Parsel Sınır Komşuluğu İlişkilerinin Bitki Deseni Oluşumuna Etkisinin Farklı Yöntemlerle Belirlenmesi: Mustafakemalpaşa Örneği
Abstract
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.
Keywords
References
- Bandura, A. (1977). Social Learning Theory. ABD: Prentice Hall, Englewood Cliffs, s. 113.
- Bandura, A. (1986). Social Foundations of Thought and Action: A Social Cognitive Theory. Prentice Hall. ABD: Englewood Cliffs.
- Bandura, A. (2001). Social cognitive theory: an agentic perspective. Annual Review of Psychology, 52, 126.
- Bjørkhaug, H., ve Blekesaune, A. (2013). Development of organic farming in Norway: A statistical analysis of neighbourhood effects. Geoforum, 45, 201-210.
- Chiffoleau, Y. (2005). Learning about innovation through networks: the development of environment-friendly viticulture. Technovation, 25(10), 1193-1204.
- Cialdini, R. B., Kallgren, C. A., ve Reno, R. R. (1991). A focus theory of normative conduct: A theoretical refinement and reevaluation of the role of norms in human behavior. In Advances in experimental social psychology (Vol. 24, pp. 201-234). Academic Press.
- DSİ. (2020). Devlet Su İşleri Genel Müdürlüğü 1. Bölge Müdürlüğü Kayıtlar, Bursa.
- Feder, G., ve Umali, D. L. (1993). The adoption of agricultural innovations: a review. Technological forecasting and social change, 43(3-4), 215-239.
- Festinger, L. (1954). A theory of social comparision processes. Hum. Relat., 7, 117–140.
- Gotts, N. M., Polhill, J. G., Law, A. N. R., ve Izquierdo, L. R. (2003, April). Dynamics of imitation in a land use simulation. In Proceedings of the second international symposium on imitation in animals and artefacts, University of Wales, Aberystwyth (pp. 7-11).
- Jager, W., Janssen, M. A., De Vries, H. J. M., De Greef, J., ve Vlek, C. A. J. (2000). Behaviour in commons dilemmas: Homo economicus and Homo psychologicus in an ecological-economic model. Ecological economics, 35(3), 357-379.
- Le, Q. B., Seidl, R., ve Scholz, R. W. (2012). Feedback loops and types of adaptation in the modelling of land-use decisions in an agent-based simulation. Environmental Modelling & Software, 27, 83-96.
- Lempert, R. (2002). Agent-based modeling as organizational and public policy simulators. Proceedings of the National Academy of Sciences, 99(3), 7195-7196.
- Leridon, H. (2020). World population outlook: Explosion or implosion?. Population Societies, 573(1), 1-4.
- Letenyei, L. (2001). Rural innovation chains. Two examples for the diffusion of rural innovations. Review of Sociology, 7(1), 85-100.
- Pomp, M., ve Burger, K. (1995). Innovation and imitation: Adoption of cocoa by Indonesian smallholders. World Development, 23(3), 423-431.
- Riveiro, J. A., Marey-Pérez, M. F., Díaz-Varela, E. R., ve Álvarez, C. J. (2010). A methodology for the analysis of the relationships between farms and their physical environment. The Journal of Agricultural Science, 148(1), 101-116.
- Rounsevell, M. D. A., Annetts, J. E., Audsley, E., Mayr, T., ve Reginster, I. (2003). Modelling the spatial distribution of agricultural land use at the regional scale. Agriculture, Ecosystems & Environment, 95(2-3), 465-479.
- Schmit, C., & Rounsevell, M. D. A. (2006). Are agricultural land use patterns influenced by farmer imitation?. Agriculture, ecosystems & environment, 115(1-4), 113-127.
- Singh, D. K., Jaiswal, C. S., Reddy, K. S., Singh, R. M., ve Bhandarkar, D. M. (2001). Optimal cropping pattern in a canal command area. Agricultural Water Management, 50(1), 1-8.
- Vygotsky, L. S., ve Cole, M. (1978). Mind in society: Development of higher psychological processes. Harvard university press.
- Warriner, G. K., ve Moul, T. M. (1992). Kinship and personal communication network influences on the adoption of agriculture conservation technology. Journal of rural studies, 8(3), 279-291.
Determining the Effects of Parcel Neighborhood on the Formation of Crop Pattern with Different Methods: The Case Study of Mustafakemalpaşa
Abstract
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
References
- Bandura, A. (1977). Social Learning Theory. ABD: Prentice Hall, Englewood Cliffs, s. 113.
