General comments:
The authors successfully addressed some of the issues raised in the last round of review and have substantially improved the structure as well as the language of the manuscript. Although I believe the manuscript can still benefit greatly from carefully revising the text for readability, logic, and consistency.
Main concerns:
- Regarding some of the main concerns for the previous manuscript version:
“1. The framework implemented in the study revolves around processes in terrestrial N cycles, more specifically about plant N demand and stress. However, the relevant processes are overly simplified when describing the necessity to modify current representations in the models.” In introduction, there is still the same issue that too much text is focused on the disadvantage of C-only models, while the focus should be the limitation of C-N models with fixed CNR. Especially that after talking about ecosystem N processes that regulate C cycles, it circled back to only a small portion of CMIP6 models include N cycles. As such, the paragraph mainly stresses out that C-only models cannot account for N limitations being problematic in potential overestimation of terrestrial C sequestration, whereas the performance of C-N models with fixed CNR is not mentioned at all. This creates an obvious logic gap between “C-only models does not consider N limitations” and “this new coupling framework reduces the impact of N limitations which is an advantage (e.g., lines 775ff)”. Why does the impact of N limitations need to be reduced in the first place?
“3. The need to evaluate plant C processes under the modified N processes is well motivated in the introduction. However, the connection between N processes and heat fluxes is absent”, I intended to remind adding some information on how ecosystem N processes interact with heat fluxes and why it is important to look at these variables (as how terrestrial C sink hinges on ecosystem N processes). It remains missing in the introduction and discussion as the first time “heat flux” is brought up is in Methods while being a main part of the Results. I would suggest adding a few sentences in the end of the introduction justifying the choice of all the variables.
- It is nice to see how including more dynamic N processes mostly brings modelling results closer to the observations at global as well as site levels. However, it is curious that the amplitude of mean seasonality of GPP (Figure 10) is much dampened with NIPSN and SSiB5 compared to SSiB4 which seems closer to the observations. In this sense, instead of the claim of “improvement in the simulation of the seasonal cycle in SSiB5 (lines 672ff)”, it only shows that mean monthly GPP is improved to different extents by months. This result should be explained potentially together with the changes in spatial patterns Figure 8 and Table 7. See the following studies on comparing modelling and observations for seasonality or seasonal biases of GPP:
o Lin S, Hu Z, Wang Y, Chen X, He B, Song Z, Sun S, Wu C, Zheng Y, Xia X, et al. 2023. Underestimated Interannual Variability of Terrestrial Vegetation Production by Terrestrial Ecosystem Models. Global Biogeochemical Cycles 37(4): e2023GB007696.
o MacBean N, Scott RL, Biederman JA, Peylin P, Kolb T, Litvak ME, Krishnan P, Meyers TP, Arora VK, Bastrikov V, et al. 2021. Dynamic global vegetation models underestimate net CO2 flux mean and inter-annual variability in dryland ecosystems. Environmental Research Letters 16(9).
- The shift in regional GPP biases to negative by SSiB5 shown in Table 7 requires more description and explanation in discussion which is largely omitted (e.g., lines 668ff, 786ff). It might be too much work at this point, however I wonder if it is possible to include some maps for NPP and autotropic aspiration (SSiB4 vs SSiB5) to show how to attribute the improvement in GPP. NPP and respiration (please specify autotropic, heterotrophic, or both) are also mentioned in the discussion without presenting any data (line 794). Although NlPSN, NlResp, and NlPhen are showing the effects of each process, the interactive effects on NPP and autotropic aspiration may provide some information on biases in spatial patterns and seasonality of GPP.
- I think it is great that the discussion has been expanded to additional N input. However I found a conclusive statement missing towards the end of the manuscript.
Minor points:
- Regarding the number of coupled models in CMIP6 and models with N cycle, it is unclear and potentially misleading as “10 out of 112 models include N cycle” (lines 81ff). Please clarify if you are focusing on the land vegetation models and the portion of them with interactive N module.
- If keeping results and discussion separated, please consider restraining from discussing results and referring to other studies in the result section.
- Thank you for adding the site comparison for tundra. In Figure R1, the flatline for GPP 2011-2012 seems to be connecting the missing data which should be corrected. Please check other figures as well, e.g., Figure 5m, Figure 6b, and several plots starting with flatlines.
- Please revise the captions to be independent and self-explanatory instead of “same as Figure x…”
- Please check all the table and figure captions and if they are referred to correctly (e.g., line 806 should be Table 8).
- Please make sure all the abbr. are explained first including the ones in tables.
