Machine learning techniques to characterize functional traits of plankton from image data
Plankton imaging systems supported by automated classification and analysis have
improved ecologists' ability to observe aquatic ecosystems. Today, we are on the cusp of …
improved ecologists' ability to observe aquatic ecosystems. Today, we are on the cusp of …
Reynolds Functional Groups: a trait-based pathway from patterns to predictions
Abstract Reynolds Functional Groups (RFG) were designed to represent the diversity of
phytoplankton assemblages of freshwater ecosystems and are among the most enduring …
phytoplankton assemblages of freshwater ecosystems and are among the most enduring …
Pollen analysis using multispectral imaging flow cytometry and deep learning
Pollen identification and quantification are crucial but challenging tasks in addressing a
variety of evolutionary and ecological questions (pollination, paleobotany), but also for other …
variety of evolutionary and ecological questions (pollination, paleobotany), but also for other …
Predicting effects of multiple interacting global change drivers across trophic levels
Global change encompasses many co‐occurring anthropogenic drivers, which can act
synergistically or antagonistically on ecological systems. Predicting how different global …
synergistically or antagonistically on ecological systems. Predicting how different global …
Resolving the consequences of gradual phenotypic plasticity for populations in variable environments
Phenotypic adjustments following environmental change are ubiquitous, and trait changes
arising through phenotypic plasticity often lag behind their environmental stimuli …
arising through phenotypic plasticity often lag behind their environmental stimuli …
Novel cyanotoxin-producing Synechococcus in tropical lakes
Picocyanobacteria are small cyanobacteria, being about 0.8–1.5 µm in size. They are
present in freshwater environments all over the world and are known to cause harmful algal …
present in freshwater environments all over the world and are known to cause harmful algal …
Beyond nitrogen: phosphorus–estimating the minimum niche dimensionality for resource competition between phytoplankton
The niche dimensionality required for coexistence is often discussed in terms of the number
of limiting resources. N and P limitation are benchmarks for studying phytoplankton …
of limiting resources. N and P limitation are benchmarks for studying phytoplankton …
Direct and indirect cumulative effects of temperature, nutrients, and light on phytoplankton growth
AL Heinrichs, OJ Hardorp, H Hillebrand… - Ecology and …, 2024 - Wiley Online Library
Temperature and resource availability are pivotal factors influencing phytoplankton
community structures. Numerous prior studies demonstrated their significant influence on …
community structures. Numerous prior studies demonstrated their significant influence on …
Duration, but not bottle volume, affects phytoplankton community structure and growth rates in microcosm experiments
It is generally assumed that the larger the bottle volume, the longer the duration of
phytoplankton microcosm experiments. We hypothesize that volume and duration are …
phytoplankton microcosm experiments. We hypothesize that volume and duration are …
The potential of multispectral imaging flow cytometry for environmental monitoring
Environmental monitoring involves the quantification of microscopic cells and particles such
as algae, plant cells, pollen, or fungal spores. Traditional methods using conventional …
as algae, plant cells, pollen, or fungal spores. Traditional methods using conventional …