Automated Author ProfileSetiawan, Nuri Nurlaila
Ghent University
Setiawan, Nuri Nurlaila
Ghent University
Current S-Index
2.2
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
2.2
Average Dataset Index per dataset
Total Datasets
1
Total datasets for this author
Average FAIR Score
76.9%
Average FAIR Score per dataset
Total Citations
1
Total citations to the author's datasets
Total Mentions
0
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: 2.2 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
- Overyielding in mixed-species forests has been demonstrated in a vast body of literature, and the focus of functional biodiversity research is now shifting towards a mechanistic understanding of these observations. 2. We explored diversity-productivity relationships (DPRs) at two sites of a large-scale tree diversity experiment, with benign (Zed) and harsh (Ged) environmental conditions for plantation establishment. Additive partitioning methodologies were adopted to detect phenomenological patterns in the productivity data, and the trait structure of mixed communities was used to advance insights into compositional effects. 3. After six years of plantation development, biomass productivity was significantly higher in mixtures compared to the monocultures of component species. We observed that processes operated through direct tree-tree interactions, since the diversity signal disappeared where trees in mixed stands were surrounded by conspecific neighbors only. This result is particularly relevant for mixed-species planation systems, as trees are commonly planted in monospecific patches to simplify the management. Partitioning unveiled strong selection effects at both plantation sites. However, at the Ged-site this was caused by competitive dominance of species with fast young growth whereas at the Zed-site, species with slow young growth improved their performances but not at the expense of others (i.e. trait-dependent complementarity). Species tolerance to shading is an influential trait to predict biodiversity effects, with community-weighted means in shade tolerance mediating dominance effects (Ged) and functional diversity in shade tolerance mediating (trait-dependent) complementarity effects (Zed). 4. Synthesis. This study highlights that biodiversity effects in young tree plantations could be explained by the functional composition of mixed communities, with a key role for species levels of shade tolerance. As contrasting results between plantation sites were observed, future research should target the context-dependency of DPRs.
Authors
- Van de Peer, Thomas ;
- Verheyen, Kris ;
- Ponette, Quentin ;
- Setiawan, Nuri Nurlaila ;
- Muys, Bart
1 Citation0 Mentions77% FAIR2.2 Dataset Index
10.5061/dryad.866422018