Automated Organization ProfileSLU Swedish Species Information Centre, Swedish University of Agricultural Sciences, Uppsala, Sweden
SLU Swedish Species Information Centre, Swedish University of Agricultural Sciences, Uppsala, Sweden
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets in this organization
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the organization's datasets
Total Mentions
Total mentions of the organization'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: 3.7 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
From article abstract: https://doi.org/10.1016/j.biocon.2022.109491 ABSTRACT Biodiverse communities have been shown to sustain high levels of multifunctionality and thus a loss of species likely negatively impacts ecosystem functions. For most taxa, however, the roles of individual species are poorly known. Rare species, often the most likely to go extinct, may have unique traits leading to unique functional roles. Alternatively, rare species may be functionally redundant, such that their loss would not disrupt ecosystem functions. We quantified the functional role of rare species by using capture records of wood-living (saproxylic) beetle species, combined with recent databases of their morphological and ecological traits, from three regions in central and northern Europe. Using a rarity index based on species’ local abundance, geographic range, and habitat breadth, we used local and regional species removal simulations to examine the contributions of both the rarest and the most common beetle species to three measures of community functional structure: functional richness, functional specialization, and functional originality. In both regional species pools and local communities, all three of these measures declined more rapidly when rare species were removed than under common (or random) species removal scenarios. These consistent patterns across scales and among several forest types give evidence that rare species provide unique functional contributions, and that their loss may disproportionately impact ecosystem functions. This implies that conservation measures targeting rare and endangered species, such as preserving intact forests with dead wood and mature trees, can provide broader ecosystem-level benefits. Experimental research linking functional structure to ecosystem processes should be prioritized to increase our understanding of the functional consequences of species loss and to develop more effective conservation strategies. DATASET DESCRIPTION This dataset includes a) beetle capture information and b) beetle trait information from three countries: 1) Norway, 2) Finland, and 3) Germany. FILES readme.txt -- this has the information from this description section Norway_traits.csv, Finland_traits.csv, Germany_traits.csv -- these are the trait files, including all species Norway_sites.species.csv, Finland_sites.species.csv, Germany_sites.species.csv -- this has species (rows) by sites (columns); values are the number of beetles caught (for number of traps, dates, and other site covariates, see related dataset: https://doi.org/10.5061/dryad.tmpg4f50b and manuscript: https://doi.org/10.1111/jbi.14272). Species names follow GBIF taxonomic backbone. Traits_METADATA.csv -- this has information on all the fields in the trait data
Authors
- Burner, Ryan C. ;
- Drag, Lukas ;
- Stephan, Jörg G. ;
- Birkemoe, Tone ;
- Wetherbee, Ross ;
- Muller, Jörg ;
- Siitonen, Juha ;
- Snäll, Tord ;
- Skarpaas, Olav ;
- Potterf, Mária ;
- Doerfler, Inken ;
- Gossner, Martin M. ;
- Schall, Peter ;
- Weisser, Wolfgang W. ;
- Sverdrup-Thygeson, Anne
From article abstract: https://doi.org/10.1016/j.biocon.2022.109491 ABSTRACT Biodiverse communities have been shown to sustain high levels of multifunctionality and thus a loss of species likely negatively impacts ecosystem functions. For most taxa, however, the roles of individual species are poorly known. Rare species, often the most likely to go extinct, may have unique traits leading to unique functional roles. Alternatively, rare species may be functionally redundant, such that their loss would not disrupt ecosystem functions. We quantified the functional role of rare species by using capture records of wood-living (saproxylic) beetle species, combined with recent databases of their morphological and ecological traits, from three regions in central and northern Europe. Using a rarity index based on species’ local abundance, geographic range, and habitat breadth, we used local and regional species removal simulations to examine the contributions of both the rarest and the most common beetle species to three measures of community functional structure: functional richness, functional specialization, and functional originality. In both regional species pools and local communities, all three of these measures declined more rapidly when rare species were removed than under common (or random) species removal scenarios. These consistent patterns across scales and among several forest types give evidence that rare species provide unique functional contributions, and that their loss may disproportionately impact ecosystem functions. This implies that conservation measures targeting rare and endangered species, such as preserving intact forests with dead wood and mature trees, can provide broader ecosystem-level benefits. Experimental research linking functional structure to ecosystem processes should be prioritized to increase our understanding of the functional consequences of species loss and to develop more effective conservation strategies. DATASET DESCRIPTION This dataset includes a) beetle capture information and b) beetle trait information from three countries: 1) Norway, 2) Finland, and 3) Germany. FILES readme.txt -- this has the information from this description section Norway_traits.csv, Finland_traits.csv, Germany_traits.csv -- these are the trait files, including all species Norway_sites.species.csv, Finland_sites.species.csv, Germany_sites.species.csv -- this has species (rows) by sites (columns); values are the number of beetles caught (for number of traps, dates, and other site covariates, see related dataset: https://doi.org/10.5061/dryad.tmpg4f50b and manuscript: https://doi.org/10.1111/jbi.14272). Species names follow GBIF taxonomic backbone. Traits_METADATA.csv -- this has information on all the fields in the trait data
Authors
- Burner, Ryan C. ;
- Drag, Lukas ;
- Stephan, Jörg G. ;
- Birkemoe, Tone ;
- Wetherbee, Ross ;
- Muller, Jörg ;
- Siitonen, Juha ;
- Snäll, Tord ;
- Skarpaas, Olav ;
- Potterf, Mária ;
- Doerfler, Inken ;
- Gossner, Martin M. ;
- Schall, Peter ;
- Weisser, Wolfgang W. ;
- Sverdrup-Thygeson, Anne