Spatiotemporal patterns of observed bark beetle-caused tree mortality in British Columbia and the western United States

Abstract. Outbreaks of aggressive bark beetle species cause widespread tree mortality,
affecting timber production, wildlife habitat, wildfire, forest composition and structure,
biogeochemical cycling, and biogeophysical processes. As a result, agencies responsible for
forest management in the United States and British Columbia conduct aerial surveys to map
these forest disturbances. Here we combined aerial surveys from British Columbia (2001–
2010) and the western conterminous United States (1997–2010), produced 1-km2 grids of the
area of crown mortality from bark beetle attack, and analyzed spatial and temporal patterns.
We converted aerial-survey polygon data for each combination of host type and bark beetle
species available in the western United States, and for each bark beetle species available in
British Columbia. We converted affected area (which includes live and killed trees) to
mortality area (crown area of killed trees) using species-specific crown diameters and the
number (U.S.) or percentage (British Columbia) of killed trees. In the United States we also
produced an upper estimate of mortality area by forcing the mortality area to match that from
high-resolution imagery in Idaho, Colorado, and New Mexico. Resulting adjustment factors
of 3.7–20.9 illustrate the underestimate of mortality by the U.S. aerial surveys. The upper
estimate, which we suggest is more realistic, better matched the spatial patterns and severity of
the British Columbia mortality area. Cumulative mortality area from all bark beetles was 5.46
Mha in British Columbia in 2001–2010 and 0.47–5.37 Mha (lower and upper estimate) in the
western conterminous United States during 1997–2010. We note that we report year of
detection here; studies that consider year of tree mortality should shift the time series back one
year. We conclude by discussing uses and limitations of these data in ecological studies,
including uncertainties associated with assumptions in the methods, lack of complete coverage
by surveys, and the subjective nature of the survey databases.