Cartogramming uncertainty in species distribution models: A Bayesian approach
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F19%3A79745" target="_blank" >RIV/60460709:41330/19:79745 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S1476945X18301132?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1476945X18301132?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ecocom.2019.04.002" target="_blank" >10.1016/j.ecocom.2019.04.002</a>
Alternative languages
Result language
angličtina
Original language name
Cartogramming uncertainty in species distribution models: A Bayesian approach
Original language description
Predicting the geographical distribution of a species is a central topic in ecology, conservation and management of natural resources especially for invasive organisms. Invasive species can modify the structure and function of invaded ecosystems, altering their biodiversity, and causing significant economic losses locally and globally. Therefore, measuring and visualizing the uncertainty inherent in species potential distributions is fundamental for effective biodiversity monitoring and planning conservation interventions. This paper discusses a new Bayesian approach to mapping this uncertainty using cartograms, previously published knowledge, and presence absence data.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10511 - Environmental sciences (social aspects to be 5.7)
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Ecological Complexity
ISSN
1476-945X
e-ISSN
1476-9840
Volume of the periodical
2019
Issue of the periodical within the volume
38
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
10
Pages from-to
146-155
UT code for WoS article
000487000500012
EID of the result in the Scopus database
2-s2.0-85065651131