Progress 01/15/23 to 01/14/24
Outputs Target Audience:We presented results from our project to the scientific community at the 2023 American Geophysical Union Fall Meeting in San Francisco, CA. Additionally, two journal articles encapsulating some of our key findings has been published in research journals of "Geoderma" and 'Biogeochemistry'. Detailed information about the paper and presentation can be found in the "Products" section of the report. Changes/Problems:The original Principal Investigator (PI), Dr. Steven Hall, departed from ISU in the summer of 2023. This departure resulted in some delays due to the necessary project transfer and personnel changes, including the relocation of a senior personnel, Dr. Wenjuan Huang. We are requesting a one-year no-cost extension to complete this project. During the proposed extended period, our focus will be on the enhancement of the soil organic carbon (SOC) module in three agroecosystem models. This enhancement involves the integration of δ13C values of SOC pools and fluxes, which have already been tested by comparing them with lab incubation results. In the upcoming year, our objective is to assess whether these models can effectively simulate SOC stock and changes in the field. To achieve this, we plan to utilize historical records of weather patterns, cropping choices, and in-field management practices to drive the model. We aim to develop "real-world" scenarios, wherein the model-estimated values will be compared with field measurement data. This process will demonstrate the efficacy of isotope-enabled agroecosystem models in tracking soil carbon sequestration and loss over time. What opportunities for training and professional development has the project provided?This project funded the salary of Dr. Wenjuan Huang, an early-career Research Scientist and former postdoc, who has undertaken extensive data/model synthesis under PD Hall's guidance. Dr. Huang has enhanced her modeling and computational skills through specialized workshops, and has gained additional training in public speaking and writing abilities via Hall's lab mentorship. Additionally, the project has also supported the training and mentorship of a PhD candidate Bo Yi. His research centers on the isotope-enabled Dynamic Land Ecosystem Model (DLEM) development, focusing on model improvement, data/model inter-comparisons using soil samples from Marsden field, and working on the model upscaling to from model from field-level analyses to regional-scale applications. How have the results been disseminated to communities of interest? Academic publication and International conferences We published two peer-reviewed papers in academic journals and presented our research findings at the 2023 AGU fall meetings. Outreach/Extension Practical Farmers of Iowa 2023 Annual Conference, Ames, IA (January 2023). Reframing the conversations around soil carbon (60-minute presentation and discussion targeted to farmers, policymakers, and landowners). What do you plan to do during the next reporting period to accomplish the goals?We will continue working on refining the manuscript (ready to submit), delineating our insights into the tradeoff between carbon sequestration and nitrogen supply from diversified cropping systems in Marsden experiment. Furthermore, the SOC modules, calibrated with lab data, have been extended to field-level simulations. The field simulations are driven by historical records on land use, fertilizer management, and climate data. Currently, we are engaged in calibrating these models with field-measurement, e.g., crop yields, for regional simulations. The isootope-enabled agroecosystem models will be used to project the long-term soil carbon dynamics under various cropping systems.
Impacts What was accomplished under these goals?
We made major progress on each of the four goals outlined above, which I will summarize for each. (1) Measure d13C of C inputs, SOC pools, and selected fluxes among cropping systems at three field experiments In our comprehensive assessment of diversified cropping systems at Marsden, we have measured soil textures (including loam, sandy loam, and clay content) and soil nitrogen mineralization rates. This evaluation aims to understand the impact of these systems on soil carbon and nitrogen, thereby informing model improvements. Our findings indicated a lack of change in soil organic carbon (SOC) within the 20-year Marsden diversified cropping systems experiment. This could be attributed to a trade-off between carbon sequestration and nitrogen supply. Specifically, despite increased root input in diversified systems, there is an acceleration in soil carbon decomposition, which increase carbon loss in older pools and enhances soil nitrogen supply. These insights, coupled with our model analysis, have been synthesized into a manuscript that is ready for submission and peer review. (2) Revise and/or develop new model code to track the d13C values of C pools and fluxes in ecosystem models The δ13C values of C pools and fluxes were integrated and coded into the SOC modules of three ecosystem models--the Dynamic Land Ecosystem Model (DLEM), the Agricultural Production System Simulator (APSIM), and the agricultural version of the Integrated Biosphere Simulator (Agro-IBIS), to develop isotope-enabled carbon cycling modules. We calibrated these SOC modules using 406-day lab incubation data from Marsden. This data encompassed CO2 fluxes and corresponding δ13C values, providing constraints on the decay rates of root and soil carbon pools. A strategic approach was employed to assess the significance of isotope features in diversified cropping systems by calibrating models both with and without isotope values. 3) Compare measured data with model predictions Models comparison revealed that decay rates of root and soil carbon pools differ across various cropping systems. Notably, soil carbon pools with 'month to decade' residence times were effectively simulated by diversified cropping systems, supporting our finding in lab incubations. Additionally, our research identified distinct parameter values for the decay rates of root and soil carbon pools among different cropping systems. Crucially, models that did not account for these parameter variations tended to underestimate CO2 emissions from more diversified rotational cropping systems by approximately 25%. These results were featured in an AGU presentation led by a PhD candidate Bo Yi.
