Journals / Bartın Orman Fakültesi Dergisi / 2019 / Cilt: 21 - Sayı: 1

Determining Temporal Changes of Annual Productivity of Bay Laural (Laurus nobilis L.) in the Yenikoy Planning Unit

Yeniköy Planlama Birimindeki Yıllık Defne (Laurus nobilis L.) Verimliliğinin Zamansal Değişiminin Belirlenmesi

Pages
205–214
Publication Date
2019-04-15
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The results indicated that there was a remarkable change for spatial distribution and productivity of bay laurel from 1974 to 2013 due mainly to the differences of inventory design causing underestimation of productivity.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The production of non-wood forest products (NWFPs) is performed with harvesting plans in Turkey.
📊
Key Findings & Data:The cover type maps, forest management plans (1972- 2003) and bay laurel harvest plans (1992-2013) were used as primary data.
💡
Conclusion & Impact:The results indicated that there was a remarkable change for spatial distribution and productivity of bay laurel from 1974 to 2013 due mainly to the differences of inventory design causing underestimation of productivity.
🔬Design:Research Article
📍Scope:2003 Verileri
⚙️Variables:L. nobilis · temporal change · Non-wood forest products

Abstract

The production of non-wood forest products (NWFPs) is performed with harvesting plans in Turkey. However, insufficient technical capacities, lack of locational data and the absence of site productivity in the plans threat the sustainability of NWFPs. The primary objective of this research is to analyze temporal changes of annual site productivity of bay leave in the Yeniköy planning unit, Turkey. The cover type maps, forest management plans (1972- 2003) and bay laurel harvest plans (1992-2013) were used as primary data. Temporal changes of bay laurel productivity were examined in terms of land use types, developing stages and canopy cover with a detailed analysis on bay laurel areas with GIS. The results indicated that there was a remarkable change for spatial distribution and productivity of bay laurel from 1974 to 2013 due mainly to the differences of inventory design causing underestimation of productivity. Appropriate sampling technique with the use of GIS may provide more realistic and accurate estimation of the productivity. The integration of NWFPs into forest management plans and sustainable production are possible with understanding the quantitative relations of NWFPs with the appropriate variables.

Özet

Türkiye’de odun dışı orman ürünlerinin (ODOÜ) üretimi hasılat planları ile gerçekleştirilmektedir. Ancak planların yetersiz teknik bilgi ve eksik konumsal veri içermesi ve alan verimliliğini kapsamaması ODOÜ’nün sürdürülebilirliğini tehdit etmektedir. Bu çalışmanın amacı Yeniköy planlama biriminde bulunan defne alanlarındaki verimliliğin zamansal değişimini, 1972, 1994 ve 2013 orman amenajman planlarına ait meşcere haritalarını ve 1992 ve 2003 yılına ait defne hasılat planlarını kullanarak analiz etmektir. Arazi kullanım sınıfı, kapalılık ve gelişim çağı kullanılarak, defnenin yayılış gösterdiği alanlarda Coğrafi Bilgi Sistemleri (CBS) yardımıyla yapılan detaylı analizler sonucunda defne verimliliği belirlenmiştir. Elde edilen sonuçlara göre, 1974-2013 yılları arasında defne yayılış alanları ve verimliliği ciddi oranda artış göstermiştir. Bu planlama dönemleri arasındaki önemli farklılığın temel sebebi kullanılan envanter tasarımı farklılığıdır. Uygun örnekleme teknikleri ve CBS’nin kullanımıyla verimlilik tahminlerinin yapılması daha gerçekçi ve hassas olabilir. ODOÜ’nün orman amenajman planlarına entegre edilmesi ve sürdürülebilir üretimin sağlanması, ODOÜ’nün uygun değişkenlerle olan sayısal ilişkilerinin anlaşılabilmesiyle mümkündür.

🔖

Cite This Article

KÜÇÜKER, D. M., SARI, B. (2019). Determining Temporal Changes of Annual Productivity of Bay Laural (Laurus nobilis L.) in the Yenikoy Planning Unit. Bartın Orman Fakültesi Dergisi, Cilt: 21 - Sayı: 1, 205–214. https://ajindex.com/articles/111180

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (14)

  1. Anonymous (2018). Bursa Regional Directorate of Forestry, Mustafakemalpaşa State Forest Interprise, Accounting records, Bursa. Baskent EZ, Celik DA (2013). Forecasting forest development through modeling based on the legacy of forest structure over the past 43 years. For Systs. 22: 232-240.
  2. Bonet JA, Pukkala T, Fischer CR, Palahí M, Martínez de Aragón J, Colinas C (2008). Empirical models for predicting the production of wild mushrooms in scots pine (Pinus sylvestris) forests in the central pyrenees. Ann For Sci. 65: 206-214.
  3. Bonet JA, Palahí M, Colinas C, Pukkala T, Fischer CR, Miina J, Martínez de Aragón J (2010). Modelling the production and species richness of wild mushrooms in pine forests of the central pyrenees in northeastern Spain. Can J Forest Res. 40, 2, 347-356.
  4. Cakir G, Sivrikaya F, Terzioglu S, Keles S, Baskent EZ (2007). Monitoring thirty years of land cover change: Secondary forest succession in the Artvin Forest planning unit of Northeastern Turkey. Scott Geogr J. 123: 209-226.
  5. Cakir G, Sivrikaya F, Keles S (2008). Forest cover change and fragmentation using Landsat data in Macka State Forest Enterprise in Turkey. Environ Monit Assess. 137: 51-66.
  6. Calama R, Sánchez-González M, Montero G (2007). Management oriented growth models for multifunctional mediterranean forests: The case of stone pine (Pinus pinea). EFI Proceedings., 56: 57-70.
  7. Calama R, Gordo FJ, Mutke S, Montero G (2008). An empirical ecological-type model for predicting stone pine (Pinus pinea L.) cone production in the northern plateau (Spain). Forest Ecol Manag. 255: 660-673.
  8. Calama R, Mutke S, Tomé J, Gordo J, Montero G, Tomé M (2010). Modelling spatial and temporal variability in a zero-inflated variable: The case of stone pine (Pinus pinea L.) cone production. Ecol Model. 222, 3: 606-618.
  9. GDF (1994). Bursa Regional Directorate of Forestry, Mustafakemalpaşa State Forest Interprise, Forest Management Plan for Yeniköy Forest Planning Unit (1994-2003),
  10. Ankara.
  11. GDF (2013). Bursa Regional Directorate of Forestry, Mustafakemalpaşa State Forest Interprise, Yeniköy Forest Planning Unit, Bay laurel harvesting plan 2013-2026,
  12. General directorate of Forestry, Ankara. GDF (2016a). Action plan of Bay laurel, 2016-2020,
  13. General directorate of Forestry, Ankara. GDF (2016b). Principle of harvesting and sales and inventory and planning of non-wood forest products, OGM, Rescript no 302, Head of Forest Management and Planning Department, Ankara.
  14. Ihalainen M, Pukkala T (2001). Modelling cowberr