File:Model-Derived-Dispersal-Pathways-from-Multiple-Source-Populations-Explain-Variability-of-pone.0035794.s002.ogv

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Model-Derived-Dispersal-Pathways-from-Multiple-Source-Populations-Explain-Variability-of-pone.0035794.s002.ogv (Ogg multiplexed audio/video file, Theora/Vorbis, length 1 min 10 s, 440 × 364 pixels, 118 kbps overall, file size: 999 KB)

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English: Time evolution of larval trajectories for the complete larval series (first zoea to megalopa) for the Invasion experiment with normal growth rate without mortality in 2007. Left panel: trajectories of the larvae that never recruited to the Ria de Aveiro, right panel: trajectories of the larvae that recruited to the Ria de Aveiro. Arrows close to estuaries indicate periodic hatching of larvae and moving arrows represent direction and intensity of the wind. Larvae are colour-coded according to natal estuary and become grey at moult to megalopae. Red, blue and green flashing circles indicate recruitment events in the observations and the model, in the observations only, and in the model only, respectively. Recruitment events are defined as when daily observed and predicted supply of megalopae exceeded average levels for at least 3 consecutive days.
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Source Video S2 from Domingues C, Nolasco R, Dubert J, Queiroga H (2012). "Model-Derived Dispersal Pathways from Multiple Source Populations Explain Variability of Invertebrate Larval Supply". PLOS ONE. DOI:10.1371/journal.pone.0035794. PMID 22558225. PMC: 3338459.
Author Domingues C, Nolasco R, Dubert J, Queiroga H
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Date/TimeThumbnailDimensionsUserComment
current16:19, 19 November 20121 min 10 s, 440 × 364 (999 KB)Open Access Media Importer Bot (talk | contribs)Automatically uploaded media file from Open Access source. Please report problems or suggestions here.

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Format Bitrate Download Status Encode time
VP9 360P 66 kbps Completed 15:11, 3 September 2018 8.0 s
VP9 240P 34 kbps Completed 15:10, 3 September 2018 4.0 s
WebM 360P 185 kbps Completed 18:17, 19 November 2012 6.0 s
QuickTime 144p (MJPEG) 311 kbps Completed 08:48, 17 November 2024 1.0 s

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