Anthony J. Parolari
Assistant Professor of Environmental Engineering, Marquette University
PhD, Civil and Environmental Engineering, Massachusetts Institute of Technology, 2012
My background is in hydrology and civil engineering, with a current research focus on the role of water in ecosystems. I develop quantitative models that link hydrologic variability to terrestrial ecosystem processes, including primary productivity, biogeochemistry, and geomorphology. I also study the social-ecological feedbacks that drive human interaction with the water cycle. These models are used to advance theory and to interpret empirical data, which improves basic understanding and prediction of ecosystem dynamics.
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CZO Publications
Papers/Books
2017
Hydrologic transport of dissolved inorganic carbon and its control on chemical weathering. Calabrese, S., Porporato, A., and Parolari, A.J. (2017): Journal of Geophysical Research: Earth Surface 122 (10): 2016-2032
2017
Increasing atmospheric humidity and CO2 concentration alleviate forest mortality risk. Liu, Yanlan, Anthony J. Parolari, Mukesh Kumar, Cheng-Wei Huang, Gabriel G. Katul, and Amilcare Porporato (2017): PNAS 114 (37): 9918-9923
2017
Boom and bust carbon-nitrogen dynamics during reforestation. Parolari, A.J., M.L. Mobley, A.R. Bacon, G.G. Katul, D.deB. Richter, and A. Porporato (2017): Ecological Modelling 360: 108-119
2016
Beyond the SCS-CN method: Theoretical framework for spatially-lumped rainfall-runoff response. Bartlett, M.S., A.J. Parolari, J.J. McDonnell, and A. Porporato (2016): Water Resources Research 52(6): 4608-4627
2016
Framework for event-based semidistributed modeling that unifies the SCS-CN method, VIC, PDM, and TOPMODEL. Bartlett, M.S., A.J. Parolari, J.J. McDonnell, and A. Porporato (2016): Water Resources Research 52 (9): 7036-7052
2016
Forest soil carbon and nitrogen cycles under biomass harvest: Stability, transient response, and feedback. Parolari, A.J., Porporato, A. (2016): Ecological Modelling 326: 64-76
2016
Bistable plant-soil dynamics and biogenic controls on the soil production function. Pelak, N.F., A.J. Parolari, and A. Porporato (2016): Earth Surface Processes and Landforms 41(8): 1011-1017
2015
Stochastic rainfall-runoff model with explicit soil moisture dynamics. Bartlett, M.S., E. Daly, J.J. McDonnell, A.J. Parolari, A. Porporato (2015): Proceedings of the Royal Society A 471(2183): 20150389
2015
The Doomsday Equation and 50 years beyond: new perspectives on the human‐water system. Parolari, A. J., Katul, G., Porporato, A. (2015): WIREs Water 2:407-414
2015
Ecohydrological modeling in agroecosystems: Examples and challenges. Porporato, A.; Feng, X.; Manzoni, S.; Mau, Y.; Parolari, A. J.; Vico G. (2015): Water Resources Research 51(7): 5081-5099
Papers and books that explicitly acknowledge a CZO grant are highlighted in PALE ORANGE.
Other CZO Publications
2019
Forgotten Interactions: Missing Link in the Ecohydrologic Prediction Puzzle. Kumar, Mukesh, Christopher Krapu, Yanlan Liu, Anthony Parolari, Gabriel George Katul, Amilcare M Porporato, Mark E Borsuk (2019): American Geophysical Union Fall Meeting, San Francisco, CA, December 9-13, 2019
2018
Potential impacts of climate change on tree mortality risk: Do plant hydraulic traits matter?. Kumar, M., Y. Liu, A. Parolari, C.-W. Huang, G.G. Katul, A.M. Porporato (2018): American Geophysical Union 2018 Fall Meeting, Washington, DC, 10-14 Dec 2018
2018
Synergistic data analytics and physical modeling for improved understanding of vegetation dynamics under climatological stress: a key uncertainty in ecosystem management. Liu, Y., M. Kumar, G.G. Katul, A. Parolari, A.M. Porporato, C.-W. Huang, A. Konings (2018): American Geophysical Union 2018 Fall Meeting, Washington, DC, 10-14 Dec 2018
2017
Hydrologic controls on chemical weathering in the Critical Zone. Calabrese, Salvatore, Tony Parolari, Amilcare Porporato (2017): Calhoun CZO 2017 Summer Science Meeting, Union, SC, 17-18 May 2017
2017
Increasing atmospheric humidity and CO2 concentrations alleviate forest mortality risk. Liu, Yanlan, Anthony Parolari, Mukesh Kumar, Cheng-Wei Huang, Gabriel Katul, Amilcare Porporato (2017): Calhoun CZO 2017 Summer Science Meeting, Union, SC, 17-18 May 2017
2017
Attributing Asymmetric Productivity Responses to Internal Ecosystem Dynamics and External Drivers Using Probabilistic Models. Parolari, A.; Goulden, M. (2017): Fall Meeting, American Geophysical Union, December 2017. Abstract B51K-06.
2016
The dynamical system of weathering: deterministic and stochastic analysis. Calabrese, S., A. Parolari, A.M. Porporato (2016): American Geophysical Union 2016 Fall Meeting, San Francisco, CA
2016
Soil formation and weathering modeling. Calabrese, S., A.J. Parolari, A. Porporato (2016): Calhoun CZO 2016 Summer Science Meeting, Clinton, SC
2016
Increasing atmospheric humidity and CO2 concentration alleviate forest hydraulic failure risk. Liu, Y.; Parolari, A.; Kumar, M.; Porporato, A. M.; Katul, G. G. (2016): American Geophysical Union 2016 Fall Meeting, San Francisco, CA
2016
Social-ecological modeling. Parolari, A.J. (2016): Calhoun CZO 2016 Summer Science Meeting, Clinton, SC
2016
Propagation of hydroclimatic variability through the critical zone. Porporato, A.M., S. Calabrese, and A. Parolari (2016): American Geophysical Union 2016 Fall Meeting, San Francisco, CA
2015
State transitions in coupled social-ecological agro-ecosystem models. Parolari, A. J., Pelak, N. F., Porporato, A. (2015): Calhoun CZO 2015 Summer Science Meeting
2015
A lumped, macroscopic approach to modeling soil moisture, CO2 transport, and chemical weathering in the critical zone. Porporato, A.; Parolari, A. (2015): American Geophysical Union Fall Meeting, December 2015, San Francisco, CA
2014
Soil N as a buffer of critical zone carbon and nitrogen cycles in harvested ecosystems. Parolari, A.J., G.G. Katul, and A. Porporato (2014): American Geophysical Union Fall Meeting, December 2014, San Francisco, CA
2014
Soil Moisture and Vegetation Controls on Surface Energy Balance using MEP Model of ET. Wang, J., Parolari, A., and Huang, S.-Y. (2014): American Geophysical Union annual meeting, San Francisco, California, December, 2014
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Models
Optimal Sensing
Topographically-derived spatial soil moisture model and application to optimal sensor location
A topographically-explicit soil moisture model is developed and applied to cluster watershed into homogeneous sampling regions
Plant-soil feedback
Bistable plant-soil dynamics and biogenic controls on the soil production function
A coupled soil-plant model was developed, exhibiting bistability driven by positive feedback between vegetation and soil.
CN reforest dynamics
Coupled dynamics of tree and soil C and N during reforestation following land abandonment
Calhoun reforestation was unique: 30% biomass was lost after age 35. Models are used to explore explanations of this behavior.
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News
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