The complex effect of heterogeneity and isolation in determining alpha and beta orchid diversity on islands in the Aegean archipelago
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F20%3A00524617" target="_blank" >RIV/86652079:_____/20:00524617 - isvavai.cz</a>
Result on the web
<a href="https://www.tandfonline.com/doi/full/10.1080/14772000.2020.1738584?scroll=top&needAccess=true" target="_blank" >https://www.tandfonline.com/doi/full/10.1080/14772000.2020.1738584?scroll=top&needAccess=true</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1080/14772000.2020.1738584" target="_blank" >10.1080/14772000.2020.1738584</a>
Alternative languages
Result language
angličtina
Original language name
The complex effect of heterogeneity and isolation in determining alpha and beta orchid diversity on islands in the Aegean archipelago
Original language description
Knowledge of factors determining the distribution of plants on islands is of crucial importance in island biogeography. Here the drivers and mechanisms that best explain alpha- and beta-diversity of orchids in the Aegean Archipelago were explored. The analyses were based on (a) matrix of the total number of orchid taxa recorded on each island, and (b) matrix containing the number of grid cells of each island in which each orchid has been recorded. Based on these matrices, generalized linear models (GLMs) were then used to determine the most important factors (geographical, climatic, geological) associated with orchid richness. Generalized dissimilarity modelling (GDM) was used to explore whether there are specific patterns in beta-diversity and to evaluate contributions to individual factors to these patterns. To investigate the similarity of the Aegean islands in terms of their orchid flora, a beta-diversity abundance matrix was analyzed using non-metric multidimensional scaling ordination method. GLM analysis revealed that maximum elevation, index of bioclimatic breadth (IBB), neighbour index (NI), island area, and the percentage of granite, limestone and quartz at each island were the best predictors of orchid alpha-diversity. Maximum elevation, habitat heterogeneity, IBB and island area were positively associated with alpha-diversity, whereas neighbour index and the percentage of granite, limestone and quartz at each island were negatively associated. Maximum elevation, NI, habitat heterogeneity and geographical distance were the best predictors of orchid turnover across the Aegean islands, whereas IBB, granite and limestone were less important. The NMDS ordination revealed that islands are structured from the southernmost to the northernmost, in a way that in general conforms to the phytogeographical division of the Aegean Archipelago. The drivers that account for the patterns in alpha- and beta-diversity were associated with differences in the degrees of isolation and heterogeneity (climatic and habitat) of the islands. Among the predictors, elevation and IBB proved to be better surrogates of habitat heterogeneity than island area.
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
10619 - Biodiversity conservation
Result continuities
Project
<a href="/en/project/LO1415" target="_blank" >LO1415: CzechGlobe 2020 – Development of the Centre of Global Climate Change Impacts Studies</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Systematics and Biodiversity
ISSN
1477-2000
e-ISSN
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Volume of the periodical
18
Issue of the periodical within the volume
3
Country of publishing house
GB - UNITED KINGDOM
Number of pages
14
Pages from-to
281-294
UT code for WoS article
000532611900007
EID of the result in the Scopus database
2-s2.0-85083588309