Automated Author ProfileCarvalho, Fabio
Kingston University
Carvalho, Fabio
Kingston University
Current S-Index
2.5
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
2.5
Average Dataset Index per dataset
Total Datasets
1
Total datasets for this author
Average FAIR Score
13.5%
Average FAIR Score per dataset
Total Citations
5
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: 2.5 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
- Edge effects are among the most significant consequences of forest fragmentation. Therefore, understanding the impacts of edge creation on biodiversity is crucial for forest management and biological conservation. 2. In this study, we used trait-based and phylogenetic approaches to examine the effects of fragmentation on components of diversity and above-ground biomass of rainforest tree communities in Madagascar in forest edge vs. interior habitats. 3. Tree communities in forest edges showed lower phylogenetic diversity relative to those in interior habitats, suggesting that some clades may be more vulnerable to environmental filtering than others. Functional diversity was also significantly lower on the edge for productivity traits, but not for dispersal traits. Tree communities in the forest edge showed higher divergence of dispersal traits and lower divergence in productivity traits than expected by chance, while functional diversity in interior forest did not differ from random expectations. This suggests separate mechanisms affect productivity traits vs. dispersal traits in edge habitat. 4. There was no significant difference in above-ground biomass between edge and interior habitats, suggesting that edge effects have not yet negatively influenced the forest’s potential for carbon storage. However, these changes may not have occurred yet, given the slow turnover of tree communities. 5. Synthesis and applications: Our results highlight the role of edge effects in the erosion of functional and phylogenetic diversity of highly diverse tree communities. While above-ground biomass did not appear to be affected by forest edge in our study, we suggest long-term monitoring of forests for potential changes in ecosystem functioning. Given the prevalence of forest fragmentation globally, these findings indicate the need for more holistic biodiversity studies to better understand local consequences of forest fragmentation.11-Jul-2017
Authors
- Razafindratsima, Onja H. ;
- Brown, Kerry A. ;
- Carvalho, Fabio ;
- Johnson, Steig E. ;
- Wright, Patricia C. ;
- Dunham, Amy E.
5 Citations0 Mentions13% FAIR2.5 Dataset Index
10.5061/dryad.jn743July 2018