We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Main predictors of phytoplankton occurrence in lotic ecosystems
Summary
This paper is not relevant to microplastics research; it examines the environmental and landscape factors controlling phytoplankton community composition in a Brazilian micro-watershed over three years.
Abstract: Aim Our goal was to relate the phytoplankton metacommunity to its possible determinants in a micro watershed: (I) determinants related to landscape-scale filtering, (II) determinants referring to local microhabitat filtering, (III) determinants referring to previous colonization, and (IV) determinants representing three different dispersal routes. Methods Eight sampling stations were selected along the Cascavel River watershed, located in the state of Paraná, Brazil. Samples were collected quarterly for three years. All phytoplankton samples were quantitatively analyzed to determine the density of the metacommunity. In addition, it was characterized the landscape in terms of land use and occupation, and environmental characterization in terms of physical and chemical variables of the water. All data underwent relevant statistical analysis, where variance partitioning was carried out using partial RDA models, with prior selection of predictor variables, to estimate the relative role of each predictor in the community. We also compared three possible dispersal routes: “Asymmetric Eigenvector Map” (AEM), “Overland” and “Watercourse”. Results It was found that the metacommunity was best explained by “asymmetric eigenvector mapping” (AEM), indicating that because it is a small spatial scale the high connectivity between the sampling stations enables species to disperse overland as well. The different filters act together and depend on rainfall variation. Besides fluctuating temporally, the influence of these mechanisms is subject to which dispersal hypothesis is being considered. Conclusions At the watershed scale, we argue that small-scale processes should be considered, since they homogenize the landscape and consequently leave the environmental gradient similar between sampling stations. In addition, the connectivity of colonization patches is essential to understand the behavior of microalgae that have a high dispersal capacity and are not restricted only to the river course.
Sign in to start a discussion.
More Papers Like This
Comparison of the Composition and Abundance of Phytoplankton Based on Different Land Use in the Cisadane River, Tangerang Regency
This paper is not about microplastics; it surveys phytoplankton species composition and abundance in the Cisadane River, Indonesia, across sites with different land use types, linking community diversity to water quality parameters like pH and transparency.
Assessment of Water Quality Status, Nutrients, and Phytoplankton Communities in the Coastal Zone of East Aceh Regency, Indonesia
This study assessed seasonal water quality and phytoplankton communities along the East Aceh coast of Indonesia, examining nutrients and physical parameters. It is not about microplastics and is not relevant to microplastic research.
Spatial and Temporal Variations in Phytoplankton Community in Dianchi Lake Using eDNA Metabarcoding
This paper is not about microplastic pollution. It uses environmental DNA metabarcoding to study phytoplankton communities in Dianchi Lake, China, identifying seasonal and spatial variation in algal species and the environmental factors that drive those changes.
Spatial analysis of the influence on “microplastic communities” in the water at a medium scale
Spatial analysis of microplastic communities in Hubei Province, China found that microplastics were more abundant in rivers than lakes (average 1.74 items/L), negatively correlated with distance from residential areas, and that anthropogenic land cover increased abundance while natural vegetation decreased it.
Effect of Microplastics on Aquatic Food Chain and Food Web Altering Phytoplankton Community Structure
This review examines how microplastics affect phytoplankton community structure and how these effects propagate through aquatic food chains and food webs, with implications for nutrient cycling and ecosystem services.