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Description
  • 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.
  • 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. (en)
Title
  • Effects of the training dataset characteristics on the performance of nine species distribution models: application to Diabrotica virgifera virgifera
  • Effects of the training dataset characteristics on the performance of nine species distribution models: application to Diabrotica virgifera virgifera (en)
skos:prefLabel
  • Effects of the training dataset characteristics on the performance of nine species distribution models: application to Diabrotica virgifera virgifera
  • Effects of the training dataset characteristics on the performance of nine species distribution models: application to Diabrotica virgifera virgifera (en)
skos:notation
  • RIV/67985939:_____/11:00365160!RIV12-AV0-67985939
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA206/09/0563), P(LC06073), Z(AV0Z60050516), Z(MSM0021620828)
http://linked.open...iv/cisloPeriodika
  • 6:e230957
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 196688
http://linked.open...ai/riv/idVysledku
  • RIV/67985939:_____/11:00365160
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • geographical distribution; biological invasions; envelope models (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • US - Spojené státy americké
http://linked.open...ontrolniKodProRIV
  • [5507330F4B5B]
http://linked.open...i/riv/nazevZdroje
  • PLoS ONE
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 6
http://linked.open...iv/tvurceVysledku
  • Jarošík, Vojtěch
  • Pergl, Jan
  • Baker, R.
  • Brunel, S.
  • Dupin, A.
  • Eyre, D.
  • Makowski, D.
  • Reynaud, P.
http://linked.open...ain/vavai/riv/wos
  • 000291983800015
http://linked.open...n/vavai/riv/zamer
issn
  • 1932-6203
number of pages
http://bibframe.org/vocab/doi
  • 10.1371/journal.pone.0020957
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