Influence of heterozygosity and competition on morphological tree characteristics of Quercus rubra L.: a new single-tree based approach

Author:

Burkardt KatharinaORCID,Pettenkofer Tim,Ammer Christian,Gailing Oliver,Leinemann Ludger,Seidel Dominik,Vor Torsten

Abstract

AbstractIn Europe, the non-native Northern red oak (Quercus rubra L.) is widely recommended for future cultivation. However, outside its natural range, Northern red oak has to date been insufficiently studied both in terms of silviculture and genetics. To clarify this, we studied the architecture of 92 (pre-) dominant Northern red oak trees in five German federal states using the non-destructive terrestrial laser scanning method (TLS). In addition, individual-based heterozygosity was calculated based on microsatellite data obtained by analyzing twelve potentially adaptive genic (EST derived markers) and eight putatively selectively neutral nuclear microsatellite markers. With these data the individual heterozygosity of the sample trees was calculated. Mean or median branch angles as well as branch angle ranges of first order branches decreased with individual heterozygosity calculated group-wise for all markers (HoAll) and for EST-derived markers (HoEST). Most other tree characteristics, including the number of bark anomalies and mean stem non-circularity and crown characteristics such as crown volume, crown surface area, or mean branch length of first order branches responded exclusively to competition. We conclude that competition, not genetics, is the main driver of Northern red oak stem and crown characteristics. Thus, stem quality and crown dimension can primarily be controlled by silvicultural interventions. The significant relationship between Northern red oak branch angle traits and individual tree heterozygosity was unexpected, and at this time we do not have any validated explanation for this. This issue needs to be further investigated.

Funder

Fachagentur Nachwachsende Rohstoffe

funds of German government’s Special Purpose Fund held at Landwirtschaftliche Rentenbank

Publisher

Springer Science and Business Media LLC

Subject

Forestry

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