Automated Author ProfileHolden, Emily
Alberta Biodiversity Monitoring InstituteUniversity of Alberta
Holden, Emily
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: 1.2 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Plants live in a heterogeneous world, where nutrient and neighbour distributions vary in space and time. Plants can respond to this variation through plastic responses in individual organs, which are assumed to be coordinated among traits to support a coherent, adaptive strategy, maintaining plant growth in varying environments. However, this assumption remains understudied. Here, we test coordination in trait plasticity and its influence on plant performance. We do so among 27 naturally co-occurring species under four different neighbour and soil fertility contexts using data from two mesocosm experiments manipulating nutrients and neighbour presence. We focus on commonly-studied resource-acquisitive traits: specific leaf area (SLA), root tissue density (RTD), and specific root length (SRL). We found species exhibited plasticity in SLA, RTD, and SRL 50-75 % of the time and that responses to neighbours were stronger than nutrients for SLA and RTD, but not SRL. However, plastic responses were highly modular, correlated < 10 % of the time, and had little coordination consistent with the trait economics paradigm. Consequences of plasticity for plant performance depended on the trait, the response direction, and whether plants were responding to nutrients or neighbours. Plasticity in RTD was unrelated to performance, but species that increased their SRL under low nutrient conditions performed worse than those showing no SRL plasticity, while SRL responses to neighbours had no effect. Similarly, species that increased SLA under low nutrients or with neighbours showed reduced performance compared to those that decreased SLA in those same conditions. Overall, plasticity in SLA, RTD, and SRL rarely manifested as a correlated or coordinated response promoting growth maintenance in our study. Instead, plasticity’s consequences hinged on the direction of trait shifts, sometimes incurring costs. Future studies should consider plasticity a directional phenomenon.
Authors
- Brown, Charlotte ;
- Holden, Emily ;
- Cahill, James