Bulletin of Forestry Science / Volume 14 / Issue 2 / Pages 17-18
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The effect of thinning on the genetic structure of beech stands – a genetic and growth assessment of three long-term beech forest thinning trials

Klára Cseke, Attila Borovics, Anikó Jagodics, Boldizsár Botond Lados, László Nagy, Attila Benke & Tamás Kollár

Correspondence

Correspondence: Cseke Klára

Postal address: 9600 Sárvár Várkerület 30/A.

e-mail: cseke.klara[at]uni-sopron.hu

Abstract

The study aimed to evaluate three long-term beech (Fagus sylvatica L.) forest thinning trials from the aspect of changes in forest yield and to explore putative changes in genetic diversity in the stands of Kőszeg, Tormafölde, and Visegrád. In the trials, we analyzed the effect of traditional and intensive thinning on two plots compared to a theoretically unmanaged control plot. Based on the tree yield data sets, we could trace abiotic damages, and in some cases, unplanned thinnings, especially from the 2000s onwards. The thinning effect on tree yield can adequately be evaluated on the plots of Tormafölde and partly in Kőszeg. The comparative analysis of the genetic diversity of the differently managed plots did not prove that genetic diversity would decrease due to thinning. The plots with the traditional thinning have almost the same or even higher genetic diversity values as the control plot. In the trial in Kőszeg, the two treated plots show higher degree of genetic similarity, while in Tormafölde, the traditionally thinned and the control plots are genetically closer to each other. The plots of Visegrád were not interpretable from both the view of yield changes and genetic patterns. The genetic diversity at the regional level was the highest in the forest stand of Kőszeg and the lowest in Visegrád.

