Automated Organization ProfileGeography DepartmentHumboldt‐University Berlin Berlin Germany
Geography DepartmentHumboldt‐University Berlin Berlin Germany
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 in this organization
Average FAIR Score
76.9%
Average FAIR Score per dataset
Total Citations
1
Total citations to the organization's datasets
Total Mentions
0
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: 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
- Worldwide, tropical savannas and dry forests are under increasing pressure from land use. The environmental impacts of agricultural expansion into these ecosystems have received much attention, yet subtler changes in natural vegetation remain severely understudied. 2. We explored how bird communities vary along gradients of woody vegetation in the South American Dry Chaco by combining high-resolution, satellite-based tree, shrub, and total woody cover with field data on the frequency of 82 bird species surveyed in 167 plots. We identified change points along woody cover gradients where the relative frequency of individual bird species dropped most strongly. Based on this, we identified forest indicator species and assessed evidence for community-level thresholds. 3. Most forest birds (71%) had clear change points in their frequencies along vegetation gradients, starting as high as 38% total woody cover. Many (41%) forest species declined drastically at woody cover levels of less than 11%. This general pattern was similar for tree and shrub cover. 4. Only 7% of our study area had woody cover levels where we detected no response in forest bird communities. In contrast, 68% of the area had woody cover levels with incremental declines in forest bird species, and 25% of the study area had woody cover levels below the forest bird community threshold. 5. We identified eleven indicator species strongly related to woody cover, with highest frequencies in the eastern and western Dry Chaco. Spatial distributions of these species corresponded well with areas above and below woody vegetation thresholds. 6. Synthesis and applications. We found evidence for critical thresholds for forest birds along woody cover gradients in dry forests, and implemented tools to map where these thresholds have been crossed. For the Chaco, we highlight the importance of maintaining woody cover levels above about 40%, such as in certain silvopastoral systems that can be much more wildlife-friendly than other forms of agriculture. We identify remaining areas of potentially intact forest bird communities. More broadly, this study highlights the value of combining species-level (indicator species’ distributions) and ecosystem-level (satellite-based, continuous woody cover maps) surrogates for understanding biodiversity patterns and threats.
Authors
- Macchi, Leandro ;
- Baumann, Matthias ;
- Bluhm, Hendrik ;
- Baker, Matthew ;
- Levers, Christian ;
- Grau, Héctor Ricardo ;
- Kuemmerle, Tobias
1 Citation0 Mentions77% FAIR2.2 Dataset Index
10.5061/dryad.3hg00542019