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Özet: Bu çalışma orman yetişme ortamlarında alfa tür çeşitliliğinin hesaplanması üzerine gerçekleştirilmiştir. Alfa tür çeşitliliği bir yöredeki biyolojik çeşitliliği ifade eden önemli bir bileşendir. Alfa tür çeşitliliğinin belirlenmesi ile bir yörenin bitki türleri için potansiyel yayılış alanlarını tespit etmek açısından değerli bilgiler elde edilebilmektedir. Çalışmamızda Burdur-Altınyayla yöresinden alınan 40 örnek alandaki bitki türlerinden yararlanarak alfa tür çeşitlilikleri hesaplanmıştır. Daha sonra alfa tür çeşitliliği ile çevresel değişkenler arasındaki ilişkiler korelasyon analizleri ile ortaya koyulmaya çalışılmıştır. Buradaki en dikkat çeken sonuç yükselti ile alfa çeşitliliği arasında pozitif yönde bir ilişkinin bulunmasıdır. Ayrıca çalışmada vejetasyon verileri ile çevresel değişkenler Eğrisel Uyum Analizi (DCA) ile incelenmiş, yükselti ve bakı ile pozitif yönde ilişkiler tespit edilirken yüzey taşlılığı ile bitki türleri arasında negatif bir ilişkinin olduğu belirlenmiştir. The Calculation of Alpha Species Diversity in Forest Growth Environment and TheirRelations with the Environmental Variables Keywords Alpha diversity, Correlation analysis, Environmental variables, Altınyayla regionAbstract: This study was carried out regarding the calculation of alpha species diversity in forest growth environment. The alpha species diversity is an important component which expresses biological diversity in a region. By determining the alpha species diversity, valuable information can be obtained in terms of identifying potential distribution area for plant species of a region. In our study, alpha species diversities were calculated from the plant species of 40 sample plots, which were taken from Burdur-Altınyayla region. Then, the relationships between environmental variables and alpha species diversity were tried to be found with the help of correlation analysis. The most notable result is that a positive correlation was found between the elevation and alpha species diversities. In addition, vegetation data and environmental variables were examined by Detrended Correspondence Analysis (DCA) ; and while positive relationships were found concerning vegetation and aspect; negative relationships were seen between stony surfaces and plant species.

This study was carried out to classify woody vegetation in Yenişarbademli forest areas. The vegetation classification is important to biological diversity conservation and sustainability. In the study, 103 sample plots 20 x 20 m size were taken for inventory. In the study area, woody plant species and environmental factors were recorded in the inventory. Cluster analysis and two way indicator species analysis (TWINSPAN) were performed to distinguish vegetation groups in the study. While cluster analysis and two way indicator species analysis were carried out, present/ absence values of plant species were used. By using the cluster analysis distinctions, a relationship analysis between qualities was also applied. Multi-response permutation procedures (MRPP) analysis was applied to the cluster analysis and TWINSPAN results to determine which groups would use the resulting analyzes. The results obtained from MRPP analysis showed that the best option was provided with TWINSPAN used five indicatory species. As a result of TWINSPAN used five indicatory species, THYSAM, CIRARV, BERVUL, JUNOXY and EUPSPP species were identified as discriminating species. The first group represented 51 and the second group represented 52 sample plots. Discriminating species were determined to be species located in high elevation of the study area. As a result of the analysis, the species in the first group is positive indicators while in the second group is negative indicators. As a result, elevation is the most important variable when discriminating species group and indicator species are identified.