The goal of this Pursuit is to bring together a diverse team of collaborators to examine how soil health can act as a social-ecological feedback to encourage soil enhancing practices through a transdisciplinary integration of biophysical, climatic and social science data at multiple scales.
Our team is made up of scientists and policymakers from University institutions in Oregon, Iowa, Nebraska, Iowa, Washington – as well as staff from the USDA and the NRCS.
Our workshops are run out of the Socio-Environmental Synthesis Center (SESYNC) – a NSF funded effort thru the University of Maryland.
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We use R, python, and Solr to organize, structure, and model data, and then use ESRI’s StoryMaps technology to describe and visualize outcomes.
Our modeling efforts use Structural Equation Modeling (SEM) approaches to understand latent constructs in relationship to soil health and climate resilience.