LOTVS: A global collection of permanent vegetation plots

Marta Gaia Sperandii; Francesco de Bello; Enrique Valencia; Lars Götzenberger; Manuele Bazzichetto; Thomas Galland; Anna E-vojtkó; Luisa Conti; Peter Adler; Hannah Buckley; Jiří Danihelka; Nicola Day; Jürgen Dengler; David Eldridge; Marc Estiarte; Ricardo García-gonzález; Eric Garnier; Daniel Gómez-garcía; Lauren Hallett; Susan Harrison; Tomas Herben; Ricardo Ibáñez; Anke Jentsch; Norbert Juergens; Miklós Kertész; Duncan Kimuyu; Katja Klumpp; Mike Le Duc; Frédérique Louault; Rob Marrs; Gábor Ónodi; Robin Pakeman; Meelis Pärtel; Begoña Peco; Josep Peñuelas; Marta Rueda; Wolfgang Schmidt; Ute Schmiedel; Martin Schuetz; Hana Skalova; Petr Šmilauer; Marie Šmilauerová; Christian Smit; Ming‐hua Song; Martin Stock; James Val; Vigdis Vandvik; Karsten Wesche; Susan Wiser; Ben Woodcock; Truman Young; Fei‐hai Yu; Amelia Wolf; Martin Zobel; Jan Lepš

doi:10.1111/jvs.13115

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LOTVS: A global collection of permanent vegetation plots

Journal article

Peer reviewed

LOTVS: A global collection of permanent vegetation plots

Marta Gaia Sperandii, Francesco de Bello, Enrique Valencia, Lars Götzenberger, Manuele Bazzichetto, Thomas Galland, Anna E-vojtkó, Luisa Conti, Peter Adler, Hannah Buckley, …

Journal of vegetation science, Vol.33(2), p.n/a

03/2022

DOI: https://doi.org/10.1111/jvs.13115

Abstract

Biodiversity and Ecology

Environmental Sciences

Analysing temporal patterns in plant communities is extremely important to quantify the extent and the consequences of ecological changes, especially considering the current biodiversity crisis. Long-term data collected through the regular sampling of permanent plots represent the most accurate resource to study ecological succession, analyse the stability of a community over time and understand the mechanisms driving vegetation change. We hereby present the LOng-Term Vegetation Sampling (LOTVS) initiative, a global collection of vegetation time-series derived from the regular monitoring of plant species in permanent plots. With 79 data sets from five continents and 7,789 vegetation time-series monitored for at least 6 years and mostly on an annual basis, LOTVS possibly represents the largest collection of temporally fine-grained vegetation time-series derived from permanent plots and made accessible to the research community. As such, it has an outstanding potential to support innovative research in the fields of vegetation science, plant ecology and temporal ecology.

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Title: LOTVS: A global collection of permanent vegetation plots
Creators - without role: Marta Gaia Sperandii - Centre d'Investigacions sobre Desertificació
Francesco de Bello - Centre d'Investigacions sobre Desertificació
Enrique Valencia - Universidad Rey Juan Carlos
Lars Götzenberger - University of South Bohemia in České Budějovice
Manuele Bazzichetto - Centre d'Investigacions sobre Desertificació
Thomas Galland - University of South Bohemia in České Budějovice
Anna E-vojtkó - South Bohemian Research Center of Aquaculture and Biodiversity of Hydrocenoses [University of South Bohemia]
Luisa Conti - Czech University of Life Sciences Prague
Peter Adler - Utah State University
Hannah Buckley - Auckland University of Technology
Jiří Danihelka - Masaryk University
Nicola Day - Victoria University of Wellington
Jürgen Dengler - German Centre for Integrative Biodiversity Research
David Eldridge - Environmental Earth Sciences
Marc Estiarte - Centre for Research on Ecology and Forestry Applications
Ricardo García-gonzález - Instituto Pirenaico de Ecología
Eric Garnier - École Pratique des Hautes Études
Daniel Gómez-garcía - Instituto Pirenaico de Ecología
Lauren Hallett - University of Oregon
Susan Harrison - University of California, Davis
Tomas Herben - Charles University
Ricardo Ibáñez - Universidad de Navarra
Anke Jentsch - University of Bayreuth
Norbert Juergens - Universität Hamburg
Miklós Kertész - Institute of Ecology and Botany
Duncan Kimuyu - Karatina University
Katja Klumpp - University of Clermont Auvergne
Mike Le Duc - University of Liverpool
Frédérique Louault - University of Clermont Auvergne
Rob Marrs - University of Liverpool
Gábor Ónodi - Institute of Ecology and Botany
Robin Pakeman - James Hutton Institute
Meelis Pärtel - University of Tartu
Begoña Peco - Autonomous University of Madrid
Josep Peñuelas - Centre for Research on Ecology and Forestry Applications
Marta Rueda - Universidad de Sevilla
Wolfgang Schmidt - University of Göttingen
Ute Schmiedel - Universität Hamburg
Martin Schuetz - Swiss Federal Institute for Forest, Snow and Landscape Research
Hana Skalova - Czech Academy of Sciences, Institute of Botany
Petr Šmilauer - University of South Bohemia in České Budějovice
Marie Šmilauerová - University of South Bohemia in České Budějovice
Christian Smit - Groningen Institute for Evolutionary Life Sciences [Groningen]
Ming‐hua Song - University of Chinese Academy of Sciences [Beijing]
Martin Stock - Wadden Sea National Park of Schleswig-Holstein
James Val - Environmental Earth Sciences
Vigdis Vandvik - Bjerknes Centre for Climate Research
Karsten Wesche - Senckenberg Museum für Naturkunde Görlitz
Susan Wiser - Manaaki Whenua – Landcare Research
Ben Woodcock - UK Centre for Ecology & Hydrology
Truman Young - University of California, Davis
Fei‐hai Yu - Taizhou University
Amelia Wolf - Mpala Research Center and Wildlife Foundation
Martin Zobel - University of Tartu
Jan Lepš - University of South Bohemia in České Budějovice
Publication Details: Journal of vegetation science, Vol.33(2), p.n/a
Publisher: Wiley
Identifiers: 9948582008331
Academic Unit: King Saud University
Language: English
Resource Type: Journal article