Spatiotemporal changes of land use patterns in high mountain areas of Northeast Turkey a case study in Maçka
Yazarlar (3)
Prof. Dr. Gökhan ŞEN Kastamonu Üniversitesi, Türkiye
Mahmut M. Bayramoglu
Karadeniz Technical University, Türkiye
Karadeniz Technical University, Türkiye
Prof. Dr. Devlet Toksoy Karadeniz Technical University, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Environmental Monitoring and Assessment | ||
| Dergi ISSN | 0167-6369 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | Ingilizce | Basım Tarihi | 08-2015 |
| Kabul Tarihi | – | Yayınlanma Tarihi | 24-07-2015 |
| Cilt / Sayı / Sayfa | 187 / 8 / 515–529 | DOI | 10.1007/s10661-015-4727-8 |
| Makale Linki | http://link.springer.com/10.1007/s10661-015-4727-8 | ||
| UAK Araştırma Alanları |
Ormancılık Politikası, Ekonomisi ve Hukuku
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| Özet |
| High mountain forests (HMFs) have an important significance in forest ecosystems, but the benefits from such ecosystems have been compromised in recent years. In Turkey, HMFs constitute significant portions of Turkish forests because they cover 4 % of Turkey; 15 % of all Turkish forest areas are HMFs. The Eastern Black Sea region has a particular importance for HMFs due to its biological diversity and the rich presence of endemic species. This study analyzes the changes in spatial and temporal patterns of forest cover in HMF from 1973 to 2008 in the town of Maçka, which is located at the center of the Eastern Black Sea region of Turkey. The spatial and temporal change patterns of land use are quantified by interpreting spatial data. Remote sensing (RS), geographical information system (GIS), and a spatial pattern analysis program for categorical maps (FRAGSTATS) have been used for data collection … |
| Anahtar Kelimeler |
| FRAGSTATS | Geographic information system | Land use/cover | Maçka | Spatiotemporal analysis | Turkey |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 17 |
| Scopus | 18 |
| Google Scholar | 28 |