Number of the records: 1
Effects of the training dataset characteristics on the performance of nine species distribution models: application to Diabrotica virgifera virgifera
- 1.
SYSNO ASEP 0365160 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Effects of the training dataset characteristics on the performance of nine species distribution models: application to Diabrotica virgifera virgifera Author(s) Dupin, A. (FR)
Reynaud, P. (FR)
Jarošík, Vojtěch (BU-J)
Baker, R. (GB)
Brunel, S. (FR)
Eyre, D. (GB)
Pergl, Jan (BU-J) RID, ORCID
Makowski, D. (FR)Number of authors 8 Source Title PLoS ONE. - : Public Library of Science - ISSN 1932-6203
Roč. 6, 6:e230957 (2011), s. 1-11Number of pages 11 s. Language eng - English Country US - United States Keywords geographical distribution ; biological invasions ; envelope models Subject RIV EF - Botanics R&D Projects GA206/09/0563 GA ČR - Czech Science Foundation (CSF) LC06073 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) CEZ AV0Z60050516 - BU-J (2005-2011) UT WOS 000291983800015 DOI 10.1371/journal.pone.0020957 Annotation Model performance was highly sensitive to the geographical area used for calibration; most of the models performed poorly when fitted to a restricted area corresponding to an early stage of the invasion. Our results also showed that Principal Component Analysis was useful in reducing the number of model input variables for the models that performed poorly with 19 input variables. DOMAIN, Environmental Distance, MAXENT, and Envelope Score were the most accurate models but all the models tested in this study led to a substantial rate of mis-classification. Workplace Institute of Botany Contact Martina Bartošová, martina.bartosova@ibot.cas.cz, ibot@ibot.cas.cz, Tel.: 271 015 242 ; Marie Jakšová, marie.jaksova@ibot.cas.cz, Tel.: 384 721 156-8 Year of Publishing 2012
Number of the records: 1