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Quantifying the potential impact of alien plants of Iran using the Generic Impact Scoring System (GISS) and Environmental Impact Classification for Alien Taxa (EICAT)

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Abstract

Assessing the impacts of alien plant species is scientifically important and critical for supporting invasion-related policies. Generic Impact Scoring System (GISS) and Environmental Impact Classification for Alien Taxa (EICAT) are standardized schemes to evaluate, compare, and eventually predict the magnitudes of the variety of impacts invasive species can have. Here, we apply these two systems to classify alien plants of Iran according to the magnitude of their environmental and socioeconomic impacts. A review of published literature and online resources was undertaken to collate information on the reported environmental and socioeconomics impacts of 27 alien plants in Iran. The resulting data ranked species by their total sum of impact scores and by their highest scores. According to total impact scores from GISS Eichhornia crassipes, Ailanthus altissima, Imperata cylindrica, Amsinckia menziesii, and Paulownia sp. had the highest impacts. About 60% of alien plants assessed had higher environmental impacts than socioeconomic impacts, 18% had higher scores for socioeconomic impacts, and 22% scored the same in both categories. According to EICAT, Ulex europaeus, Ambrosia psilostachya, E. crassipes, A. altissima, and A. menziesii were the five species with major impacts; other 16 species (59%) were classified as with moderate impacts, five with minor and two of minimal concern. Seven species had similar rankings by both GISS and EICAT. The deficit of scientific literature to quantify impacts on complex ecosystem services in Iran or emphasis on the reversibility of impacts in the EICAT protocol could explain differences in ranking of species by the two schemes. GISS and EICAT could be used to link impact magnitudes and type (environmental or socioeconomic) to biological traits to understand and forecast species with different types of impact.

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Acknowledgements

PP and JP were supported by EXPRO Grant No. 19-28807X and Grant No. 17-19025S (Czech Science Foundation) and long-term research development project RVO 67985939 (Czech Academy of Sciences). Gorgan University of Agricultural Sciences and Natural Resources (GUASNR), Iran supported this research. LCF acknowledges the Centre for Invasion Biology, Stellenbosch University, for support.

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Authors and Affiliations

  1. Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran

    Sima Sohrabi

  2. Department of Invasion Ecology, Institute of Botany, Czech Academy of Sciences, 252 43, Průhonice, Czech Republic

    Jan Pergl & Petr Pyšek

  3. Department of Ecology, Faculty of Science, Charles University, Viničná 7, 128 44, Prague, Czech Republic

    Petr Pyšek

  4. Scientific Services, South African National Parks, Pretoria, South Africa

    Llewellyn C. Foxcroft

  5. Department of Botany and Zoology, Centre for Invasion Biology, Stellenbosch University, Stellenbosch, South Africa

    Llewellyn C. Foxcroft

  6. Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran

    Javid Gherekhloo

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  1. Sima Sohrabi
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Sohrabi, S., Pergl, J., Pyšek, P. et al. Quantifying the potential impact of alien plants of Iran using the Generic Impact Scoring System (GISS) and Environmental Impact Classification for Alien Taxa (EICAT). Biol Invasions 23, 2435–2449 (2021). https://doi.org/10.1007/s10530-021-02515-6

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