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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