Table of contents
Creative contributions other than formal publications
E.6bNo.	E.6bAuthor(s)	E.6bYear	E.6bTitle	E.6bCitationText	E.6bIdentifierNote	E.6bComment
No.	Author(s)	Year	Title	Citation text	Identifier Note	Comment
	PT-3b	PT-3b	PT-3b	PT-3b	PT-3b
1	C.J. Cieszewski	2002	Developed interactive maps on the WWW that allow for quick and efficient acquisition of information on the inventory information in Georgia on county, development and physiographic regions, and FIA unit, levels (http://growthandyield.com/main/maps.htm ).
2	Bitterlich, W., C.J. Cieszewski, K. Iles, D. Marshall.  Film interviewing prof. W. Bitterlich in Salzburg, Austria.	2001	Touching the History of Variable Plot Sampling.	Film interviewing prof. W. Bitterlich in Salzburg, Austria.
3	C.J. Cieszewski	2001	Developed improved FIA mirrors for efficient acquisition of forest growth statistics in the Southeast on county, state, and FIA unit levels on the http://www.growthandyield.com/fiamirror/SE/www.srsfia.usfs.msstate.edu/fia.htm
4	C.J. Cieszewski	1997-2000	Invented and published the Generalized Algebraic Difference Approach: a breakthrough technology for theory based derivation of extremely flexible implicitly defined difference equations used for forest inventory projections.  This approach is based on a new analytical framework for rigorous algebraic derivation of the inventory projection models in forestry and derivation of another models based on the concept of unobservable variables and stochastic regression analysis.
5	C.J. Cieszewski	1997-2000	Derived the site index solution to the generalized log-logistic site equation that was previously considered unsolvable for site index.  The solution became possible through linking the Ramanujan's real-exponent trinomial solution with the forestry applications of the log-logistic site equation.
6	C.J. Cieszewski	1997-2000	Developed several new methodologies of dynamic equation derivations.
7	C.J. Cieszewski	1997-2000	Invented several new generic dynamic equations for inventory projections.
8	C.J. Cieszewski	1997-2000	Developed a statistical framework of non-nested and nested nonlinear mixed effects model analysis to investigate differences between growth responses in various silvicultural treatments in management regimes evaluation for the PMRC and CAPPS studies.
9	C.J. Cieszewski	1997-2000	Developed new biomass expansion factors for the US inventory data for estimating status and trend of forest biomass-carbon densities.
10	C.J. Cieszewski	1995	Derived a generic statistical framework for error analysis and error propagation simulation in assessing the carbon dynamics of forest ecosystems at country to regional scales for several major boreal, temperate, and tropical countries for all components of national-scale terrestrial C budgets.
11	C.J. Cieszewski	1994	Formulated a new concept of an extremely flexible ageless height growth modeling, in which a future height can be predicted as a function of only a height growth increment in any time, and the height at which the increment is measured.  This approach gives a new dimension to height growth modeling and in theory such a model constitutes a general height growth modeling platform unifying all previously existing height growth models whether they be based on total ages or breast height ages, and whether they use site indexes of different base ages, or any length growth intercepts.  Every one of those traditional models is just a special case of the proposed general model corresponding to the limiting values of its independent variables.
12	C.J. Cieszewski	1993	Extended the Czarnowski's stand dynamics theory into a first dynamic density height growth model, that is capable of predicting lodgepole pine height growth as a function of its current height, age, and stand density.
13	C.J. Cieszewski	1992	Developed two new alternative approaches to calibration of self-referencing functions by 1) dynamically computing average predictions of the referencing points within the nonlinear regression iterations; and 2) using a varying parameter approach to estimate the site parameters individually for each series while simultaneously estimating the global parameters of the general model.
14	C.J. Cieszewski	1990	invented the most flexible and advanced methodology for derivation of base-age invariant polymorphic height growth models with variable asymptotes and biological bases (unpublished at that time).  A number of new base-age invariant height growth models still to be published have been derived using this methodology.
15	C.J. Cieszewski	1989	formulated the first in the world defined for all ages base-age invariant polymorphic height growth model having variable asymptotes.
16	C.J. Cieszewski	1987	Designed a biologically based managed stand growth model framework that to be used for development of growth and yield prediction systems based on scant data.