Application of species distribution models on orchid data from Colombia
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F19%3A00584596" target="_blank" >RIV/86652079:_____/19:00584596 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Application of species distribution models on orchid data from Colombia
Original language description
Species distribution models are a useful tool, which is now often applied in many branches of biology, especially when dealing with threatened organisms. In combination with GIS techniques, these models are especially important and valuable for predicting occurrence of rare species in poorly explored areas. The species distribution models (SDMs) are often the only method to measure orchid biodiversity in these regions. Here we show an axample of using SDMs for analysis of orchid species occurrence data from Colombia. When choosing the experimental plots, we attempted to cover the majority of elevation gradients where orchids are present, apart from the above-mentioned accessibility.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10611 - Plant sciences, botany
Result continuities
Project
<a href="/en/project/GB14-36098G" target="_blank" >GB14-36098G: Center for tropical biology</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 22nd WORLD ORCHID
ISBN
9789942876508
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
21-31
Publisher name
Asociación Ecuatoriana de Orquideología
Place of publication
Ekvádor
Event location
Guayaquil
Event date
Nov 8, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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