The Eects of False Positive Errors in Species Occurrence Data on the Performance of Species Distribution Models: Case Study on the Wild Duck (Anas platyrhynchos)

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F12%3A59045" target="_blank" >RIV/60460709:41330/12:59045 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

The Eects of False Positive Errors in Species Occurrence Data on the Performance of Species Distribution Models: Case Study on the Wild Duck (Anas platyrhynchos)

Popis výsledku v původním jazyce

In ecological research, particularly in species distribution modelling (SDM), the uncertainty resulting from data deficiencies is of recent interest. Beside other things, it includes positional accuracy of species occurrence data. In our study, we investigated the in uence of the positional error, caused by false positive detection of species, in species occurrence data on the performance of the models. We used occurrences of Wild Duck (Anas platyrhynchos) mapped in fine scale resolution (300x 300 meters) and habitat variables derived from the Base map of the Czech Republic. Generalized additive models (GAM) with a stepwise selection procedure were used to select relevant habitat variables. Model performance was evaluated using area under the receiveroperating characteristics curve (AUC), sensitivity and specificity. Incorporated positional error led to a reduction in model prediction accuracy, although not enough to reject the models.

Název v anglickém jazyce

The Eects of False Positive Errors in Species Occurrence Data on the Performance of Species Distribution Models: Case Study on the Wild Duck (Anas platyrhynchos)

Popis výsledku anglicky

In ecological research, particularly in species distribution modelling (SDM), the uncertainty resulting from data deficiencies is of recent interest. Beside other things, it includes positional accuracy of species occurrence data. In our study, we investigated the in uence of the positional error, caused by false positive detection of species, in species occurrence data on the performance of the models. We used occurrences of Wild Duck (Anas platyrhynchos) mapped in fine scale resolution (300x 300 meters) and habitat variables derived from the Base map of the Czech Republic. Generalized additive models (GAM) with a stepwise selection procedure were used to select relevant habitat variables. Model performance was evaluated using area under the receiveroperating characteristics curve (AUC), sensitivity and specificity. Incorporated positional error led to a reduction in model prediction accuracy, although not enough to reject the models.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

EH - Ekologie – společenstva

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2012

Kód důvěrnosti údajů

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

Název periodika

Littera Scripta

ISSN

1802-503X

e-ISSN

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Svazek periodika

5

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

7

Strana od-do

243-249

Kód UT WoS článku

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EID výsledku v databázi Scopus

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