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

Autor/inn/en	Curry, Guy L.; Coulson, Robert N.; Gan, Jianbang; Tchakerian, Maria D.; Smith, C. Tattersall
Titel	An Optimization-Based System Model of Disturbance-Generated Forest Biomass Utilization
Quelle	In: Bulletin of Science, Technology & Society, 28 (2008) 6, S.486-495 (10 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0270-4676
DOI	10.1177/0270467608318121
Schlagwörter	Systems Analysis; Programming; Sustainable Development; Models; Conservation (Environment); Forestry; Land Use; Ecology; Decision Support Systems; Natural Disasters; Economics; Natural Resources; Physical Environment; Ecological Factors; Entomology; Use Studies; Environmental Research; Recycling; Computer Simulation; Computer Software + Suchen Sie Ihr Suchwort? System analysis; Systemanalyse; Programmierung; Nachhaltige Entwicklung; Analogiemodell; Conservation; Environment; Konservierung; Bewahung; Umwelt; Forstwissenschaft; Waldwirtschaft; Bodennutzung; Ökologie; Entscheidungshilfe; Natural disaster; Naturkatastrophe; Volkswirtschaftslehre; Natural Ressource; Natürliche Ressource; Natürliche Umwelt; Ökologischer Ansatz; Entomologie; Benutzerschulung; Environmental study; Umweltforschung; Computergrafik; Computersimulation
Abstract	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. (Contains 1 table and 3 figures.) (As Provided).
Anmerkungen	SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10