Publications
- Type:
Journal Articles
Status:
Published
Year Published:
2023
Citation:
Huang, W., Mirabito, A.J., Tenesaca, C.G. et al. Controls on organic and inorganic soil carbon in poorly drained agricultural soils with subsurface drainage. Biogeochemistry 163, 121137 (2023). https://doi.org/10.1007/s10533-023-01026-x
- Type:
Journal Articles
Status:
Published
Year Published:
2023
Citation:
Leeford M, Mavi MS, Liptzin D, Hall SJ. 2023. Potential carbon mineralization assays are confounded by different soil drying temperatures. Geoderma 437: 116596
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Progress 01/15/22 to 01/14/23
Outputs Target Audience:To communicate results from our project to practitioners and policy makers, Hall gave an hour-long presentation and discussion titled "Reframing the conversations around soil carbon" in the Practical Farmers of Iowa annual meeting in January 2023, which was focused on soil carbon and associated environmental issues in agroecosystems. This presentation largely focused on results from our current NIFA project. We presented results from our project to the scientific community in three presentations (two talks and a poster) at the 2022 American Geophysical Union Fall Meeting in Chicago, IL. Details for these presentations are as follows are provided in the "Products" section of the report. Some of the findings from this third talk are included in a manuscript under review in Biogeochemistry (major revisions were requested), with the following details (included here because it is not yet officially accepted). However, the data from this study have been published, with doi provided in the "Other Products" section Controls on organic and inorganic soil carbon distribution in a poorly drained agroecosystem. Huang W, Mirabito A, Tenesaca CG, Mejia-Garcia WF, Lawrence N, Kaleita AL, VanLoocke A, Hall SJ. Changes/Problems:
Nothing Reported
What opportunities for training and professional development has the project provided?This project funded the salary of an early-career Research Scientist (formerly, a postdoc), Dr. Wenjuan Huang, who has conducted much of the data/model synthesis work under the supervision of PD Hall. She has gained additional training through workshops on modeling/computational skills, and in public speaking and writing through mentorship by Hall's lab group. The project also supported the training and mentorship of a PhD student, Bo Yi, who is focusing his research on the isotope-enabled DLEM model and data/model intercomparison using soils from cropping systems along with natural ecosystems as a benchmark. The project provided direct support for undergraduate technicians who assisted with soil sampling and laboratory measurements. Finally, samples from this project were also used in an undergraduate lab course taught by PD Hall, where students conducted their own soil incubations and soil analyses. How have the results been disseminated to communities of interest?The presentations and publications associated with this project are described along with the specific research objectives in the "Major goals" section, as well as in the "Products" section What do you plan to do during the next reporting period to accomplish the goals?We will finish the empirical analyses of soils from the COBS experiment. We will continue the data-model comparison and calibration/validation work described above. We will continue working on the manuscripts describing our initial results from the Marsden experiment and the new methods for carbonate detection and analysis described above. We will begin work to upscale our modeling analyses for comparison with existing d13C data available from other published field experiments.
Impacts What was accomplished under these goals?
