Journal of Vegetation Science

Cover image for Vol. 27 Issue 4

Chief Editors: Alessandro Chiarucci, Valerio Pillar, with Milan Chytrý, Meelis Pärtel (Chair of the Editors)

Impact Factor: 3.151

ISI Journal Citation Reports © Ranking: 2015: 3/66 (Forestry); 34/209 (Plant Sciences); 39/149 (Ecology)

Online ISSN: 1654-1103

Associated Title(s): Applied Vegetation Science

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The following are the most downloaded papers in Journal of Vegetation Science during 2015 / 2014

Which is a better predictor of plant traits: temperature or precipitation?Angela T. Moles, Sarah E. Perkins, Shawn W. Laffan, et al.

Spatial scale resolves the niche versus neutral theory debate.Jonathan M. Chase.

Plant assemblages do not respond homogenously to local variation in environmental conditions: functional responses differ with species identity and abundance.Bright B. Kumordz, David A. Wardle and Grégoire T. Freschet.

Quantifying multimodal trait distributions improves trait-based predictions of species abundances and functional diversity.Daniel C. Laughlin, Chaitanya Joshi, Sarah J. Richardson, et al.

Between- and within-species trait variability and the assembly of sapling communities in forest patches.Marcos B. Carlucci, Vanderlei J. Debastiani, Valério D. Pillar and Leandro D. S. Duarte.

Recently Published Articles

  1. Linking the impacts of plant invasion on community functional structure and ecosystem properties

    Pilar Castro-Díez, Aníbal Pauchard, Anna Traveset and Montserrat Vilà

    Version of Record online: 25 JUL 2016 | DOI: 10.1111/jvs.12429

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    Invasive plants tend to reduce the species richness of local communities. We explore the consequences of species changes, caused by the invader Carpobrotus spp., from a functional perspective. We compared indexes of functional structure between invaded and non-invaded plots, and related these indexes with ecosystem processes. This approach provides more insight on the functional consequences of plant invasions.

  2. The theory of the nested species–area relationship: geometric foundations of biodiversity scaling

    David Storch

    Version of Record online: 25 JUL 2016 | DOI: 10.1111/jvs.12428

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    The species-area relationship (SAR) is a major biodiversity pattern. When smaller plots are nested within larger ones, the SAR is triphasic: steep for small areas, then shallow, and steep again at continental scales. This shape is predictable and can be derived using simple geometric arguments, since the steepness of the SAR systematically depends on species rarity at each spatial scale.

  3. Both below-ground and above-ground functional traits can help predict levee grassland root length density as a proxy for flow erosion resistance

    Kenny Helsen, Wouter Vannoppen, Olivier Honnay and Jean Poesen

    Version of Record online: 21 JUL 2016 | DOI: 10.1111/jvs.12442

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    We show that vegetation-level root length density (RLD), a proxy for flow erosion resistance, is correlated with functional diversity and functional composition, likely through non-additive diversity effects and biomass-ratio effects. This illustrates that database collected functional trait values can be used to predict RLD variation for levee grasslands, possibly presenting a non-destructive alternative to assess grassland erosion resistance.

  4. The role of randomization tests in vegetation boundary detection with moving split-window analysis

    László Körmöczi, Zoltán Bátori, László Erdős, Csaba Tölgyesi, Márta Zalatnai and Csaba Varró

    Version of Record online: 12 JUL 2016 | DOI: 10.1111/jvs.12439

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    We demonstrated that the distribution of dissimilarity values used in moving split-window analysis deviates always significantly from the normal distribution. The effect of some randomisation methods was tested on the power of the statistic. We suggest the use of random shift permutation in moving split-window analysis since this is the most sensitive in distinction between significant and non-significant discontinuities.

  5. A review of software tools for spell-checking taxon names in vegetation databases

    Viktoria Wagner

    Version of Record online: 12 JUL 2016 | DOI: 10.1111/jvs.12432

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    I tested the capacity of six software tools to spell-check taxon names in vegetation data. Specifically, I evaluated their ability to proofread names across different taxonomic ranks, organism groups, and geographic regions. The Global Names Resolver was the most powerful software tool. Given some general limitations, all reviewed software should be used in a semi-automatic rather than automatic way.

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