeda‐Gómez
,
Shun Hasegawa
,
Klaus Jarosch
,
Paul J. Milham
,
Raúl Ochoa‐Hueso
,
Varsha S. Pathare
,
Johanna Pihlblad
,
J. Piñeiro
,
Jeff R. Powell
,
Sally A. Power
,
Peter B. Reich
,
Markus Riegler
,
David S. Ellsworth
,
Benjamin Smith
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1126/sciadv.adl5822
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1126/sciadv.adl5822
The importance of phosphorus (P) in regulating ecosystem responses to climate change has fostered P-cycle implementation in land surface models, but their CO 2 effects predictions have not been evaluated against measurements. Here, we perform a data-driven model evaluation where simulations of eight widely used P-enabled models were confronted with observations from a long-term free-air CO 2 enrichment experiment in a mature, P-limited Eucalyptus forest. We show that most models predicted the correct sign and magnitude of the CO 2 effect on ecosystem carbon (C) sequestration, but they generally overestimated the effects on plant C uptake and growth. We identify leaf-to-canopy scaling of photosynthesis, plant tissue stoichiometry, plant belowground C allocation, and the subsequent consequences for plant-microbial interaction as key areas in which models of ecosystem C-P interaction can be improved. Together, this data-model intercomparison reveals data-driven insights into the performance and functionality of P-enabled models and adds to the existing evidence that the global CO 2 -driven carbon sink is overestimated by models.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1126/sciadv.adl5822
- https://www.science.org/doi/pdf/10.1126/sciadv.adl5822?download=true
- OA Status
- gold
- Cited By
- 13
- References
- 88
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4400345034
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4400345034Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1126/sciadv.adl5822Digital Object Identifier
- Title
-
Carbon-phosphorus cycle models overestimate CO 2 enrichment response in a mature Eucalyptus forestWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-07-03Full publication date if available
- Authors
-
Mingkai Jiang, Belinda E. Medlyn, David Wårlind, Jürgen Knauer, Katrin Fleischer, Daniel S. Goll, Stefan Olin, Xiaojuan Yang, Lin Yu, Sönke Zaehle, Haicheng Zhang, He Lv, Kristine Y. Crous, Yolima Carrillo, Catriona A. Macdonald, Ian C. Anderson, Matthias M. Boer, Mark Farrell, Andrew N. Gherlenda, Laura Castañeda‐Gómez, Shun Hasegawa, Klaus Jarosch, Paul J. Milham, Raúl Ochoa‐Hueso, Varsha S. Pathare, Johanna Pihlblad, J. Piñeiro, Jeff R. Powell, Sally A. Power, Peter B. Reich, Markus Riegler, David S. Ellsworth, Benjamin SmithList of authors in order
- Landing page
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https://doi.org/10.1126/sciadv.adl5822Publisher landing page
- PDF URL
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https://www.science.org/doi/pdf/10.1126/sciadv.adl5822?download=trueDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.science.org/doi/pdf/10.1126/sciadv.adl5822?download=trueDirect OA link when available
- Concepts
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Eucalyptus, Phosphorus, Carbon cycle, Environmental science, Climate change, Carbon fibers, Ecosystem, Water cycle, Atmospheric sciences, Forest ecology, Ecology, Environmental chemistry, Chemistry, Biology, Geology, Materials science, Composite material, Composite number, Organic chemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
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13Total citation count in OpenAlex
- Citations by year (recent)
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2025: 10, 2024: 3Per-year citation counts (last 5 years)
- References (count)
-
88Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| corresponding_author_ids | https://openalex.org/A5044288982 |
| countries_distinct_count | 11 |
| institutions_distinct_count | 33 |
| corresponding_institution_ids | https://openalex.org/I63525965, https://openalex.org/I76130692 |
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| citation_normalized_percentile.is_in_top_10_percent | True |