IDEAS home Printed from https://ideas.repec.org/a/caa/jnljfs/v60y2014i8id57-2014-jfs.html
   My bibliography  Save this article

Forest succession after a major anthropogenic disturbance: a case study of the Jewish Forest in the Bohemian Forest, Czech Republic

Author

Listed:
  • J. Bednařík

    (Faculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Prague, Czech Republic)

  • V. Čada

    (Faculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Prague, Czech Republic)

  • K. Matějka

    (IDS, Prague, Czech Republic)

Abstract

The knowledge of forest development after disturbances, particularly anthropogenic disturbances, is of major importance for forest management. Many areas of mountain forests in Europe have been affected by human activities such as felling and livestock grazing in the past and then left for natural succession. Those forests provide several ecosystem services (e.g. soil or avalanche protection) and therefore it is vital to know their developmental processes. The Norway spruce forest stand in the area of Medvědí Mt. (Šumava National Park, Czech Republic), known as the Jewish Forest, is considered an example of succession after anthropogenic disturbances. This study aimed to: (1) analyse the history of disturbances which affected the locality, (2) describe the subsequent process of forest succession which led to the development of the present forest formation. We conducted a dendrochronological analysis and a spatial analysis. The main cohort was established after a period of disturbances in the first half of the 20th century. Both natural (windstorm) and anthropogenic (logging and livestock grazing) disturbances coincided during this period. Regeneration of low density was restricted to a short period after the disturbance and was likely dependent on the occurrence of proper microsites. Later, regeneration was probably obstructed by lack of convenient microsites and high competition of the herb layer. Nowadays, new regeneration emerges together with proper microsite at decaying wood and near mature trees. We conclude that anthropogenic disturbances can limit the density and heterogeneity of regeneration, which leads to the establishment of sparse stand. This structure can persist for decades before proper microsites accumulate and enable regeneration.

Suggested Citation

  • J. Bednařík & V. Čada & K. Matějka, 2014. "Forest succession after a major anthropogenic disturbance: a case study of the Jewish Forest in the Bohemian Forest, Czech Republic," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 60(8), pages 336-348.
  • Handle: RePEc:caa:jnljfs:v:60:y:2014:i:8:id:57-2014-jfs
    DOI: 10.17221/57/2014-JFS
    as

    Download full text from publisher

    File URL: http://jfs.agriculturejournals.cz/doi/10.17221/57/2014-JFS.html
    Download Restriction: free of charge

    File URL: http://jfs.agriculturejournals.cz/doi/10.17221/57/2014-JFS.pdf
    Download Restriction: free of charge

