ABSTRACT

Mountainous ecosystems in headwater catchments play an important role in water resources, particularly in western United States, influencing snow accumulation/melting and water partitioning. Characterizing ecosystem functioning is, however, difficult due to extreme heterogeneity in topography as well as hydrological and pedological properties that influence plant communities and their dynamics. To gain a predictive understanding of how ecosystems evolve under climate change, it is critical to characterize the heterogeneity of plant communities and to quantify the influence of key environmental variables such as topography and soil moisture.

In this study, we take advantages of spatial extensive datasets such as geophysical and remote sensing (RS) techniques to improve our understanding of critical interactions between above-ground plant community distribution and dynamic, and subsurface properties.

Presentation Date: Wednesday, October 17, 2018

Start Time: 1:50:00 PM

Location: 204A (Anaheim Convention Center)

Presentation Type: Oral

Keywords:
peterson, plant community, electrical conductivity, colorado, ecosystem, imaging, gradient, topography, artificial intelligence, interaction
Subjects:
Professionalism, Training, and Education, Information Management and Systems, Communities of practice, Knowledge management
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2018. Society of Exploration Geophysicists
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