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

Year 2019, Volume: 21 Issue: 1, 205 - 214, 15.04.2019

Derya Mumcu Küçüker , Burak Sarı

https://doi.org/10.24011/barofd.458344

Abstract

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.

Keywords

Odun dışı orman ürünleri, defne, zamansal değişim, verimlilik, hasılat planı

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

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.

Keywords

L. nobilis, temporal change, Non-wood forest products, productivity, harvesting plan

References

• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• GDF (1994). Bursa Regional Directorate of Forestry, Mustafakemalpaşa State Forest Interprise, Forest Management Plan for Yeniköy Forest Planning Unit (1994-2003), Ankara.
• GDF (2013). Bursa Regional Directorate of Forestry, Mustafakemalpaşa State Forest Interprise, Yeniköy Forest Planning Unit, Bay laurel harvesting plan 2013-2026, General directorate of Forestry, Ankara.
• GDF (2016a). Action plan of Bay laurel, 2016-2020, 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.
• Ihalainen M, Pukkala T (2001). Modelling cowberry (Vaccinium vitis-idaea L.) and bilberry (Vaccinium myrtillus) yields from mineral soils and peatlands on the basis of visual estimates. Silva Fenn. 35: 329-340.
• Ihalainen M, Alho J, Kolehmainen O, Pukkala T (2002). Expert models for bilberry and cowberry yields in finnish forests. For Ecol Manage. 157: 15-22.
• Ihalainen M, Salo K, Pukkala T (2003). Empirical prediction models for Vaccinium myrtillus and V. vitis-idaea berry yields in North Karelia, Finland. Silva fennica. 37, 1: 95-108.
• Ihalainen M, Pukkala T, Saastamoinen O (2005). Regional expert models for bilberry and cowberry yields in Finland. Boreal Environ Res. 10: 145-158.
• Keles S, Sivrikaya F, Cakir G (2007). Temporal changes in forest landscape patterns in Artvin forest planning unit, Turkey. Environ Monit Assess. 129: 483-490.
• Morales L (2009). Modelos para la predicción del contenido y calidad de piñón en piñas de Pinus pinea en los Valles del Tiétar y del Alberche. MSc thesis. Univ Politécnica de Madrid, Madrid, Spain.
• Miina J, Hotanen JP, Salo K (2009). Modelling the abundance and temporal variation in the production of bilberry (Vaccinium myrtillus ) in Finnish mineral soil forests. Silva Fenn. 43: 577-593.
• Mumcu Küçüker D, Kadioğullari AI, Günlü A, Başkent EZ (2008). Analyzing of spatial and temporal changes of forest resources with geographic information system and remote sensing techniques: Case study in Akdamla. 5th International Conference on Geographic Information Systems (ISGIS-2008), 1-3 July 2008; Istanbul, Turkey. pp.155-162.
• Mumcu Küçüker D (2014). Integration of non-wood forest products into ecosystem based multiple use forest management plans: A case study of kanlica mushroom (Lactarius sp.). MSc Thesis, Karadeniz Technical University, Trabzon, Turkey.
• Mumcu Küçüker D, Başkent EZ (2017a). State of stone pine (Pinus pinea ) forests in Turkey and their economic importance for rural development. In: Mediterranean pine nuts from forests and plantations. Options Mediterraneennes, Series A: Mediterranean Seminars, No. 122, Carrasquinho, I. , Correia, A.C. , Mutke, S. , Eds., CIHEAM, Zaragoza, pp.111-118.
• Mumcu Küçüker D, Başkent EZ (2017b). Spatial and temporal changes of pinenut forests in Turkey: A case study in Ayvalik forest planning unit. In: Mediterranean pine nuts from forests and plantations.Options Mediterraneennes, Series A: Mediterranean Seminars, No. 122, Carrasquinho, I. , Correia, A.C. , Mutke, S. , Eds., CIHEAM, Zaragoza, pp.7-12.
• Mumcu Küçüker D, Başkent EZ (2018). Modeling the productivity of commercial Lactarius mushrooms: A case study in the Kizilcasu planning unit, Turkey. Nat Resour Model. 1:1-1.
• Mutke S, Gordo FJ, Gil L (2005). Variability of mediterranean stone pine cone production: Yield loss as response to climatic change. Agr Forest Meteorol. 132: 263-272.
• Nanos N, Tadesse W, Montero G, Gil L, Alia R (2000). Modelling resin production distributions for Pinus pinaster using two probability functions. Ann For Sci. 57: 379-377.
• Nanos N, Tadesse W, Montero G, Gil L, Alia R (2001). Spatial stochastic modeling of resin yield from pine stands. Can J For Res. 31: 1140-1147.
• Paula J A, Tomé M (2010). Predicting mature cork biomass with t years of growth from one measurement taken at any other age. For Ecol Manage. 259: 1993-2005.
• Sivrikaya F, Cakir G, Keles S, Baskent EZ (2009). Spatiotemporal dynamics of land use/land cover and timber carbon storage: A case study from Bulanikdere, Turkey.
• Sivrikaya F, Cakir G, Akay AE (2011). Factors of land use/cover change: A case study from Turkey. Scı Res Essays. 6: 3684-3696.
• Riberio F, Tomé M (2002). Cork weight prediction at tree level. For Ecol Manage 171(3), 231-241.
• Spanos K, Gaitanis D, Spanos I (2009). Resin production in natural aleppo pine stands in N. EviaGreece and possibilities for increasing income under sustainable forest management. Proceedings of the 14th Panhellenic Forestry Conference, Helenic Forestry Society, November, Greece, 1-4.
• TSMS (2008). Meteorology bulletin. Turkish State Meteorological Service, Ankara.
• TUIK (2018). Turkish Statistical Institute, Exportation records, Ankara.