Türkmen Dağı (Eskişehir, Kütahya) sarıçam ormanlarında ağaç bileşenlerine ait karbon yoğunluklarının belirlenmesi

Yıl 2018, Cilt: 68 Sayı: 2, 87 - 92, 20.07.2018

Neşat Erkan Şükrü Teoman Güner

Öz

DOI: 10.26650/ forestist.2018.330657

Bu çalışmanın amacı, Türkmen Dağı
(Eskişehir, Kütahya) Bölgesi sarıçam (Pinus sylvestris L. subsp. hamata
(Steven) Fomin.) ormanlarında ağaç bileşenlerine ait karbon yoğunlukları ile
bazı meşcere ve yetişme ortamı özellikleri arasındaki ilişkileri belirlemektir.
Örneklemeler farklı yetişme ortamı özelliklerine sahip 58 alanda yapılmıştır.
Elde edilen veriler varyans ve korelasyon analizleri ile değerlendirilmiştir.
Altı ağaç bileşeninin karbon yoğunlukları arasında istatistik bakımdan önemli
farklılıklar bulunmuştur (p<0,001). Karbon yoğunluğu en düşük kökte
(%50,94), en yüksek ise kabukta (%54,75) bulunmuştur. Sarıçam ormanları için
ağırlıklı karbon oranı %52,37 olarak hesaplanmıştır. Ağaç bileşenlerine ait
karbon yoğunlukları ile bazı meşcere ve yetişme ortamı özellikleri arasında
önemli ilişkiler tespit edilmiştir. Bonitet endeksi ve yükselti ile ağaç
bileşenleri karbon oranları arasında negatif ilişki bulunmuştur. Ancak yükselti
ile bir ve iki yaşlı ibre karbon oranları arasındaki ilişki daha güçlü (p<0,01)
ortaya çıkmıştır. Ayrıca yamaç konumu iki ve üç yaşlı ibre karbon oranı ile
pozitif ilişki gösterirken kabuk karbon oranı ile negatif ilişki göstermiştir.
Elde edilen karbon oranları, sarıçam ormanlarında gerek ağaçlarda gerekse
ağaçların farklı bileşenlerinde depolanan karbon stoğunun hesaplanmasında
kullanılabilir.

Anahtar Kelimeler

Sarıçam, ağaç bileşenleri, karbon oranı

Determination of carbon concentration of tree components for Scotch pine forests in Türkmen Mountain (Eskişehir, Kütahya) Region

Öz

DOI: 10.26650/ forestist.2018.330657

The purpose of this study was to
investigate the relationship between carbon concentration of different tree
components and some ecological factors for Scotch pine (Pinus sylvestris L.
subsp. hamata (Steven) Fomin.) in Türkmen Mountain Region. Data were collected
from 58 ecologically different sample plots and were evaluated using ANOVA and
correlation analysis. Carbon concentration varied significantly within five
tree components (p<0.001), with the values ranging from 50.94% for root to
54.75% for bark. We also calculated the weighted carbon concentration as 52.37%
for Scotch pine forests. Some significant relationships were found between the
carbon concentration of tree components and some ecological factors and stand
parameters. Site index and elevation negatively correlated with tree component
carbon concentration. However, elevation strongly correlated with 1- and
2-year-old needle carbon concentration (p<0.01). We also found that slope
position positively correlated with 2- and 3-year-old needles but negatively
correlated with bark in terms of carbon concentration. The carbon
concentrations that we calculated in this study can be used for calculating the
carbon content of either whole tree or any tree component in Scotch pine
forests.

