INGROWTH IMPUTATION IN EVEN-AGED PERMANENT SAMPLE PLOTS
Schlagwörter:
Missing data, truncation, forest growth and yield, data processing, tree measurements, R languageAbstract
In forest sample plots, it is common to measure only trees that are larger than some minimum size. This fact needs to be considered when using such truncated samples. I describe here a procedure for imputing the presence and sizes of the missing trees. Computer code is included.Literaturhinweise
Curtis, R. O., and D. D. Marshall, 2005. Permanent-plot procedures for silvicultural and yield research. Gen. Tech. Rep. PNW-GTR-634, U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, Portland, OR. 86 p.
Flewelling, J. W., 1981. Compatible estimates of basal area and basal area growth from remeasured point samples. Forest Science 27(1):191–203.
Garcia, O., 2011. A parsimonious dynamic stand model for interior spruce in British Columbia. Forest Science 57(4):265–280.
Garcia, O., 2013. Building a dynamic growth model for trembling aspen in western Canada without age data. Canadian Journal of Forest Research 43(3):256–265.
Garcia, O., 2017. Cohort aggregation modelling for complex forest stands: Spruce-aspen mixtures in British Columbia. Ecological Modelling 343:109–122.
Mcgarrigle, E., J. A. Kershaw, Jr, M. B. Lavigne, A. R. Weiskittel, and M. Ducey, 2011. Predicting the number of trees in small diameter classes using predictions from a two-parameter Weibull distribution. Forestry 84(4):431–439.
R Development Core Team, 2009. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0 (http://www. R-project.org).
Searle, E. B., and H. Y. Chen, 2017. Tree size thresholds produce biased estimates of forest biomass dynamics. Forest Ecology and Management 400:468–474.
Weiskittel, A. R., D. W. Hann, J. John A. Kershaw, and J. K. Vanclay, 2011. Forest Growth and Yield Modeling. Wiley-Blackwell. 430 p.
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