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. 2019 Jul 19;19:28. doi: 10.1186/s12898-019-0243-y

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© The Author(s) 2019

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Fig. 3 — Variable importance measure (mean decrease accuracy) from random forest classification used for predicting the start of the explosive breeding events. Variables with higher values were more important for the classification. A total of 48 environmental variables were evaluated based on the combination of eight measurements and six derived variables. The variables measured were: photoperiod (phper), atmospheric pressure (atm), atmospheric pressure variance (atm var), rainfall (rain), solar radiation (solrad), relative humidity (rh), temperature (temp) and temperature variance (temp var). The derived variables were based on their delay (Δ) and persistence (μ) along the time (0, 24, 48 and 72 h)