Research

Ecohydrology | Climate Change Adaptation & Mitigation



Vegetation regulates terrestrial water, carbon, and energy cycles at local to global scales as it responds and adapts to changing environmental conditions, driven by natural dynamics and human intervention.

Characterizing interactions between hydrology, climate, and primary production, which are regulated by vegetation within a day as well as over decades, is critical to manage water, food, and energy for ever growing demands in a changing environment.


Current interests:


Diagnose vegetation water-carbon tradeoffs and response to stress, encoded in observations from plant to satellite scales.

Quantify key ecohydrological parameters and eco-evolutionary optimality principles that enhance our understanding of complex environmental systems.

Provide accurate and tractable criteria for sustainable climate risk reduction by combining data-driven and process-based methods.


Questions adressed in on-going projects include:

When do plants reduce growth to conserve water and how do plant water use strategies interact with hydrology and climate variability?

How much ecohydrological information can be extracted from remotely-sensed observations and how useful are these data for managing natural resources?

What level of model complexity provides adequate predictive and causal information about ecosystem-scale water and carbon fluxes?

Publications

GoogleScholar | ORCiD: 0001-5795-9894


Peer-reviewed publications

  1. L Hawkins, M Bassiouni, WRL Anderegg, MD Venturas, SP Good, H Kwon, C Hanson, R Fiorella, GJ Bowen, and CJ Still (2022), Comparing Model Representations of Physiological Limits on Transpiration at a Semi-arid Ponderosa Pine Site, Journal of Advances in Modeling Earth Systems, e2021MS002927. https://doi.org/10.1029/2021MS002927
  2. AE Goodwell and M Bassiouni (2022), Source relationships and model structures determine information flow paths in ecohydrologic models. Water Resources Research, 58, e2021WR031164. https://doi.org/10.1029/2021WR031164
  3. R Loritz, M Bassiouni, A Hildebrandt, SK Hassler, and E Zehe (2022), Leveraging sap flow data in a catchment-scale hybrid model to improve soil moisture and transpiration estimates, Hydrology and Earth System Sciences, 26, 4757–4771, https://doi.org/10.5194/hess-26-4757-2022
  4. DR URycki, M Bassiouni, SP Good, BC Crump, and B Li (2022), The streamwater microbiome encodes hydrologic data across scales. Science of the Total Environment, https://doi.org/10.1016/j.scitotenv.2022.157911
  5. M Bassiouni and G Vico (2021), Parsimony versus predictive and functional performance of three stomatal optimization principles in a big-leaf framework. New Phytologist, 231 (2), 586-600. https://doi.org/10.1111/nph.17392
  6. MA Scholl, M Bassiouni, and AJ Torres-Sanchez (2021), Drought stress and hurricane defoliation influence mountain clouds and moisture recycling in a tropical forest. Proceedings of the National Academy of Sciences, 118 (7). https://doi.org/10.1073/pnas.2021646118
  7. M Wu, G Vico, S Manzoni, Z Cai, M Bassiouni, F Tian, J Zhang, K Ye, and G Messori (2021), Early growing season anomalies in vegetation activity determine the large-scale climate-vegetation coupling in Europe. Journal of Geophysical Research Biogeosciences, 126 (5). https://doi.org/10.1029/2020JG006167
  8. Z Su, Y Zeng, N Romano, S Manfreda, F Francés, E Ben Dor, B Szabó, G Vico, P Nasta, R Zhuang, N Francos, J Mészáros, SF Dal Sasso, M Bassiouni, L Zhang, DT Rwasoka, B Retsios, L Yu, ML Blatchford, C Mannaerts (2020), An Integrative Information Aqueduct to Close the Gaps between Satellite Observation of Water Cycle and Local Sustainable Management of Water Resources. Water, 12 (5), 1495. https://doi.org/10.3390/w12051495
  9. M Bassiouni, SP Good, CJ Still, and CW Higgins (2020), Plant water uptake thresholds inferred from satellite soil moisture. Geophysical Research Letters, 47 (7). https://doi.org/10.1029/2020GL087077
  10. M Bassiouni, CW Higgins, CJ Still, and SP Good (2018), Probabilistic inference of ecohydrological parameters using observations from point to satellite scales. Hydrology and Earth System Sciences, 22 (6), 3229-3243. https://doi.org/10.5194/hess-22-3229-2018
  11. M Bassiouni, MA Scholl, AJ Torres-Sanchez, and SF Murphy (2017), A method for quantifying cloud immersion in a tropical mountain forest using time-lapse photography. Agricultural and Forest Meteorology, 243, 100-112. https://doi.org/10.1016/j.agrformet.2017.04.010
  12. M Bassiouni, RM Vogel, and SA Archfield (2016), Panel regressions to estimate low-flow response to rainfall variability in ungaged basins. Water Resources Research, 52 (12), 9470-9494. https://doi.org/10.1002/2016WR018718
  13. SK Izuka, JA Engott, K Rotzoll, M Bassiouni, AG Johnson, LD Miller, and A Mair (ver 1.0 2016; ver. 2.0, 2018), Volcanic aquifers of Hawai ‘i—Hydrogeology, water budgets, and conceptual models: U.S. Geological Survey Scientific Investigations Report 2015-5164, 158 p. https://doi.org/10.3133/sir20155164.
  14. JA Engott, AG Johnson, M Bassiouni, SK Izuka, and K Rotzoll (ver. 1.0 2015; ver. 2.0, 2017), Spatially distributed groundwater recharge for 2010 land cover estimated using a water-budget model for the island of O'ahu, Hawaii: U.S. Geological Survey Scientific Investigations Report 2015–5010, 49 p. https://doi.org/10.3133/sir20155010.
  15. AG Johnson, JA Engott, M Bassiouni, and K Rotzoll (ver 1.0 2014; ver. 2.0, 2018), Spatially distributed groundwater recharge estimated using a water-budget model for the island of Maui, Hawai‘i, 1978–2007: U.S. Geological Survey Scientific Investigations Report 2014–5168, 53 p. https://doi.org/10.3133/sir20145168.
  16. M Bassiouni and DS Oki (2013), Trends and shifts in streamflow in Hawai‘i, 1913–2008. Hydrological Processes, 27 (10), 1484-1500. https://doi.org/10.1002/hyp.9298.


