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A spatially-explicit model of alien plant richness in Tenerife (Canary Islands)

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F19%3A79753" target="_blank" >RIV/60460709:41330/19:79753 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S1476945X18301107?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1476945X18301107?via%3Dihub</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.ecocom.2019.03.002" target="_blank" >10.1016/j.ecocom.2019.03.002</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A spatially-explicit model of alien plant richness in Tenerife (Canary Islands)

  • Original language description

    Biological invasions are one of the major threats to biodiversity, especially in oceanic islands. In the Canary Islands, the relationships between plant Alien Species Richness (ASR) and their environmental and anthropogenic determinants were thoroughly investigated using ecological models. However, previous predictive models rarely accounted for spatial autocorrelation (SAC) and uncertainty of predictions, thus missing crucial information related to model accuracy and predictions reliability. In this study, we propose a Generalized Linear Spatial Model (GLSM) for ASR under a Bayesian framework on Tenerife Island. Our aim is to test whether the inclusion of SAC into the modelling framework could improve model performance resulting in more reliable predictions. Results demonstrated as accounting for SAC dramatically reduced the models AIC (Delta AIC = 4423) and error magnitudes, showing also better performances in terms of goodness of fit. Calculation of uncertainty related to predicted values pointed

  • 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

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2019

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Ecological Complexity

  • ISSN

    1476-945X

  • e-ISSN

    1476-9840

  • Volume of the periodical

    2019

  • Issue of the periodical within the volume

    38

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    8

  • Pages from-to

    75-82

  • UT code for WoS article

    000487000500007

  • EID of the result in the Scopus database

    2-s2.0-85064191377