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ARS Home » Southeast Area » Florence, South Carolina » Coastal Plain Soil, Water and Plant Conservation Research » Research » Publications at this Location » Publication #126543
Title: ADDRESSING SPATIAL AND TEMPORAL VARIABILITY IN CROP MODEL APPLICATIONS

Author
item Sadler, Edward
item Barnes, Edward
item BATCHELOR, WILLIAM - IOWA STATE UNIV
item PAZ, JOEL - IOWA STATE UNIV
item IRMAK, AYSE - UNIV FLORIDA

Submitted to: CRC Press
Publication Type: Book / Chapter
Publication Acceptance Date: 12/11/2001
Publication Date: N/A
Citation: N/A

Interpretive Summary:

Technical Abstract: Applying 1-dimensional models (vertical soil profile only) to surface spatial variability problems requires some provision for accommodating the additional 2 dimensions in the horizontal plane. However, attempting that step illustrates the main problem, which is inadequate input data that describe the conditions at the various points in space. The experiences of the authors in extending modeling from the vertical to the spatial dimensions include classical data collection at multiple points in space, inference of input data from inherently spatial data collection activities (remote sensing, on-the-go sensors), inference of output data from similar sources used to adapt the state variables in the model to improve fit, and objective parameterization to maximize fit between outputs and observations. Case studies as examples of each approach are included, and opinions are expressed as to promising directions that might be taken to improve success of modeling under spatially variable conditions.