Abstract

Natural ecosystems are under pressure from increasing abiotic and biotic stressors, including climate change and novel pathogens, which are putting species at risk of local extinction, and altering community structure, composition and function. Here, we aim to assess adaptive variation in growth and fungal disease resistance within a foundation tree, Corymbia calophylla to determine local adaptation, trait heritability and genetic constraints in adapting to future environments. Two experimental planting sites were established in regions of contrasting rainfall with seed families from 18 populations capturing a wide range of climate origins (~4,000 individuals at each site). Every individual was measured in 2015 and 2016 for growth (height, basal diameter) and disease resistance to a recently introduced leaf blight pathogen (Quambalaria pitereka). Narrow‐sense heritability was estimated along with trait covariation. Trait variation was regressed against climate‐of‐origin, and multivariate models were used to develop predictive maps of growth and disease resistance. Growth and blight resistance traits differed significantly among populations, and these differences were consistent between experimental sites and sampling years. Growth and blight resistance were heritable, and comparisons between trait differentiation (Q ST) and genetic differentiation (F ST) revealed that population differences in height and blight resistance traits are due to divergent natural selection. Traits were significantly correlated with climate‐of‐origin, with cool and wet populations showing the highest levels of growth and blight resistance. These results provide evidence that plants have adaptive growth strategies and pathogen defence strategies. Indeed, the presence of standing genetic variation and trait heritability of growth and blight resistance provide capacity to respond to novel, external pressures. The integration of genetic variation into adaptive management strategies, such as assisted gene migration and seed sourcing, may be used to provide greater resilience for natural ecosystems to both biotic and abiotic stressors.

Highlights

  • Healthy forests are resilient to biotic and abiotic stressors and are able to mitigate potential impacts from climate change through high diversity and the maintenance of complex ecosystem processes (Chapin et al, 2000)

  • The trends among populations remained constant across experimental sites in accordance with type‐B genetic correlations, indicating there was no genotype by environment interactions

  • Pathogens and climate change reshape natural ecosystems, the ability of species to evolve and adapt to new challenges is imperative for their continued persistence

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Summary

Introduction

Healthy forests are resilient to biotic and abiotic stressors and are able to mitigate potential impacts from climate change through high diversity and the maintenance of complex ecosystem processes (Chapin et al, 2000). These forests include a mosaic of plant and animal assemblages, and successional patches representing all stages of the natural range of disturbance and recovery (Trumbore, Brando, & Hartmann, 2015). Forests are under pressure from introduced pests, diseases and human disturbances including climate change. It is critically important to determine the adaptive capacity of plants to a varying combination of stressors to inform management strategies in maintaining forest diversity, function and resilience

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