Daniel W. A. Noble

This paper introduces a flexible modelling framework using a four-parameter log-logistic model to estimate thermal tolerance and sensitivity, improving reliability over conventional two-stage analyses.

This paper provides a methodological roadmap with reproducible code to integrate extreme heat into ecological and physiological studies, showing improved predictions and population risk assessments.

This study shows that fluctuating salinity during development negatively affects fish growth and fecundity, with sex-specific impacts on survival and reproductive success.

The paper evaluates generality in ecological and evolutionary meta-analyses, finding that 20% of meta-analyses show consistent effects across contexts.