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Comment on “Indirect land use change for biofuels: Testing predictions and improving analytical methodologies” by Kim and Dale: Statistical reliability and the definition of the indirect land use change (iLUC) issue

Indirect land use change for biofuels: Testing predictions and improving analytical methodologies" by S. Kim and B. Dale [1], presents a principal inference not supported by its results, that rests on a fundamental conceptual error, and that has no place in the current discussion of biofuels' climat...

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Main Authors: O'Hare, Michael, Delucchi, Mark, Edwards, Robert, Fritsche, Uwe, Gibbs, Holly, Hertel, Thomas, Hill, Jason, Kammen, Daniel, Laborde Debucquet, David, Marelli, Luisa, Mulligan, Declan, Plevin, Richard, Tyner, Wallace
Format: Journal Article
Language:Inglés
Published: Elsevier 2011
Subjects:
agriculture
Online Access:https://hdl.handle.net/10568/153958
Summary:Indirect land use change for biofuels: Testing predictions and improving analytical methodologies" by S. Kim and B. Dale [1], presents a principal inference not supported by its results, that rests on a fundamental conceptual error, and that has no place in the current discussion of biofuels' climate effects. The paper takes correlation between two variables in a system with many interacting factors to indicate (or contraindicate) causation, and draws a completely incorrect inference from observed sample statistics and their significance levels.

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