    File URL: https://libkey.io/10.17221/57/2014-JFS?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. V. Čada & M. Svoboda, 2011. "Structure and origin of mountain Norway spruce in the Bohemian Forest," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 57(12), pages 523-535.
    2. D. Zahradník & S. Vacek & L. Bílek & I. Nosková & Z. Vacek, 2010. "Horizontal structure of forest stands on permanent research plots in the Krkonoše Mts. and its development," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 56(11), pages 531-540.
    3. Baddeley, Adrian & Turner, Rolf, 2005. "spatstat: An R Package for Analyzing Spatial Point Patterns," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 12(i06).
    4. I. Ulbrichová & J. Remeš & D. Zahradník, 2006. "Development of the spruce natural regeneration on mountain sites in the Šumava Mts," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 52(10), pages 446-456.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Karel MATĚJKA, 2017. "Multivariate analysis for assessment of the tree populations based on dendrometric data with an example of similarity among Norway spruce subpopulations," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 63(10), pages 449-456.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nicoletta D’Angelo & Marianna Siino & Antonino D’Alessandro & Giada Adelfio, 2022. "Local spatial log-Gaussian Cox processes for seismic data," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 106(4), pages 633-671, December.
    2. Arii, Ken & Caspersen, John P. & Jones, Trevor A. & Thomas, Sean C., 2008. "A selection harvesting algorithm for use in spatially explicit individual-based forest simulation models," Ecological Modelling, Elsevier, vol. 211(3), pages 251-266.
    3. Jiao Jieying & Hu Guanyu & Yan Jun, 2021. "A Bayesian marked spatial point processes model for basketball shot chart," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 17(2), pages 77-90, June.
    4. Jonas Rumpf & Helga Weindl & Peter Höppe & Ernst Rauch & Volker Schmidt, 2009. "Tropical cyclone hazard assessment using model-based track simulation," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 48(3), pages 383-398, March.
    5. Frank Davenport, 2017. "Estimating standard errors in spatial panel models with time varying spatial correlation," Papers in Regional Science, Wiley Blackwell, vol. 96, pages 155-177, March.
    6. Leandro, Camila & Jay-Robert, Pierre & Mériguet, Bruno & Houard, Xavier & Renner, Ian W., 2020. "Is my sdm good enough? insights from a citizen science dataset in a point process modeling framework," Ecological Modelling, Elsevier, vol. 438(C).
    7. Jesper Møller & Farzaneh Safavimanesh & Jakob Gulddahl Rasmussen, 2016. "The cylindrical $K$-function and Poisson line cluster point processes," Biometrika, Biometrika Trust, vol. 103(4), pages 937-954.
    8. Roba Bairakdar & Debbie Dupuis & Melina Mailhot, 2024. "Deviance Voronoi Residuals for Space-Time Point Process Models: An Application to Earthquake Insurance Risk," Papers 2410.04369, arXiv.org.
    9. Janine B. Illian & David F. R. P. Burslem, 2017. "Improving the usability of spatial point process methodology: an interdisciplinary dialogue between statistics and ecology," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 101(4), pages 495-520, October.
    10. Carolina Bello & Thomas W. Crowther & Danielle Leal Ramos & Teresa Morán-López & Marco A. Pizo & Daisy H. Dent, 2024. "Frugivores enhance potential carbon recovery in fragmented landscapes," Nature Climate Change, Nature, vol. 14(6), pages 636-643, June.
    11. Stanislav Vacek & Rostislav Linda & Ivo Králíček & Karel Vančura & Anna Prokůpková & Romana Prausová, 2020. "Effect of structure and dynamics of forests on the occurrence of Erythronium dens-canis," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 66(9), pages 349-360.
    12. Guangshun Bai & Xuemei Yang & Guangxin Bai & Zhigang Kong & Jieyong Zhu & Shitao Zhang, 2024. "Examining the Controls on the Spatial Distribution of Landslides Triggered by the 2008 Wenchuan Ms 8.0 Earthquake, China, Using Methods of Spatial Point Pattern Analysis," Sustainability, MDPI, vol. 16(16), pages 1-24, August.
    13. Ivan N. Kutyavin & Alexei V. Manov, 2022. "Spatial relationships of trees in middle taiga post-pyrogenic pine forest stands in the European North-East of Russia," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 68(6), pages 228-240.
    14. Pommerening, Arne & Särkkä, Aila, 2013. "What mark variograms tell about spatial plant interactions," Ecological Modelling, Elsevier, vol. 251(C), pages 64-72.
    15. Vijay Rajagopal & Gregory Bass & Cameron G Walker & David J Crossman & Amorita Petzer & Anthony Hickey & Ivo Siekmann & Masahiko Hoshijima & Mark H Ellisman & Edmund J Crampin & Christian Soeller, 2015. "Examination of the Effects of Heterogeneous Organization of RyR Clusters, Myofibrils and Mitochondria on Ca2+ Release Patterns in Cardiomyocytes," PLOS Computational Biology, Public Library of Science, vol. 11(9), pages 1-31, September.
    16. Christoph Lambio & Tillman Schmitz & Richard Elson & Jeffrey Butler & Alexandra Roth & Silke Feller & Nicolai Savaskan & Tobia Lakes, 2023. "Exploring the Spatial Relative Risk of COVID-19 in Berlin-Neukölln," IJERPH, MDPI, vol. 20(10), pages 1-22, May.
    17. Liao, Jinbao & Li, Zhenqing & Quets, Jan J. & Nijs, Ivan, 2013. "Effects of space partitioning in a plant species diversity model," Ecological Modelling, Elsevier, vol. 251(C), pages 271-278.
    18. Abdollah Jalilian, 2017. "Modelling and classification of species abundance: a case study in the Barro Colorado Island plot," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(13), pages 2401-2409, October.
    19. Golay, Jean & Kanevski, Mikhail & Vega Orozco, Carmen D. & Leuenberger, Michael, 2014. "The multipoint Morisita index for the analysis of spatial patterns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 406(C), pages 191-202.
    20. Éric Marcon & Florence Puech, 2023. "Mapping distributions in non-homogeneous space with distance-based methods [Cartographie des distributions dans un espace non homogène à l'aide de méthodes basées sur la distance]," Post-Print hal-04345149, HAL.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:caa:jnljfs:v:60:y:2014:i:8:id:57-2014-jfs. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ivo Andrle (email available below). General contact details of provider: https://www.cazv.cz/en/home/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.