Akademik Veri Yönetim Sistemi
Conference on Collecting and Analyzing Information for Sustainable Forest Management and Biodiversity Monitoring, Palermo, İtalya, 01 Aralık 2001, cilt.76, ss.375-394, (Tam Metin Bildiri)
A national forest policy requires a solid information base on forests for three reasons. First, to fulfils international standards for the monitoring of forests, especially for carbon storage and biodiversity (Helsinki criteria, Kyoto protocol); second, to identify areas that require political action, including monitoring of the success of measures taken; and third, to provide a sound and reliable information base for private decision-makers about the expected wood supply. Presently, the Turkish national forest service is launching an initiative towards a national forest inventory (NFI) initiated by Prof Asan, University of Istanbul. During an exchange programme, some initial considerations for an NFI system an NFI were worked up and will be presented in this paper. These initial considerations focus on sampling design, the use of remote sensing and the use of the available information on Turkish forests. First, an over-view on the present inventory methods on the forest management level will be given in order to analyse (i) our present knowledge and deficiencies of the information on Turkish forests and (ii) what use could be made of this information in the framework of a National Forest Inventory concept. Furthermore, natural conditions and the possibility of using remote sensing will be analysed. Initial concepts to use the regional forest maps (generalised maps in the scale 1: 100,000, based on maps from forest management inventories) and remote sensing will be presented. The regional forest maps and mapping based on remote sensing using optical high-resolution satellite data (TM/SPOT/IRS1/ASTER) are to be used with the statistical pre-stratification method to enable different sampling densities and identify non-forest sampling plots. A forest map based on remote sensing is included in the concept to supplement the statistical information. The use of very high-resolution satellite data (e.g. IKONOS) will be discussed. Finally, open questions for preparatory studies will be identified.