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Want to model a species niche? A step-by-step guideline on correlative ecological niche modelling

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081766%3A_____%2F21%3A00544524" target="_blank" >RIV/68081766:_____/21:00544524 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S0304380021002301?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0304380021002301?via%3Dihub</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.ecolmodel.2021.109671" target="_blank" >10.1016/j.ecolmodel.2021.109671</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Want to model a species niche? A step-by-step guideline on correlative ecological niche modelling

  • Original language description

    The use of correlative ecological niche models has highly increased in the last decade. Despite all literature and textbooks in this field, few practical guidelines exist on the correct application of these techniques. We present here a step-by-step guideline explaining best practices for calculating correlative ecological niche models considering their conceptual and statistical assumptions and limitations. We divided the modelling process into four stages: 1) data collection and preparation, 2) model calculation, 3) model evaluation and validation, 4) and model application. Based on ecological niche theory, we review the concepts of ecological niche and how they can be modelled, classes of correlative models, modelling software, selection of study area, data sources for species records and environmental variables, types of species records and their influence on correlative models, errors in species records, minimum number of species records and environmental variables, effects of prevalence, sampling design, biases, and collinearity between variables, model calculation, model projection to different scenarios in time and space, ensemble modelling, model validation, classification, discrimination and calibration metrics, calculation of null models, analysis of model results, and model thresholding. This guideline is expected to help potential users to obtain better results when using correlative ecological niche models.

  • 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

    10618 - Ecology

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Ecological Modelling

  • ISSN

    0304-3800

  • e-ISSN

    1872-7026

  • Volume of the periodical

    456

  • Issue of the periodical within the volume

    Sep

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    19

  • Pages from-to

    109671

  • UT code for WoS article

    000685088600002

  • EID of the result in the Scopus database

    2-s2.0-85110459915