LOTVS: A global collection of permanent vegetation plots

0556618 - BÚ 2023 RIV NL eng J - Článek v odborném periodiku
Gaia Sperandii, M. - de Bello, F. - Valencia, E. - Götzenberger, Lars - Bazzichetto, M. - Galland, T. - E-Vojtkó, Anna - Conti, Luisa - Adler, P. - Buckley, H. - Danihelka, Jiří - Day, N. - Dengler, J. - Eldridge, D. - Estiarte, M. - García-González, R. - Garnier, E. - Gómez-García, D. - Hallett, L. - Harrison, S. - Herben, Tomáš - Ibanez, R. - Jentsch, A. - Juergens, N. - Kertesz, M. - Kimuyu, D. - Klumpp, K. - Le Duc, M. - Louault, F. - Marrs, R. - Ónodi, G. - Pakeman, R. J. - Pärtel, M. - Peco, B. - Peñuelas, J. - Rueda, M. - Schmidt, W. - Schmiedel, U. - Schuetz, M. - Skálová, Hana - Šmilauer, P. - Šmilauerová, M. - Smit, C. - Song, M.-H. - Stöck, M. - Val, J. - Vandvik, V. - Wesche, K. - Wiser, S. K. - Woodcock, B. A. - Young, T. P. - Fei-Hai, Y. - Wolf, A. A. - Zobel, M. - Lepš, J.
LOTVS: A global collection of permanent vegetation plots.
Journal of Vegetation Science. Roč. 33, č. 2 (2022), č. článku e13115. ISSN 1100-9233. E-ISSN 1654-1103
Grant CEP: GA ČR GA20-02901S
Institucionální podpora: RVO:67985939
Klíčová slova: ecoinformatics * ecological succession * ecosystem stability
Obor OECD: Ecology
Impakt faktor: 2.8, rok: 2022
Způsob publikování: Open access
https://doi.org/10.1111/jvs.13115

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.
Trvalý link: http://hdl.handle.net/11104/0331466