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Approaches to the Determination of the Growing Location of Mossy Pine Forests Based on the Spectral Characteristics of Ecologically Dependent Wood Components

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Intelligent Biotechnologies of Natural and Synthetic Biologically Active Substances (ICAETT 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 408))

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Abstract

In the article, the wood of mossy pine forests (Pinetum pleuroziosum) from different areas of Belarus was investigated by spectroscopy in the near infrared region. NIR spectra were recorded using a portable NIR spectrometer MicroNIR OnSite with a diode array detector. The conditions for sample preparation have been optimized and methods have been developed for correcting scattering taking into account the specifics of the samples under study. As a result of experimental studies, 6 homogeneous regions were identified, which are characterized by similar spectral variations. According to known methods, the content of the main biopolymers in the wood of each zone, which may be sensitive to the effect of environmental gradients, was determined. It was found that the differentiation of forest stands is due to the different content of lignin, cellulose and hemicellulose in the wood. The holocellulose content remains unchanged. The research carried out is innovative and can find application in forensic science in solving expert tasks related to determining the location of a tree.

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Acknowledgments

The author would like to thank Iosif Stanislavovich Tsybovsky, Chief Specialist of BelYurObespechenie, RUE, Candidate of Biological Sciences, for his interest in the work, discussion of the obtained data and valuable advice.

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Authors and Affiliations

  1. Scientific and Practical Center (SPC) of the State Forensic Examination Committee of the Republic of Belarus, Minsk, Belarus

    Anna Khokh

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  1. Anna Khokh
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Editors and Affiliations

  1. Research Laboratory of Applied Issues, Belarusian State University, Minsk, Belarus

    Vladimir Kurchenko

  2. Department of Applied Biotechnology, North-Caucasus Federal University, Stavropol, Russia

    Alexei Lodygin

  3. R. Misericórdia Lagar dos Cortiços, Polytechnic Institute of Coimbra, Coimbra, Portugal

    Rui Manuel Machado da Costa

  4. Department of Informational Systems, Stavropol State Agrarian University, Stavropol, Russia

    Irina Samoylenko

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Khokh, A. (2022). Approaches to the Determination of the Growing Location of Mossy Pine Forests Based on the Spectral Characteristics of Ecologically Dependent Wood Components. In: Kurchenko, V., Lodygin, A., Machado da Costa, R.M., Samoylenko, I. (eds) Intelligent Biotechnologies of Natural and Synthetic Biologically Active Substances. ICAETT 2021. Lecture Notes in Networks and Systems, vol 408. Springer, Cham. https://doi.org/10.1007/978-3-030-96641-6_11

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  • DOI: https://doi.org/10.1007/978-3-030-96641-6_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-96640-9

  • Online ISBN: 978-3-030-96641-6

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