New method for extracting plant indicators based on their adaptive responses to management practices: application to semi-natural and artificial grassland data

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  • Additional Information
    • Publication Information:
      Blackwell Publishing Ltd, 2013.
    • Publication Date:
      2013
    • Abstract:
      Questions: What is the best way to identify plant indicators for monitoring the responses of semi-natural grassland communities to various management practices (i.e. burning, burning and mowing, burning and grazing)? Can a multi-trait plant functional group (PFG) approach extract indicator species more effectively than a single-trait approach? Location: Semi-natural and artificial grasslands in the northern and eastern parts of the somma of Mt. Aso, Kumamoto Prefecture, Japan. Methods: We analysed a data set from 203 semi-natural and artificial grassland vegetation plots (each 1 m × 1 m), and compared species and functional compositions among the management types and between the northern and eastern locations using non-metric multidimensional scaling (NMDS). Potential indicator species were extracted by indicator species analysis (INSPAN) and compared with the results of single-trait and multitrait PFG approaches, which classify plant species into groups based on individual or combinations of traits (growth form, life span, dispersal mode, flowering season and plant height). Results: Only the multi-trait PFG approach successfully clustered the vegetation plots for each management type. Semi-natural burned-and-grazed grasslands in the eastern and northern regions were characterized by a specific PFG among 21 PFGs, whereas the same three PFGs characterized the burned-and-mowed semi-natural grassland of the two regions. The extracted PFGs represent combinations of vegetative, dispersal and reproductive traits (e.g. short, wind- and animal-dispersed species for grazed semi-natural grasslands; tall, summer-flowering forbs for mowed semi-natural grasslands). As compared to indicator species extracted by the multi-trait PFG approach, INSPAN extracted additional indicator species, but some of these were inappropriate. Conclusions: We identified PFGs representing each management type and characterized species adaptations to different disturbance regimes, such as mowing and grazing. Among the species extracted by INSPAN, only those classified into the representative PFGs can serve as indicators for characterizing managed semi-natural grasslands. Our findings indicate that using a multi-trait PFG approach can provide reasonable plant indicators for monitoring grassland communities throughout the regions when combined with a species-based INSPAN approach. This proposed method would contribute to the conservation of plant biodiversity in threatened semi-natural grazed and mowed grasslands.
    • ISSN:
      14022001
      1654109X
    • Accession Number:
      10.1111/j.1654-109X.2012.01204.x
    • Rights:
      Copyright © 2013 International Association for Vegetation Science
    • Accession Number:
      edsjsr.24030584
  • Citations
    • ABNT:
      TOMOYO KOYANAGI et al. New method for extracting plant indicators based on their adaptive responses to management practices: application to semi-natural and artificial grassland data. Applied Vegetation Science, [s. l.], v. 16, n. 1, p. 95, 2013. Disponível em: . Acesso em: 18 out. 2019.
    • AMA:
      Tomoyo Koyanagi, Yoshinobu Kusumoto, Syuntaro Hiradate, et al. New method for extracting plant indicators based on their adaptive responses to management practices: application to semi-natural and artificial grassland data. Applied Vegetation Science. 2013;16(1):95. doi:10.1111/j.1654-109X.2012.01204.x.
    • APA:
      Tomoyo Koyanagi, Yoshinobu Kusumoto, Syuntaro Hiradate, Sayaka Morita, Masashi Yokogawa, Yoshitaka Takahashi, & Chiyoshi Sato. (2013). New method for extracting plant indicators based on their adaptive responses to management practices: application to semi-natural and artificial grassland data. Applied Vegetation Science, 16(1), 95. https://doi.org/10.1111/j.1654-109X.2012.01204.x
    • Chicago/Turabian: Author-Date:
      Tomoyo Koyanagi, Yoshinobu Kusumoto, Syuntaro Hiradate, Sayaka Morita, Masashi Yokogawa, Yoshitaka Takahashi, and Chiyoshi Sato. 2013. “New Method for Extracting Plant Indicators Based on Their Adaptive Responses to Management Practices: Application to Semi-Natural and Artificial Grassland Data.” Applied Vegetation Science 16 (1): 95. doi:10.1111/j.1654-109X.2012.01204.x.
    • Harvard:
      Tomoyo Koyanagi et al. (2013) ‘New method for extracting plant indicators based on their adaptive responses to management practices: application to semi-natural and artificial grassland data’, Applied Vegetation Science, 16(1), p. 95. doi: 10.1111/j.1654-109X.2012.01204.x.
    • Harvard: Australian:
      Tomoyo Koyanagi, Yoshinobu Kusumoto, Syuntaro Hiradate, Sayaka Morita, Masashi Yokogawa, Yoshitaka Takahashi & Chiyoshi Sato 2013, ‘New method for extracting plant indicators based on their adaptive responses to management practices: application to semi-natural and artificial grassland data’, Applied Vegetation Science, vol. 16, no. 1, p. 95, viewed 18 October 2019, .
    • MLA:
      Tomoyo Koyanagi, et al. “New Method for Extracting Plant Indicators Based on Their Adaptive Responses to Management Practices: Application to Semi-Natural and Artificial Grassland Data.” Applied Vegetation Science, vol. 16, no. 1, 2013, p. 95. EBSCOhost, doi:10.1111/j.1654-109X.2012.01204.x.
    • Chicago/Turabian: Humanities:
      Tomoyo Koyanagi, Yoshinobu Kusumoto, Syuntaro Hiradate, Sayaka Morita, Masashi Yokogawa, Yoshitaka Takahashi, and Chiyoshi Sato. “New Method for Extracting Plant Indicators Based on Their Adaptive Responses to Management Practices: Application to Semi-Natural and Artificial Grassland Data.” Applied Vegetation Science 16, no. 1 (2013): 95. doi:10.1111/j.1654-109X.2012.01204.x.
    • Vancouver/ICMJE:
      Tomoyo Koyanagi, Yoshinobu Kusumoto, Syuntaro Hiradate, Sayaka Morita, Masashi Yokogawa, Yoshitaka Takahashi, et al. New method for extracting plant indicators based on their adaptive responses to management practices: application to semi-natural and artificial grassland data. Applied Vegetation Science [Internet]. 2013 [cited 2019 Oct 18];16(1):95. Available from: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsjsr&AN=edsjsr.24030584&custid=s8280428