Background

The moisture content of litter and woody debris is a key determinant of fire potential and fire behaviour. Obtaining reliable estimates of the moisture content of dead fine fuels (i.e. 1-h and 10-h fuels) is therefore a critical requirement for effective fire management.

Aims

We evaluated and compared the performance of five simple models for fuel moisture content. The models belong to two separate classes: (1) exponential functions of the vapour pressure deficit; and (2) affine functions of the (weighted) difference between air temperature and relative humidity.

Methods

Model performance is assessed using error and correlation statistics, calculated using cross validation, over four empirical datasets.

Key results

Overall, the best performing models were the relaxed and generalised models based on the weighted difference between temperature and relative humidity.

Conclusions

Simple functions of the difference between air temperature and relative humidity can perform as well as, if not better than exponential functions of vapour pressure deficit. However, it is important to note the limitations of all these models when applied to fuels with moisture contents <10%.

Implications

The moisture content of fine dead fuels and woody debris can be reliably estimated using simple models that are amenable to easy application.