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Projecting Agricultural Land Abandonment and Expansion in Turkiye Using the Subspace KNN Algorithm (2030)

Year 2023, Issue: 47, 149 - 163, 10.01.2024
https://doi.org/10.26650/JGEOG2023-1270738

Abstract

One of the most important changes in agricultural land worldwide is the problem of land abandonment in underdeveloped and developing countries and in regions with low resilience to climate change. This problem is also an ongoing debate in Turkiye. This study first evaluates the process of abandonment and expansion of agricultural land in Turkiye based on the literature before presenting maps of the probability of abandonment and recovery of agricultural land. In this context, the abandonment and expansion of agricultural land due to changes in Coordination of Information on the Environment (CORINE) data for 2006-2018 are used as the dependent variables. Probability maps were constructed using the subspace KNN model with 13 independent variables. The immediate surroundings of cities are seen to come first as the places with a high probability of abandonment. For rural areas, this appears as the areas close to roads and places with forced natural environmental conditions. A very low recovery situation has emerged in terms of places that can be reclaimed. The areas that stand out among these are where hazelnut and tea plantations have expanded in the Black Sea region, as well as the areas with relatively favorable topography in the interior of the Western and Central Taurus Mountains in the Mediterranean region.

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Türkiye’de Tarımsal Arazilerin Terk Edilmesi ve Genişlemesinin Subspace KNN Algoritmasıyla Projeksiyonu (2030)

Year 2023, Issue: 47, 149 - 163, 10.01.2024
https://doi.org/10.26650/JGEOG2023-1270738

Abstract

Küresel çapta tarım arazilerinde gözlemlenen önemli değişikliklerden biri, az gelişmiş ve gelişmekte olan ülkelerde ve iklim değişikliğine karşı dirençliliğin düşük olduğu bölgelerde görülen, tarımsal arazilerin terk edilmesi problemidir. Bu problem Türkiye genelinde de tartışmaların devam ettiği bir süreci yaşamaktadır. Çalışmada ilk olarak Türkiye’de tarım arazilerinin terk edilmesi ve genişlemesi süreci literatüre dayalı olarak değerlendirilmekte; ikinci olarak tarımsal arazilerde terk edilme ve geri kazanma olasılığına yönelik haritalar sunulmaktadır. Bu kapsamda CORINE verilerindeki (2006-2018) değişikliğe bağlı olarak terk edilen ve genişleyen tarımsal araziler bağımlı değişken olarak kullanılmıştır. Subspace KNN modeli ile 13 bağımsız değişken kullanılarak olasılık haritaları oluşturulmuştur. Terk edilme olasılığı yüksek yerler arasında öncelikle kentlerin yakın çevresi görülmektedir. Kırsal alanlarda ise yollara yakın alanlar ile doğal ortam koşullarının zorladığı yerler belirmektedir. Yeniden kullanılabilecek yerler açısından ise oldukça düşük bir geri kazanma durumu ortaya çıkmıştır. Bu yerler arasında, Karadeniz Bölgesinde fındık ve çay arazilerinin genişlediği alanlar ile Akdeniz Bölgesinde, Batı ve Orta Torosların iç kesimlerindeki topografyanın nispeten elverişli olduğu alanlar dikkati çekmektedir.

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There are 61 citations in total.

Details

Primary Language English
Subjects Physical Geography and Environmental Geology (Other)
Journal Section Research Article
Authors

Fethi Ahmet Canpolat 0000-0002-6084-7735

Publication Date January 10, 2024
Submission Date March 25, 2023
Published in Issue Year 2023 Issue: 47

Cite

APA Canpolat, F. A. (2024). Projecting Agricultural Land Abandonment and Expansion in Turkiye Using the Subspace KNN Algorithm (2030). Coğrafya Dergisi(47), 149-163. https://doi.org/10.26650/JGEOG2023-1270738
AMA Canpolat FA. Projecting Agricultural Land Abandonment and Expansion in Turkiye Using the Subspace KNN Algorithm (2030). Coğrafya Dergisi. January 2024;(47):149-163. doi:10.26650/JGEOG2023-1270738
Chicago Canpolat, Fethi Ahmet. “Projecting Agricultural Land Abandonment and Expansion in Turkiye Using the Subspace KNN Algorithm (2030)”. Coğrafya Dergisi, no. 47 (January 2024): 149-63. https://doi.org/10.26650/JGEOG2023-1270738.
EndNote Canpolat FA (January 1, 2024) Projecting Agricultural Land Abandonment and Expansion in Turkiye Using the Subspace KNN Algorithm (2030). Coğrafya Dergisi 47 149–163.
IEEE F. A. Canpolat, “Projecting Agricultural Land Abandonment and Expansion in Turkiye Using the Subspace KNN Algorithm (2030)”, Coğrafya Dergisi, no. 47, pp. 149–163, January 2024, doi: 10.26650/JGEOG2023-1270738.
ISNAD Canpolat, Fethi Ahmet. “Projecting Agricultural Land Abandonment and Expansion in Turkiye Using the Subspace KNN Algorithm (2030)”. Coğrafya Dergisi 47 (January 2024), 149-163. https://doi.org/10.26650/JGEOG2023-1270738.
JAMA Canpolat FA. Projecting Agricultural Land Abandonment and Expansion in Turkiye Using the Subspace KNN Algorithm (2030). Coğrafya Dergisi. 2024;:149–163.
MLA Canpolat, Fethi Ahmet. “Projecting Agricultural Land Abandonment and Expansion in Turkiye Using the Subspace KNN Algorithm (2030)”. Coğrafya Dergisi, no. 47, 2024, pp. 149-63, doi:10.26650/JGEOG2023-1270738.
Vancouver Canpolat FA. Projecting Agricultural Land Abandonment and Expansion in Turkiye Using the Subspace KNN Algorithm (2030). Coğrafya Dergisi. 2024(47):149-63.