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  • H31D: Forest Ecohydrology Across Natural and Urban Landscapes: Processes, Services, and Modeling Innovations I Oral
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  • Location Icon238-239
    NOLA CC
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Primary Convener:
Ge Sun, USDA Forest Service

Convener:
Rubab Saher, Purdue University
Maricar Aguilos, North Carolina State University
Yun Yang, College of Agriculture and Life Sciences, Cornell University
Ning Liu, CSIRO Canberra
Brady Hardiman, Purdue University
Daniel Aliaga, Purdue University
Paul Seibert, University of California Berkeley

Early Career Convener:
Paul Seibert, University of California Berkeley

Chair:
Ge Sun, USDA Forest Service
Rubab Saher, Purdue University

Forest ecohydrology governs critical interactions among water, carbon, and energy cycles, shaping ecosystem services such as carbon storage, flood mitigation, and climate regulation. Understanding evapotranspiration and associated ecohydrological processes across both natural and urban forests is key but remains challenging due to complex biophysical drivers and landscape variability. This session welcomes studies using field data (e.g., paired watershed, eddy flux, sapflow) , remote sensing (UAVs, LiDAR), and modeling tools (WRF, BEP-Tree, i-Tree, WaSSI) to investigate ecohydrological processes across scales. We encourage contributions addressing ecohydrologic effects of forest management, climate and land use change, and large disturbances like wildfire and urbanization. We seek research that integrates forest ecohydrological principles with urban landscape planning and nature-based solutions to emerging environmental and natural resource management problems. Bridging natural and urban systems, this session highlights advances and innovations for monitoring, modeling, and managing forests under climate change, and fosters dialogue across disciplines and scales.

Index Terms
1813 Eco-hydrology
1818 Evapotranspiration
1836 Hydrological cycles and budgets
1878 Water|energy interactions

Co-Organized Sessions:
Global Environmental Change
Earth and Planetary Surface Processes
Biogeosciences

Suggested Itineraries:
Climate Change and Global Policy
Machine Learning and AI
Open Science and Open Data
Global Impacts‚ Solutions‚ & Policies

Cross-Listed:
AE - Atmospheric and Space Electricity
B - Biogeosciences

Neighborhoods:
3. Earth Covering

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