the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Eco-evolutionary Modelling of Global Vegetation Dynamics and the Impact of CO2 during the late Quaternary: Insights from Contrasting Periods
Abstract. Changes in climate have had major impacts on global vegetation during the Quaternary. However, variations in CO2 levels also play a role in shaping vegetation dynamics by influencing plant productivity and water-use efficiency, and consequently the relative competitive success of the C3 and C4 photosynthetic pathways. We use an eco-evolutionary optimality (EEO) based modelling approach to examine the impacts of climate fluctuations and CO2-induced alterations on gross primary production (GPP). We considered two contrasting periods, the Last Glacial Maximum (LGM, 21,000 years before present) and the mid-Holocene (MH, 6,000 years before present) and compared both to pre-industrial conditions (PI). The LGM, characterised by generally colder and drier climate, had a CO2 level close to the minimum for effective C3 plant operation. In contrast, the MH had warmer summers and increased monsoonal rainfall in the northern hemisphere, although with a CO2 level still below PI. We simulated vegetation primary production at the LGM and the MH compared to the PI baseline using a light-use efficiency model that simulates GPP coupled to an EEO model that simulates leaf area index (LAI) and C3/C4 competition. We found that low CO2 at the LGM was nearly as important as climate in reducing tree cover, increasing the abundance of C4 plants and lowering GPP. Global GPP in the MH was similar to the PI (although greater than the LGM), also reflecting CO2 constraints on plant growth despite the positive impacts of warmer and/or wetter climates experienced in the northern hemisphere and tropical regions. These results emphasise the importance of taking account of impacts of changing CO2 levels on plant growth to model ecosystem changes.
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RC1: 'Comment on egusphere-2024-3897', Anonymous Referee #1, 10 Mar 2025
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This paper presents an eco-evolutionary optimality (EEO)-based modeling approach to examine the effects of climate fluctuations and CO₂ levels on GPP during the Last Glacial Maximum (LGM, 21,000 years before present) and the mid-Holocene (MH, 6,000 years before present), relative to pre-industrial conditions (PI). The study effectively integrates climate and vegetation models to assess the influence of CO₂ constraints, climate variability, and solar radiation on plant productivity and C3/C4 competition. However, I have concerns regarding the novelty and broader implications of this work, particularly how it advances beyond previous factorial simulations.
The impacts of changing CO₂ levels on plant growth have already been incorporated into many land surface models (LSMs) and Earth System Models (ESMs), though the magnitude of physiological effects differs between models. The authors should clarify how this study advances prior work and explicitly discuss its implications for ecosystem modeling.
A direct comparison with existing models (e.g., DGVMs, LSMs, and ESMs) would strengthen the study’s contribution. How does the EEO-based approach improve upon these models in simulating GPP and C3/C4 competition?
The study reports an LGM GPP estimate of 84 PgC, within the CMIP6/PMIP4 range of 61–109 PgC. There is large inter-model variability (spanning tens of PgC). The authors conclude that CO₂ effects led to a 3 PgC reduction in GPP during MH, while climate changes contributed to a 2 PgC increase, yielding a net difference of only 1 PgC. Given the large uncertainty in model estimates, is this difference statistically significant? Could this conclusion be influenced by model structural biases or sensitivity to parameter choices?
Citation: https://doi.org/10.5194/egusphere-2024-3897-RC1 -
AC1: 'Reply on RC1', Sandy Harrison, 04 Apr 2025
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The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2025/egusphere-2024-3897/egusphere-2024-3897-AC1-supplement.pdf
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AC1: 'Reply on RC1', Sandy Harrison, 04 Apr 2025
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Model code and software
CMIP6 MPI-ESM1-2-LR outputs Earth System Federation Grid http://esgf-node.llnl.gov/search/cmip6/
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