Journals / Eurasian Journal of Forest Science / 2013 / Cilt: 1 - Sayı: 2

Effects of Different Thinning Grades on the Spatial Structure of Pure Black Pine Stands

EFFECTS OF DIFFERENT THINNING GRADES ON THE SPATIAL STRUCTURE OF PURE BLACK PINE STANDS

Pages
77–89
Publication Date
2013-08-05
DOI
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AI Summary & Key Takeaways

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

The pair correlation function provides a comprehensive explanation of the effects of thinning on stand spatial structure.

📌 3 Key Takeaways

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Objective & Hypothesis:AbstractBlack pine is very widely distributed in Turkey, with most stands managed by periodic harvesting to meet domestic wood demand.
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Key Findings & Data:To correct this deficiency, 12 pure black pine stands in the Alaçam Mountains between 61 and 95 years of age were investigated.
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Conclusion & Impact:The pair correlation function provides a comprehensive explanation of the effects of thinning on stand spatial structure.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Karaçam · İkili korelasyon · Mekânsal nokta süreci

Abstract

AbstractBlack pine is very widely distributed in Turkey, with most stands managed by periodic harvesting to meet domestic wood demand. However, scientific knowledge about the spatial structure of stands after thinning is lacking. To correct this deficiency, 12 pure black pine stands in the Alaçam Mountains between 61 and 95 years of age were investigated. The stands were mapped according to spatial tree distribution and thinning grades were determined by both number of trees per hectare and basal area. The numbers of trees in the stands were between 590 and 2163 (before thinning) and between 269 and 1422 (after thinning). Spatial-structure analyses were carried out before and after thinning using a pair correlation function. Graphical illustrations were extracted and visually assessed. In addition, the total areas below and above the theoretical line (g=1) of the pair correlation functions were calculated, and the effects of thinning on these were determined. No change was observed in the slightly thinned sample stands (17, 35, 38, and 56) and only slight changes in the moderately thinned stands (18, 21, 49. and 53). The most striking differences were detected in the intensively thinned stands (59, 68, 76, and 78). Regular areas have increased in parallel with increased thinning applications. In other respects; clustered areas did not decrease along with the increased thinning. The pair correlation function provides a comprehensive explanation of the effects of thinning on stand spatial structure.

Özet

Türkiye’de karaçam çok yaygın olmakla birlikte meşcerelerinin çoğunda yerel talebi karşılamak için dönemsel hasat yapılmaktadır. Yalnız aralama işleminden sonra meşcerenin mekânsal yapısı hakkında bilimsel bulgular yeterli olarak bulunmamaktadır. Bu eksikliği gidermek için Alaçam Dağlarında yaşları 61 ile 95 arasında bireyler bulunan 12 saf karaçam meşceresinde incelemeler yapılmıştır. Ağaçların mekânsal dağlımı ve aralama derecesine göre haritalandırılan meşcereler hem göğüs yüzeyi alanı hem de hektar başına düşen ağaç sayısına göre belirlenmiştir. Meşcerelerdeki ağaç sayısı aralama işleminden önce 590 ile 2163 iken, işlemden sonra 269 ile 1422’ye düşmüştür. Aralamadan önce ve sonra olmak üzere mekânsal yapı analizleri ikili korelasyon fonksiyonu kullanarak yapılmıştır. Grafiksel gösterimler üretilmiş ve görsel değerlendirmeleri yapılmıştır. Ayrıca ikili korelasyon teorik çizginin (g=1) altında ve üstünde olan toplam alanlar hesaplanmış ve aralamanın bunların üzerindeki etkileri belirlenmiştir. Aralamanın az yapıldığı meşcerelerde (17, 35, 38 ve 56) değişikliğe rastlanmayıp, orta düzeyde aralamanın yapıldığı meşcerelerde (18, 21, 49 ve 53) ise küçük değişikliğe tanık olunmuştur. En büyük fark ise aralamanın yoğun yapıldığı meşcerelerde (59, 68, 76 ve 78) görülmüştür. Düzenli (homojen dağılım gösteren) alanlar artan aralama uygulamasına paralel olarak artmıştır. Diğer bir deyişle kümelenmiş bölgeler seyreltmenin arttırılması ile azalmamıştır. İkili korelasyon fonksiyonu seyreltmenin meşcere konumsal yapısı üzerinde kapsamlı bilgi vermektedir.

