| Publikationstyp: | Beitrag in wissenschaftlicher Zeitschrift |
| Art der Begutachtung: | Peer review (Publikation) |
| Titel: | LOTVS : a global collection of permanent vegetation plots |
| Autor/-in: | 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 |
| et. al: | No |
| DOI: | 10.1111/jvs.13115 |
| Erschienen in: | Journal of Vegetation Science |
| Band(Heft): | 33 |
| Heft: | 2 |
| Seite(n): | e13115 |
| Erscheinungsdatum: | 7-Mär-2022 |
| Verlag / Hrsg. Institution: | Wiley |
| ISSN: | 1100-9233 1654-1103 |
| Sprache: | Englisch |
| Schlagwörter: | Ecoinformatics; Ecological succession; Ecosystem stability; Global scale; Permanent plot; Plant community; Plant diversity; Temporal analysis; Time-series; Vegetation |
| Fachgebiet (DDC): | 577: Ökologie 580: Pflanzen (Botanik) |
| Zusammenfassung: | 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. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/24550 |
| Volltext Version: | Publizierte Version |
| Lizenz (gemäss Verlagsvertrag): | Lizenz gemäss Verlagsvertrag |
| Departement: | Life Sciences und Facility Management |
| Organisationseinheit: | Institut für Umwelt und Natürliche Ressourcen (IUNR) |
| Enthalten in den Sammlungen: | Publikationen Life Sciences und Facility Management |
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Sperandii, M. G., de Bello, F., Valencia, E., Götzenberger, L., Bazzichetto, M., Galland, T., E‐Vojtkó, A., Conti, L., Adler, P. B., Buckley, H., Danihelka, J., Day, N. J., Dengler, J., Eldridge, D. J., Estiarte, M., García‐González, R., Garnier, E., Gómez‐García, D., Hallett, L., et al. (2022). LOTVS : a global collection of permanent vegetation plots. Journal of Vegetation Science, 33(2), e13115. https://doi.org/10.1111/jvs.13115
Sperandii, M.G. et al. (2022) ‘LOTVS : a global collection of permanent vegetation plots’, Journal of Vegetation Science, 33(2), p. e13115. Available at: https://doi.org/10.1111/jvs.13115.
M. G. Sperandii et al., “LOTVS : a global collection of permanent vegetation plots,” Journal of Vegetation Science, vol. 33, no. 2, p. e13115, Mar. 2022, doi: 10.1111/jvs.13115.
SPERANDII, Marta Gaia, 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‐GONZÁLEZ, 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 und Jan LEPŠ, 2022. LOTVS : a global collection of permanent vegetation plots. Journal of Vegetation Science. 7 März 2022. Bd. 33, Nr. 2, S. e13115. DOI 10.1111/jvs.13115
Sperandii, Marta Gaia, Francesco de Bello, Enrique Valencia, Lars Götzenberger, Manuele Bazzichetto, Thomas Galland, Anna E‐Vojtkó, et al. 2022. “LOTVS : A Global Collection of Permanent Vegetation Plots.” Journal of Vegetation Science 33 (2): e13115. https://doi.org/10.1111/jvs.13115.
Sperandii, Marta Gaia, et al. “LOTVS : A Global Collection of Permanent Vegetation Plots.” Journal of Vegetation Science, vol. 33, no. 2, Mar. 2022, p. e13115, https://doi.org/10.1111/jvs.13115.
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