Publications in progress

M Bassiouni, S Manzoni, and G Vico (in revision), Optimal plant water use strategies explain soil moisture variability.


Code | github.com/maoyab

OWUS: Inference of optimal plant water use strategies (2021, Python Code), https://doi.org/10.5281/zenodo.5518546

DESOM: Diagnostics of ecosystem-scale stomatal optimization models (2021, Python Code), https://doi.org/10.5281/zenodo.4386353

Data management for global PIEP (2020, Python Code), https://doi.org/10.5281/zenodo.3235820

PIEP: Probabilistic inference of ecohydrological parameters from soil moisture observations (2018, Python Code), https://doi.org/10.5281/zenodo.1257718

Clustering of time-lapsed photographs to develop a 30-min time series of forest cloud immersion (2017, Python Code), upon request.


Data

Temperature, relative humidity and cloud immersion data for Luquillo Mountains, eastern Puerto Rico, 2014-2019 (2021, USGS Data Release), https://doi.org/10.5066/P9UQCN4T

Global dataset of ecohydrological parameters inferred from satellite observations (2020, Dataset), https://doi.org/10.5281/zenodo.3351622

Mean annual water-budget components for the Hawaiian Islands (2018, ver. 2.0, multiple USGS Data Releases) see full list of water availability products

Supplementary data for "method for quantifying cloud immersion in a tropical mountain forest using time-lapse photography" (2017, USGS Data Release), http://dx.doi.org/10.5066/F7HQ3X52

Summary drainage basin and low-flow characteristics in gaged Hawaii streams and summary rainfall projections for the late 21st century and associated changes in low flows and usable habitat for native stream fauna in gaged and ungaged Maui, HI streams (2016, USGS Data Release), http://dx.doi.org/10.5066/F7TH8JV3

Curriculum Vitae



Education

2019      PhD Water Resources Engineering
               Oregon State University (OSU)

2012      MSc Environmental Sciences and Engineering
               Swiss Federal Institute of Technology (EPFL)

2008      BSc Environmental Sciences and Engineering
               Swiss Federal Institute of Technology (EPFL)

Teaching

BEE 599: Environmental Transport and Mixing (2017, 2019)
BEE 599: Dimensional Analysis and Scaling (2018)

Guest lectures
ESPM C114: Terrestrial Hydrology (2022)
ESPM 111: Ecosystem Ecology (2022)
BEE 322: Ecological Engineering Thermodynamics and Transfer Process (2016-19)
BEE 311: Ecological Fluid Dynamics (2016-19)
BEE 361: Ecological Engineering Laboratory (2017)
BEE 313: Ecohydrology (2016)

Positions

Current      Postdoctoral Researcher
                    Department of Environmental Science, Policy, and Management
                    ESPM, UC Berkeley, CA, USA

2019-21      Postdoctoral Researcher
                    Department of Crop Produciton Ecology
                    VPE, SLU, Uppsala, SE

2015-19      Graduate Research Fellow
                    Department of Biological and Ecological Engineering
                    BEE, OSU, Corvallis, OR, USA

2016           USGS National Research Program Intern
                    Institute for Water and Watersheds
                    OSU, Corvallis, OR, USA

2012-15      Hydrologist
2009-10      Pacific Islands Water Science Center
                    PIWSC, USGS, Honolulu, HI, USA

2012           Master Research Student
                    Laboratory of Environmental Fluid Mechanics and Hydrology
                    EFLUM, EPFL, Lausanne, CH

2010           Environmental Engineer Intern
                    Department of Sanitation, Water and Solid Waste for Development
                    SANDEC, EAWAG, Dakar, Senegal

2008-09      Project Assistant
                    ProAct Network NGO
                    Tannay, CH