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Use of indexing to update United States annual timber harvest by stateAuthor(s): James Howard; Enrique Quevedo; Andrew Kramp
Source: Research Paper FPL-RP-653. Madison, WI: U.S. Department of Agriculture, Forest Service, Forest Products Laboratory.
Publication Series: Research Paper (RP)
Station: Forest Products Laboratory
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DescriptionThis report provides an index method that can be used to update recent estimates of timber harvest by state to a common current year and to make 5-year projections. The Forest Service Forest Inventory and Analysis (FIA) program makes estimates of harvest for each state in differing years. The purpose of this updating method is to bring each state-level estimate up to a common current year. For each state, each of several components of harvest is updated to the current year. Estimate outputs are based on inputs from established models such as Timber Cut (TCUT) and historical wood products production data collected and compiled by the Forest Inventory and Analysis (FIA) program and the U.S. Forest Service Forest Products Laboratory. Because annual harvest data by state are not generally available for each year, the development of this indexing procedure based on national- and state-level primary product production data is needed to update U.S. annual timber harvest by state and region. This procedure is also needed for reporting annual harvest statistics and forecasts to the United Nations Economic Commission for Europe (UNECE) and the Food and Agriculture Organization (FAO). This paper reports the results in the development of historical and projected estimates of timber harvest. This new system of harvest estimation and index development is termed the harvest estimation system.
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CitationHoward, James L.; Quevedo, Enrique; Kramp, Andrew. 2009. Use of indexing to update United States annual timber harvest by state. Research Paper FPL-RP-653. Madison, WI: U.S. Department of Agriculture, Forest Service, Forest Products Laboratory. 30 p.
KeywordsTimber harvest index, forest products, FIA, FPL, logging, United States, statistics, estimates, indexing
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