LOTVS: a global collection of permanent vegetation plots

LOTVS: a global collection of permanent vegetation plots
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LOTVS:全球永久植被地块集合

DOI:
10.1111/jvs.13115
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发表时间:
2022
影响因子:
2.8
通讯作者:
Buckley, Hannah
Buckley, Hannah
中科院分区:
环境科学与生态学3区
文献类型:
--
作者:
Sperandii, Marta Gaia;de Bello, Francesco;Valencia, Enrique;Götzenberger, Lars;Bazzichetto, Manuele;Galland, Thomas;E‐Vojtkó, Anna;Conti, Luisa;Adler, Peter B.;Buckley, Hannah

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分析植物群落的时间模式对于量化生态变化的程度和后果至关重要,特别是考虑到当前的生物多样性危机。通过对永久性地块定期采样收集的长期数据是研究生态演替、分析群落随时间变化的稳定性和了解驱动植被变化的机制的最准确资源。我们在此提出长期植被采样(LOTVS)倡议,这是一个全球性的植被时间序列收集,来自对永久地块中植物物种的定期监测。来自五大洲的79个数据集和7,789个植被时间序列至少监测了6年,大部分是每年一次,LOTVS可能代表了来自永久地块的时间细粒度植被时间序列的最大集合,并可供研究界访问。因此,它具有支持植被科学,植物生态学和时间生态学领域创新研究的巨大潜力。
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.
巴拿马巴罗科罗拉多岛森林动态图β多样性的时空分析
DOI: 10.1186/s40663-019-0164-4
发表时间: 2019
期刊: Forest Ecosystems
影响因子: 4.1
作者:
P. Legendre;R. Condit
通讯作者: R. Condit
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DOI: --
发表时间: 2018
影响因子: 2.8
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通讯作者: L. Baeten
DOI: --
发表时间: 1999-09
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作者:
最首 太郎
通讯作者: 最首 太郎
DOI: 10.1111/brv.12499
发表时间: 2019-08-01
期刊: BIOLOGICAL REVIEWS
影响因子: 10
作者:
van der Plas, Fons
通讯作者: van der Plas, Fons
DOI: 10.1002/joc.5086
发表时间: 2017-10-01
期刊: INTERNATIONAL JOURNAL OF CLIMATOLOGY
影响因子: --
作者:
Fick, Stephen E.;Hijmans, Robert J.
通讯作者: Hijmans, Robert J.