Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

Click here for more information

Click here for more information on Teaching Inquiry Science in Middle and Secondary Schools

Sign In to gain access to subscriptions and/or personal tools.
Bulletin of Science, Technology & Society
This Article
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
0270467608318121v1
28/6/486    most recent
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Curry, G. L.
Right arrow Articles by Tattersall Smith, C.
Right arrow Search for Related Content
Social Bookmarking
 Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

An Optimization-Based System Model of Disturbance-Generated Forest Biomass Utilization

Guy L. Curry

Texas A&M University

Robert N. Coulson

Texas A&M University

Jianbang Gan

Texas A&M University

Maria D. Tchakerian

Texas A&M University

C. Tattersall Smith

University of Toronto

Disturbance-generated biomass results from endogenous and exogenous natural and cultural disturbances that affect the health and productivity of forest ecosystems. These disturbances can create large quantities of plant biomass on predictable cycles. A systems analysis model has been developed to quantify aspects of system capacities (harvest, transportation, and processing), spatial aspects of the biomass generation process, and deterioration impacts on biomass quality in the various inventory states (field stands, field-harvested inventories, transportation prepared inventories, and production facility inventories). Optimal decision alternatives can be used to guide responses to reclamation, utilization, mitigation, and control. This is particularly advantageous in insect and disease outbreaks, in which the process may last several years, with varying levels of intensity. The prescriptive system description, assuming capacities are fixed, results in a linear programming model. The time-dependent capacity decision model results in a mixed-integer programming model. The analytical model is developed in detail in this analysis.

Key Words: systems analysis • linear programming • disturbance generated • biomass utilization

This version was published on December 1, 2008

Bulletin of Science, Technology & Society, Vol. 28, No. 6, 486-495 (2008)
DOI: 10.1177/0270467608318121


Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?