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Cite This Article

YILMAZ, O., SEVGİ, O., TECİMEN, H., CARUS, S., KAVGACI, A., YURTSEVEN, H., ERDEM, R. (2013). Effects of Different Thinning Grades on the Spatial Structure of Pure Black Pine Stands. Eurasian Journal of Forest Science, Cilt: 1 - Sayı: 2, 77–89. https://ajindex.com/articles/665159

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References (4)

  1. Aguirre O, Hui G, Gadow KV, Jimenez J. An analysis of spatial forest structure using neighbourhood-based variables. Forest Ecology and Management 2003,183: 137€“145. Akkemik U, Yılmaz H, Oral D, Kaya A. Pinus. In: Yaltırık F, Akkemik U, editors. Türkiye'nin Doğal Gymnospermleri (Açık Tohumlular). OGM Press: Ankara; 2011.
  2. Antonovics J, Levin DA. The ecological and genetic consequences of density-dependent regulation in plants. Annual Review of Ecology and Systematics 1980,11:411€“52. Baddeley A, Turner R. Spatstat: an R package for analyzing spatial point patterns. Journal of Statistical Software 2005;12(6),1€“42. ISSN: 1548-7660. URL: www.jstatsoft.org. Barbeito, I.; Cañellas, I. & Montes, F. Evaluating the behaviour of vertical structure indices in Scots pine forests. Ann. For. Sci. 2009, 66 (7) 710-10
  3. Biber P, Weyerhaeuser H. Numerical methods for characterizing structure and diversity applied to a natural tropical forest and to an even-aged teak stand. In: Mies, E., editor, Natural and Socioeconomic Analysis and Modelling of Forest and Agroforestry Systems in Southeast Asia. Zentralstelle für Ernährung und Landwirtschaft, Feldafing, und Zschortau; 1998, 83€“104. Bivand R. spgrass6: Interface between GRASS 6 and R. R package version 0.7-10; 2012.
  4. Brumelis G, Elferts D, Liepina L, Luce I, Tabors G, Tjarve D. Age and spatial structure of natural Pinus sylvestris stands in Latvia. Scandinavian Journal of Forest Research 2005;20:471€“80. Bussotti F. Pinus nigra Arnold. In: CABI Publishing (Hrsg.), Pine of silvicultural importance. CABI Publishing; 2002, pp. 266€“86. Clark PJ, Evans FC. Distance to nearest neighbor as a measure of spatial relationships in populations. Ecology 1954;35:445€“453. Dessard H, Picard N, Pelissier R, Colliner-Vautier F. Spatial patterns of the most abundant tree species. In: [Gourlet-Fleury Sylvie, Guehl Jean-Marc, Laroussinie Olivier ]. Ecology and management of a neotropical rainforest. Elsevier SAS; 2004, pp. 177€“189. Eichhorn MP. Pattern reveals process: spatial organization of a Kamchatkan stone birch forest. Plant Ecology & Diversity 2010a;3(3):281€“8. Eichhorn MP. Spatial organization of a bimodal forest stand. J For Res 2010b;15:391€“7. Fard YE, Feghhi J, Zobeiri M, Namiranian M. Comparison of two distance methods for forest spatial pattern analysis (case study: Zagros forests of Iran). Journal of Applied Sciences 2008;8(1):152€“7. Getzin S, Dean C, He F, Trofymow JA, Wiegand K, Wiegand T. Spatial patterns and competiti