Predicting the effects of winter water warming in artificial lakes on zooplankton and its environment using combined machine learning models

• Published in: Scientific reports Vol. 12; no. 1; pp. 16145 - 14
• Main Authors: Kruk, Marek, Goździejewska, Anna Maria, Artiemjew, Piotr
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 27.09.2022; Nature Publishing Group; Nature Portfolio
• Subjects: 631/158; 631/158/1144; 631/158/2165; 631/158/2459; 631/158/670; 631/158/853; 704/106; 704/106/694; 704/158; 704/158/1144; 704/158/2165; 704/158/2459; 704/158/670; 704/158/853; Animals; Aquatic ecosystems; Artificial lakes; Biomass; Chlorophyll; Chlorophyll A; Climate change; Ecosystem; Environmental changes; Global warming; Humanities and Social Sciences; Lakes; Learning algorithms; Machine Learning; Minocycline; multidisciplinary; Nitrogen; Rotifera; Rotifera - physiology; Science; Science (multidisciplinary); Suspended solids; Taxa; Water; Water temperature; Winter; Zooplankton; Zooplankton - physiology

This work deals with the consequences of climate warming on aquatic ecosystems. The study determined the effects of increased water temperatures in artificial lakes during winter on predicting changes in the biomass of zooplankton taxa and their environment. We applied an innovative approach to inve...