Drobyshev, Igor
- Southern Swedish Forest Research Centre, Swedish University of Agricultural Sciences
- Université du Québec en Abitibi-Témiscamingue (UQAT)
Research article2019Peer reviewedOpen access
Drobyshev, I.; Picq, S.; Ganivet, E.; Tremblay, F.; Bergeron, Y.
Understanding intra-specific variation in climate sensitivity could improve the prediction of tree responses to climate change. We attempted to identify the degree of genetic control of tree phenology and growth of trembling aspen (Populus tremuloides Mchx.) in a natural stand of this species in northwestern Quebec. We mapped and genotyped 556 aspen trees growing within the plot, using seven nuclear microsatellite loci for clone identification. We selected 13 clones (n of trees per clone >5, in total 350 trees) and evaluated the explanatory power of clone identity in (a) variability of spring leaf phenology and (b) short- and long-term growth responses. The clone's identity explained 43% of the variability in spring leaf phenology, between 18% and 20% of variability in response to monthly climate variables significantly affecting growth, between 8% and 26% of growth response to insect outbreaks, and 12% in the long-term growth rates. Strong clonal control of aspen phenology and moderate control of growth responses to monthly weather do not result in an equally large impact on long-term growth rates. The result suggests an important role of environmental extremes and within community interactions as factors averaging aspen growth performance at the stand level.
clonal structure; genetic controls; genotypic diversity; genotyping; growth dynamics; growth resilience; phenotypic plasticity; selection pressure
Ecosphere
2019, Volume: 10, number: 9, article number: e02869
Publisher: WILEY
SLU Plant Protection Network
SDG13 Take urgent action to combat climate change and its impacts
Ecology
DOI: https://doi.org/10.1002/ecs2.2869
https://res.slu.se/id/publ/102409