Anahtar Kelimeler

Scotch pine, tree components, carbon concentration

Kaynakça

• Aertsen, W., Kint, V., Orshoven, J., Özkan, K., Muys, B., 2010. Comparison and ranking of different modelling techniques for prediction of site index in Mediterranean mountain forests. Ecological Modelling 221:1119-1130.
• Akburak, S., Oral, H.V., Özdemir, E., Makineci, E., 2013. Temporal variations of biomass, carbon and nitrogen of roots under different tree species. Scandinavian Journal of Forest Research 28: 8-16.
• Alakangas, E., 2005. Properties of wood fuels used in Finland, Technical Research Center of Finland, VTT processes, Project Report Pro2/P2030/05 (Project C5SU00800), Finland, https://ec.europa.eu/energy/intelligent/projects/sites/iee-projects/files/projects/documents/bio-south_wood_fuel_properties.pdf), (Accessed: 14 June 2017).
• Alemdağ, Ş., 1967. Türkiye’deki sarıçam ormanlarının kuruluşu, verim gücü ve bu ormanların işletilmesinde takip edilecek esaslar. Ormancılık Araştırma Enstitüsü Yayınları, Teknik Bülten Serisi No: 20, Ankara (in Turkish).
• Asan, Ü., 1995, Global iklim değişimi ve Türkiye ormanlarında karbon birikimi. İstanbul Üniversitesi Orman Fakültesi Dergisi B45(1-2): 23-38 (in Turkish).
• Bert, D., Danjon, F., 2006. Carbon concentration variation in the roots, stem and crown of mature Pinus pinaster (Ait.). Forest Ecology and Management 222: 279-295.
• Colombo, S.J., Parker, W.C., Luckai, N., Dang, Q., Cai, T., 2005. The effects of forest management on carbon storage in Ontario’s Forests, Climate Change Research Report (CCRR-03). Publication of Applied Research and Development Ontario Forest Research Institute, Ontorio, http://www.climateontario.ca/MNR_Publications/276922.pdf), (Accessed: 15 June 2017)
• Çömez, A., 2012. Sündiken Dağları’ndaki (Eskişehir) sarıçam (Pinus Sylvestris L.) meşcerelerinde karbon birikiminin belirlenmesi, Orman Toprak ve Ekoloji Araştırma Enstitüsü Müdürlüğü, Teknik Bülten No: 2 (in Turkish).
• Durkaya, A., Durkaya, B., Makineci, E., Orhan, İ., 2015. Aboveground biomass and carbon storage relationshıp of Turkısh pines. Fresenius Environmental Bulletin 24(11): 3573-3583.
• Green, C., Tobin, B., O’Shea, M., Farrell, E.P., Byrne, K.A., 2005. Above- and belowground biomass measurements in an unthinned stand of Sitka spruce (Picea sitchensis (Bong) Carr.). European Journal of Forest Research 126(2): 179-188.
• Güner, Ş.T., 2006. Determination of growth nutrition relationships as related to elevation in Scots pine (Pinus sylvestris ssp. hamata) forests on Turkmen Mountain (Eskişehir, Kütahya). PhD Dissertation, Anadolu Universty, Graduate School of Sciences, Eskişehir (in Turkish).
• Güner, Ş.T., Çömez, A., Özkan, K., 2012. Predicting soil and forest floor carbon stocks in Western Anatolian Scots pine stands, Turkey. African Journal of Agricultural Research 7(28): 4075-4083.
• Güner, Ş.T., Makineci, E., 2017. Determination of annual organic carbon sequestration in soil and forest floor of Scots pine forests on the Türkmen Mountain (Eskişehir, Kütahya). Journal of the Faculty of Forestry İstanbul University 67(2): 109-115.
• Güner, Ş.T., Çömez, A., 2017. Biomass equations and changes in carbon stock in afforested black pine (Pinus nigra Arn. subsp. pallasiana (Lamb.) Holmboe) stands in Turkey. Fresenius Environmental Bulletin 26(3): 2368-2379.
