Quo Vadis, Orthotrichum pulchellum? A Journey of Epiphytic Moss across the European Continent
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00100595%3A_____%2F22%3AN0000036" target="_blank" >RIV/00100595:_____/22:N0000036 - isvavai.cz</a>
Alternative codes found
RIV/61988987:17310/22:A2302I0L
Result on the web
<a href="https://www.mdpi.com/2223-7747/11/20/2669" target="_blank" >https://www.mdpi.com/2223-7747/11/20/2669</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/plants11202669" target="_blank" >10.3390/plants11202669</a>
Alternative languages
Result language
angličtina
Original language name
Quo Vadis, Orthotrichum pulchellum? A Journey of Epiphytic Moss across the European Continent
Original language description
Orthotrichum pulchellum is a species of epiphytic moss in which a significant expansion from the oceanic part of Europe to the east of the continent has been observed in the recent two decades. The improvement in air quality in Central and Eastern Europe, but also climate change, probably plays a role in this. This study shows what direction of its spreading we can expect in the future. Ecological niche modeling (ENM) is a widespread method to find out species niches in environmental and geographical space, which allows us to highlight areas that have a higher probability of occurrences of the studied species, based on identifying similar environmental conditions to those already known. We also made predictions for different future scenarios (CMIP5 climatology datasets for the years 2041–2060). Because we were not able to distinguish between historical and newly settled areas, and so, had to use some of the traditional approaches when modeling invasive species, we proposed to use niche clusters based on environmental layers to split the data of all known occurrences and make models separately for each cluster. This approach seems reasonable from the ecological species point of view because using all the morphologically same samples could be misleading. Altogether, 2712 samples were used from three separate niche clusters. For building the models, the Maxent algorithm was used as a well-tested, well-accepted, and commonly used method.
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
10611 - Plant sciences, botany
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Plants
ISSN
2223-7747
e-ISSN
2223-7747
Volume of the periodical
11
Issue of the periodical within the volume
20
Country of publishing house
CH - SWITZERLAND
Number of pages
13
Pages from-to
1-13
UT code for WoS article
000873702500001
EID of the result in the Scopus database
2-s2.0-85140898682