Impact of urbanization and agriculture on zooplankton interactions: A network modelling approach in a lowland river.

Land use patterns play a critical role in shaping abiotic conditions, which in turn influence interspecies interactions within aquatic ecosystems. This study tested the hypothesis that catchment management practices significantly alter water parameters and consequently affect the dynamics, importance, and nature of relationships within the zooplankton community structure of a postglacial river (northern Poland). Zooplankton interspecies interactions were assessed using network graph modeling across four diverse catchment sections: natural (NAT), urban (URB), urban/agricultural (URB/AGR), and agricultural (AGR).

Zooplankton functional diversity as a bioindicator of freshwater ecosystem health across land use gradient.

Zooplankton are critical indicators of pressures impacting freshwater ecosystems. We analyzed the response of zooplankton communities across different sub-catchment types-headwaters, natural, urban, urban-agricultural, and agricultural-within the Łyna river-lake system in Northern Poland. Using taxonomic groups and functional traits (body size, feeding strategies), we applied Partial Least Squares Regression (PLS-R) to elucidate the relationships between environmental conditions, land use, and zooplankton metacommunity structure.

The response of zooplankton network indicators to winter water warming using shallow artificial reservoirs as model case study.

To predict the most likely scenarios, the consequences of the rise in water surface temperature have been studied using various methods. We tested the hypothesis that winter water warming significantly alters the importance and nature of the relationships in zooplankton communities in shallow reservoirs. These relationships were investigated using network graph analysis for three thermal variants: warm winters (WW), moderate winters (MW) and cold winters (CW).

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

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 investigate the effects of winter warming on zooplankton and physico-chemical factors.

Zooplankton network conditioned by turbidity gradient in small anthropogenic reservoirs.

Water turbidity can significantly influence interspecific interactions in aquatic ecosystems. We tested the hypothesis that the turbidity gradient significantly differentiates the dynamics, significance and type of relationships in the structure of zooplankton communities colonizing mine pit reservoirs. The interactions between zooplankton species were evaluated by network graph analysis for three water turbidity classes: high turbidity (HT), moderate turbidity (MT) and low turbidity (LT).

Effects of suspended micro- and nanoscale particles on zooplankton functional diversity of drainage system reservoirs at an open-pit mine.

Water from mining drainage is turbid because of suspensions. We tested the hypothesis that the chemical composition as well as shape and size of particles in suspensions of natural origin affect the density and functional diversity of zooplankton. The suspensions were analyzed with atomic force microscopy (AFM), energy dispersive X-ray spectroscopy (EDS), scanning electron microscopy (SEM), and optical microscopy.