Montana's forest products industry and timber harvest, 2004

Spoelma, Timothy P.; Morgan, Todd A.; Dillon, Thale; Chase, Alfred L.; Keegan, Charles E.; DeBlander, Larry T.

doi:10.2737/rmrs-rb-8

Cited by 8 publications

(11 citation statements)

References 6 publications

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“…Because these data were minimum count data rather than statistical estimates of population size, estimates of trend also hinged upon an assumption of a constant mean sightability over time. Although there were no data to suggest a change in sightability over the time period considered, it is conceivable that aging forest stands combined with reduced timber harvest (Spoelma et al ), changes to riparian–willow habitats (whether degradation or restoration), or changes in rancher practices that alter the availability of alternative food sources (such as winter hay stacks) over this same time period may also be responsible for changes in counts by inducing gradual changes in mean sightability during surveys.…”

Section: Discussionmentioning

confidence: 99%

Calibrating minimum counts and catch‐per‐unit‐effort as indices of moose population trend

et al. 2016

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Monitoring wildlife population trends often involves indices assumed to correlate in proportion to abundance. We used aerial count data and harvest statistics for moose (Alces alces) populations in 16 hunting districts of Montana, USA, spanning 32 years (1983–2014) to assess population trends, drivers of uncertainty about those trends, and the relationship between aerial counts and hunter catch‐per‐unit‐effort (CPUE). We found a great deal of statistical uncertainty surrounding population trends of moose measured with aerial minimum‐count data, despite time series averaging >15 annual counts/district. State‐space models of count‐based trends suggested declining populations in 11 of 16 districts, yet 95% credible intervals overlapped 0 in all cases. The precision of count‐based trends improved with increases in the number of years spanned by the time series (β = −0.003, P < 0.001) and average number of moose counted per survey (β = −0.0006, P = 0.002). Calibration of CPUE with count data showed positive correlations in only 5 of 16 (31%) districts and a catchability exponent (β) significantly <1. This indicated a generally poor level of agreement between these 2 indices, and evidence of “hyperstability,” wherein declines measured by aerial counts were not reflected by proportionate declines in CPUE. Additionally, long‐term trends measured with CPUE were not correlated to those in aerial counts (P = 0.61). We encourage explicit attention to the precision of trend estimates and local calibration of population indices to ensure both positive and proportionate relationships to underlying patterns of abundance. © 2016 The Wildlife Society.

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Section: Discussionmentioning

confidence: 99%

Calibrating minimum counts and catch‐per‐unit‐effort as indices of moose population trend

et al. 2016

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“…The fractions of pulp-log and sawlog mass converted to various products were estimated from published sources (Biermann 1993, Brandt et al 2006, Milota et al 2005, Southwest Forest Products 2011, Spoelma et al 2008. Sources for median lives of the resulting products include McKeever (2002), Skog (2008), Skog and Nicholson (1998), and Winjum et al (1998).…”

Section: Materials Removedmentioning

confidence: 99%

Fuel treatment impacts on estimated wildfire carbon loss from forests in Montana, Oregon, California, and Arizona

et al. 2012

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Abstract. Using forests to sequester carbon in response to anthropogenically induced climate change is being considered across the globe. A recent U.S. executive order mandated that all federal agencies account for sequestration and emissions of greenhouse gases, highlighting the importance of understanding how forest carbon stocks are influenced by wildfire. This paper reports the effects of the most common forest fuel reduction treatments on carbon pools composed of live and dead biomass as well as potential wildfire emissions from six different sites in four western U.S. states. Additionally, we predict the median forest product life spans and uses of materials removed during mechanical treatments. Carbon loss from modeled wildfire-induced tree mortality was lowest in the mechanical plus prescribed fire treatments, followed by the prescribed fire-only treatments. Wildfire emissions varied from 10-80 Mg/ha and were lowest in the prescribed fire and mechanical followed by prescribed fire treatments at most sites. Mean biomass removals per site ranged from approximately 30-60 dry Mg/ha; the median lives of products in first use varied considerably (from ,10 to .50 years). Our research suggests most of the benefits of increased fire resistance can be achieved with relatively small reductions in current carbon stocks. Retaining or growing larger trees also reduced the vulnerability of carbon loss from wildfire. In addition, modeled vulnerabilities to carbon losses and median forest product life spans varied considerably across our study sites, which could be used to help prioritize treatment implementation.

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“…The primary data sources for this project were periodic forest industry surveys and censuses conducted for or by the Interior West and Pacific Northwest Forest Inventory and Analysis Programs of the USDA Forest Service, the Washington Department of Natural Resources, Washington State University, the University of Washington, and the University of Montana. Results from these surveys and censuses are available in recent publications on the forest products industry (Morgan et al 2004a(Morgan et al , 2004b(Morgan et al , 2005bBrandt et al , 2009Spoelma et al 2008;Halbrook et al 2009) and in approximately 55 additional publications dating back to 1970 (see the Appendix). Other sources (e.g., Haynes 1990, 1994;Kilborn 2004) were used for time periods or for states in which mill censuses were not available.…”

Section: Methodsmentioning

confidence: 99%

“…Lumber is the dominant product manufactured from timber in the western United States, with sawmills receiving approximately 75 percent of all harvested timber (Morgan et al 2004a(Morgan et al , 2004b(Morgan et al , 2005bBrandt et al , 2009Hiserote 2006, 2007;Spoelma et al 2008;Halbrook et al 2009). Estimates of wood usage and trends in the proportion of timber harvested per unit of lumber, as well as patterns and efficiency of utilization, are useful to private and public lands analysts, forest planners, and economic forecasters.…”

mentioning

confidence: 99%

Trends in Lumber Processing in the Western United States. Part I: Board Foot Scribner Volume per Cubic Foot of Timber

Keegan¹,

Morgan²,

Blatner³

et al. 2010

Forest Products Journal

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This article describes trends in board foot Scribner volume per cubic foot of timber fqr logs processed by sawmills in the western United States. Board foot to cubic foot (BF/CF) ratios for the period from 2000 through 2006 ranged from 3.70 in Montana to 5.71 in the Four Comers Region (Arizona, Colorado, New Mexico, and Utah). Sawmills in the Four Comers Region, Alaska, and California had the highest ratios, with each state's BF/CF ratio greater than 5.0. Among the states using the Eastside Scribner scale, the Four Comers Region had the highest BF/CF ratio (5.71), followed by California (5.03). Among states using primarily the Westside Scribner scale, Alaska had the highest ratio (5.29). All states or regions, with the exception of Alaska, have shown declines in BF/CF ratios over the last three decades. Montana has had the largest estimated decline (29%), followed by Oregon (23%). The increase in Alaska was the smallest change among states «2%). Two major factors in the western United States appear to have largely influenced BF/CF ratios: changes in log diameter processed by western sawmills and the use of Westside versus Eastside variants of the Scribner Log Rule.

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Montana's forest products industry and timber harvest, 2004

Cited by 8 publications

References 6 publications

Calibrating minimum counts and catch‐per‐unit‐effort as indices of moose population trend

Calibrating minimum counts and catch‐per‐unit‐effort as indices of moose population trend

Fuel treatment impacts on estimated wildfire carbon loss from forests in Montana, Oregon, California, and Arizona

Trends in Lumber Processing in the Western United States. Part I: Board Foot Scribner Volume per Cubic Foot of Timber

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