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Öğe Distribution of rose hip (Rosa caninaL.) under current and future climate conditions(Springer Heidelberg, 2020) Arslan, E. Seda; Akyol, Ayhan; Orucu, Omer K.; Sarıkaya, Ayşe GülThis study aims to model the potential distribution areas of the speciesRosa canina L.(rose hip) and to predict and analyse possible future changes in its distribution under given climate change scenarios. Nineteen bioclimatic variables from the WorldClim database were applied to 180 known species presence locations and the potential distribution area of the species under current conditions was identified using MaxEnt. To determine the future geographical distribution of the species under the impact of climate change, the Community Climate System Model (CCSM ver. 4) was used. The climate change scenarios were taken from the Representative Concentration Pathway (RCP) 4.5 and RCP 8.5 scenarios for 2050 and 2070 developed in line with the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. In addition, change analysis was carried out to identify the precise differences of area and location between the current and future potential distributions of the species, specifying habitat gains, habitat losses and stable habitats. Finally, a jackknife test was carried out to determine which individual bioclimatic variables affect the geographical distribution of the species the most. The study found that areas totalling 170,596 km(2)are currently 'highly suitable' forRosa caninaL., but that this area will contract to 114,474 km(2)by 2070 in the RCP 4.5 scenario and to 41,146 km(2)by 2070 in the RCP 8.5 scenario. The mean temperature of the wettest quarter was the most influential bioclimatic variable affecting the distribution of the species.Öğe Predicting of the current and future geographical distribution of Laurus nobilis L. under the effects of climate change(Springer, 2023) Akyol, Ayhan; Orucu, Omer K.; Arslan, E. Seda; Sarikaya, Ayse GulToday, climate change affects all living things on earth. It also leads to serious losses in terms of biodiversity, ecosystem services, and human welfare. In this context, Laurus nobilis L. is a very important species for Turkey, and the Mediterranean countries. This research aimed to simulate the current distribution of the suitable habitat for L. nobilis in Turkey and to predict its possible range shifts in future climate scenarios. To predict the geographical distribution of L. nobilis, the study used the maximum-entropy algorithm-based MaxEnt 3.4.1 with seven bioclimatic variables created using the Community Climate System Model 4.0 (CCSM4) and the prediction models RCP4.5-8.5 for the years 2050-2070. The results indicated that the most important bioclimatic variables that shape the distribution of L. nobilis are BIO11-mean temperature of coldest quarter, and BIO7-annual temperature range. Two climate change scenarios predicted that the geographical distribution of L. nobilis would increase slightly and then decrease in the future. However, the spatial change analysis showed that the general geographical distribution area of L. nobilis did not change significantly, but the moderate, high, and very high suitable habitats changed towards low suitable habitats. These changes were particularly effective in Turkey's Mediterranean region, which shows that climate change is instrumental in determining the future of the Mediterranean ecosystem. Therefore, suitability mapping and change analysis of potential future bioclimatic habitats can help in planning for land use, conservation, and ecological restoration of L. nobilis.












