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Prediction of Land Use and Land Cover Changes from 2018 to 2042 Using CA-Markov: A Case Study from Türkiye

Cilt: 25 Sayı: 1 26 Mart 2025
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Prediction of Land Use and Land Cover Changes from 2018 to 2042 Using CA-Markov: A Case Study from Türkiye

Öz

Aim of study: To determine the potential changes that may occur in land use classes in Akyazı Forest Enterprise for 2030 and 2042. Area of study: Akyazı Forest Enterprise was selected as the study area. Material and method: In this study, the Coordination of Information on the Environment (CORINE) land use land cover (LULC) datasets for the years 2006, 2012 and 2018 were used. The Markov model derived transition area and transition probability matrices (TPM) for 2018 based on the LULC maps derived from CORINE for 2006 and 2012. These matrices were used to predict LULC classes in 2018 through a 10-year simulation using the CA-Markov module. Main results: A comparison was made between the projected LULC classes map and the land use class map derived from the 2018 CORINE data, and a similarity rate of 91.1% was found. For the 24 years from 2018 to 2042, the total forest area is predicted to increase by 3.8% or 581.5 ha. Research highlights: The forecasted outcomes acquired for the future can aid in developing revised forest management strategies, particularly in ensuring the long-term viability of forest ecosystems.

Anahtar Kelimeler

Forest Management, Sustainability, Simulation, Change Detection, Türkiye

Kaynakça

  1. Abdelkarim, A. (2023). Monitoring and forecasting of land use/ land cover (LULC) in Al-Hassa Oasis, Saudi Arabia based on the integration of the Cellular Automata (CA) and the Cellular Automata-Markov Model (CA-Markov). Geology, Ecology, and Landscapes, https://doi.org/10.1080/24749508.2022.2163741
  2. Agudelo-Hz, W. J., Castillo-Barrera, N. C. & Uriel, M. G. (2023). Scenarios of land use and land cover change in the Colombian Amazon to evaluate alternative post-conflict pathways. Scientific Reports, 13(1), 2152.
  3. Ahmad, F., Goparaju, L. & Qayum, A. (2017). LULC analysis of urban spaces using Markov chain predictive model at Ranchi in India. Spatial Information Research, 25(3), 351-359.
  4. Aksoy, H. & Kaptan, S. (2021). Monitoring of land use/land cover changes using GIS and CA-Markov modeling techniques: A study in Northern Turkey. Environmental monitoring and assessment, 193(8), 507.
  5. Aksoy, H. & Kaptan, S. (2022). Simulation of future forest and land use/cover changes (2019–2039) using the cellular automata-Markov model. Geocarto International, 37(4), 1183-1202.
  6. Aksoy, H., Kaptan, S., Varol, T., Cetin, M. & Ozel, H. B. (2022). Exploring land use/land cover change by using density analysis method in yenice. International Journal of Environmental Science and Technology, 19(10), 10257-10274.
  7. Alan, İ., Demirörs, Z., Bayar, R. & Karabacak, K. (2020). Markov Chains based land cover estimation model development: The case of Ankara Province. lnternational Journal of Geography and Geography Education, (42), 650-667.
  8. Alkan, S. (2014). Kırsal nüfus değişiminin, ormanlar ve ormancılık üzerine etkileri (Trabzon ili örneği). Kastamonu University Journal of Forestry Faculty, 14(1), 69-78.
  9. Amini Parsa, V., Yavari, A. & Nejadi, A. (2016). Spatio-temporal analysis of land use/land cover pattern changes in Arasbaran Biosphere Reserve: Iran. Modeling earth systems and environment, (2), 1-13.
  10. Aneesha Satya, B., Shashi, M. & Deva, P. (2020). Future land use land cover scenario simulation using open-source GIS for the city of Warangal, Telangana, India. Applied Geomatics, (12), 281-290.

Kaynak Göster

APA
Günlü, A., Sivrikaya, F., & Ünal, H. E. (2025). Prediction of Land Use and Land Cover Changes from 2018 to 2042 Using CA-Markov: A Case Study from Türkiye. Kastamonu University Journal of Forestry Faculty, 25(1), 34-52. https://doi.org/10.17475/kastorman.1660540
AMA
1.Günlü A, Sivrikaya F, Ünal HE. Prediction of Land Use and Land Cover Changes from 2018 to 2042 Using CA-Markov: A Case Study from Türkiye. Kastamonu University Journal of Forestry Faculty. 2025;25(1):34-52. doi:10.17475/kastorman.1660540
Chicago
Günlü, Alkan, Fatih Sivrikaya, ve Hasan Emre Ünal. 2025. “Prediction of Land Use and Land Cover Changes from 2018 to 2042 Using CA-Markov: A Case Study from Türkiye”. Kastamonu University Journal of Forestry Faculty 25 (1): 34-52. https://doi.org/10.17475/kastorman.1660540.
EndNote
Günlü A, Sivrikaya F, Ünal HE (01 Mart 2025) Prediction of Land Use and Land Cover Changes from 2018 to 2042 Using CA-Markov: A Case Study from Türkiye. Kastamonu University Journal of Forestry Faculty 25 1 34–52.
IEEE
[1]A. Günlü, F. Sivrikaya, ve H. E. Ünal, “Prediction of Land Use and Land Cover Changes from 2018 to 2042 Using CA-Markov: A Case Study from Türkiye”, Kastamonu University Journal of Forestry Faculty, c. 25, sy 1, ss. 34–52, Mar. 2025, doi: 10.17475/kastorman.1660540.
ISNAD
Günlü, Alkan - Sivrikaya, Fatih - Ünal, Hasan Emre. “Prediction of Land Use and Land Cover Changes from 2018 to 2042 Using CA-Markov: A Case Study from Türkiye”. Kastamonu University Journal of Forestry Faculty 25/1 (01 Mart 2025): 34-52. https://doi.org/10.17475/kastorman.1660540.
JAMA
1.Günlü A, Sivrikaya F, Ünal HE. Prediction of Land Use and Land Cover Changes from 2018 to 2042 Using CA-Markov: A Case Study from Türkiye. Kastamonu University Journal of Forestry Faculty. 2025;25:34–52.
MLA
Günlü, Alkan, vd. “Prediction of Land Use and Land Cover Changes from 2018 to 2042 Using CA-Markov: A Case Study from Türkiye”. Kastamonu University Journal of Forestry Faculty, c. 25, sy 1, Mart 2025, ss. 34-52, doi:10.17475/kastorman.1660540.
Vancouver
1.Alkan Günlü, Fatih Sivrikaya, Hasan Emre Ünal. Prediction of Land Use and Land Cover Changes from 2018 to 2042 Using CA-Markov: A Case Study from Türkiye. Kastamonu University Journal of Forestry Faculty. 01 Mart 2025;25(1):34-52. doi:10.17475/kastorman.1660540