Abstract

Increased frequency of extreme weather events has seriously affected forestry operations in south-eastern Europe. A precondition for effective artificial restoration of disturbed forest stands is site-adapted forest reproductive material (FRM). Common garden experiments (provenance trials) may assist in selecting such FRM. The main objective of this study was to establish among-provenance variation pattern using data from a beech provenance trial. Usefulness of the results in selecting seed sources for restoration of European beech stands is discussed. The trial was set up in 2007, at a slope of Medvednica mount facing north-west at 730-750 m above sea level. Plant heights were measured and survival scored in 2008 and 2015. Height increments were calculated and processed to determine variance components due to various effects. Highly significant provenance-by-block interaction was revealed, indicating strong microsite effects on provenance performances. Therefore, corrections were made and provenance mean height increments recalculated. Provenance mean height increment multiplied with survival was used as a measure of a provenance’s adaptedness. Regression tree (RT) analysis was used to determine the pattern of among-provenance variations. A set of provenance clus­ters was grown using climatic variables related to the provenance stands of origin as criteria. All analyzed effects were significant (provenance: F=2.07, p<0.05; block: F=5.07, p<0.05; provenance by block interaction: F=7.32, p<0.001). Data corrections reduced the interaction effect, thereby increasing reliability of calculated provenance adaptedness indices (AI). Provenances were grouped into 4 clusters due to elevation, mean July temperature and summer heat-to-moisture index (SHM). Cluster 4, containing provenances from the highest altitudes (>750m), had the highest mean AI (143.9±8.4 cm). The lowest mean AI (106.7±14.8 cm) had cluster 1, containing provenances from lower altitudes with lower mean July temperatures (≤18.4°C). Provenances originating from lower elevations with higher mean July temperatures (>18.4°C) were further divided into two clusters due to the SHM variable. Cluster 2 had the second highest mean AI (141.2±1.5 cm) and contained provenances from relatively wetter habitats (SHM≤48.2). Cluster 3, containing provenances from relatively arid habitats (SHM>48.2), had significantly lower mean AI (116.8±8.6 cm). Established among-provenance variation pattern might be used as a tool in selecting seed sources for artificial restoration of beech stands at mount Medvednica. It is advisable to use FRM from higher altitudes and/or from slightly lower altitudes (up to 150 m lower than a restoring site) but featured with warmer and drier conditions compared to the trial. Generally, provenance trials should be utilized as a valuable decision tool in restoring disturbed forest stands but may also be misleading if not well designed and analyzed.

Highlights

  • Frequency of extreme weather events has recently increased at wide-European scale affecting forest ecosystem functioning and services provisioning to society (Neumann et al 2017)

  • Common garden experiments, where progenies from different provenances are tested under similar environmental conditions, are a useful tool for selecting forest reproductive material (FRM) adapted to a habitat (Mátyás 1996)

  • The established among-provenance variation pattern can be used as a tool in selecting FRM for artificial restoration of devastated stands at Medvednica mount, at least for habitats featured with environmental conditions similar to the trial site

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Summary

Introduction

Frequency of extreme weather events has recently increased at wide-European scale affecting forest ecosystem functioning and services provisioning to society (Neumann et al 2017). Quality FRM means, among other things, seeds or seedlings that are well adapted to habitat conditions prevailing in stands to be restored. Obtaining FRM from provenances thriving in the same environmental conditions as a local provenance (the one we want to artificially restore) seems like a simple and quick solution. Identifying such provenances is by no means an easy task. There is no perfect adaptation because various factors affect genetic constitution of a provenance ( natural selection), reducing the adaptedness of FRM (Kremer et al 2012). Ranking progenies due to its performance in provenance trials has been frequently used as a mean of determining seed zonation and seed source selection (Westfall 1992, Rehfeldt et al 1999, Kleinschmit et al 2004, Hamann et al 2011)

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