We made major progress on each of the four goals outlined above, which I will summarize for each. (1) Measure d13C of C inputs, SOC pools, and selected fluxes among cropping systems at three field experiments. We finished sampling soils from the three field experiments, and we have finished laboratory incubations and analyses of samples from two of the experiments. Incubations and soil analyses are ongoing for the Comparison of Biofuel Systems (COBS) samples. Perhaps our most important finding thus far was a lack of change in soil organic carbon (SOC) in the 20-year Marsden diversified cropping systems experiment, despite large differences in the d13C values of soil respiration and detectable differences in the d13C of SOC. Together, these data indicated that increased root inputs in the diversified cropping systems stimulated the decomposition of existing SOC, thus preventing additional SOC gains. This interpretation is further supported by our data-model comparison described below. These results were presented in an AGU poster led by Research Scientist Dr. Wenjuan Huang. While comprehensively measuring the d13C values of organic carbon pools and fluxes in these soils, we also became aware of critical issues regarding the treatment of inorganic carbon. With our detailed isotopic measurements, we have uncovered systematic biases associated with a common protocol for removing inorganic carbon from soils, which is typically a prerequisite for measuring organic carbon. We have developed a new method to measure d13C of organic carbon by measuring total carbon and inorganic carbon separately, which avoids the biases that we detected using the carbonate removal method. In short, the common acid fumigation method used to remove carbonate can fail to completely remove carbonate, and it can also destroy a significant amount of organic carbon. These results were presented in an AGU talk by PD Hall and are in preparation for publication. Finally, our C isotope measurements in a long-term corn-soybean cropping experiment enabled us to test explanations for spatial variation in SOC associated with topography and cropped depressional wetlands. In conjunction with other biogeochemical measurements, the C isotope data showed that increased SOC in poorly drained depressional soils was likely derived from pre-agricultural plant inputs and erosion of topsoil from the adjacent field. We found no evidence that ongoing C inputs from corn and soybean were accumulating in these depressions, despite their poor drainage characteristics, and we suggest that gaining additional SOC in these systems will require fundamental management changes. These results were presented in a separate AGU talk by PD Hall and are described in a manuscript submitted to Biogeochemistry that was led by Research Scientist Dr. Wenjuan Huang (in second review, major revisions requested). (2) Revise and/or develop new model code to track the d13C values of C pools and fluxes in ecosystem models We have now successfully added and/or improved the capacity to track d13C values of C pools and fluxes to the three ecosystem models described in the proposal, the Dynamic Land Ecosystem Model (DLEM), the Agricultural Production System Simulator (APSIM) and the agricultural version of the Integrated Biosphere Simulator (Agro-IBIS). In the process, we have also improved the basic representation of soil C fluxes in Agro-IBIS, as including d13C enabled us to find subtle inconsistencies in the existing model code for C fluxes. (3) Compare measured data with model predictions. We have begun to use our field and laboratory data to calibrate and validate the isotope-enabled models. We have focused so far on modeling the Marsden diversified crop rotation experiment, which had the largest variation in carbon isotope values of the experiments that we sampled. When modeling the data from our laboratory soil incubation, we found that including d13C values of C fluxes as an additional constraint during parameterization greatly reduced the uncertainty around parameter estimates, while also changing the values of several key parameters. Our model/data comparison also shed light on the intriguing finding of no change in SOC in the Marsden diversified cropping systems experiment. The isotope-enabled DLEM and Agro-IBIS models both suggested that an increase in decomposition of older SOC pools in the extended rotations (three and four-year rotations) can explain the lack of SOC gains in these systems, despite greater root inputs. We are finalizing the explicit representation of d13C of CO2 in APSIM so we can include this model in the comparison as well. (4) Synthesis and outreach: To communicate results from our project to practitioners and policy makers, Hall gave an hour-long presentation and discussion titled "Reframing the conversations around soil carbon" in the Practical Farmers of Iowa annual meeting in January 2023, which was focused on soil carbon and associated environmental issues in agroecosystems. This presentation largely focused on results from our current NIFA project. Details surrounding our conference presentations and manuscripts in review and in preparation are described above.
Publications
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2022
Citation:
Diversified Cropping Systems Do Not Necessarily Increase Soil Organic Carbon. W Huang, SJ Hall, MD McDaniel, M Liebman. American Geophysical Union Fall Meeting, December 2022.
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2022
Citation:
Quantify Carbonate Directly (Rather Than Removing it) When Measuring Soil Organic Carbon. SJ Hall, BW Johnson, W Huang. American Geophysical Union Fall Meeting, December 2022.
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2022
Citation:
Follow the Water: Using Sub-Field Hydrologic Variation to Inform Climate-Smart Agricultural Practices. SJ Hall, W Huang, A Mirabito, CG Tenesaca, W Mejia-Garcia, N Lawrence, AL Kaleita, E Heaton, A VanLoocke. American Geophysical Union Fall Meeting, December 2022.
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Progress 01/15/21 to 01/14/22
Outputs Target Audience:We hired staff for the project and began data collection, synthesis, and modeling efforts but have not yet presented any findings to our target audience Changes/Problems:
Nothing Reported
What opportunities for training and professional development has the project provided?A PhD student has been mentored in data/model integration as a result of this project. How have the results been disseminated to communities of interest?
Nothing Reported
What do you plan to do during the next reporting period to accomplish the goals?We will continue with our measurement and modeling activities to address objectives 1 and 2, and given sufficient progress, we will be able to begin objective 3. The outreach objective will be addressed via presentations to stakeholders (Practical Farmers of Iowa Annual Meeting) planned for early 2023.
Impacts What was accomplished under these goals?
1) We addressed objective one by collecting soil from local experiments for measurements of C isotope pools/fluxes, which are in progress. To better initialize our models, we also conducted a literature survey to compile existing C isotope data and environmental covariates from other studies in the Corn Belt region. 2) We addressed objective two by preparing input data for our cropping systems model, and by preparing a simple spreadsheet model of C isotope flow to validate equations prior to incorporating them into the existing models. we have not yet begun to address objectives 3/4
Publications
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