Automated Author ProfileAguirre, J. David
Aguirre, J. David
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: 54.5 (sum of 32 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
We examined the historical biogeography of marine fish biodiversity in the 0-500 m depth layer in Aotearoa New Zealand and adjacent areas of the Southwest Pacific using taxonomic and phylogenetic metrics. We built checklists of taxa occurring in our focal depth zone using open-access repositories, and generated distribution maps with AquaMaps for 313 taxa that have phylogenetic data as they are included in the most up-to-date molecular phylogeny for New Zealand's actinopterygians. Here, we present the results for five datasets that differ on five occurrence probabilities selected from AquaMaps. Using the Biodiverse software to compute biodiversity metrics, we found that spatial patterns of richness and endemism differ. We propose evolutionary hypotheses to explain our results.
Authors
- Samayoa, André P. ;
- Aguirre, J. David ;
- Smith, Adam ;
- Liggins, Libby
We examined the historical biogeography of marine fish biodiversity in the 0-500 m depth layer in Aotearoa New Zealand and adjacent areas of the Southwest Pacific using taxonomic and phylogenetic metrics. We built checklists of taxa occurring in our focal depth zone using open-access repositories, and generated distribution maps with AquaMaps for 313 taxa that have phylogenetic data as they are included in the most up-to-date molecular phylogeny for New Zealand's actinopterygians. Here, we present the results for five datasets that differ on five occurrence probabilities selected from AquaMaps. Using the Biodiverse software to compute biodiversity metrics, we found that spatial patterns of richness and endemism differ. We propose evolutionary hypotheses to explain our results.
Authors
- Samayoa, André P. ;
- Aguirre, J. David ;
- Smith, Adam ;
- Liggins, Libby
We examined the historical biogeography of marine fish biodiversity in the 0-500 m depth layer in Aotearoa New Zealand and adjacent areas of the Southwest Pacific using taxonomic and phylogenetic metrics. We built checklists of taxa occurring in our focal depth zone using open-access repositories, and generated distribution maps with AquaMaps for 313 taxa that have phylogenetic data as they are included in the most up-to-date molecular phylogeny for New Zealand's actinopterygians. Here, we present the results for five datasets that differ on five occurrence probabilities selected from AquaMaps. Using the Biodiverse software to compute biodiversity metrics, we found that spatial patterns of richness and endemism differ. We propose evolutionary hypotheses to explain our results.
Authors
- Samayoa, André P. ;
- Aguirre, J. David ;
- Smith, Adam ;
- Liggins, Libby
No description available
Authors
- Peters, Katharina J. ;
- Evans, Christine ;
- Aguirre, J. David ;
- Kleindorfer, Sonia
Genetic correlations between traits can concentrate genetic variance into fewer phenotypic dimensions that can bias evolutionary trajectories along the axis of greatest genetic variance and away from optimal phenotypes, constraining the rate of evolution. If genetic correlations limit adaptation, rapid adaptive divergence between multiple contrasting environments may be difficult. However, if natural selection increases the frequency of rare alleles after colonisation of new environments, an increase in genetic variance in the direction of selection can accelerate adaptive divergence. Here, we explored adaptive divergence of an Australian native wildflower by examining the alignment between divergence in phenotype mean and divergence in genetic variance among four contrasting ecotypes. We found divergence in mean multivariate phenotype along two major axes represented by different combinations of plant architecture and leaf traits. Ecotypes also showed divergence in the level of genetic variance in individual traits, and the multivariate distribution of genetic variance among traits. Divergence in multivariate phenotypic mean aligned with divergence in genetic variance, with much of the divergence in phenotype among ecotypes associated with changes in trait combinations containing substantial levels of genetic variance. Overall, our results suggest that natural selection can alter the distribution of genetic variance underlying phenotypic traits, increasing the amount of genetic variance in the direction of natural selection and potentially facilitating rapid adaptive divergence during an adaptive radiation.
Authors
- Walter, Gregory Matthew ;
- Aguirre, J. David ;
- Blows, Mark W. ;
- Ortiz-Barrientos, Daniel
No description available
Authors
- Walter, Gregory M. ;
- Wilkinson, Melanie J. ;
- James, Maddie E. ;
- Richards, Thomas J. ;
- Aguirre, J. David ;
- Ortiz-Barrientos, Daniel
No description available
Authors
- Walter, Gregory M. ;
- Wilkinson, Melanie J. ;
- James, Maddie E. ;
- Richards, Thomas J. ;
- Aguirre, J. David ;
- Ortiz-Barrientos, Daniel
No description available
Authors
- Walter, Gregory M. ;
- Wilkinson, Melanie J. ;
- James, Maddie E. ;
- Richards, Thomas J. ;
- Aguirre, J. David ;
- Ortiz-Barrientos, Daniel
No description available
Authors
- Muir, Paul ;
- Marshall, Paul ;
- Abdulla, Ameer ;
- Aguirre, J. David