Species distribution models and their application in orchid biodiversity research
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F19%3A00584597" target="_blank" >RIV/86652079:_____/19:00584597 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Species distribution models and their application in orchid biodiversity research
Popis výsledku v původním jazyce
Species distribution models (SDMs) are numerical tools that combine observations of species occurrence or abundance with environmental estimates. They are used to gain ecological and evolutionary insights, predict distributions across landscapes and sometimes are extrapolated in space and time. SDMs are now widely used in terrestrial, freshwater, and marine ecological studes. Differences in methos among disciplines reflect both differences in species mobility and in ´established use´. Model realism and robustness are influenced by selection of relevant predictors (climatic variables, geological substrate, slope and orientation, etc.), by modeling method (usually MaxEnt program, but other models are also used), spatial scale considered (region, country, continent), and the extent of extrapolation (i.e., how far we extrapolate from the sites where the data we colllected). Biologically speaking, SDMs enable the prediction of the occurrence of a species based on a set of GPS coordinates of known sites and a set of biotic and abiotic characteristics of these sites.
Název v anglickém jazyce
Species distribution models and their application in orchid biodiversity research
Popis výsledku anglicky
Species distribution models (SDMs) are numerical tools that combine observations of species occurrence or abundance with environmental estimates. They are used to gain ecological and evolutionary insights, predict distributions across landscapes and sometimes are extrapolated in space and time. SDMs are now widely used in terrestrial, freshwater, and marine ecological studes. Differences in methos among disciplines reflect both differences in species mobility and in ´established use´. Model realism and robustness are influenced by selection of relevant predictors (climatic variables, geological substrate, slope and orientation, etc.), by modeling method (usually MaxEnt program, but other models are also used), spatial scale considered (region, country, continent), and the extent of extrapolation (i.e., how far we extrapolate from the sites where the data we colllected). Biologically speaking, SDMs enable the prediction of the occurrence of a species based on a set of GPS coordinates of known sites and a set of biotic and abiotic characteristics of these sites.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
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OECD FORD obor
10611 - Plant sciences, botany
Návaznosti výsledku
Projekt
<a href="/cs/project/GB14-36098G" target="_blank" >GB14-36098G: Centrum pro tropickou biologii</a><br>
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2019
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Proceedings of the 22nd WORLD ORCHID
ISBN
9789942876508
ISSN
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e-ISSN
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Počet stran výsledku
8
Strana od-do
13-20
Název nakladatele
Asociación Ecuatoriana de Orquideología
Místo vydání
Ekvádor
Místo konání akce
Guayaquil
Datum konání akce
8. 11. 2017
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
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