Changes in vegetation types and Ellenberg indicator values after 65 years of fertilizer application in the Rengen Grassland Experiment, Germany.
By Milan Chytrý, M. Hejcman, Stephan Hennekens, Jürgen Schellberg. 2009
100 citations recorded by the source corpus.
Subfields: Ecology, Nature and Landscape Conservation, Plant Science
View Paper: https://www.semanticscholar.org/paper/85e43e73899c16174dd170c107c3627432bac8bd
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In Ecology
In Nature and Landscape Conservation
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Citations in the corpus
- Too good to be true: pitfalls of using mean Ellenberg indicator values in vegetation analyses (2012, methodology): “For example, Chytrý et al. (2009) used this argument to explain why the plots in a fertilization experiment significantly differed in mean EIVs for continentality, even if this was not experimentally manipulated.”
- Does phosphorus limitation promote species-rich plant communities? (2011, unknown): “These different species compositions became very obvious in long-term fertilization experiments such as Park Grass (Tilman 1982), Rengen (Chytry et al. 2009), or Černíkovice (Honsova et al.”
- Which results of the standard test for community‐weighted mean approach are too optimistic? (2018, background): “…composition to species attributes, such as experimental studies in which the effect of experimental treatment (sample attribute) on species composition is acknowledged, and the question is about the response of species attributes to it (e.g. Ellenberg- type indicator values, Chytrý et al., 2009).”
- History or abiotic filter: which is more important in determining the species composition of calcareous grasslands? (2009, background): “…concentrations (from 20 mg P/kg soil; Hejcman et al. 2007, 2009) and that the indicator values for terrestrial plants only take into account nitrogen and ignore the fact that P and K may be limiting under certain conditions (Schaffers & Sýkora 2000, Niinemets & Kull 2005, Chytrý et al. 2009).”
- Ellenberg-type indicator values for the Czech flora (2018, methodology): “In spite of certain limitations (Schaffers & Sýkora 2000, Wamelink et al. 2002, Diekmann 2003, Chytrý et al. 2009, Zelený & Schaffers 2012, Bartelheimer & Poschlod 2016, Berg et al. 2017), they remain a very popular tool in vegetation science and are also used for assessing ecological conditions in…”