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Quantitative Soil-Landscape Modeling Research: Insights from Prof. Paul Gessler

Explore the history and cutting-edge research of quantitative soil-landscape modeling by Prof. Paul Gessler from the University of Idaho, USA. Discover how research has evolved from landscape-scale modeling in Australia to hillslope-scale studies in southern California, focusing on dynamic processes and biogeochemical cycling. Learn about the outdated concept of traditional soil mapping and the use of contemporary tools like GIS, GPS, and statistical modeling for better visualization and monitoring of soil-landscape and ecosystem processes. Dive into El Niño and La Niña data analysis, environmental modeling, and the importance of monitoring sites in advancing research. Join the journey to understanding upland water dynamics and linking them with climate change impacts.

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Quantitative Soil-Landscape Modeling Research: Insights from Prof. Paul Gessler

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  1. Quantitative Soil-landscape Modeling ResearchProf. Paul GesslerUniversity of Idaho, USA • Brief history/background (Wisconsin, New Mexico, Australia, California/Hawaii, Idaho…) • Soil-landscape modeling research – Australia: landscape scale – quant. modeling • Continued research - southern California: hillslope scale - s-l function (dynamic processes, biogeochemical cycling) • Demonstration

  2. Traditional Soil Mapping - outdated conceptual model lack of quantitative models, observational • Contemporary tools: field instrumentation, GPS, GIS, terrain analysis, statistical modeling, visualization, process modeling, monitoring • Monitor & visualize dynamic processes, establish better understanding of structure and function of soil-landscape & ecosystem processes - NPP, nutrient cycling, gas exchange, water balance

  3. S-L function

  4. El Niño 975 mm La Niña 360 mm 342 mm 1997 1998 1999 2000

  5. Animation of El Niño - 1998 January to May weekly time steps June to August monthly time steps 1-D soil water balance model vs. field measured values

  6. Summary • quantitative soil-landscape modeling methods • environmental modeling: modeling to understand landscape process and function • monitoring sites: invaluable to advancing - funding difficult • terrain - sampling, interpolating, scaling, aggregating to broader scales • opportunities for scientists studying upland water dynamics to link with those studying lake dynamics and climate change impacts

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