Human influence on California fire regimes
Syphard, A.D., V.C. Radeloff, J.E. Keeley, T.J. Hawbaker, M.K. Clayton, S.I. Stewart, and R.B. Hammer. 2007. Human influence on California fire regimes. Ecological Applications 17(5): 1388-1402.
Abstract:
Periodic wildfire maintains the integrity and species composition of many
ecosystems, including the mediterranean-climate shrublands of California. However, human
activities alter natural fire regimes, which can lead to cascading ecological effects. Increased
human ignitions at the wildland–urban interface (WUI) have recently gained attention, but
fire activity and risk are typically estimated using only biophysical variables. Our goal was to
determine how humans influence fire in California and to examine whether this influence was
linear, by relating contemporary (2000) and historic (1960–2000) fire data to both human and
biophysical variables. Data for the human variables included fine-resolution maps of the WUI
produced using housing density and land cover data. Interface WUI, where development abuts
wildland vegetation, was differentiated from intermix WUI, where development intermingles
with wildland vegetation. Additional explanatory variables included distance to WUI,
population density, road density, vegetation type, and ecoregion. All data were summarized at
the county level and analyzed using bivariate and multiple regression methods. We found
highly significant relationships between humans and fire on the contemporary landscape, and
our models explained fire frequency (R2 ¼ 0.72) better than area burned (R2 ¼ 0.50).
Population density, intermix WUI, and distance to WUI explained the most variability in fire
frequency, suggesting that the spatial pattern of development may be an important variable to
consider when estimating fire risk. We found nonlinear effects such that fire frequency and
area burned were highest at intermediate levels of human activity, but declined beyond certain
thresholds. Human activities also explained change in fire frequency and area burned (1960–
2000), but our models had greater explanatory power during the years 1960–1980, when there
was more dramatic change in fire frequency. Understanding wildfire as a function of the
spatial arrangement of ignitions and fuels on the landscape, in addition to nonlinear
relationships, will be important to fire managers and conservation planners because fire risk
may be related to specific levels of housing density that can be accounted for in land use
planning. With more fires occurring in close proximity to human infrastructure, there may also
be devastating ecological impacts if development continues to grow farther into wildland
vegetation.