Automated Author ProfileW. Paerl, Hans
W. Paerl, Hans
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 2.8 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Trait-based approaches provide a mechanistic framework crossing scales from cellular traits to community dynamics, while ecological stoichiometry applies first principles to understand how the balance of energy and elements shape ecological interactions. However, few studies have explicitly linked both frameworks. In this study, we tested the stoichiometric regulation of a number of carbon (C) based (e.g., extracellular polysaccharides (EPS) and colony formation) and nitrogen (N) containing traits (i.e., chlorophyll-a, phycocyanin and gas vesicle content) in cyanobacteria in laboratory experiments and in the field. We exposed the cosmopolitan colony forming freshwater cyanobacterium Microcystis sp. in batch experiments to light, N and phosphorus (P) limitation, and enhanced CO2 levels, and assessed the regulation of these traits. Cyanobacterial traits followed stoichiometrically predictable patterns, where N containing traits increased with cellular N content, and decreased with increasing C:N ratios. C-based traits increased with cellular C content and C:N ratios under nutrient limitation, particularly N. The pattern of colony formation was confirmed with field data from Lake Taihu (China), showing an increase in colony size when N was limiting and N:P ratios were low. Our findings demonstrate how an explicit coupling of trait-based approaches to ecological stoichiometry can support our mechanistic understanding of responses of cyanobacteria towards shifts in resource availability.
Authors
- Duan, Zhipeng ;
- Tan, Xiao ;
- W. Paerl, Hans ;
- mer B. Van de Waal, de