СИСТЕМА ДЛЯ ПРОГНОЗА ЧИСЛЕННОСТИ ЛАСКИ (MUSTELA NIVALIS)
Based on long-term (1994-2010) data of the bank vole and its specialized predator – the least weasel abundance in Middle Urals dark-coniferous southern taiga, we elaborated a mathematical model (artificial neuron network) to predict the least weasel abundance. Despite of the some loss of regularity...
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Государственное научное учреждение Всероссийский научно-исследовательский институт охотничьего хозяйства и звероводства им. Б.М. Житкова Российской академии сельскохозяйственных наук
2012
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| Online Access: | http://cyberleninka.ru/article/n/sistema-dlya-prognoza-chislennosti-laski-mustela-nivalis http://cyberleninka.ru/article_covers/15541111.png |
| Summary: | Based on long-term (1994-2010) data of the bank vole and its specialized predator – the least weasel abundance in Middle Urals dark-coniferous southern taiga, we elaborated a mathematical model (artificial neuron network) to predict the least weasel abundance. Despite of the some loss of regularity in predator and prey dynamics, we got a perfect agreement of our predictions and observations. Our model could be used for sufficiently accurate forecast of least weasel abundance at least by 0.5-1 years ahead. |
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