Summary and reflection
A brief review of this module
Take a minute to reflect on what you’ve just learnt
In this module we looked at how to incorporate covariates into our distance sampling models, to test hypotheses on which environmental variables affect density and detectability
We discovered how to interpret coefficients in biological terms
🤔 Reflection: Minute questions
Take one minute to reflect on and answer the following questions
Further resources
So far, we’ve only considered linear effects and additive combinations of factors. It’s also possible to model:
- Non-linear effect such as a curved response, for example where medium vegetation cover promotes high densities, but low/high cover reduces density
- Interactions between variables, where the effect of one variable depends on the level of another variable, e.g. reed-cutting only affects density in small marshy patches, not larger wetlands