Quantum analysis for biological communities using presence data

K. Özkan
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引用次数: 1

Abstract

Quantum analysis for biological communities using presence data Abstract:  The concepts, quantities and the explanations, found in books dealing with quantum ecology (Orloci 2013-2015) have a profound potential to serve the assessments of biological community data from an ecological point of view. However, the data matrices subjected to quantum analysis are quantitative and vegetation related. Therefore, the answer to the following question has remained unresolved: Is it possible to calculate energy-based entropy nH, and the related H and instability %, based on presence data from biological communities at large? The present study was motivated to find a reasonable way for adaptation of presence community data to quantum analysis. For this, the T and n terms, by which nH is parameterized, are changed to Tt and n´t terms by making the Tt  values a function of taxonomic distance Tt and setting n´t equal to (n2 − n)/ 2. Reasonable results were obtained on both the stand (complex) and the metacommunity levels. Since the results are based on the transformations of artificial data, confirmation of the approach is required in further studies using both presence and quantitative data sets from real  communities.  Keywords:  Emergent effect, complex, resonator, energy units, ecosystems, living communities.  Sadece var verisi kullanilarak yasayan toplumlar icin kuantum analizi  Ozet:  Orloci’nin kuantum ekoloji ile ilgili yazdigi kitaplarda kuantum analizini uygulandigi tum vejetasyon veri matrisleri sayilabilen verilerden olustugundan, canli toplumlarin sadece var verilerinden nH, H ve esneklik % degerlerinin nasil elde edilecegi sorusu cevapsiz kalmaktadir. Bu calisma sadece var verilerinden olusan canli toplumlarina kuantum analizlerini uygulayabilecek mantiksal bir yol onererek cevapsiz kalan bu soruya cevap bulmak amaciyla gerceklestirilmistir. Calismada oncelikle enerjinin esnek tanimindan faydalanilarak kuantum analizinin ana girdileri olan T ve n, sirasiyla Tt and n´t terimlerine donusturulmustur. Bu baglamda Tt degerleri -uc kompleksten ve bir meta toplumdan olusan yapay veri setine- taksonomik mesafe formulunun (∆∗) ust bilesen esitliligi uygulanarak hesaplanmis, n´t degerleri ise (n2 − n)/2 formulu kullanilarak elde edilmistir. Elde edilen Tt ve n´t degerlerinden kompleks ve meta toplum seviyesinde uygulanan kuantum analizleri beklentiye uygun sonuclar vermistir. Bununla birlikte bu calisma ile ilk defa onerilen bu  yaklasimin gecerliligi onun kucuk veya buyuk olcekteki gercek canli toplum verilerine uygulanmasini gerektirmektedir.  Anahtar Kelimeler:  Beliren etki, kompleks, resonator, enerji uniteler, ekosistemler, canli toplumlar. Received (Gelis):  08.10.2015 -  Revised (Duzeltme):  29.01.2016 - Accepted (Kabul):  29.01.2016 Cite (Atif):  Ozkan, K., 2017. Quantum analysis for biological communities using presence data.  Journal of the Faculty of Forestry Istanbul University  67(1): 80-84. DOI: 10.17099/jffiu.85122
利用存在数据对生物群落进行量子分析
摘要:关于量子生态学的书籍(Orloci 2013-2015)中发现的概念、数量和解释具有深刻的潜力,可以从生态学的角度评估生物群落数据。然而,量子分析的数据矩阵是定量的和与植被相关的。因此,以下问题的答案仍然没有解决:是否有可能计算基于能量的熵nH,以及相关的H和不稳定性%,基于生物群落的存在数据?本研究的动机是寻找一种合理的方法来适应存在群落数据的量子分析。为此,通过使Tt值成为分类距离Tt的函数并设置n´T = (n2−n)/ 2,将参数化nH的T和n项改为Tt和n´T项。在林分(复合)和元群落水平上均获得了合理的结果。由于结果是基于人工数据的转换,因此需要在使用真实社区的存在和定量数据集的进一步研究中确认该方法。关键词:涌现效应,复合体,共振器,能量单元,生态系统,生命群落(1)在英语中,谓语动词为谓语动词,谓语动词为谓语动词,谓语动词为谓语动词,谓语动词为谓语动词,谓语动词为谓语动词,谓语动词为谓语动词,谓语动词为谓语动词,谓语动词为谓语动词。但是,钙酸盐是一种不同的化学物质,它可以被用来分析金属离子,可以用来分析金属离子,可以用来分析金属离子,可以用来分析金属离子,可以用来分析金属离子。Calismada研究了细胞能量在神经网络中的作用,并分析了细胞能量在神经网络中的作用,包括T细胞能量、T细胞能量、T细胞能量和T细胞能量。但baglamda Tt degerleri -uc kompleksten - biir meta toplumdan olusan . yapay veri seti - takonomik mesafe formula unun(∆∗)仅bilesen esitiliigi uygulananarak hesplanmis,而not degerleri ise (n2−n)/2 formula of kullanilakelde edilmisir。本文介绍了一种基于量子力学的量子分析方法,并对量子力学进行了分析。Bununla birlike,但calisma ililen,但yaklasimin geceriligi onunkucuk veya buyuk, olcekteki gercek canli,以李子verilerine ygulanmasini gerektirmektedir。阿纳赫塔尔·克里米勒:信仰,kompleks,谐振器,能量单元,生态系统单元,圆柱。收稿(Gelis): 2015年10月8日-修订(Duzeltme): 2016年1月29日-接受(Kabul): 2016年1月29日引用(Atif): Ozkan, K., 2017。利用存在数据对生物群落进行量子分析。伊斯坦布尔大学林业学院学报67(1):80-84。DOI: 10.17099 / jffiu.85122
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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