Plant Species Distributions and Ecological Complexity: Mapping Sampling-Effort Bias Explicitly
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F21%3A87009" target="_blank" >RIV/60460709:41330/21:87009 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-030-74950-7_2" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-74950-7_2</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-74950-7_2" target="_blank" >10.1007/978-3-030-74950-7_2</a>
Alternative languages
Result language
angličtina
Original language name
Plant Species Distributions and Ecological Complexity: Mapping Sampling-Effort Bias Explicitly
Original language description
In geobotany, mapping plant species distributions properly is crucial to guarantee a proper estimate of their dispersal variability in space and time, also considering habitat suitability. In most cases, uncertainty in the modelling procedures has been disregarded. However, hidden uncertainty or bias may hamper robust estimates of the distribution of plant species or species assemblages. In this paper, we propose an approach to mapping uncertainty properly, mainly deriving from sampling effort bias, when mapping plant species distributions.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
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OECD FORD branch
10616 - Entomology
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Tools for Landscape-Scale Geobotany and Conservation
ISBN
978-3-030-74949-1
Number of pages of the result
6
Pages from-to
15-20
Number of pages of the book
6
Publisher name
Springer, Cham
Place of publication
Switzerland
UT code for WoS chapter
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