To the methods for actualization of main stands parameters of hardwood tree species of Ukraine
DOI:
https://doi.org/10.31548/forest2020.03.001Abstract
Continuous forest inventory, as one of the methods of forest management of the country, in contrast to the basic inventory, has a number of advantages, which primarily provide the opportunity to obtain the most complete and reliable information about the current state of the forest, as it provides annual updates of main stands parameters of forest found on Ukraine. Hardwood tree species (oak, ash, beech, hornbeam, etc.) occupy a special place among all that grow in Ukraine and occupy almost 44 % of the forest area covered with forest vegetation. According to the latest state forest inventory as of 01.01.2011, hardwood tree species are dominated by oak stands - 62.6 % of the area of all hardwood tree species, forest beech - 20.2 %, hornbeam - 3.2 % and ash ordinary, forming mainly mixed stands with oak. A systematic approach to the effective solution of the problem of continuous forest inventory requires the development of objective methods and mathematical models for updating the main stands parameters of forests. In Ukraine, for actualization main stands parameters, two methods have been developed to forecast their growth. The first is based on modeling the percentage of current increment by average height and wood stock, the second - on the developed dynamic site index curves and yield tables for modal stands. The aim of the work is to improve the methodological approaches to modeling the growth prognosis of the main stands parameters by the second method. To achieve these goals used the method of nonlinear regression using IBM SPSS Statistics. As a result of the conducted researches it was offered to model a new unified ratio of the stands parameter a year ahead to the same stands parameter now multiplied by the age of the stand to model the growth prognosis for all stands parameters. This made it possible during the simulation to describe the changes in growth by the main stands parameters with almost absolute accuracy (the coefficient of determination of the obtained models is 1.0). The equation obtained for growth prognosis has the same form for stands of all tree species, of different origin, composition and site index classes.
Key words: growth prognosis, mathematical models, modal stands, origin of stands, nonlinear regression.
References
Bala, O. P. (2016). Current state and productivity of ash stands in Ukraine. Scientific bulletin of NULES of Ukraine, series "Forestry and park gardening", 255, 11-18 [in Ukrainian].
Bala, O. P. (2019). Modeling of growth and productivity of hardwood stands species of Ukraine. Kyiv : Komprint. [in Ukrainian].
Catalog of application software focused on the processing of forest inventory information by means of a PC class IBM PC (Development of the algorithmization and programming party 1994-2000). (2000). K : State Forestry Committee of Ukraine [in Ukrainian].
Handbook of the forest fund of Ukraine (according to the materials of the state forest inventory as of 01.01.2011) (2012). Irpin [in Ukrainian].
Hirs, O. A., Novak, B. I. & Kashpor, S. M. (2004). Forest inventory. Textbook. Kyiv : Aristei [in Ukrainian].
Lakyda, P. I. & Bala, O. P. (2012). Actualization of growth parameters of artificial Oak stands of Forest-Steppe of Ukraine's. Korsun-Shevchenkivskyi: FOP Havryshenko V. M. [in Ukrainian].
Lakyda, P. I., Oborska, A. E., Blyshchyk, I. V. & Smolin, V. O. (2020). Prognosis of growth dynamic of alder modal stands of Western Polissya of Ukraine. Korsun-Shevchenkivskyi: FOP Maydachenko I.S. [in Ukrainian].
Lakyda, P. I., Terentiev, A. Yu., & Vasylyshyn, R. D. (2012). Scots pine stands of artificial origin in Ukrainian Polissya - growth and productivity forecast. Korsun-Shevchenkivskyi: FOP Maydachenko I.S. [in Ukrainian].
Lakyda, P. I. & Aleksiiuk, I. L. (2017). Natural pine forest stands of Ukrainian Polissya: growth and productivity forecast. Korsun-Shevchenkivskyi: FOP Maydachenko I.S. [in Ukrainian].
Lakyda, P. I. & Atamanchuk, R. V. (2014). Forecast and productivity of modal birch stands in Ukrainian Polissya. Korsun-Shevchenkivskyi : FOP Havryshenko V. M. [in Ukrainian].
Lakyda, P. I. & Volodymyrenko, V. M. (2008). Artificial spruce stands of the Ukrainian Carpathians - growth and productivity forecast. Кyiv : ESC ІАЕ [in Ukrainian].
Shvets, M. I. (1997). The transition of domestic forest management to the technology of continuous forest inventory. Materials of the international conference "Forestry science and education: status and prospects for development", 250-252 [in Ukrainian].
Strochinskiy, A. A. (1992). Methodological and normative-informational support of the system of regulation of the productivity of forest plantations in Ukraine (Abstract of doctor of sciences dissertation, Ukrainian Academy of Agriculture, Kiev, Ukraine) [in Russian].
Downloads
Published
Issue
Section
License
Relationship between right holders and users shall be governed by the terms of the license Creative Commons Attribution – non-commercial – Distribution On Same Conditions 4.0 international (CC BY-NC-SA 4.0):https://creativecommons.org/licenses/by-nc-sa/4.0/deed.uk
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