- Bandura, A. (1986). Social Foundations of Thought and Action: A Social Cognitive Theory. Prentice Hall. ABD: Englewood Cliffs.
- Bandura, A. (2001). Social cognitive theory: an agentic perspective. Annual Review of Psychology, 52, 126.
- Bjørkhaug, H., ve Blekesaune, A. (2013). Development of organic farming in Norway: A statistical analysis of neighbourhood effects. Geoforum, 45, 201-210.
- Chiffoleau, Y. (2005). Learning about innovation through networks: the development of environment-friendly viticulture. Technovation, 25(10), 1193-1204.
- Cialdini, R. B., Kallgren, C. A., ve Reno, R. R. (1991). A focus theory of normative conduct: A theoretical refinement and reevaluation of the role of norms in human behavior. In Advances in experimental social psychology (Vol. 24, pp. 201-234). Academic Press.
- DSİ. (2020). Devlet Su İşleri Genel Müdürlüğü 1. Bölge Müdürlüğü Kayıtlar, Bursa.
- Feder, G., ve Umali, D. L. (1993). The adoption of agricultural innovations: a review. Technological forecasting and social change, 43(3-4), 215-239.
- Festinger, L. (1954). A theory of social comparision processes. Hum. Relat., 7, 117–140.
- Gotts, N. M., Polhill, J. G., Law, A. N. R., ve Izquierdo, L. R. (2003, April). Dynamics of imitation in a land use simulation. In Proceedings of the second international symposium on imitation in animals and artefacts, University of Wales, Aberystwyth (pp. 7-11).
- Jager, W., Janssen, M. A., De Vries, H. J. M., De Greef, J., ve Vlek, C. A. J. (2000). Behaviour in commons dilemmas: Homo economicus and Homo psychologicus in an ecological-economic model. Ecological economics, 35(3), 357-379.
- Le, Q. B., Seidl, R., ve Scholz, R. W. (2012). Feedback loops and types of adaptation in the modelling of land-use decisions in an agent-based simulation. Environmental Modelling & Software, 27, 83-96.
- Lempert, R. (2002). Agent-based modeling as organizational and public policy simulators. Proceedings of the National Academy of Sciences, 99(3), 7195-7196.
- Leridon, H. (2020). World population outlook: Explosion or implosion?. Population Societies, 573(1), 1-4.
- Letenyei, L. (2001). Rural innovation chains. Two examples for the diffusion of rural innovations. Review of Sociology, 7(1), 85-100.
- Pomp, M., ve Burger, K. (1995). Innovation and imitation: Adoption of cocoa by Indonesian smallholders. World Development, 23(3), 423-431.
- Riveiro, J. A., Marey-Pérez, M. F., Díaz-Varela, E. R., ve Álvarez, C. J. (2010). A methodology for the analysis of the relationships between farms and their physical environment. The Journal of Agricultural Science, 148(1), 101-116.
- Rounsevell, M. D. A., Annetts, J. E., Audsley, E., Mayr, T., ve Reginster, I. (2003). Modelling the spatial distribution of agricultural land use at the regional scale. Agriculture, Ecosystems & Environment, 95(2-3), 465-479.
- Schmit, C., & Rounsevell, M. D. A. (2006). Are agricultural land use patterns influenced by farmer imitation?. Agriculture, ecosystems & environment, 115(1-4), 113-127.
- Singh, D. K., Jaiswal, C. S., Reddy, K. S., Singh, R. M., ve Bhandarkar, D. M. (2001). Optimal cropping pattern in a canal command area. Agricultural Water Management, 50(1), 1-8.
- Vygotsky, L. S., ve Cole, M. (1978). Mind in society: Development of higher psychological processes. Harvard university press.
- Warriner, G. K., ve Moul, T. M. (1992). Kinship and personal communication network influences on the adoption of agriculture conservation technology. Journal of rural studies, 8(3), 279-291.
Details
| Primary Language | Turkish |
|---|---|
| Subjects | Agricultural Engineering |
| Journal Section | Biyosistem Mühendisliği / Biosystem Engineering |
| Authors | |
| Early Pub Date | February 24, 2023 |
| Publication Date | March 1, 2023 |
| Submission Date | May 25, 2022 |
| Acceptance Date | November 10, 2022 |
| Published in Issue | Year 2023 Volume: 13 Issue: 1 |
