Progress 08/01/23 to 09/14/24
Outputs Target Audience:The target audience is researchers in soil hydrology and soil health, and stakeholder groups. Changes/Problems:The project is ending early due to a transfer of PD to another institution andit will be continued at the new institution What opportunities for training and professional development has the project provided?(i) Training of a Ph.D. student in soil hydrology and soil heath areas. (ii) Outcomes were incorporated into a graduate level class on "Applied Agrohydrology". How have the results been disseminated to communities of interest?An extension article:Resiliency Against Agricultural Droughts and Excess Water https://extension.psu.edu/resiliency-against-agricultural-droughts-and-excess-water. What do you plan to do during the next reporting period to accomplish the goals?
Nothing Reported
Impacts What was accomplished under these goals?
Objective #1: Quantify change in crop root zone available water capacityresulting from realistically achievablesoil organic carbon increase across conterminous U.S. 1) Major activities completed / experiments conducted: Simulated AWC change resulting from 1-5% SOC in 1% increments for 12 unique soil texturesat contrasting aridity zones during 42 years using carbon-sensitive pedotransfer functions. 2) Data collected: Under each model run, we collected altered (improved) AWC values. 3) Summary statistics and discussion of results: Field capacity and permanent wilting points of sandy clay soil had the highest sensitivity to unit change in SOC, while silt soil was minimally sensitive. 4) Key outcomes or other accomplishments realized: Improved knowledge of how soil texture influences SOC impacts on AWC, so as to be useful to a large diversity of agroecosystems. Objective #2: Determine site-specific impacts of soil organic carbon-driven AWC increase on soil water availability, crop water use and stress, and irrigation requirements 1) Major activities completed / experiments conducted: Simulatedchange in rainfed cornwater use (ET) resulting from increase inSOC in 1% increments (within 0-5%) for 12 unique soil texturesat contrasting aridity zones during 42 years using soil water budget modeling 2) Data collected: Under each model run, we collected data on (i) how much reduction in seasonal ET was incurred due to crop water stress; and (ii) daily crop water stress factor. 3) Summary statistics and discussion of results: Greater SOC improved both metrics under all scenarios.We find that crop water stress cannot always be avoided or reduced because of increased AWC. That is because there might not be sufficient precipitation to leverage the benefit of the additional soil water storage (e.g. arid and semi-arid sites without irrigation). Similarly, during wet years in humid sites, AWC benefit may not result in significant benefits as ETc can be maintained at its optima even at lower SOC and AWC. Overall, the extent to which crop water stress will be alleviated is a complex function of soils, weather, and aridity. Thus, (i) whether SOC will result in drought resiliency outcomes and (ii) to what degree this benefit can be expected is site-year-management specific.We find that crop water stress cannot always be avoided or reduced because of increased AWC. That is because there might not be sufficient precipitation to leverage the benefit of the additional soil water storage (e.g. arid and semi-arid sites without irrigation). Similarly, during wet years in humid sites, AWC benefit may not result in significant benefits as ETc can be maintained at its optima even at lower SOC and AWC. Overall, the extent to which crop water stress will be alleviated is a complex function of soils, weather, and aridity. Thus, (i) whether SOC will result in drought resiliency outcomes and (ii) to what degree this benefit can be expected is site-year-management specific. 4) Key outcomes or other accomplishments realized: These findings improved understanding of how nuanced crop water use versus SOC relationships can be, which is a significant advance from mostly qualitative relationships understood previously. Objective #3: Evaluate spatio-temporal drivers of soil organic carbon-driven agrohydrological benefits Since this project is ending early due to a transfer and that it will be continued at PD's institution, the findings from last objective areyet to be analyzed.
Publications
- Type:
Journal Articles
Status:
Published
Year Published:
2023
Citation:
Kukal, M. S., & Irmak, S. (2023). Can limits of plant available water be inferred from soil moisture distributions?. Agricultural & Environmental Letters, 8(2), e20113.
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2024
Citation:
Gulati, D., & Kukal, M. S. (2024, July 28-31). Translating soil carbon sequestration into agrohydrological outcomes across a spectrum of aridity and soil texture. Abstract ID 2400890. [Oral presentation]. ASABE 2024 annual international meeting, Anaheim, CA, United States.
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2024
Citation:
Gulati, D., & Kukal, M. S. (2024, July 14-17). Translating soil carbon sequestration into agrohydrological outcomes across a spectrum of aridity and soil texture. Paper no. 24-066. [Oral presentation]. NABEC 2024, State College, PA, United States.
