Estimating volume growth from successive double sampling for stratification

Author:

Fischer Christoph1,Saborowski Joachim2

Affiliation:

1. Department of Forest Growth, The Northwest German Forest Research Institute, Grätzelstraße 2, 37079 Göttingen, Germany.

2. Department of Ecoinformatics, Biometrics and Forest Growth and Department of Ecosystem Modelling, University of Göttingen, Büsgenweg 4, 37077 Göttingen, Germany.

Abstract

Volume growth is a key indicator in forest management and planning and, accordingly, an integral part of the estimation procedure of forest resources from sample based inventories. Growth estimation from successive double sampling for stratification (2SS) is somewhat challenging and has not been sufficiently addressed in the pertinent literature. Applying 2SS on successive occasions, with updated stratification on each occasion, may lead to fluctuation of sampling units among the strata and to a certain number of sample plots that have to be discarded or that have to be newly established on the second occasion, to obtain the required per-strata sampling proportions, which are stipulated in advance. After presenting a notation to implement growth estimation into 2SS standard formulas, the question of strata shifts and the occurrence of discarded and of new sample plots in the context of growth estimation is addressed. Although growth, unlike net change, can only be estimated from direct observations on remeasured sample plots, it was shown that ignoring discarded or new plots might lead to severely biased estimators. Modified estimators for mean growth and variances are provided and their application is illustrated using data from a repeated survey in a central German forest district.

Publisher

Canadian Science Publishing

Subject

Ecology,Forestry,Global and Planetary Change

Reference25 articles.

1. Quantifying the effect of persistent dryer climates on forest productivity and implications for forest planning: a case study in northern Germany

2. de Vries, P.G. 1986. Sampling theory for forest inventory. A Teach-Yourself Course. Springer, Berlin.

3. Gasparini, P., Tosi, V., and DiCosmo, L. 2010. Italy.InNational Forest Inventories. Pathways for common reporting.Edited byE. Tomppo, T. Gschwandter, M. Lawrence, and R.E. McRoberts. Springer, New York.

4. Estimation of forest growth from successive surveys

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