Submitted to: Agronomy Abstracts
Publication Type: Abstract Only
Publication Acceptance Date: 11/9/2000
Publication Date: N/A
Citation: N/A Interpretive Summary:
Technical Abstract: Agricultural models provide a method of synthesizing information about the interactions among physical, chemical, and biological processes across a range of management scenarios. Models are becoming capable of evaluating these interactions across time and space scales because of the ability to handle the complexities of real-world scenarios. Natural resource processes involve variations of meteorological parameters across time scales that range from diurnal to annual to longer periods. Spatial variations across soils, topography, and regions also pose problems for current models because of the need to quantify the interrelationships across these spatial parameters. Regional scale assessment of energy exchanges and soil carbon response to management systems that would assess the changes in agricultural systems caused by man's activities presents a challenge to current models. The blending of natural resource processes with biological responses across a range of management systems that define the temporal inputs and the spatial variation in these inputs presents a challenge to models. If models are going to progress to the next level of providing useful information that can be used to guide management decisions for agriculture, then innovative methods of incorporating temporal and spatial parameters into these models will have to be developed.