Comparing mechanistic and empirical model projections of crop suitability and productivity: implications for ecological forecasting

@inproceedings{Estes2013ComparingMA,
  title={Comparing mechanistic and empirical model projections of crop suitability and productivity: implications for ecological forecasting},
  author={Lyndon D. Estes and Bethany A. Bradley and Hein Beukes and David G. Hole and Maggie C. Y. Lau and Michael Oppenheimer and Roland Schulze and Mark Tadross and Will R. Turner},
  year={2013}
}
Aim Intercomparison of mechanistic and empirical models is an important step towards improving projections of potential species distribution and abundance. We aim to compare suitability and productivity estimates for a well-understood crop species to evaluate the strengths and weaknesses of mechanistic versus empirical modelling. Location South Africa. Methods We compared four habitat suitability models for dryland maize based on climate and soil predictors. Two were created using maximum… CONTINUE READING

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