| SPERANDII, M.G., F. DE BELLO, E. VALENCIA, L. GÖTZENBERGER, M. BAZZICHETTO, T. GALLAND, A. E‐VOJTKÓ, L. CONTI, P.B. ADLER, H. BUCKLEY, Jiří DANIHELKA, N.J. DAY, J. DENGLER, D.J. ELDRIDGE, M. ESTIARTE, R. GARCÍA‐GONZÁLEZ, E. GARNIER, D. GÓMEZ‐GARCÍA, L. HALLETT, S. HARRISON, T. HERBEN, R. IBÁÑEZ, A. JENTSCH, N. JUERGENS, M. KERTÉSZ, D.M. KIMUYU, K. KLUMPP, M. LE DUC, F. LOUAULT, R.H. MARRS, G. ÓNODI, R.J. PAKEMAN, M. PÄRTEL, B. PECO, J. PEÑUELAS, M. RUEDA, W. SCHMIDT, U. SCHMIEDEL, M. SCHUETZ, H. SKALOVA, P. ŠMILAUER, M. ŠMILAUEROVÁ, C. SMIT, M.-H. SONG, M. STOCK, J. VAL, V. VANDVIK, K. WESCHE, S.K. WISER, B.A. WOODCOCK, T.P. YOUNG, F.-H. YU, A.A. WOLF, M. ZOBEL a J. LEPŠ. LOTVS : a global collection of permanent vegetation plots. Journal of Vegetation Science. Wiley, 2022, roč. 33, č. 2, s. "e13115", 11 s. ISSN 1100-9233. Dostupné z: https://dx.doi.org/10.1111/jvs.13115. |
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@article{1852138,
author = {Sperandii, M.G. and de Bello, F. and Valencia, E. and Götzenberger, L. and Bazzichetto, M. and Galland, T. and E‐Vojtkó, A. and Conti, L. and Adler, P.B. and Buckley, H. and Danihelka, Jiří and Day, N.J. and Dengler, J. and Eldridge, D.J. and Estiarte, M. and García‐González, R. and Garnier, E. and Gómez‐García, D. and Hallett, L. and Harrison, S. and Herben, T. and Ibáñez, R. and Jentsch, A. and Juergens, N. and Kertész, M. and Kimuyu, D.M. and Klumpp, K. and Le Duc, M. and Louault, F. and Marrs, R.H. and Ónodi, G. and Pakeman, R.J. and Pärtel, M. and Peco, B. and Peñuelas, J. and Rueda, M. and Schmidt, W. and Schmiedel, U. and Schuetz, M. and Skalova, H. and Šmilauer, P. and Šmilauerová, M. and Smit, C. and Song, M.andH. and Stock, M. and Val, J. and Vandvik, V. and Wesche, K. and Wiser, S.K. and Woodcock, B.A. and Young, T.P. and Yu, F.andH. and Wolf, A.A. and Zobel, M. and Lepš, J.},
article_number = {2},
doi = {http://dx.doi.org/10.1111/jvs.13115},
keywords = {Ecoinformatics; Ecological succession; Ecosystem stability; Global scale; Permanent plot; Plant community; Plant diversity; Temporal analysis; Time-series; Vegetation},
language = {eng},
issn = {1100-9233},
journal = {Journal of Vegetation Science},
title = {LOTVS : a global collection of permanent vegetation plots},
url = {https://doi.org/10.1111/jvs.13115},
volume = {33},
year = {2022}
}
TY - JOUR
ID - 1852138
AU - 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, Jiří - Day, N.J. - Dengler, J. - Eldridge, D.J. - Estiarte, M. - García‐González, R. - Garnier, E. - Gómez‐García, D. - Hallett, L. - Harrison, S. - Herben, T. - Ibáñez, R. - Jentsch, A. - Juergens, N. - Kertész, M. - Kimuyu, D.M. - Klumpp, K. - Le Duc, M. - Louault, F. - Marrs, R.H. - Ónodi, G. - Pakeman, R.J. - Pärtel, M. - Peco, B. - Peñuelas, J. - Rueda, M. - Schmidt, W. - Schmiedel, U. - Schuetz, M. - Skalova, H. - Šmilauer, P. - Šmilauerová, M. - Smit, C. - Song, M.-H. - Stock, M. - Val, J. - Vandvik, V. - Wesche, K. - Wiser, S.K. - Woodcock, B.A. - Young, T.P. - Yu, F.-H. - Wolf, A.A. - Zobel, M. - Lepš, J.
PY - 2022
TI - LOTVS : a global collection of permanent vegetation plots
JF - Journal of Vegetation Science
VL - 33
IS - 2
SP - "e13115"
EP - "e13115"
PB - Wiley
SN - 11009233
KW - Ecoinformatics
KW - Ecological succession
KW - Ecosystem stability
KW - Global scale
KW - Permanent plot
KW - Plant community
KW - Plant diversity
KW - Temporal analysis
KW - Time-series
KW - Vegetation
UR - https://doi.org/10.1111/jvs.13115
N2 - 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.
ER -
SPERANDII, M.G., F. DE BELLO, E. VALENCIA, L. GÖTZENBERGER, M. BAZZICHETTO, T. GALLAND, A. E‐VOJTKÓ, L. CONTI, P.B. ADLER, H. BUCKLEY, Jiří DANIHELKA, N.J. DAY, J. DENGLER, D.J. ELDRIDGE, M. ESTIARTE, R. GARCÍA‐GONZÁLEZ, E. GARNIER, D. GÓMEZ‐GARCÍA, L. HALLETT, S. HARRISON, T. HERBEN, R. IBÁÑEZ, A. JENTSCH, N. JUERGENS, M. KERTÉSZ, D.M. KIMUYU, K. KLUMPP, M. LE DUC, F. LOUAULT, R.H. MARRS, G. ÓNODI, R.J. PAKEMAN, M. PÄRTEL, B. PECO, J. PEÑUELAS, M. RUEDA, W. SCHMIDT, U. SCHMIEDEL, M. SCHUETZ, H. SKALOVA, P. ŠMILAUER, M. ŠMILAUEROVÁ, C. SMIT, M.-H. SONG, M. STOCK, J. VAL, V. VANDVIK, K. WESCHE, S.K. WISER, B.A. WOODCOCK, T.P. YOUNG, F.-H. YU, A.A. WOLF, M. ZOBEL a J. LEPŠ. LOTVS : a global collection of permanent vegetation plots. \textit{Journal of Vegetation Science}. Wiley, 2022, roč.~33, č.~2, s.~''e13115'', 11 s. ISSN~1100-9233. Dostupné z: https://dx.doi.org/10.1111/jvs.13115.
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