Stem analysis program (GOAP) for evaluating of increment and growth data at individual tree

Abstract

Cite (Atıf) : Özdemir, G.A., Özdemir, E., 2016. Stem analysis program (GOAP) for evaluating of increment and growth data at individual tree. Abstract: Stem analysis is a method evaluating in a detailed way data of increment and growth of individual tree at the past periods and widely used in various forestry disciplines. Untreated data of stem analysis consist of annual ring count and measurement procedures performed on cross sections taken from individual tree by section method. The evaluation of obtained this untreated data takes quite some time. Thus, a computer software was developed in this study to quickly and efficiently perform stem analysis. This computer software developed to evaluate untreated data of stem analysis as numerical and graphical was programmed as macro by utilizing Visual Basic for Application feature of MS Excel 2013 program currently the most widely used. In developed this computer software, growth height model is formed from two different approaches, individual tree volume depending on section method, cross-sectional area, increments of diameter, height and volume, volume increment percent and stem form factor at breast height are calculated depending on desired period lengths. This calculated values are given as table. Development of diameter, height, volume, increments of these variables, volume increment percent and stem form factor at breast height according to periodic age are given as chart. Stem model showing development of diameter, height and shape of individual tree in the past periods also can be taken from computer software as chart. Keywords: Macro programming, section method, user form, ıncrement calculations, volume calculations Tek ağaçta artım ve büyüme verilerinin değerlendirilmesi için gövde analiz programı (GOAP)Özet: Gövde analizi, tek ağacın geçmiş dönemlerdeki artım ve büyüme verilerini ayrıntılı bir şekilde değerlendiren ve değişik ormancılık bilim dallarında sıkça kullanılan bir yöntemdir. Gövde analizinin ham verilerini, bölümleme yöntemi ile tek ağaçtan alınan kesitler üzerinde gerçekleştirilen yıllık halka sayım ve ölçüm işlemleri oluşturmaktadır. Elde edilen bu ham verilerin değerlendirilmesi oldukça zaman almaktadır. Bu nedenle gövde analizinin kısa sürede ve etkin bir şekilde yapılması için bu çalışma kapsamında bir bilgisayar programı geliştirilmiştir. Gövde analizi ham verilerini sayısal ve grafik olarak değerlendirmek için geliştirilen bu bilgisayar yazılımı, günümüzde oldukça yaygın kullanılan MS Excel 2013 programının Visual Basic For Application özelliğinden yararlanılarak makro olarak programlanmıştır. Geliştirilen bu programda değişik yaşlardaki (periyotlardaki) boy değerlerinin hesaplanması için iki farklı yaklaşımla boylanma modeli oluşturulmakta, istenen dönem (periyot) uzunluklarına göre, bölümleme yöntemine göre tek ağacın hacmi, kesit yüzeyleri, çap, boy ve hacim artımları ile hacim artım yüzdeleri ve göğüs boyu gövde şekil katsayıları hesaplanmaktadır. Hesaplanan bu değerler tablo halinde verilmektedir. Çap boy, hacim ve bu değişkenlerin ar...

Examining Naturogenic Processes and Anthropogenic Influences on Tree Growth and Development via Stem Analysis: Data Processing and Computational Analytics

“…The third step involves developing and (or) deploying applicable data processing and computational algorithms which yield the required indices for drawing inferences regarding the effect of naturogenic processes and anthropogenic impacts on tree growth and development. Although a number of very useful software computational algorithms have been developed in the past (e.g., [34,35,58,61,[63][64][65][66][67][68]), they have been generally non-generic in their applicability and are specific in terms of their input data structure requirements, underlying computations and associated assumptions employed, growth and morphological metrics produced, and tabular and graphical outputs generated. Furthermore, even though only a few system-specific processing and analysis software programs are still currently available and actively supported (e.g., XLSTEM part of the WinDendro TM Image Analysis Systems (Regent Instruments Inc, Quebec City, Quebec, Canada) and TSAP-Win TM within Digital Positiometer System (Rinntech ® , Heidelberg, Germany)), the accessibility of comprehensive non-proprietary computational suites, that are able to readily produce output metrics that are consistent with the conceptual foundation and analytical stem analysis framework advanced by Duff, Nolan and Forward [27][28][29][30][31][32][33], and compatible with current computer hardware and software operating systems, are generally lacking.…”