Keywords: European beech, Fagus sylvatica L, thinning, yield, genetic diversity

References34

  • Bruegmann T., Fladung M. & Schroeder H. 2022: Flexible DNA isolation procedure for different tree species as a convenient lab routine. Silvae Genetica 71: 20–30. DOI: 10.2478/sg-2022-0003
  • Buiteveld J., Vendramin G.G., Leonardi S., Kamer K. & Geburek T. 2007: Genetic diversity and differentiation in European beech (Fagus sylvatica L.) stands varying in management history. Forest Ecology and Management 247: 98–106. DOI: 10.1016/j.foreco.2007.04.018
  • Czúcz B., Gálhidy L. & Mátyás Cs. 2013: A bükk és a kocsánytalan tölgy elterjedésének szárazsági határa. Erdészettudományi Közlemények 3(1): 39–53.
  • Csépányi P., Magassy E., Kontor Cs., Szabó Cs., Szentpéteri S., Németh R. et al. 2017: A 2014. decemberi jégkár okai és következményei a Pilisi Parkerdő ZRt. által kezelt erdőállományokra. Erdészettudományi Közlemények 7(1): 25–41. DOI: 10.17164/EK.2017.002
  • Dumolin S., Demesure B. & Petit R.J. 1995: Inheritance of chloroplast and mitochondrial genomes in pedunculate oak investigated with an efficient PCR method. Theoretical and Applied Genetics 91: 1253–1256 DOI: 10.1007/BF0022093
  • Frýdl J., Novotný P., Fennessy J. & von Wühlisch G. 2010: Genetic resources of beech in Europe – current state. Implementing output of COST Action E 52 Project "Evaluation of beech genetic resourcesfor sustainable forestry" (2006–2010). (Communicationes Instituti Forestalis Bohemicae Vol. 25.), Forestry and Game Management Research Institute, Strnady, Czech Republic.
  • Führer E., Edelényi M., Horváth L., Jagodics A., Jereb L., Kern Z., Móring A., Szabados I. & Pödör Z. 2016: Effect of weather conditions on annual and intra-annual basal area increments of a beech stand in the Sopron Mountains in Hungary. Időjárás 120(2): 127–161.
  • Gálos B. & Somogyi Z. 2017: Új klímaszcenáriók – fellélegezhetnek bükköseink? Erdészettudományi Közlemények 7(2): 85–98. DOI: 10.17164/EK.2017.006
  • Horváth A., Mátyás Cs. 2014: Növedékcsökkenés előrevetítése egy bükk származási kísérlet alapján. Erdészettudományi Közlemények 4 (2): 91-99.
  • Höhn M., Major E., Avdagić A., Bielak K., Bosela M., Coll L. et al. 2021: Local characteristics of the standing genetic diversity of European beech with high within-region differentiation at the eastern part of the range. Canadian Journal of Forest Research 51(12): 1791-1798. DOI: 10.1139/cjfr-2020-0413
  • Illés G. & Móricz N. 2022: Hazai fafajok klímaanalóg területeinek vizsgálata a klímaváltozás tükrében. Erdészettudományi Közlemények 12(2): 91-112. DOI: 10.17164/EK.2022.06
  • Janik G., Hirka A., Koltay A., Juhász J. & Csóka Gy. 2016: 50 év biotikus kárai a magyar bükkösökben. Erdészettudományi Közlemények 6(1): 45-60. DOI: 10.17164/EK.2016.005
  • Kamvar Z.N., Tabima J.F. & Grünwald N.J. 2014 Poppr: an R package for genetic analysis of populations with clonal, partially clonal, and/or sexual reproduction. PeerJ 2:e281. DOI: 10.7717/peerj.281
  • Kollár T. & Borovics A. 2021: A magyarországi hosszú lejáratú tartamkísérleti hálózat fenntartásának korszerű irányelvei, adatfeldolgozási módszerei és legfontosabb eredményei. Erdészettudományi Közlemények 11(1-2): 95-114. DOI: 10.17164/EK.2021.006
  • KollárT. 2023: Bükk (Fagus sylvatica) állományok fatermési függvénye és táblája az ERTI tartamkísérleti hálózatának adatbázisa alapján. Erdészettudományi Közlemények 12(1): 5-29. DOI: 10.17164/EK.2022.01
  • Madas L. 1956: Ígéretes fákra alapított fatermesztési terv a visegrádi 77/A erdőrészben. Országos Erdészeti Főigazgatóság, Budapest.
  • Magri D., Vendramin G.G., Comps B., Dupanloup I., Geburek T., Gömöry D., et al. 2006: A new scenario for the Quaternary history of European beech populations: palaeobotanical evidence and genetic consequences. New Phytologist 171: 199-221. DOI: 10.1111/j.1469-8137.2006.01740.x
  • Mátyás Cs. 2002: Antropogén hatások. In: Mátyás Cs.: Erdészeti-természetvédelmi genetika. Mezőgazda Kiadó, Budapest, 267– 313 pp.
  • Mendlik G. 1974: A visegrádi bükk erdőnevelési sor 5. és 10. éves újrafelvételének eredményei. Erdészeti Kutatások 1973. 69(1): 183–190.
  • Mendlik, G., 1976. A bükkösök erdőnevelésének legújabb eredményei. Erdészeti Kutatások 1975. 71(1): 159-165.
  • Nei M. 1978: Estimation of average heterozygosity and genetic distance from a small number of individuals. Genetics 89(3): 583-590. DOI: 10.1093/genetics/89.3.583
  • Paffetti D., Travaglini D., Buonamici A., Nocentini S., Vendramin G.G., Giannini R. & Vettori C. 2012: The influence of forest management on beech (Fagus sylvatica L.) stand structure and genetic diversity. Forest Ecology and Management 284: 34–44. DOI: 10.1016/j.foreco.2012.07.026
  • Pastorelli R., Smulders J.M.J., Van’t Westende W.P.C., Vosman B., Giannini R., Vettori C. & Vendramin G.G. 2003: Characterization of microsatellite markers in Fagus sylvatica L. and Fagus orientalis Lipsky. Molecular Ecology Notes 3(1): 76–78. DOI: 10.1046/j.1471-8286.2003.00355.x.
  • Peakall P.E. & Smouse R. 2012: GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research – an update. Bioinformatics 28(19): 2537–2539. DOI: 10.1093/bioinformatics/bts460
  • Peakall R. & Smouse P.E. 2006: GENALEX 6: genetic analysis in Excel. Population genetic software for teaching and research. Molecular Ecology Notes 6(1): 288-295. DOI: 10.1111/j.1471-8286.2005.01155.x
  • Piotti A., Leonardi S., Heuertz M., Buiteveld J., Geburek T., Gerber S., Kramer K., Vettori C. & Vendramin G.G. 2013: Within-population genetic structure in beech (Fagus sylvatica L.) stands characterized by different disturbance
  • histories: does forest management simplify population substructure? PLOS One 8, e73391. DOI: 10.1371/journal.pone.0073391
  • R Core Team. 2022: R: A language and environment for statistical computing. R Foundation for Statistical Computing. http://www.R-project.org/
  • Somogyi Z. 2016: Projected effects of climate change on the carbon stocks of European beech (Fagus sylvatica L.) forests in Zala County, Hungary. Central European Forestry Journal 62(1): 3–14. DOI: 10.1515/forj-2016-0001
  • Soó R. 1964: A magyar flóra és vegetáció rendszertani-növényföldrajzi kézikönyve. I. kötet, Akadémiai Kiadó, Budapest, 61-63.
  • Szakács L. 2022: A tájcsoport erdészettörténeti leírása. In Führer E. (ed.): Magyarország erdészeti tájai. V. NyugatDunántúl erdészeti tájcsoport. Agrárminisztérium Nemzeti Földügyi Központ, Budapest, 33–42.
  • Tanaka K., Tsumura Y. & Nakamura T. 1999: Development and polymorphism of microsatellite markers for Fagus crenata and the closely related species, F. japonica. Theoretical and Applied Genetics 99: 11–15. DOI: 10.1007/s001220051203
  • Wickham H. 2016: ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York. https://ggplot2.tidyverse.org
  • Yu G., Smith D.K., Zhu H., Guan Y. & Lam T.T.-Y. 2017: ggtree: an r package for visualization and annotation of phylogenetic trees with their covariates and other associated data. Methods in Ecology and Evolution 8(1): 28–36. DOI: 10.1111/2041-210X.12628

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    Cseke, K., Borovics, A., Jagodics, A., Lados, B. B., Nagy, L., Benke, A. & Kollár, T. (2024): The effect of thinning on the genetic structure of beech stands – a genetic and growth assessment of three long-term beech forest thinning trials. Bulletin of Forestry Science, 14(2): 17-18. (in Hungarian) DOI: 10.17164/EK.2024.09

    Volume 14, Issue 2
    Pages: 17-18

    DOI: 10.17164/EK.2024.09

    First published:
    24 January 2025

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