LOTVS: A global collection of permanent vegetation plots

• DOI: 10.1111/jvs.13115
• Publication Date: 2022-01-30T12:59:03Z
• Authors: Marta Gaia Sperandii; Francesco de Bello; Enrique Valencia; Lars Götzenberger; Manuele Bazzichetto; Thomas Galland; Anna E‐Vojtkó; Luisa Conti; Peter B. Adler; Hannah Buckley; Jiří Danihelka; Nicola J. Day; Jürgen Dengler; David J. Eldridge; Marc Estiarte; Ricardo García‐Go...; Eric Garnier; Daniel Gómez‐García; Lauren Hallett; Susan Harrison; Tomas Herben; Ricardo Ibáñez; Anke Jentsch; Norbert Juergens; Miklós Kertész; Duncan M. Kimuyu; Katja Klumpp; Mike Le Duc; Frédérique Louault; Rob H. Marrs; Gábor Ónodi; Robin J. 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 K. Wiser; Ben A. Woodcock; Truman P. Young; Fei‐Hai Yu; Amelia A. Wolf; Martin Zobel; Jan Lepš
• Keywords: 0301 basic medicine; Plant communities; temporal analysis; 577; ecological succession; ecoinformatics; vegetation.; 03 medical and health sciences; vegetation; Ecological succession; Ecoinformatics; Global scale; 2. Zero hunger; ecosystem stability; Vegetation; time-series; ecoinformatics; ecological succession; ecosystem stability; global scale; permanent plots; plant communities; plant diversity; temporal analysis; time-series; vegetation; Temporal analysis; 15. Life on land; plant diversity; plant communities; Plant diversity; global scale; Ecosystem stability; Permanent plots; permanent plots; Time-series; [SDE.BE]Environmental Sciences/Biodiversity and Ecology

AbstractAnalysing 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.