C.J. CIESZEWSKI, R.L. BAILEY, B.E. BORDERS, G.H. BRISTER and B.D. SHIVER

In Hansen, M. and T. Burk.  Proceedings of  "An International Conference on the Inventory and Monitoring of Forested Ecosystems", Integrated Tools for Natural Resources Inventories in the 21st Century. August 16-20, 1998, Boise Centre on the Grove, Boise, Idaho, USA.   

Abstract:

One of the most important functions of forest inventory is to facilitate management decisions towards forest sustainability based on inventory projections into the future; and therefore, most forest inventories are used for predicting future states of the forests. In modern forestry the most common methods used in inventory projections are based on implicit functions describing time and site dependent relationships derived from panel data. The essence of the implicit functions used for inventory projections is that each function is defined by its own value at one point in time—usually at the inventory time—called the initial conditions or reference values. For this reasons these functions are also called self-referencing and initial conditions are obtained from sampling, measurements, re-measurements or other type of inventories. Classic examples of such functions, though not exclusive, are the site index models. Those can have different algebraic forms using fixed or variable base-ages and be base-age invariant or base-age variant. We explain the implications of different algebraic forms of the self-referencing models that can be used for inventory projections and discuss the forestry literature entertaining base-age variant models under the base-age invariance agenda.

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Addresses:
Cieszewski CJ, Univ Georgia, Sch Forest Resources, Athens, GA 30602 USA
Univ Georgia, Sch Forest Resources, Athens, GA 30602 USA

D. Warnell School of Forest Resources, The University of Georgia, Athens, Georgia 30602, USA Phone: (706) 542-8169

Publisher:
Boise Centre on the Grove, Boise, Idaho, USA.   

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