Tag: AVS

Communication Officer for AVS and JVS needed

By Viktoria Wagner (on behalf of the Chief Editor team)

Dear IAVS members,

Applied Vegetation Science and Journal of Vegetation Science are looking for a Communication Officer to help disseminate their content on social media (X, Bluesky). The communication officer will work under the supervision of the Chief Editors and prepare and post summaries of newly published articles, and thus help to build the journals’ visibility in the community.…

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Native species identity drives plant community growth and biotic resistance

Prepared by Elana V. Feldman, Timothy E. Walsworth, Karin M. Kettenring

Certain high-performing native species (right) were better at growing larger and preventing invasive Phragmites australis from growing than others (left). Photo credit: Elana Feldman

To successfully restore wetlands, it is important to understand the factors that allow native species to block invasive species growth.…

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Grazing effects on vegetation: biodiversity, management and restoration – a new Special Issue in AVS

A new Special Issue in Applied Vegetation Science focuses on the effects of grazing on vegetation.

Edited by Péter Török, Regina Lindborg, David Eldridge, and Robin Pakeman

The current Special Issue, with 16 papers and an editorial, highlights that the effects of grazing on vegetation are strongly context-dependent.…

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A deep learning framework for enhancing habitat identification based on species composition

Prepared by César Leblanc, Pierre Bonnet, Maximilien Servajean, Milan Chytrý, Svetlana Aćić, Olivier Argagnon, Ariel Bergamini, Idoia Biurrun, Gianmaria Bonari, Juan A. Campos, Andraž Čarni, Renata Ćusterevska, Michele De Sanctis, Jürgen Dengler, Emmanuel Garbolino, Valentin Golub, Ute Jandt, Florian Jansen, Maria Lebedeva, Jonathan Lenoir, Jesper Erenskjold Moeslund, Aaron Pérez-Haase, Remigiusz Pielech, Jozef Šibík, Zvjezdana Stančić, Angela Stanisci, Grzegorz Swacha, Domas Uogintas, Kiril Vassilev, Thomas Wohlgemuth, and Alexis Joly

The hdm-framework is a generic, free, and open-source framework using artificial intelligence and combining plant species composition and environmental data to enhance vegetation classification.
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Interactive effects of fire and grazing on vegetation structure and plant species composition in subtropical grasslands

Prepared by Fernando F. Furquim, John D. Scasta & Gerhard E. Overbeck

(a) Landscape overview, (b) fire and (c) fire + grazing treatments, during August/2019 prescribed fires, in subtropical grassland (Santiago, Rio Grande do Sul state, Brazil). Photos credit: Fernando Furquim

Worldwide, fire and grazing and their interaction are recognized as the main drivers of grassland plant composition and vegetation structure.…

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Fire and grazing interaction in a subhumid grassland: effects on a dominant tussock grass

Prepared by Luis López-Mársico, Felipe Lezama & Alice Altesor

Appearance of a Uruguayan grassland dominated by Saccharum angustifolium, showing flowering culms and a high accumulation of standing dead biomass due to the absence of recent burning (left); and three different moments of the burning experiment (right).
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The complex syntaxonomy of Balkan dry grasslands addressed with an innovative classification approach

The post provided by Kiril Vassilev & Jürgen Dengler

Study area in the Central and Eastern Balkan Peninsula with the distribution of the analysed plots of three widespread and one rare alliance. From the article.

This post refers to the article Classification of the high‐rank syntaxa of the Central and Eastern Balkan dry grasslands with a new hierarchical expert system approach by Vassilev et al.…

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Double-blind review procedure in the Journal of Vegetation Science and Applied Vegetation Science

Post prepared by Milan Chytrý, Valério Pillar, Jodi Price and Viktoria Wagner

Charles Fox and colleagues recently published a study that raised concerns about the fairness of the peer-review process in scientific journals (Fox et al., 2023). They conducted an extensive experiment in Functional Ecology, in which each manuscript submitted to this journal was randomly assigned to be reviewed with author identities anonymized vs.…

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