IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i22p12803-d683015.html
   My bibliography  Save this article

Half of the Ancient Trees in Hungary Stand in Human-Altered Environments

Author

Listed:
  • Márton Takács

    (Department of Nature Conservation and Landscape Management, Hungarian University of Agriculture and Life Sciences, Páter K. 1, 2100 Gödöllő, Hungary)

  • Ákos Malatinszky

    (Department of Nature Conservation and Landscape Management, Hungarian University of Agriculture and Life Sciences, Páter K. 1, 2100 Gödöllő, Hungary)

Abstract

Big trees contribute to various ecosystem functions and spiritual values are given to them by local people, yet they are endangered. We compiled the health status, accessibility, and local habitat categories of the 2000 biggest (considering girth) trees in Hungary in 531 settlements. A total of 1550 specimens belong to 29 indigenous species, while 450 are non-indigenous (43 species). Most of them stand in a forest or park (not as a solitary tree), in the North Hungarian Range. Altogether, half of the ancient trees in Hungary stand in human-altered environments. Three-quarters are in a fair health condition. However, only 10.3% of the biggest white willows and 24.5% of the biggest sweet chestnuts are in good or excellent condition. A number of 121 big trees should no longer be listed in the nationwide online database because they died, or no longer reach the girth criteria (e.g., due to breakage). This number proves that any kind of documentation is important. More than half of the trees are easily accessible, while 9% are very difficult to reach. Only a very few big trees receive legal protection at the local or national level, on their own or in the habitat where they stand.

Suggested Citation

  • Márton Takács & Ákos Malatinszky, 2021. "Half of the Ancient Trees in Hungary Stand in Human-Altered Environments," Sustainability, MDPI, vol. 13(22), pages 1-18, November.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:22:p:12803-:d:683015
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/22/12803/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/22/12803/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jindong Wu, 2019. "Developing General Equations for Urban Tree Biomass Estimation with High-Resolution Satellite Imagery," Sustainability, MDPI, vol. 11(16), pages 1-19, August.
    Full references (including those not matched with items on IDEAS)

    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.

      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:gam:jsusta:v:13:y:2021:i:22:p:12803-:d:683015. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

      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.