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RIJEČ UREDNIŠTVA |
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Uredništvo HŠD-a | |
At the end of 2024.
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529 |
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IZVORNI ZNANSTVENI ČLANCI |
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Dženita Alibegić, Esmera Kajtaz, Haris Nikšić, Željko Španjol, Boris Dorbić | UDKps://doi.org/10.31298/sl.148.11-12.1 |
Variations in the phenolic content and antioxidant activity of fresh and dried rosemary leaves (Rosmarinus officinalis L.) with regard to provenance – the area of Mostar, Bosnia and Herzegovina
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531 |
Özdemir Şentürk | UDKps://doi.org/10.31298/sl.148.11-12.2 |
Niche based distribution modelling and mapping of Brutian pine in the Gölhisar district
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541 |
Tolga Ozturk, Ebru Bilici, Muhittin Inan, Batin Mehmet Yer | UDKps://doi.org/10.31298/sl.148.11-12.3 |
Examining the changes in the amounts of PM2.5, PM10 and CO2 in the environment in debarking operations
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555 |
Mehmet Güvenç NegIz, Og˘uzhan ErfIdan | UDKps://doi.org/10.31298/sl.148.11-12.4 |
Vegetation-environment relationships in the Akdag˘ (Burdur) region
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565 |
In this study, the distribution of woody vegetation and the characteristics of the growing environment in the Akdag (Burdur) region were determined, and forest site classification was established. Fieldwork was conducted on 85 sample plots, and 65 woody plant species were identified. Species with a frequency value below 5% in the vegetation data matrix were excluded and 56 species were included in the analysis. Additionally, environmental variables for each sample plot were obtained. Vegetation groups were obtained through clustering and two-way indicator species analysis methods during the vegetation classification stage. Subsequently, the most suitable discriminating group was identified using the multiple response permutation procedure (MRPP). It was observed that the clustering analysis based on Jaccard-Ward’s method yielded the most suitable discriminating group. Furthermore, positive and negative indicator species were identified through indicator species analysis. Spearman correlation analysis between the best discriminating group and environmental variables revealed that elevation, temperature index, and solar radiation index variables exhibited a positive relationship, while parent material, Bio1 and Bio15 variables showed a negative relationship. Similar results were obtained in canonical correspondence analysis (CCA) applied to interpret the relationships obtained through correlation analysis using ordination methods. According to CCA, elevation was positively associated with plant distributions and vegetation groups, while Bio1 and Bio15 variables were negatively associated. Keywords: woody vegetation, forest site classification, Akdag region, elevation
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PREGLEDNI ČLANCI |
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Musheerul Hassan, Muhammad Mohsin, Ivana Vitasović-Kosić, Uzma Naser, Shabir Ahmad Bhat, Shabir Ahmad Zargar | UDKps://doi.org/10.31298/sl.148.11-12.5 |
The effects of climate change: an overview of the ecological and economic consequences
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577 |