Özet:

Modeling the niches and distribution of species using machine learning technology has become one of the effective tools of protection planning today. Analysis of how the original species of our country will be affected by climate change is of great importance for the future use of these species in planting studies. Through the pointal data that represent the fields in which species exist and the layers created using the numberal bioclimate data of these fields, the existing and future potential spread areas of the species can be identified according to different climate scenarios by the MaxEnt program. In this study, landscape architecture is important in terms of professional discipline, the Phoenix theophrasti Gr. showing its natural spread in our country and in the Grit Island. It is intended to determine the potential spread area of the hurma species and how it will be affected by climate change. The presence data (presence data) and the WorldClim database provide about 1 km2 (30 arc seconds) resolution of the bioclimate layers are cut within the defined limits and processed by the Maximum Entropi algorithm has determined the potential spread area in the current conditions of the species. Also to determine how the species’ spread area will be affected by climate change. Based on the IPCC report, the CCSM version 4 (The Community Climate System Model) climate change scenario has modeled the potential spread area of the species in 2050 and 2070 according to RCP 4.5 and RCP 8.5. The study was conducted by the Phoenix theophrasti Gr. The appropriate areas as the current spread area are 8,248 km2 and the very suitable areas are 23,330 km2, and the total area is 31,578 km2. According to the CCSM4 climate change scenario, there will be future loss in the potential spread areas of the species.

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