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Initial species composition predicts the progress in the spontaneous succession on post-mining sites

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11690%2F16%3A10328361" target="_blank" >RIV/00216208:11690/16:10328361 - isvavai.cz</a>

  • Alternative codes found

    RIV/67985939:_____/16:00467180 RIV/00216208:11310/16:10328361

  • Result on the web

    <a href="http://dx.doi.org/10.1016/j.ecoleng.2016.07.002" target="_blank" >http://dx.doi.org/10.1016/j.ecoleng.2016.07.002</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.ecoleng.2016.07.002" target="_blank" >10.1016/j.ecoleng.2016.07.002</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Initial species composition predicts the progress in the spontaneous succession on post-mining sites

  • Original language description

    Although research has demonstrated that spontaneous succession of vegetation can be useful for the restoration of post-mining sites, spontaneous succession has only rarely been taken advantage of because of its low predictability. Spontaneous succession is difficult to predict because it depends, especially in the first stages, on many stochastic processes. Our goal was to determine whether the succession can be predicted based on the study of the chronosequence (space for time substitution) and whether the predictability of spontaneous succession can be improved by inventorying the plant community at disturbed sites during the initial stages of succession. After investigating successional changes by annual resampling of 50 permanent plots during 8 years (2007-2014) at chronosequence of five post mining sites (created in 1965, 1987, 1990, 1995, and 2003) and located in the Sokolov coal mining district (northwestern Czech Republic), we found that species composition of younger chronosequence sites changes predictably towards the older sites. Simple parameters of initial species composition (cover of woody species, cover of the dominant grass Calamagrostis epigejos, total plant cover, and number of species) explained 24% of the variability in species composition in the last year of observation. The best predictor was cover of woody species. In the first years of succession, the post-mining sites are usually colonized by herbaceous vegetation but often also by pioneer trees. Over the next 20 years, succession may proceed to a forest stage or maybe arrested in a non-forest stage, and this can be predicted based on woody species establishment early in succession. We demonstrate that inventorying vegetation before selecting restoration activities might improve the ability to predict the outcome of spontaneous succession and might therefore simplify its use in restoration.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    EH - Ecology - communities

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2016

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Ecological Engineering

  • ISSN

    0925-8574

  • e-ISSN

  • Volume of the periodical

    95

  • Issue of the periodical within the volume

    October 2016

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    6

  • Pages from-to

    665-670

  • UT code for WoS article

    000385371400077

  • EID of the result in the Scopus database

    2-s2.0-84979231297