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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10618 - Ecology
Result continuities
Project
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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