Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8970695 | Agriculture, Ecosystems & Environment | 2005 | 15 Pages |
Abstract
Soft wheat productivity could be described to a very satisfying level. High R2 values were obtained, partly due to aggregation of spatially autocorrelated in- and output data. High correlations were found between all variables, which indicates a risk of misinterpretation of results from statistical models when only few (groups of) variables are considered in the analysis. At a higher aggregation level (NUTS2) both the model fit and the risk of confounding increase. Validation by an independent dataset does not lead to exclusion of confounding. This paper serves as a basis for further research on spatial variability and trends in agricultural productivity at the regional scale, indicating both the possibilities and the risks of such research.
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Authors
Martha M. Bakker, Gerard Govers, Frank Ewert, Mark Rounsevell, Robert Jones,