Parameters used in the endotherm biophysical model for each species
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Climate change threatens biodiversity by compromising the ability to balance energy and water, influencing animal behaviour, species interactions, distribution, and ultimately survival. Predicting climate change effects on thermal physiology is complicated by interspecific variation in thermal tolerance limits, thermoregulatory behaviour, and heterogenous thermal landscapes. We develop an approach for assessing thermal vulnerability for endotherms by incorporating behaviour and microsite data into a biophysical model. We parameterised the model using species-specific functional traits and published behavioural data on hotter (maximum daily temperature, Tmax > 35 °C) and cooler days (Tmax < 35 °C). Incorporating continuous time-activity focal observations of behaviour into the biophysical approach reveals that the three insectivorous birds modelled here are at greater risk of lethal hyperthermia than dehydration under climate change, contrary to previous thermal risk assessments. S..., , , # Data from: Parameters used in the endotherm biophysical model for each species
[https://doi.org/10.5061/dryad.zgmsbccnh](https://doi.org/10.5061/dryad.zgmsbccnh)
## Description of the data and file structure
We provide a novel approach for assessing thermal vulnerability by incorporating detailed behaviour and microsite data for endotherms exposed to recent and future climates (RCP 8.5, 4.5) into a biophysical model. The model was parameterised using species-specific functional traits and published behavioural data on hotter (maximum daily temperature, *T*max > 35 °C) and cooler days (*T*max < 35 °C). Below we have provided the biophysical traits used in the parameterisation of the model, the customized endotherm model, the operative temperature model, and an example script for predicting thermoregulation in an exposed-on-ground microsite. We have noted below the sequence in which these scripts need to be run.
### Files and variables
#### File: Model\_parameters.xlsx
**Des...
创建时间:
2024-11-15



