Automated Author Profile

Frank, Hannah Kim

Current S-Index

8.1

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

2.0

Average Dataset Index per dataset

Total Datasets

4

Total datasets for this author

Average FAIR Score

76.9%

Average FAIR Score per dataset

Total Citations

3

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

Data from: Phylogeny, traits and biodiversity of a neotropical bat assemblage: close relatives show similar responses to local deforestation (Version: 1)

If species’ evolutionary pasts predetermine their responses to evolutionarily novel stressors, then phylogeny could predict species survival in an increasingly human-dominated world. To understand the role of phylogenetic relatedness in structuring responses to rapid environmental change, we focused on assemblages of Neotropical bats, an ecologically diverse and functionally important group. We examined how taxonomic and phylogenetic diversity shift between tropical forest and farmland. We then explored the importance of evolutionary history by ascertaining whether close relatives share similar responses to environmental change and which species traits might mediate these trends. We analyzed a 5-year data set (5,011 captures) from 18 sites in a countryside landscape in southern Costa Rica using statistical models that account and correct for imperfect detection of species across sites, spatial autocorrelation, and consideration of spatial scale. Taxonomic and phylogenetic diversity decreased with deforestation, and assemblages became more phylogenetically clustered. Species’ responses to deforestation were strongly phylogenetically correlated. Body mass and absolute wing loading explained a substantial portion of species variation in species’ habitat preferences, likely related to these traits’ influence on maneuverability in cluttered forest environments. Our findings highlight the role that evolutionary history plays in determining which species will survive human impacts and the need to consider diversity metrics, evolutionary history, and traits together when making predictions about species persistence for conservation or ecosystem functioning.

Authors

  • Frank, Hannah Kim ;
  • Frishkoff, Luke Owen ;
  • Mendenhall, Chase D. ;
  • Daily, Gretchen Cara ;
  • Hadly, Elizabeth A.
3 Citations0 Mentions77% FAIR3.1 Dataset Index
10.5061/dryad.mb552March 2017

Array of Costa Rican bat capture data

No description available

Authors

  • Frank, Hannah Kim ;
  • Frishkoff, Luke Owen ;
  • Mendenhall, Chase D. ;
  • Daily, Gretchen Cara ;
  • Hadly, Elizabeth A.
0 Citations0 Mentions77% FAIR1.7 Dataset Index
10.5061/dryad.mb552/1January 2017

Full occupancy model with traits

No description available

Authors

  • Frank, Hannah Kim ;
  • Frishkoff, Luke Owen ;
  • Mendenhall, Chase D. ;
  • Daily, Gretchen Cara ;
  • Hadly, Elizabeth A.
0 Citations0 Mentions77% FAIR1.7 Dataset Index
10.5061/dryad.mb552/2January 2017

Full occupancy model without traits

No description available

Authors

  • Frank, Hannah Kim ;
  • Frishkoff, Luke Owen ;
  • Mendenhall, Chase D. ;
  • Daily, Gretchen Cara ;
  • Hadly, Elizabeth A.
0 Citations0 Mentions77% FAIR1.7 Dataset Index
10.5061/dryad.mb552/3January 2017