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Automated Author Profile

Smiley, Tara

Indiana University Bloomington
0000-0001-5940-1755

Current S-Index

3.4

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

1.7

Average Dataset Index per dataset

Total Datasets

2

Total datasets for this author

Average FAIR Score

75.0%

Average FAIR Score per dataset

Total Citations

2

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Coupled LEM Bio Datasets (Version: 1.0)

This repository contains the model simulation results used in the study “Direct effects of mountain uplift and topography on biodiversity” by Eyal Marder, Tara M. Smiley, Brian J. Yanites, and Katherine Kravitz, published in Science (2025). The dataset includes 3D mountain-building simulations spanning 20 million years, coupled with biological population dynamics(NetCDF files). Additionally, it provides final dataframes detailing individuals’ traits and phylogenetic data (pkl files).For the simulation codes, modified modules, and plotting scripts, please refer to Version 2, available at https://doi.org/10.5281/zenodo.15033903

Authors

  • Marder, Eyal ;
  • Smiley, Tara ;
  • Yanites, Brian ;
  • Kravitz, Katherine
1 Citation0 Mentions73% FAIR2.2 Dataset Index
10.5281/zenodo.10818931March 2024

Multi-dimensional biodiversity hotspots and the future of taxonomic, ecological, and phylogenetic diversity: a case study of North American rodents (Version: 2)

Aim: We investigate geographic patterns across taxonomic, ecological, and phylogenetic diversity to test for spatial (in)congruency and identify aggregate diversity hotspots in relation to present land-use and future climate. Simulating extinctions of imperiled species, we demonstrate where losses across diversity dimensions and geography are predicted. Location: North America Time period: Present-day, future Major taxa studied: Rodentia Methods: Using geographic range maps for rodent species, we quantified spatial patterns for eleven dimensions of diversity: taxonomic (species, range-weighted), ecological (body size, diet, habitat), phylogenetic (mean, variance, and nearest-neighbor patristic distances, phylogenetic distance, genus-to-species ratio) and phyloendemism. We tested for correlations across dimensions and used spatial residual analyses to illustrate regions of pronounced diversity. We aggregated diversity hotspots in relation to land-use and climate-change predictions and recalculated metrics following extinctions of IUCN-listed imperiled species. Results: Topographically-complex western North America hosts high diversity across multiple dimensions: phyloendemism and ecological diversity exceed predictions based on taxonomic richness and phylogenetic variance patterns indicate steep gradients in phylogenetic turnover. While an aggregate diversity hotspot emerges in the west, spatial incongruence exists across diversity dimensions at the continental scale. Notably, phylogenetic metrics are uncorrelated with ecological diversity. Diversity hotspots overlap with land-use and climate change, and extinctions predicted by IUCN status are unevenly distributed across space, phylogeny, or ecological groups. Main conclusions: Comparison of taxonomic, ecological, and phylogenetic diversity patterns for North American rodents clearly shows the multifaceted nature of biodiversity. Testing for geographic patterns and (in)congruency across dimensions of diversity facilitates investigation into underlying ecological and evolutionary processes. The geographic scope of this analysis suggests that several explicit regional challenges face North American rodent fauna in the future. Simultaneous consideration of multidimensional biodiversity allows us to assess what critical functions or evolutionary history we might lose with future extinctions and maximize the potential of our conservation efforts.

Authors

  • Smiley, Tara ;
  • Title, Pascal ;
  • Zelditch, Miriam ;
  • Terry, Rebecca
1 Citation0 Mentions77% FAIR1.2 Dataset Index
10.5061/dryad.4xgxd2559December 2020