Identifying the location of fire refuges in wet forest ecosystems
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Berry, Laurence
Driscoll, Don
Stein, John
Blanchard, Wade
Banks, Samuel
Bradstock, Ross A.
Lindenmayer, David B
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Ecological Society of America
Abstract
The increasing frequency of large, high-severity fires threatens the survival of
old-growth specialist fauna in fire-prone forests. Within topographically diverse montane
forests, areas that experience less severe or fewer fires compared with those prevailing in the
landscape may present unique resource opportunities enabling old-growth specialist fauna to
survive. Statistical landscape models that identify the extent and distribution of potential fire
refuges may assist land managers to incorporate these areas into relevant biodiversity
conservation strategies.
We used a case study in an Australian wet montane forest to establish how predictive fire
simulation models can be interpreted as management tools to identify potential fire refuges.
We examined the relationship between the probability of fire refuge occurrence as predicted by
an existing fire refuge model and fire severity experienced during a large wildfire. We also
examined the extent to which local fire severity was influenced by fire severity in the
surrounding landscape. We used a combination of statistical approaches, including
generalized linear modeling, variogram analysis, and receiver operating characteristics and
area under the curve analysis (ROC AUC).
We found that the amount of unburned habitat and the factors influencing the retention
and location of fire refuges varied with fire conditions. Under extreme fire conditions, the
distribution of fire refuges was limited to only extremely sheltered, fire-resistant regions of the
landscape. During extreme fire conditions, fire severity patterns were largely determined by
stochastic factors that could not be predicted by the model. When fire conditions were
moderate, physical landscape properties appeared to mediate fire severity distribution.
Our study demonstrates that land managers can employ predictive landscape fire models to
identify the broader climatic and spatial domain within which fire refuges are likely to be
present. It is essential that within these envelopes, forest is protected from logging, roads, and
other developments so that the ecological processes related to the establishment and
subsequent use of fire refuges are maintained.
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Ecological Applications
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