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

Fethi Ahmet Canpolat

doi:10.26650/JGEOG2023-1270738

Research Article

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

Year 2023, Issue: 47, 149 - 163, 10.01.2024

Fethi Ahmet Canpolat

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.

Keywords

Abandonment of agricultural land, Expansion of agricultural land, Subspace KNN, projection, Turkiye

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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

Fethi Ahmet Canpolat

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.

Keywords

Terk Edilmiş Tarımsal Araziler, Tarım arazilerinin genişlemesi, Subspace KNN, Projeksiyon, Türkiye

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Huang, Yingqian; Li, Fengqin; Xie, Hualin (2020): A Scientometrics Review on Farmland Abandonment Research. In Land 9 (8), p. 263. DOI: 10.3390/land9080263. google scholar
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Liu, Jinxiu; Shen, Weihao; He, Yaqian (2021): Effects of Cropland Expansion on Temperature Extremes in Western India from 1982 to 2015. In Land 10 (5), p. 489. DOI: 10.3390/land10050489. google scholar
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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). Journal of Geography(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). Journal of Geography. 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)”. Journal of Geography, 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). Journal of Geography 47 149–163.
IEEE	F. A. Canpolat, “Projecting Agricultural Land Abandonment and Expansion in Turkiye Using the Subspace KNN Algorithm (2030)”, Journal of Geography, 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)”. Journal of Geography 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). Journal of Geography. 2024;:149–163.
MLA	Canpolat, Fethi Ahmet. “Projecting Agricultural Land Abandonment and Expansion in Turkiye Using the Subspace KNN Algorithm (2030)”. Journal of Geography, 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). Journal of Geography. 2024(47):149-63.

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