Journal article

Environmental surrogates for predicting and conserving adaptive genetic variability in tree species

PH Garnier-Gere, PK Ades



Adaptive genetic variability within species is an essential component of biodiversity but has been largely ignored in studies aimed at assessing and predicting biodiversity of the forest environment. We used factorial regression and structuring models to test easily measured surrogates, such as ecological attributes, as predictors of adaptive genetic variation between populations of a tree species (Eucalyptus delegatensis). Adaptive variability was defined in terms of variation in average growth performance of 68 populations and of population-by-environment interaction across seven different environments. The best surrogates of genetic variability were measures of solar radiation and tempera..

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University of Melbourne Researchers