期刊名称：International Journal of Conservation Science
印刷版ISSN：2067-533X
电子版ISSN：2067-8223
出版年度：2017
卷号：8
期号：2
页码：303-316
出版社：Alexandru Ioan Cuza University of Iasi
摘要：Nowadays, the process of monitoring forested areas is a national requirement. The importance of forests in mitigating climate change is well known. On the other hand, the economic aspects of forest management are important too. From this point of view, inventorying and assessing the growth and yield rate of wooded areas is extremely important. Estimating growth rate per hectare unit and production level of forested areas in order to obtain and accurate inventory is important in determining the supply of wood. The present paper is based on the evaluation after 6 growing seasons. The sectors monitored are located along areas of relatively low elevation (280–450 m). The climatic gradient can also be neglected because of the character of the studied areas. The research was carried out in the southeastern part of Romania. The entire complex comprises 375 forested tracts. Only for white poplar we have included a set of 36 carefully selected forest sectors. The study’s timespan was between 2010 and 2015, and data from the field have been used. The case study presented is white poplar, and the methods used are shown in a comparative way. Technological factors like consistence, density, etc. were carefully evaluated on the basis of direct observations and measurements. The recorded data were subsequently validated. The computer analysis, used on different optimization methods, was selected from the most employed series in the dedicated literature. Our results indicated that: (1) the evaluations of the estimated growth rate of production can be vary significantly when employing different statistical analysis and numerical methods; (2) by using numerical optimization models, the computer simulations can provide accurate estimates of the growth rate and, hence, the efficiency for a given forest inventory; (3) common numerical interpolation methods or neural network uses that do not always give consistent results. The specific numerical methods are preferable for a better assessment of the growth rate and existing inventory; and (4) investments in computer simulation methods and software should be encouraged in order to successfully reach a permanent inventory, to improve the efficiency of the logging operations, and to support environmental protection.
