Automated Organization ProfileWestern Wildlife Research Collective
Western Wildlife Research Collective
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: 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
The current framework for understanding large-scale animal movement strategies (i.e., migration, nomadism, or residency) suggests that each strategy is associated with specific combinations of resource spatial heterogeneity and temporal predictability. While there is support for this framework across ecosystems, modern tracking data has revealed that all three strategies can occur in a single population. Using 21 years of GPS data from seven populations (n = 239) of pronghorn (Antilocapra americana) and twelve populations (n = 283) of elk (Cervus canadensis) across Wyoming, USA, we examined the support for resource-based hypotheses in predicting the occurrence of migrants, nomads, and residents. Using model selection, we found support for the hypothesis that greater spatial homogeneity and less temporal predictability are associated with residency, and vice versa for migration or nomadism. However, spatiotemporal heterogeneity did not explain the differentiation between nomadic and migratory individuals. We found that climate and anthropogenic features influenced individual movements: elk were more likely residents if they experienced more mild winters, and pronghorn were more likely residents if they resided closer to roads. Our findings demonstrate that ungulate movement strategies are consistently linked to spatiotemporal resource variation across scales and identify additional mechanisms for localized behavioral differences.
Authors
- Becker, Justine A. ;
- Ortega, Anna ;
- Beck, Jeffrey ;
- Buchanan, Clay B. ;
- Bills, Thomas ;
- Hall, Embere ;
- Hennig, Jacob D. ;
- Hnilicka, Pat ;
- Huggler, Katey ;
- Kauffman, Matthew ;
- Middleton, Arthur ;
- Mong, Tony ;
- Monteith, Kevin ;
- Reinking, Adele ;
- Sawyer, Hall ;
- Scasta, John ;
- Scurlock, Brandon ;
- Merkle, Jerod