101371 A Decision Support System to Determine Management Effects on Dynamic Soil Properties.

Poster Number 463-624

See more from this Division: SSSA Division: Soil and Water Management and Conservation
See more from this Session: Soil Management Impacts on Soil Properties and Soil C and N Dynamics Poster II

Wednesday, November 9, 2016
Phoenix Convention Center North, Exhibit Hall CDE

Candiss Williams, Federal Bldg Rm 152, USDA-NRCS, Lincoln, NE, Cynthia A. Cambardella, USDA-ARS National Laboratory for Agriculture and the Environment, Ames, IA, Susan S. Andrews, Mail stop 35, USDA-NRCS, Lincoln, NE and Lei Yu, University of Nebraska-Lincoln, Lincoln, NE
Abstract:
Soil is a foundational resource which provides food, filters contaminates for clean water, cycles nutrients and stores carbon to mitigate climate change, among a few of its beneficial ecosystem services.  Soils have many properties (biological, chemical, and physical) that vary with time and space. These variations are related to changes in climate and human disturbances. To capture changes in soil properties, mining data from primary literature on human management effects on dynamic soil properties (DSPs) such as carbon and bulk density will assist in the development of a decision support system.  The objective of this project is to develop a DSP database of mined data to include soil properties, climatic factors and management which will then be used to evaluate the impact of land use and management practices through the use of machine learning techniques. The outcome of this decision support tool will help managers make better decisions about conserving soil.

See more from this Division: SSSA Division: Soil and Water Management and Conservation
See more from this Session: Soil Management Impacts on Soil Properties and Soil C and N Dynamics Poster II