Sürdürülebilir Kalkınma Amaçları
Yayınlar
- MakaleAçık Erişim2024Significance of Model Forest Stakeholders in the Management of Sustainable Forest Resources: The Case of Yalova Model Forest, Turkey
Bekiroğlu, Sultan; Özdemir, Mehmet; Özyürek, Ercan; Çakır, Günay
Success of model forests, which are organized to support sustainable management of forests in collaboration with environmental, social, and economic forces on forest-based large territories, depends on the development of civil society index dimensions defined as “stakeholder participation,” “organizational structure,” “environment,” “values,” and “impact.” In this study, which was carried out within the scope of Yalova Model Forest, situation analysis strengths, weaknesses, opportunities, and threats analysis was used as a method. Literature and official documents, expert opinions on “stakeholder engagement,” and data obtained through a 30-question survey were used as material. In this study, “historical development,”“legal regulations,” “activities” of Yalova Model Forest and weaknesses, strengths, opportunities, threats of civil society index and strategies pertaining to them were determined. Strengths, weaknesses, opportunities, and threats analysis was conducted by forming four separate focus groups for four dimensions of the Yalova Model Forest civil society index. According to the results of this study, the stakeholder participation dimension was concluded to be exceedingly inadequate. This is evidenced by advocate stakeholders’ insufficient participation rates in activities, absence of adverse stakeholders in this reconciliation platform, and the fact that 99% of dormant–indifferent stakeholders are unaware of this organization’s existence. Therefore, stakeholder participation dimension should be strengthened and the strategic plans that will be implemented should be prepared with the participation of stakeholders. Otherwise, Yalova Model Forest’s existence, as a civil society organization, will be jeopardized. However, active advocate stakeholders’ enthusiasm about resolving problems is reassuring for the future of Yalova Model Forest.
- MakaleAçık Erişim2023Modelling some stand parameters using Landsat 8 OLI and Sentinel-2 satellite images by machine learning techniques: a case study in Türkiye
Bulut, Sinan; Günlü, Alkan; Çakır, Günay
Remote sensing technologies have been extensively used in forest management in predicting stand parameters. The goal of this study is to use Landsat 8 and Sentinel-2 satellite images to estimate stand volume, basal area, number of trees, mean diameter, and top height. 180 temporary sample plots were taken in pure Crimean pine stands with varied structure. Reflectance, vegetation indices, and eight texture values were generated from Landsat 8 and Sentinel-2 satellite images. The stand parameters were modelled with the remotely sensed data using multiple linear regression, support vector machine, and deep learning techniques. The results showed that the support vector machine technique provided the highest level of model performance with 45° orientation for number of trees (R2 = 0.98, RMSE%=5.97) and 90° orientation for basal area (R2=0.91, RMSE%=15.22). The results indicated that the texture values presented better results than the reflectance and the vegetation indices in estimating the stand parameters.
- MakaleYalnız künye2022Gümüşhane Üniversitesinin Dijital Dönüşüm ve Covid-19 Pandemisine İlişkin Çalışmalarının Değerlendirilmesi
Çam, Handan; Çakır, Günay; Zeybek, Halil İbrahim; Sipahi, Ferkan
Dünya, 2019 yılında ortaya çıkan ve 2020 yılı başında pandemiye dönüşen SARS-CoV virüs salgını ile mücadele etmeye başlamış ve salgın tüm yaşam biçimimizi etkilemiştir. Bu zorlu süreçte tüm insanlık bir arada savaş vermek zorunda kalmıştır. Salgından önce teknolojik gelişmeler ve çevresel kirlilikler hayatımızın her alanında etkili olmaya başlamışken, salgınla eğitimde de radikal değişiklikler olmuştur. Ülkemizde salgın öncesi az sayıda üniversite uzaktan eğitimde ön planda yer almıştır. Yükseköğretim Kurulu, pandemiden önce, üniversitelerde dijital teknoloji kullanımını yaygınlaştırma stratejisi ile geleceği görerek etkili bir adım atmış ve “Yükseköğrenimde Dijital Dönüşüm Projesi” başlatmıştır. Bilgi teknolojileri kullanımının yaygınlaşması, öğrenme tekniklerinin değişmesi, toplumsal istekler, öğrenen/öğreten profili ve son olarak pandemi, dijital dönüşümde etkili olmuştur. Dijital dönüşümün gerekliliği, pandemi döneminde daha belirgin şekilde anlaşılmıştır ve yaşanılan zorluklar, toplumlarda farklı eğilimlerin daha hızlı benimsenmesine neden olmuştur. Gümüşhane Üniversitesi de Yükseköğretim Kurulu’nun 2018 yılında başlattığı Dijital Dönüşüm Projesi’ne ikinci aşamada dahil olmuştur. Bu çalışmanın ana amacı da Gümüşhane Üniversitesinin COVID-19 pandemisi dönemindeki dijital dönüşüm ve pandemi odaklı çalışmaların bir kısmını değerlendirmektir. Sonuç olarak, Gümüşhane Üniversitesinin pandemi süreci boyunca oldukça başarılı faaliyetler yürütmüş ve dijitalleşmeyi eğitimin her alanına yaymak adına önemli çabalar sarf etmiştir.
- MakaleAçık Erişim2021The Impact of Recreational Use on Land Cover at Uludağ National Park (Turkey)
Uzun, Serir; Çakır, Günay; Yıldız, Oktay; Aksoy, Necmi; Sargıncı, Murat; Toprak, Bülent; Müderrisoğlu, Haldun
The intense pressure resulting from population growth and urbanization along with technology has created the need for utilizing natural areas for tourism and recreational purposes and has necessitated the protection, development, and planning of natural resources for people to benefit from. Due to the importance of determining temporal changes within the framework of the protection-use balance, this study examined the changes occurring within the recreational areas of the Uludağ National Park between the years 1970 and 2010 from human use. As a result of the recreational facilities offered to visitors, an average of 550 000 people benefits annually from the area, which was designated as a national park in 1961. The study included the camping and picnic sites of Sarıalan, Çobankaya, Kirazlıyayla, and Karabelen situated within the park and the ski site of the first development zone. High-resolution satellite images and aerial photographs of the areas at different dates were employed. The temporal changes in the selected areas were analyzed by digital image processing with the help of the geographic information system. Upon examining the impact of the recreational use changes occurring on the land cover, it was revealed that building areas had increased by 15 ha (2.57%), road areas by 21 ha (7.89%), and bare land areas by 67 ha (.53%), while the meadowland areas had decreased by 223 ha (119.37%). The forested areas had increased by 78 ha (48.93%), woodland areas by 79 ha (59.37%) and were not adversely affected, mainly due to the protection status of the park.