首页|Researcher at University of Valladolid Publishes Research in Machine Learning (R econstructing 450 Years of Pollarding Events in Spanish Deciduous Oak Woodlands Using Machine Learning)
Researcher at University of Valladolid Publishes Research in Machine Learning (R econstructing 450 Years of Pollarding Events in Spanish Deciduous Oak Woodlands Using Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on artificial in telligence have been published. According tonews originating from the Universit y of Valladolid by NewsRx editors, the research stated, “Pollarding,the practic e of pruning tree branches at a specific height, has been crucial for managing o pen forests inEurope.”The news reporters obtained a quote from the research from University of Vallado lid: “This practicehas supported the persistence of highly biodiverse open wood lands featuring ancient trees. Understandinghistorical management patterns is e ssential for interpreting past socioeconomic conditions and developingstrategie s to mimic traditional practices for biodiversity conservation. Current methods for reconstructingpast management in pollarded forests often rely on techniques for large-scale forest disturbances, whichmay be suboptimal for detecting shor t-term perturbations like pollarding. To address this gap, we applieda random f orest algorithm to detect pollarding events using tree-ring traits, reconstructi ng the multicentennialmanagement history of four deciduous oak dehesas in nort hern Spain. Our analysis revealedthat short-term changes in latewood were the m ost reliable indicator of pollarding events. Pollardingtypically reduced latewo od production for about three years, with the most pronounced declines occurringtoward the end of the pollarding effect period.”
University of ValladolidCyborgsEmerg ing TechnologiesMachine Learning
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