- Type:
Conference Papers and Presentations
Status:
Accepted
Year Published:
2024
Citation:
Gulati, D., Thorp, K. R., DeJonge, K., & Kukal, M. S. (2024) Hydrological Losses Under Increased Soil Organic Carbon and Weather Variability in Different Soil Textures [Abstract]. ASA, CSSA, SSSA International Annual Meeting, San Antonio, TX. https://scisoc.confex.com/scisoc/2024am/meetingapp.cgi/Paper/157317
- Type:
Conference Papers and Presentations
Status:
Accepted
Year Published:
2024
Citation:
Gulati, D., Thorp, K. R., DeJonge, K., & Kukal, M. S. (2024) How Does Improving Soil Structure Impact Crop Evapotranspiration and Water Stress across Soil Textures and Aridity? [Abstract]. ASA, CSSA, SSSA International Annual Meeting, San Antonio, TX. https://scisoc.confex.com/scisoc/2024am/meetingapp.cgi/Paper/157313
- Type:
Journal Articles
Status:
Published
Year Published:
2024
Citation:
Kukal, Meetpal Singh. "Relative and Unified Skill of Environmental, Edaphic, and Management Factors to Explain Crop Yield Variance Using Machine Learning." (2024): 995-1011.
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Progress 08/01/23 to 07/31/24
Outputs Target Audience:Scientific researchers; students; producers Changes/Problems:
Nothing Reported
What opportunities for training and professional development has the project provided?The project is currently providing training to one graduate student leading these project activities in the areas of climate smart agriculture and its impacts on agrohydrology. How have the results been disseminated to communities of interest?So far, we have presented these partial findings atNORTHEAST AGRICULTURAL / BIOLOGICAL ENGINEERING CONFERENCE (State College, PA; July 2024). What do you plan to do during the next reporting period to accomplish the goals?During the next reporting period, we plan to conclude our work on rainfed crop evapotranspiration impacts and assess impacts on hydrological losses (runoff and deep percolation) under irrigated and deficit systems. We plan to author 3-4 articles that will summarize these activities to the broader community.
Impacts What was accomplished under these goals?
Major activities: The project addresses the question of whether and how much adding soil organic carbon will improve the hydrologic state of soil and water stress in crops. The outcomes will help agricultural producers to understand and quantify exactely how much crop water stress will be relieved or irrigation water use will decrease upon adopting climate-smart agricultural practices that help build soil organic carbon. This will be realized by generating quantitative knowledge on change in soil water budgets across regions with contrasting soil types and aridity. Objective 1: We simulated change in available water capacity for 12 different soil textures when soil orgnic carbon increased from 0 to 5% in 1% increments by using carbon-sensitive pedotransfer functions published recently in the literature. Objective 2: We combined outcomes of objective 1 (i.e, available water capacity under different soil textures and soil organic carbon scenarios) with a soil water budget modeling framework following standardized approaches to simulate evapotranspiration of rainfed corn crop at a site with highest production in each of the four aridity classes (arid, semi-arid, dry sub-humid, and humid) in the U.S. during 1981-2021. We determined to what degree crop water stress was relieved by tracking the deficit in actual seasonal evapotranspiration from its well-watered equivalent, as well as tracking daily crop water stress coefficient as defined by FAO-56. Major accomplishments/outcomes: While currently ongoing, our investigations so far have revealed that impacts of increasing soil organic carbon on crop water stress are highly variable by soils, aridity, and timing of precipitation combined with antecedent soil moisture. The most benefit was observed for the arid site, where the evapotranspiration deficit was the most sensitive to change in seasonal aridity index. We found that clay and sandy clay soils show the most sensitivity of evapotranspiration deficit to SOC increase, while silt soils benefit the least.
Publications
- Type:
Journal Articles
Status:
Published
Year Published:
2023
Citation:
Kukal, M. S., & Irmak, S. (2023). Can limits of plant available water be inferred from soil moisture distributions?. Agricultural & Environmental Letters, 8(2), e20113.
- Type:
Journal Articles
Status:
Accepted
Year Published:
2024
Citation:
Kukal, M. S. (2023). Relative and Unified Skill of Environmental, Edaphic, and Management Factors to Explain Crop Yield Variance using Machine Learning. Journal of the ASABE
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2024
Citation:
Gulati, D., Kukal, M.S. (2024) Translating Soil Carbon Sequestration into Agrohydrological Outcomes across a Spectrum of Aridity and Soil Texture. NORTHEAST AGRICULTURAL / BIOLOGICAL ENGINEERING CONFERENCE
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