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sPlotOpen - An environmentally balanced, open-access, global dataset of vegetation plots

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F21%3A00119258" target="_blank" >RIV/00216224:14310/21:00119258 - isvavai.cz</a>

  • Alternative codes found

    RIV/67985939:_____/21:00549534 RIV/60460709:41320/21:89471

  • Result on the web

    <a href="https://doi.org/10.1111/geb.13346" target="_blank" >https://doi.org/10.1111/geb.13346</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1111/geb.13346" target="_blank" >10.1111/geb.13346</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    sPlotOpen - An environmentally balanced, open-access, global dataset of vegetation plots

  • Original language description

    Motivation Assessing biodiversity status and trends in plant communities is critical for understanding, quantifying and predicting the effects of global change on ecosystems. Vegetation plots record the occurrence or abundance of all plant species co-occurring within delimited local areas. This allows species absences to be inferred, information seldom provided by existing global plant datasets. Although many vegetation plots have been recorded, most are not available to the global research community. A recent initiative, called 'sPlot', compiled the first global vegetation plot database, and continues to grow and curate it. The sPlot database, however, is extremely unbalanced spatially and environmentally, and is not open-access. Here, we address both these issues by (a) resampling the vegetation plots using several environmental variables as sampling strata and (b) securing permission from data holders of 105 local-to-regional datasets to openly release data. We thus present sPlotOpen, the largest open-access dataset of vegetation plots ever released. sPlotOpen can be used to explore global diversity at the plant community level, as ground truth data in remote sensing applications, or as a baseline for biodiversity monitoring. Main types of variable contained Vegetation plots (n = 95,104) recording cover or abundance of naturally co-occurring vascular plant species within delimited areas. sPlotOpen contains three partially overlapping resampled datasets (c. 50,000 plots each), to be used as replicates in global analyses. Besides geographical location, date, plot size, biome, elevation, slope, aspect, vegetation type, naturalness, coverage of various vegetation layers, and source dataset, plot-level data also include community-weighted means and variances of 18 plant functional traits from the TRY Plant Trait Database. Spatial location and grain Global, 0.01-40,000 m(2). Time period and grain 1888-2015, recording dates. Major taxa and level of measurement 42,677 vascular plant taxa, plot-level records. Software format Three main matrices (.csv), relationally linked.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10618 - Ecology

Result continuities

  • Project

    <a href="/en/project/GX19-28491X" target="_blank" >GX19-28491X: Centre for European Vegetation Syntheses (CEVS)</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Global ecology and biogeography

  • ISSN

    1466-822X

  • e-ISSN

    1466-8238

  • Volume of the periodical

    30

  • Issue of the periodical within the volume

    9

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    25

  • Pages from-to

    1740-1764

  • UT code for WoS article

    000664540200001

  • EID of the result in the Scopus database

    2-s2.0-85108379972