Weak local adaptation to drought in seedlings of a widespread conifer

Author:

Candido-Ribeiro RafaelORCID,Aitken Sally N.ORCID

Abstract

AbstractThere is an urgent need for better understanding how populations of trees will respond to predictable changes in climate and the intensification of extreme weather events such as droughts. The distribution of adaptive traits in seedlings is a crucial component of population adaptive potential and its characterization is important for development of management approaches mitigating the effects of climate change on forests. In this study, we used a large-scale common garden drought experiment to characterize the variation in drought tolerance, growth, and plastic responses to extreme summer drought in seedlings of 73 natural provenances of the two main varieties of Douglas-fir (Pseudotsuga menziesiivar.menziesiiand var.glauca), sampled across most of their extensive natural ranges. We detected large differences between the two Douglas-fir varieties for all traits assessed, with var.glaucashowing higher tolerance to drought but slower height growth and less plasticity than var.menziesii. Surprisingly, signals of local adaptation to drought within varieties were weak within var.glaucaand nearly absent within var.menziesii. Temperature-related variables were identified as the main climatic drivers of clinal variation in drought tolerance and height growth species-wide, and in height growth within var.menziesii. Furthermore, our data indicate that higher plasticity under extreme droughts could be maladaptive in var.menziesii. Overall, our study suggests that genetic variation for drought tolerance in seedlings is maintained primarily within rather than among provenances within varieties and does not compromise growth at early stages of plant development. Given these results, assisted gene flow is unlikely to help facilitate adaptation to drought within Douglas-fir varieties, but selective breeding within provenances could accelerate adaptation.

Publisher

Cold Spring Harbor Laboratory

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