Automated Author ProfileBlum, Michael J.
Blum, Michael J.
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: 63.4 (sum of 49 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
<b>Abstract</b><br/>Urbanization often substantially influences animal movement and gene flow. However, few studies to date have examined gene flow of the same species across multiple cities. In this study, we examine brown rats (Rattus norvegicus) to test hypotheses about the repeatability of neutral evolution across four cities: Salvador, Brazil; New Orleans, USA; Vancouver, Canada; New York City, USA. At least 150 rats were sampled from each city and genotyped for a minimum of 15,000 genome-wide SNPs. Levels of genome-wide diversity were similar across cities, but varied across neighborhoods within cities. All four populations exhibited high spatial autocorrelation at the shortest distance classes (< 500 m) due to limited dispersal. Coancestry and evolutionary clustering analyses identified genetic discontinuities within each city that coincided with a resource desert in New York City, major waterways in New Orleans, and roads in Salvador and Vancouver. Such replicated studies are crucial to assessing the generality of predictions from urban evolution, and have practical applications for pest management and public health. Future studies should include a range of global cities in different biomes, incorporate multiple species, and examine the impact of specific characteristics of the built environment and human socioeconomics on gene flow.
Authors
- Combs, Matthew ;
- Byers, Kaylee A. ;
- Ghersi, Bruno M. ;
- Blum, Michael J. ;
- Caccone, Adalgisa ;
- Costa, Federico ;
- Himsworth, Chelsea G. ;
- Richardson, Jonathan L. ;
- Munshi-South, Jason
Use of landform engineers for habitat restoration has often resulted in unanticipated outcomes. It is possible that departures from expectation arise because applications do not adequately account for the influence of heritable and non-heritable phenotypic variation on ecosystem attributes. In this study, we performed a common garden greenhouse experiment to determine whether soil shear strength—a characteristic linked to erosion resistance—varies according to heritable and plastic trait expression in Spartina alterniflora grown under contrasting nutrient regimes. We detected heritable variation across a broad spectrum of functional traits, including nutrient uptake. We also found that S. alterniflora exhibited trait-specific differences in nutrient-induced phenotypic plasticity. Heritable trait differences and plasticity together explained approximately 70% of the observed variation in soil shear strength. Soil shear strength increased when plants received more nutrients, but the influence of heritable variation on soil shear strength was equal to or larger than that of nutrient-induced plasticity. These findings illustrate that heritable and non-heritable trait expression can potentially govern the fate of marsh ecosystems, which suggests that consideration should be given to both factors when deploying landform engineers for coastal restoration.
Authors
- Bernik, Brittany M. ;
- Pardue, John H. ;
- Blum, Michael J. ;
- Bernik, BM ;
- Blum, MJ ;
- Pardue, JH
No description available
Authors
- Bernik, Brittany M. ;
- Pardue, John H. ;
- Blum, Michael J.
No description available
Authors
- Bernik, Brittany M. ;
- Pardue, John H. ;
- Blum, Michael J.
No description available
Authors
- Summers, Jennifer L. ;
- Bernik, Brittany ;
- Saunders, Colin J. ;
- McLachlan, Jason S. ;
- Blum, Michael J.
No description available
Authors
- Summers, Jennifer L. ;
- Bernik, Brittany ;
- Saunders, Colin J. ;
- McLachlan, Jason S. ;
- Blum, Michael J.
No description available
Authors
- Summers, Jennifer L. ;
- Bernik, Brittany ;
- Saunders, Colin J. ;
- McLachlan, Jason S. ;
- Blum, Michael J.
No description available
Authors
- Summers, Jennifer L. ;
- Bernik, Brittany ;
- Saunders, Colin J. ;
- McLachlan, Jason S. ;
- Blum, Michael J.
No description available
Authors
- Summers, Jennifer L. ;
- Bernik, Brittany ;
- Saunders, Colin J. ;
- McLachlan, Jason S. ;
- Blum, Michael J.