ABSTRACTS ON WOOD TECHNOLOGY and
PROJECT PLANNING AND EVALUATION

11) A STUDY FOR POPLAR PLANTATION AREA INVENTORY USING REMOTE-SENSING TECHNIQUES IN THE ADAPAZARI AND DUZCE REGIONS OF TURKEY

Year/No: 2002/192                             ODC: 587.154 : 176.1 Populus 
Autors: ERCAN, M., ULUER, K., SELEK, F.

This study was implemented to investigate methodes of inventory for areas planted with poplar, using satellite data. It was carried out on the Adapazari and Duzce-plains, where there are extensive hybrid poplar plantations. Panchromatic and multispectral SPOT Xi images were used as satellite data. The images were taken on 21/6/2000. For each plain, one image (scene) was used. An image with 6 layers consisting of 4 original layers of Xi + IR/R + SQRT(IR/R) were used for classification. Poplar clones, such as I-77/51 (Populus deltoides known as "Samsun" in Turkey) and I-45/51 (P. x euramericana) can be distinguished from the most commonly grown I-214 (P. X euramericana) on images. So, poplar plantations were classified as ("I-214" and "other clones") on images. The study found that: I-214: occupied 6529 ha; and others clones: 340 ha on Adapazarı plain; I-214: occupied 3403 ha; and other clones 103 ha on Düzce plain.


12) GROWTH and YIELD of Pinus pinaster Ait. PLANTATIONS 

Year/No: 2003/195                             ODC: 532.3:524:541:547:551:564:566:613:174.7 Pinus 
Autors: GÜRSEL, B. Ö. 

Pinus pinaster Ait. is fast growing and promising species that be grown and expanded successfully in Turkey.
In the result of this study, it was
calculated site and yield table as examining internal stand relations of trees growing in different social classses, detailed.
Pinus pinaster Ait. is planted at Western Black Sea and Marmara Region generally. For that reason Western and Middle Black Sea reforestation area were choosen as study area.
In this study, two different methods were used. As the first method, yield table was made as using means of stand. Second method is simulation techniques that based on measurements of single tree.
65 temporary plots were taken in different places. 169 main trees using in simulation method were taken inside from these temporary plots. 103 plots that passed by normality control successfully were used in calculation of first method. 169 main trees using in simulation method were taken inside from 70 temporary plots. 

At the end of this study, site index table, yield table (for different sites) and tree volume table were calculated.
Simulation programme was written in BASIC computer programming language. Yield table was calculated as using output of simulation programme.
Yield tables that been calculated by two different methods were compared to each other.

 

ABSTRACTS