Ali Kaan YETİK, Serhat DÖNMEZ, Serife AKKAYA

Parsel Sınır Komşuluğu İlişkilerinin Bitki Deseni Oluşumuna Etkisinin Farklı Yöntemlerle Belirlenmesi: Mustafakemalpaşa Örneği

Bu çalışmada, parsel sınır komşuluğu ilişkilerinin bitki deseninin belirlenmesinde bir etkisinin olup olmadığı mekânsal veriler kullanan farklı yöntemlerle belirlenmiştir. Bursa Mustafakemalpaşa Ovası’nda bulunan Kumkadı, Ormankadı, Tepecik ve Yeşilova köylerine ait 4 259 ha alanda bulunan işletmelerin 2019 ve 2020 yıllarında belirlediği bitki desenleri meta veri olarak kullanılmıştır. Parseller arasındaki sınır komşuluğu ilişkileri Coğrafi Bilgi Sistemi programı olan ArcMap 10.2 kullanılarak üç farklı yöntemle ortaya konmuştur. Bu yöntemler “Buffer (25 m), Thiessen Polygons ve Polygon Neighbors” olarak belirlenmiştir. Sonuçlar incelendiğinde, Buffer, Thiessen ve Polygon yöntemi için bitki deseni belirlenirken komşusundan etkilenen çiftçilerin oranları sırasıyla %25.2, %24.7 ve %23.8 olarak bulunmuştur. Yöntemler arasında önemli farklılıklara rastlanmamış ve çalışma alanı olarak belirlenen köylerdeki parsel sınır komşuluğu ilişkilerinin, bitki seçimi üzerindeki ortalama etkisi %24.5 olarak belirlenmiştir. Bu oranın sosyal ilişkilerin tarımsal arazi kullanım modellerinin bir alt belirleyicisi olabileceği sonucuna ulaşılmıştır.

Anahtar Kelimeler:

Taklit, CBS, bitki deseni, ArcMap

Determining the Effects of Parcel Neighborhood on the Formation of Crop Pattern with Different Methods: The Case Study of Mustafakemalpaşa

In presented study, it was determined whether and, the neighborhood relations have an effect on the determination of the crop pattern with different methods using spatial data. The crop patterns of the enterprises located in Kumkadı, Ormankadı, Tepecik and Yeşilova villages located in 4 259 ha land at Bursa Mustafakemalpaşa Plain in 2019 and 2020 were used as metadata. Neighborhood relations between the different parcels were obtain by using three different methods using ArcMap 10.2, a Geographical Information System program. These methods are designated as “Buffer (25 m), Thiessen Polygons and Polygon Neighbors”. As a result, the percentages of farmers affected by their neighbors on the determining the crop pattern for the Buffer, Thiessen and Polygon methods were found to be 25.2%, 24.7% and 23.8%, respectively. There were no considerable differences between the methods and the average effect of neighborhood relations in the villages determined as the study area on plant selection was determined as 24.5%. This rate shows that social relations can be a subdeterminer of agricultural land use patterns.

Keywords:

Imitation, GIS, crop pattern, ArcMap,

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