- Please be precise with terms such as “plant N processes” vs “ecosystem N processes”, “simulation” vs “prediction” (not recommended), “Vmax” vs “Vcmax” vs “Vc, max” etc.
- Not all “C/N ratio” got replaced by “CNR”.
- I suggest the authors again to restrain from citing excessively. Please select the most representative references carefully instead of accumulating all the citations for a well-established or well-recognised statement. For instance, new lines 54ff: “Adequate C-N coupling in plant N processes has been indicated as an area that still needs intensive investigation (Thum et al., 2019; Ghimire et al., 2016; Goll et al., 2017; Yu et al., 2020; Zaehle et al., 2015; Zhu et al., 2019)” does not need all six citations to back up the need of the research (which is then repeated multiple times unnecessarily).
Line-specific comments (correspond to the pdf file with tracked changes):
- Throughout the manuscript, it remains common for the sentences with redundancy, lack of precision, unclear language, and logical inconsistency. For instance:
o Lines 73ff: “Some key plant N processes, such as N limitation on GPP, the effect of biomass N content on autotrophic respiration, plant N uptake, ecosystem N loss, and biological N fixation, have been introduced into LSMs with various complexities to determine the effects of N limitation in current land models”, from biological N fixation as one source of N input into the ecosystem and excessive N for plant use leaving the ecosystem are not necessarily plant N processes; as the effect of N on autotrophic respiration is specified as biomass N content, what about impact of N limitation on GPP? Leaf N content? Implication of such processes in LSMs is not intended to determine the effects of N limitation on models, but on C-N cycles using models… Please revise and add citations.
o Lines 78ff: “These methods include, for instance, using N to scale down the photosynthesis parameter V(c, max) (Ghimire et al., 2016; Zaehle et al., 2015) or potential GPP to reflect N availability (Gerber et al., 2010; Oleson et al., 2013; Wang et al., 2010), defining the C cost of N uptake (Fisher et al., 2010) and optimizing N allocation for leaf processes (Ali et al., 2015)”, do you mean using N availability or N stress to scale down Vcmax and potential GPP? It reads like suggesting N availability can be reflected by how Vcmax and potential GPP are scaled down by N (also, what N? Soil N or plant N uptake?), which is a logic loop; do you mean the carbon cost for BNF by Fisher et al. 2010a? Please revise and specify.
o Lines 81ff: “The wide variety of assumptions and formulations of N cycling processes and C-N coupling reflects knowledge gaps and divergent theories, and further investigation is imperative (Kou-Giesbrecht, S., et al. 2023)”, “The coupling of N processes is still an area of model development”, “In the latest Coupled Model Intercomparison Project Phase 6 (CMIP6, Eyring et al., 2016), although there were 112 different coupled models with various land surface models from 33 research teams, only about 10 models incorporated an N cycle module (Arora et al., 2020)”, and 54ff: “Adequate C-N coupling in plant N processes has been indicated as an area that still needs intensive investigation” are repetitive. Please revise and rearrange.
- Table 1: I am not sure about “dead N”.
- Line 214: change the “to” to “on” in “effects of N processes to the C cycle”.
- Line 217: what do you mean by plant fertility and how does it differ from plant productivity?
- Figure 4: site names are difficult to read.
- Figure 9: the formatting marks are visible for the texts.
- Tables 7 and 8: do MTE and GIMMS need a column for bias?
- Lines 771ff: “This study presents improvements in modeling the C cycle by introducing plant N processes into SSiB5/TRIFFID/DayCent-SOM, using DayCent-SOM to obtain the amount of N available to plants and plant soil N uptake”. Please clearly specify the improvement is only regarding the previous SSiB/Triffid model version.
- Lines 774ff: please specify that the dynamic CNR is for different PFTs (e.g., not for soil) and to what the plant resistance and responses are referred to (e.g., N stress).
- Lines 775ff: just because “these processes can increase nutrient use efficiency and reduced the impact of N limitation” and “a linear relationship … is only valid when N availability is not sufficient for the minimum N demand for new growth”, it is not clear to me how it is an advantage.
- Line 780: I don’t think “the state of plant growth” is used correctly here. It is also never mentioned elsewhere.
- Lines 782ff: it is questionable that “by comparing site-level results” can be evidence for “enhanced global model performance”. Especially that only a few sites showed noticeably improved results compared to observations. Please revise.
- Lines 785ff: “… produced significantly less absolute bias for GPP and LAI” is not tested statistically.
- Line 806: should be Table 8. |