LOTVS: a global collection of permanent vegetation plots

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

Sperandii, Marta Gaia; de Bello, Francesco; Valencia, Enrique; Götzenberger, Lars; Bazzichetto, Manuele; Galland, Thomas; E‐Vojtkó, Anna; Conti, Luisa; Adler, Peter B.; Buckley, Hannah; Danihelka, Jiří; Day, Nicola J.; Dengler, Jürgen; Eldridge, David J.; Estiarte, Marc; García‐González, Ricardo; Garnier, Eric; Gómez‐García, Daniel; Hallett, Lauren; Harrison, Susan; Herben, Tomas; Ibáñez, Ricardo; Jentsch, Anke; Juergens, Norbert; Kertész, Miklós; Kimuyu, Duncan M.; Klumpp, Katja; Le Duc, Mike; Louault, Frédérique; Marrs, Rob H.; Ónodi, Gábor; Pakeman, Robin J.; Pärtel, Meelis; Peco, Begoña; Peñuelas, Josep; Rueda, Marta; Schmidt, Wolfgang; Schmiedel, Ute; Schuetz, Martin; Skalova, Hana; Šmilauer, Petr; Šmilauerová, Marie; Smit, Christian; Song, Ming‐Hua; Stock, Martin; Val, James; Vandvik, Vigdis; Wesche, Karsten; Wiser, Susan K.; Woodcock, Ben A. ORCID: https://orcid.org/0000-0003-0300-9951; Young, Truman P.; Yu, Fei‐Hai; Wolf, Amelia A.; Zobel, Martin; Lepš, Jan. 2022 LOTVS: a global collection of permanent vegetation plots. Journal of Vegetation Science, 33 (2), e13115. 11, pp. 10.1111/jvs.13115

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Abstract

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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532306:183865

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532306:183865

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Information

Official URL:

http://dx.doi.org/10.1111/jvs.13115

Digital Object Identifier (DOI):

10.1111/jvs.13115

UKCEH and CEH Sections/Science Areas:

Biodiversity (Science Area 2017-24)

ISSN:

1100-9233

NORA Subject Terms:

Ecology and Environment

Additional Keywords:

ecoinformatics, ecological succession, ecosystem stability, global scale, permanent plots, plant communities, plant diversity, temporal analysis, time-series, vegetation

Additional Information:

Open Access paper - full text available via Official URL link.

Library

URI:

https://nora.nerc.ac.uk/id/eprint/532306

Item Type:

Publication - Article

Date made live:

23 Mar 2022 12:14

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