• Hartt, C.E., 1965. The effect of temperature upon translocation of C14 in sugarcane, Plant Physiology 40(1): 74-81.
• IPCC (Intergovernmental Panel on Climate Change), 2001. Climate Change 2001: Synthesis Report. A Contribution of Working Groups I, II and II to the Third Assessment Report of the Intergovernmental Panel on Climate Change. [Watson, R.T. and the Core Writing Team (eds.)]. Cambridge University Press, New York, NY. 398 p.
• IPCC, 2003, Goog Practise Guidance For Land Use, Land-use Change and Forestry, In: IGES, Eds. Penman, J., Gytarsky, M., Hiraishy, T., Krug, T., Kruger, D., Pipatti, R., Buendia, L., Miwa, K., Ngara, T., Tanabe, K., Wagner, F., IPCC/OECD/IEA/IGES, Hayama, Japan, http://www.ipcc-nggip.iges.or.jp/public/gpglulucf/gpglulucf_contents.html, (Accessed: 17 February 2017).
• IPCC, 2006, IPCC Guidelines for national greenhouse gas inventories, prepared by the National Greenhouse Gas Inventories Programme, In: IGES, Japan (Eds.: H.S. Eggleston, L. Buendia, K. Miwa, T. Ngara and K. Tanabe), (http://www.ipcc-nggip.iges.or.jp/public/2006gl/index.html. (Accessed: 04 January 2016).
• Janssens, I.A., Sampson, D.A., Cermak, J., Meiresonne, L., Riguzzi, F., Overloop, S., Ceulemans, R., 1999. Above- and belowground phytomass and carbon storage in a Belgian Scots pine stand. Annals of Forest Science 56: 81-90, DOI:10.1051/forest:19990201. Karatepe, Y., 2014. Carbon and nitrogen in leaves, branch and stem of 19 different Mediterranean maquis species at the same site, Isparta-Turkey. Research Journal of Biotechnology 9(6), 26-32.
• Lamlom, S.H., Savidge, R.A., 2003. A reassessment of carbon content in wood: variation within and between 41 North American species. Biomass and Bioenergy 25: 381-388.
• Laiho, R., Laine, J., 1997. Tree stand biomass and carbon content in an age sequence of drained pine mires in southern Finland. Forest Ecology and Management 93: 161-169.
• Leco, 2000. TruSpec CN analyzer. Leco Cooperation, St. Joseph.
• Malmsheimer, R.W., Bowyer, J.L., Fried, J.S., Gee, E., Izlar, R.L., Miner, R.A., Munn, I.A., Oneil, E., Stewart, W.C., 2011. Managing Forests because Carbon Matters: Integrating Energy, Products, and Land Management Policy. Journal of Forestry 109: Supplement 1, 51 pp.
• Moisen, G.G., Frescino, T.S., 2002. Comparing five modelling techniques for predicting forest characteristics. Ecological Modelling 157: 209-225.
• MTA, 2015. General Directorate of Mineral Research and Exploration, 1:500000 Scale Geological Inventory Map Series of Turkey, http://maps.mta.gov.tr/geological/500000-scale.php (Accessed: 15 Jan 2016). OGM, 2015. Türkiye Orman Varlığı, https://www.ogm.gov.tr/ekutuphane/Yayinlar/T%C3%BCrkiye%20Orman%20Varl%C4%B1%C4%9F%C4%B1-2015.pdf, (Accessed: 20 January 2016).
• SPSS v.22.0®, 2015. SPSS 22.0 Guide to Data Analysis, published by Prentice Hall, Upper Saddle River, New Jersey, USA. 637 pp.
• Tolunay, D., 2009. Carbon concentration of tree components, forest floor and understory in young Pinus sylvestris stands in north-western Turkey, Scandinavian Journal of Forest Research 24: 394-402.
• Thomas, S.C., Malczewski, G., 2006. Wood carbon content of tree species in Eastern China: Interspecific variability and the importance of the volatile fraction. Journal of Environmental Management 85: 659-662.
• Thomas, S.C., Martin, A.R., 2012. Carbon content of tree tissues: A synthesis. Forests 3: 332-352.