Project goals

  1. To identify genes of ecological importance related to forest trees responses to climate change, targeting traits such as drought, fire and cold tolerance. This sequencing effort will increase our understanding of the role of biodiversity (at the intraspecific scale) in ecosystem functioning and management.
  2. To provide detailed studies of the effects of natural selection on allelic polymorphism at candidate genes, quantitative genetic parameters for adaptive traits (obtained from progeny testing) and phenotypes (measured in the field) in model forest systems and how standing genetic variation in a forest may confront rapid environmental change.
  3. To evaluate the putative impact of environmental change on trees and forests at the stand level. To achieve this objective, modeling platforms parameterized for the specific model forests under study will be developed and statistical models based on stand processes (natural regeneration, gene flow, etc) will be constructed. These models will be able to simulate genetic and biodiversity changes under future scenarios, and provide valuable insights to ecosystem dynamics.
LinkTree: Linking genetic variability with ecological responses to environmental changes: forest trees as model systems
Project Leader: Santiago C. González-Martínez (CIFOR-INIA, Spain)
Web Manager: Gabriele Bucci (IGV-FI/CNR, Italy)