Did we measure enough environmental variables? Insights from multiscale spatial analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F13%3A00066716" target="_blank" >RIV/00216224:14310/13:00066716 - isvavai.cz</a>
Result on the web
<a href="http://escholarship.org/uc%C3%BAfb" target="_blank" >http://escholarship.org/uc%C3%BAfb</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Did we measure enough environmental variables? Insights from multiscale spatial analysis
Original language description
Variation partitioning of species composition into components explained by environmental and spatial variables is often used to identify a signature of niche- and dispersal-based processes in community assembly. Such interpretation, however, strongly depends on the quality of available environmental data. Spatially structured variation not explained by environment (component [c]), which is believed to carry legacy of dispersal-based processes, contains unknown proportion of variation attributable to unmeasured environmental variables. We can never measure everything, but it is useful to know if we measured really too less or we are getting close to perfect. To evaluate this, we used multiscale spatial analysis of component [c], based on PCNM analysis.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
EH - Ecology - communities
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GAP505%2F12%2F1022" target="_blank" >GAP505/12/1022: Beta diversity of plant communities along constrained environmental gradients</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů