Which breeding bird categories should we use in models of species distribution?
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F17%3A71799" target="_blank" >RIV/60460709:41330/17:71799 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.ecolind.2016.11.006" target="_blank" >http://dx.doi.org/10.1016/j.ecolind.2016.11.006</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ecolind.2016.11.006" target="_blank" >10.1016/j.ecolind.2016.11.006</a>
Alternative languages
Result language
angličtina
Original language name
Which breeding bird categories should we use in models of species distribution?
Original language description
Studies often use breeding bird atlases to assess species habitat requirements or to estimate species potential distribution under environmental changes. In breeding bird atlases, one of the attributes recorded for each grid square is evidence of breeding. The attribute represent probability of breeding (confirmed, probable, possible) categorized according to breeding behaviour. However, the majority of studies often make arbitrary decisions on which category to use. This may have severe consequences for results. This study evaluated whether models discrimination ability change by inclusion of ambiguous breeding categories (probable, possible). We compared models predictions for distribution of nine wetland birds derived from Atlas of the breeding distribution of birds in the Czech Republic. For each species, we developed generalized linear models using combinations of the breeding categories as input to model calibration and validation. Our results show that the discrimination ability (AUC)
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10615 - Ornithology
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
ECOLOGICAL INDICATORS
ISSN
1470-160X
e-ISSN
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Volume of the periodical
2017
Issue of the periodical within the volume
74
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
4
Pages from-to
526-529
UT code for WoS article
000398334500047
EID of the result in the Scopus database
2-s2.0-85006516053