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Full-Text Articles in Life Sciences
An Approach For Using Soil Surveys To Guide The Placement Of Water Quality Buffers, Mike Dosskey, Matthew J. Helmers, Dean E. Eisenhauer
An Approach For Using Soil Surveys To Guide The Placement Of Water Quality Buffers, Mike Dosskey, Matthew J. Helmers, Dean E. Eisenhauer
USDA Forest Service / UNL Faculty Publications
Vegetative buffers may function better for filtering agricultural runoff in some locations than in others because of intrinsic characteristics of the land on which they are placed. The objective of this study was to develop a method based on soil survey attributes that can be used to compare soil map units for how effectively a buffer installed in them could remove pollutants from crop field runoff. Three separate models were developed. The surface runoff models for sediment and for dissolved pollutants were quantitative, based mainly on slope, soil, and rainfall factors of the Revised Universal Soil Loss Equation (RUSLE), and …
Computer-Based Tools For Decision Support In Agroforestry: Current State And Future Needs, E. A. Ellis, G. Bentrup, M. M. Schoeneberger
Computer-Based Tools For Decision Support In Agroforestry: Current State And Future Needs, E. A. Ellis, G. Bentrup, M. M. Schoeneberger
USDA Forest Service / UNL Faculty Publications
Successful design of agroforestry practices hinges on the ability to pull together very diverse and sometimes large sets of information (i.e., biophysical, economic and social factors), and then implementing the synthesis of this information across several spatial scales from site to landscape. Agroforestry, by its very nature, creates complex systems with impacts ranging from the site or practice level up to the landscape and beyond. Computer-based Decision Support Tools (DST) help to integrate information to facilitate the decision-making process that directs development, acceptance, adoption, and management aspects in agroforestry. Computer-based DSTs include databases, geographical information systems, models, knowledge-base or expert …