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Controlling wildfire suppression expenditures has become a major public policy concern in the United States. However, most policy remedies have focused on the bio-physical determinants of suppression costs: fuel loads and weather, for example. We show that two non-biophysical variables—newspaper coverage and political press-ure—have a significant effect on(More)
Approaches for forecasting wildfire suppression costs in advance of a wildfire season are demonstrated for two lead times: fall and spring of the current fiscal year (Oct. 1–Sept. 30). Model functional forms are derived from aggregate expressions of a least cost plus net value change model. Empirical estimates of these models are used to generate(More)
The US Forest Service and other land-management agencies seek better tools for anticipating future expenditures for wildfire suppression. We developed regression models for forecasting US Forest Service suppression spending at 1-, 2-, and 3-year lead times. We compared these models to another readily available forecast model, the 10-year moving average(More)
Thank you for joining us along the Front Range in Colorado for a conference aimed at advancing the knowledge and practice related to the human side of managing fire prone landscapes. Specifically, this conference was intended for researchers and professionals involved in the science or practice of the human dimensions of wildland fire including suppression,(More)
  • K Gebert
  • 1975
From the standpoint of polyethiological methods of treating children's neuropsychiatric disorder images, the present paper is concerned with the question of environmental morbific agents which play a part in the genesis of these disorders. The results have made it clear that children of divorced marriages have to be treated at medical establishments for(More)
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