Analysis of Land Use/Land Cover Changes and Prediction of Future Changes With Land Change Modeler: Case of Belek, Turkey
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Date
2023
Authors
Akdeniz, Halil Burak
Serdaroğlu Sağ, Neslihan
İnam, Şaban
Journal Title
Journal ISSN
Volume Title
Publisher
Springer
Open Access Color
HYBRID
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
In the areas declared to be a tourism center by state planning, a rapid tourism-related development occurs depending on the investments in tourism, which causes a dramatic land use/land cover (LULC) change. Determining, monitoring, and modeling of LULC changes are required in order to ensure the conservation-use balance and sustainability within such vulnerable areas that are under development pressure. This study consists of four steps. In the first step, the Landsat images dated 1985, 2000, 2010, and 2021 were classified using the maximum likelihood method and the LULC of Belek Tourism Center located in Turkey were determined. The second step included the identification of areal and spatial changes between the LULC classes for the four periods. In the third step, the LULC changes in Belek Tourism Center for 2040 were modeled using the land change modeler. Last step evaluated the relationship between the modeled spatial development pattern and the current planning decisions. According to the results obtained during 36 years, the rates of built-up, forest, and water body areas have increased by 11.91%, 13.67%, and 0.82%, respectively, whereas the rates of barren land and agricultural areas have reduced by 22.25% and 4.15%, respectively. The LULC map modeled for 2040 predicts the built-up areas to expand by 8.25% and the agricultural areas to shrink by 5.42% by comparison with 2021. This study will contribute as a key measure for planners, policy-, and decision-makers to make decisions related to sustainable land use in the areas declared to be a tourism center.
Description
Keywords
Land use, land cover, Land Change Modeler, LULC modelling, Tourism center, Cellular-Automata, Urban-Growth, Markov-Chain, Neural-Networks, City, Gis, Dynamics, Forest, Fragmentation, Simulation, Conservation of Natural Resources, Turkey, Agriculture, Investments, Environmental Monitoring
Turkish CoHE Thesis Center URL
Fields of Science
01 natural sciences, 0105 earth and related environmental sciences
Citation
WoS Q
Q3
Scopus Q
Q2

OpenCitations Citation Count
18
Source
Environmental Monitoring and Assessment
Volume
195
Issue
1
Start Page
End Page
PlumX Metrics
Citations
Scopus : 26
PubMed : 1
Captures
Mendeley Readers : 122
SCOPUS™ Citations
26
checked on Feb 03, 2026
Web of Science™ Citations
26
checked on Feb 03, 2026
Google Scholar™

OpenAlex FWCI
3.96292825
Sustainable Development Goals
2
ZERO HUNGER

3
GOOD HEALTH AND WELL-BEING

7
AFFORDABLE AND CLEAN ENERGY

8
DECENT WORK AND ECONOMIC GROWTH

9
INDUSTRY, INNOVATION AND INFRASTRUCTURE

11
SUSTAINABLE CITIES AND COMMUNITIES

12
RESPONSIBLE CONSUMPTION AND PRODUCTION

13
CLIMATE ACTION

15
LIFE ON LAND

17
PARTNERSHIPS FOR THE GOALS


