Automated Author ProfileLaskurain, Nere Amaia
University of the Basque Country
Laskurain, Nere Amaia
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: 2.8 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Questions: Does the absence of equalizing mechanisms after cessation of grazing unleash strong aboveground competitors to create large patches in the community? Do these competitive intraspecific aggregations displace and exclude other species, thereby reducing species diversity? Location: Atlantic grasslands in the Aralar Natural Park, Basque Country, Northern Iberian Peninsula. Methods: Large herbivores were experimentally excluded from three sites (50 m × 50 m exclusion fences) during nine years in a productive semi-natural grassland system with long history of grazing, using adjacent grazed plots as experimental controls. Sampling was carried out by placing systematically one hundred quadrats (0.5 m × 0.5 m) in each of the six plots. Floristic composition and abundance, as well as eight hydrological and chemical soil properties, were measured in each quadrat. The spatial structures created by competitive species were analysed using Redundancy analysis in conjunction with Moran's Eigenvector Maps, and soil variables were simultaneously included in the analyses, thus disentangling the structures likely created by niche effects. Competitive exclusion was further determined using linear regressions between species richness and abundance of competitive species. Results: Grazing exclusion unleashed competitive species such as Festuca rubra and Agrostis capillaris, which became dominant in the exclusion plots and created large spatial patches. Furthermore, a negative linear relationship, consistent across exclusion plots, was observed between species richness and abundance of competitive species, indicating that strong aboveground competitors outcompeted other species when herbivores were excluded. However, the outcome of grazing exclusion across sites depended to some extent on local environmental conditions (niche effects). Conclusions: This work confirms that the powerful equalizing mechanism of disturbance by herbivores is crucial for species co-existence in productive grasslands. However, important differences observed in environmental effects across sites suggest that, even in highly productive grasslands, plant traits and local environmental characteristics (niche effects) do matter for species co-existence.
Authors
- Odriozola, Iñaki ;
- García-Baquero, Gonzalo ;
- Fortin, Marie-Josée ;
- Laskurain, Nere Amaia ;
- Aldezabal, Arantza