Automated Author Profile

Amarasekare, Priyanga

Current S-Index

7.6

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

1.9

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

1

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 Uszko et al. (2017) for main publication and manual supplement

No description available

Authors

  • Uszko, Wojciech ;
  • Diehl, Sebastian ;
  • Englund, Göran ;
  • Amarasekare, Priyanga
0 Citations0 Mentions77% FAIR1.9 Dataset Index
10.5061/dryad.kb76qj8/42018

Data from: Towards a mechanistic understanding of thermal niche partitioning (Version: 1)

We develop a theoretical framework to elucidate the mechanistic basis of thermal niche partitioning in ectotherms. Using a food web module of two consumers competing for a biotic resource, we investigate how temperature effects on species' attack and mortality rates scale up to population-level outcomes of coexistence and exclusion. We find that species' differences in competitive effects arise from asymmetries generated by the non-linear temperature response of mortality: cold-adapted species experience stronger intra-specific competition than warm-adapted species; they also exert weaker competition on, and experience stronger competition from, warm-adapted species. These asymmetries become greater as seasonal fluctuations increase, generating latitudinal variation in coexistence and priority effects. Characterizing species' thermal niches in terms of mechanistic descriptions of trait responses allows for testable predictions about population-level competitive outcomes based solely on three fundamental, and easily measurable, quantities: attack rate optima, response breadths and temperature sensitivity of mortality. We test our predictions with data from an insect host-parasitoid community. By quantifying the three basic quantities we predict that priority effects cannot occur, which is borne out by population-level experiments showing that the outcome of competition does not depend on initial conditions. More broadly, our framework can predict the conditions under which exotic invasive species can exclude, or coexist with, native biota, and the effects of climate warming on competitive communities across latitudinal gradients.

Authors

  • Smith, Daniel J. ;
  • Amarasekare, Priyanga
1 Citation0 Mentions77% FAIR2.3 Dataset Index
10.5061/dryad.m1k5m2017

temperature_responses_traits

No description available

Authors

  • Amarasekare, Priyanga
0 Citations0 Mentions77% FAIR1.7 Dataset Index
10.5061/dryad.m6h1g/12014

data_amarasekare&savage_2012

No description available

Authors

  • Amarasekare, Priyanga ;
  • Savage, Van ;
  • Amarasekare, Priyanga ;
  • Savage, Van
0 Citations0 Mentions77% FAIR1.7 Dataset Index
10.5061/dryad.g467j7g2/12011