Anomalous diameter distribution shifts estimated from FIA inventories through time
Author(s) -
Francis A. Roesch,
Paul C. Van Deusen
Publication year - 2010
Publication title -
forestry an international journal of forest research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.747
H-Index - 63
eISSN - 1464-3626
pISSN - 0015-752X
DOI - 10.1093/forestry/cpq009
Subject(s) - sampling (signal processing) , forest inventory , distribution (mathematics) , statistics , tree (set theory) , environmental science , physical geography , resource (disambiguation) , hydrology (agriculture) , mathematics , geography , forest management , geology , computer science , agroforestry , combinatorics , mathematical analysis , computer network , filter (signal processing) , computer vision , geotechnical engineering
Summary In the past decade, the United States Department of Agriculture Forest Service's Forest Inventory and Analysis Program (FIA) has replaced regionally autonomous, periodic, state-wide forest inventories using various probability proportional to tree size sampling designs with a nationally consistent annual forest inventory design utilizing systematically spaced clusters of fixed- area plots. This has resulted in significant changes in the spatial-temporal distribution of observations on the nation's forest resource. This paper discusses the resulting changes in the observation of the distribution of tree diameters measured at 1.37 m above ground level. We show that in three of the four FIA regions, a significant portion of the upper end of the diameter distribution has thus far gone unobserved by the new inventory design. We conclude that the reason is not that the larger diameter trees have become less common but rather that there is a low enough probability of observing these trees that they are not being observed. This postulate is supported by the observation that large-diameter trees are not missing from the data acquired by the fourth FIA region (the Pacific Northwest), which uses an additional sampling mechanism for large-diameter trees. We explore the implications of this effect in addition to potential solutions.
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