Influence of spatiotemporal dynamics on the fine-scale spatial genetic structure of differently managed Picea abies stands
Articolo
Data di Pubblicazione:
2018
Abstract:
The tandem analysis of dendrochronological and genetic data is piquing forest ecologists’
interest and represents a promising approach for studying the temporal development of genetic
structure in forest tree populations. Such multidisciplinary approach can help elucidate to what extent
different management practices have impacted the fine-scale spatial genetic structure of forest stands
through time. In this study, we jointly analysed spatial, age and genetic data from three differently
managed Norway spruce permanent plots to assess: (1) possible differences among plots in the spatial
distribution of individuals and their genetic structure due to different management practices, and (2)
whether modifications in the age structure influenced the fine-scale spatial genetic structure within
each permanent plot. With these aims, we genetically characterized at five nuclear microsatellite
markers a large subset (328) of all the trees for which spatial and age data were collected (1472).
We found that different management practices determined a similar spatial structure in terms of trees’
ages (r < 25 m in all plots) and neutral genetic diversity (Sp ranging from 0.002 to 0.004). Hot spots
and cold spots of trees’ age were not statistically different in terms of genetic diversity, and trees’ age
was not statistically different among the genetic clusters detected. On the other hand, the spatial
distribution of individuals was significantly clustered up to 22 m only in the wooded pasture plot.
Our main findings show that forest land use and management can indeed determine markedly
different spatial layouts of Norway spruce individuals but do not produce strong distortions in the
spatial structure of age and genetic parameters.
Tipologia CRIS:
03A-Articolo su Rivista
Keywords:
Age structure; Dendroecology; Eastern Alps; Forest management; Gene flow; Genetic clustering; Norway spruce; Population genetics; Spatial analysis; Wood pasture; Forestry
Elenco autori:
Piotti, Andrea*; Garbarino, Matteo; Avanzi, Camilla; Berretti, Roberta; Motta, Renzo; Piovani, Paolo; Leonardi, Stefano
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