Justine Missik
Environmental Science · The Ohio State University
Publications
52
Citations
384
Est. group size
~2
Recurring co-author estimate
Active years
11
Publishing since 2016
Justine Missik's research examines how water, carbon, and energy move between plants, soil, and the atmosphere, with a particular focus on wetlands, forests, and dryland ecosystems. Their work combines field measurements (such as eddy covariance flux data), tree and canopy hydrodynamic modeling, and machine learning tools to understand processes like carbon dioxide and methane emissions, evapotranspiration, and tree water use under changing environmental conditions. Recent projects also involve developing open-source software tools for analyzing environmental and animal movement data using large geospatial datasets.
Publication output has fluctuated over the past decade, dipping around 2023 before rising again in 2024-2026, with a recent 5-year average of about 4.6 papers per year.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Stem water content is crucial to support fruit tree functioning during heatwaves in a Mediterranean climate
Agricultural and Forest Meteorology · 2026
- ECODATA
Zenodo (CERN European Organization for Nuclear Research) · 2026
- Bioclimatic Reorganization of Carbon–Water–Energy Coupling Revealed by Eddy Covariance and Interpretable Machine Learning
Global Change Biology Communications · 2026
- Rising Water Levels and Vegetation Shifts Drive Substantial Reductions in Methane Emissions and Carbon Dioxide Uptake in a Great Lakes Coastal Freshwater Wetland
Global Change Biology · 2025
- <scp>ECODATA</scp> : A toolbox to efficiently explore and communicate animal movements alongside environmental and anthropogenic context using geospatial big data
Methods in Ecology and Evolution · 2025
- Gap-filled methane and carbon dioxide fluxes across two ecosystem states at the US-OWC AmeriFlux site (2015−2016, 2020−2022)
OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 2025
- ECODATA : A toolbox to efficiently explore and communicate animal movements alongside environmental and anthropogenic context using geospatial big data
KOPS (University of Konstanz) · 2025
- Changes in inundation drive carbon dioxide and methane fluxes in a temperate wetland
The Science of The Total Environment · 2024
- Functional-type modeling approach and data-driven parameterization of methane emissions in wetlands (Final Technical Science Report)
2024
- A new set of tools to explore, analyze, and communicate animal movements with environmental and anthropogenic context
2023
- Tree hydrodynamic modelling of the soil–plant–atmosphere continuum using FETCH3
Geoscientific model development · 2022
- Encoding diel hysteresis and the Birch effect in dryland soil respiration models through knowledge-guided deep learning
Frontiers in Environmental Science · 2022
- Formulation of a Consistent Multi‐Species Canopy Description for Hydrodynamic Models Embedded in Large‐Scale Land‐Surface Representations of Mixed‐Forests
Journal of Geophysical Research Biogeosciences · 2022
- Formulation of a Consistent Multi-Species Canopy Description for Hydrodynamic Models Embedded in Large-Scale Land-Surface Representations of Mixed-Forests
2022
- Data and scripts associated with the manuscript "Encoding Diel Hysteresis and the Birch Effect in Dryland Soil Respiration Models through Knowledge-Guided Deep Learning"
OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 2022
- AGU Fall Meeting Abstracts×7
- Figshare×4
- Journal of Geophysical Research Atmospheres×3
- Journal of Geophysical Research Biogeosciences×3
- Murray State's Digital Commons (Murray State University)×3
- Ana Maria Restrepo Acevedo
Environmental Science · Indiana University
- Yanlan Liu
Environmental Science · The Ohio State University
- Lixin Wang
Environmental Science · Indiana University
- Taehee Hwang
Environmental Science · Indiana University
- Yue Li
Environmental Science · Indiana University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
Claim or correct this profile