Skip to main content

Estimating Aboveground Tree Biomass for Beetle-Killed Lodgepole Pine in the Rocky Mountains of Northern Colorado

Buy Article:

$21.50 plus tax (Refund Policy)

The recent mountain pine beetle (Dendroctonus ponderosae Hopkins) epidemic has affected millions of hectares of conifer forests in the Rocky Mountains. Land managers are interested in using biomass from beetle-killed trees for bioenergy and biobased products, but they lack adequate information to accurately estimate biomass in stands with heavy mortality. We destructively sampled live (n = 7) and mountain pine beetle-killed (n = 7) lodgepole pine (Pinus contorta Dougl. ex Loud.) trees in the northern Colorado Rocky Mountains to develop and compare diameter-based aboveground component biomass equations. We used the seemingly unrelated regression approach to simultaneously estimate the parameters in the system of allometric equations. The results show no significant difference in total aboveground biomass between live and dead trees. However, top, bark, and foliage components are significantly different between the two groups (P < 0.05). When logging residues (i.e., tree tops, branches, and foliage) are of interest as biomass feedstock, the allometric equations developed for beetle-killed trees could provide more accurate estimates of the resources available in beetle-killed stands than the existing live tree allometric equations.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Data/Media
No Metrics

Keywords: allometry; bioenergy feedstock; logging residue; mountain pine beetle; seemingly unrelated regression

Document Type: Research Article

Publication date: 2017-08-09

More about this publication?
  • Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
    Forest Science is published bimonthly in February, April, June, August, October, and December.

    2016 Impact Factor: 1.782 (Rank 17/64 in forestry)

    Average time from submission to first decision: 62.5 days*
    June 1, 2016 to Feb. 28, 2017

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
  • Submit a Paper
  • Membership Information
  • Author Guidelines
  • Podcasts
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more