Related Concept Videos
Primary Production
Other Algae
Biological Clocks and Seasonal Responses
Diversity of Protists III
The Integrated Rate Law: The Dependence of Concentration on Time
Protein Dynamics in Living Cells
Fluorescent recovery after photobleaching (FRAP) is a fluorescent-protein-based detection technique used to quantify protein movement rates within the cell. This method exposes a small portion of the cell to an intense laser beam. The laser beam causes permanent photobleaching of the fluorophore-tagged proteins in the exposed region. As the bleached...
You might also read
Related Articles
Articles linked to this work by shared authors, journal, and citation graph.
Prevalence of eosinophilic esophagitis: A multicenter study on a pediatric population evaluated at thirty-six Latin American gastroenterology centers.
Early gill development in the rainbow trout, Oncorhynchus mykiss.
Concordance between Lactose Quick Test, hydrogen-methane breath test and genotyping for the diagnosis of lactose malabsorption in children.
Identification of a novel HLA-DPB1 allele, DPB1*131:01, by sequence-based typing.
Export of nitrogen from catchments: a worldwide analysis.
Serum vitamin D level and its association with vertigo frequency and severity in Meniere disease.
PFA-Net: a physics-informed feature enhancement and attention network for interpretable bearing fault diagnosis under strong noise.
Circulating inflammatory, redox, and apoptosis-related alterations in drug-naive idiopathic pulmonary fibrosis: an exploratory case-control study.
A baseline-oriented dynamic aggregation approach for demand-side heterogeneous controllable resources.
Temporal precision and accuracy in schizophrenia: an exploratory study.
Related Experiment Video
Updated: Jan 4, 2026

Author Spotlight: Unveiling Plankton Response to Climate Change Through Time-Series Data and Artistic Expression
Published on: July 28, 2023
Long-Term Phytoplankton Dynamics in a Complex Temporal Realm.
M Alvarez-Cobelas1, C Rojo2, J Benavent-Corai2
1National Museum of Natural History (CSIC), c/ Serrano 115 dpdo, Madrid, E-28006, Spain. malvarez@mncn.csic.es.
Phytoplankton biomass shows long-term decreasing trends and multi-scale periodicities. Environmental factors like nitrogen and temperature influence different phytoplankton groups across various timescales, revealing complex community dynamics.
Area of Science:
- Ecology
- Limnology
- Environmental Science
Background:
- Long-term ecological studies are crucial for understanding biotic community dynamics in changing environments.
- Phytoplankton communities are key indicators of aquatic ecosystem health and are sensitive to environmental shifts.
Purpose of the Study:
- To investigate the long-term dynamics of phytoplankton biomass and taxonomic group biomass (TGBs) in a meso-oligotrophic lake over 25 years.
- To identify the controlling factors influencing phytoplankton biomass trends and periodicities at various timescales.
- To understand how different phytoplankton groups respond to environmental drivers and contribute to overall community dynamics.
Main Methods:
- Conducted a 25-year monthly sampling study of lake phytoplankton.
- Analyzed long-term trends and multi-scale periodicities in total biomass (TB) and TGBs.
- Correlated phytoplankton dynamics with environmental factors such as nitrogen concentration, temperature, and water chemistry.
Main Results:
- Observed decreasing trends in TB and TGBs over the 25-year period.
- Identified decadal periodicity in TB linked to nitrogen and Cryptophytes.
- Found annual periodicities related to temperature, influencing Chlorophytes and Dinoflagellates.
- Revealed that analysis by specific periods highlights dynamics (e.g., Diatoms) obscured in complete series analysis.
Conclusions:
- Phytoplankton communities exhibit distinct temporal dynamics at monthly to decadal scales.
- Environmental factors (climate, water physics/chemistry) operate at different timescales and affect specific TGBs.
- A holistic approach integrating "taxonomical group-control factor-trend and periodicity" is essential for explaining non-stationary phytoplankton dynamics.

