Studies in Tree Species Identification

A special issue of Forests (ISSN 1999-4907). This special issue belongs to the section "Forest Ecology and Management".

Deadline for manuscript submissions: closed (28 February 2023) | Viewed by 2495

Special Issue Editors


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Guest Editor
Wood Anatomy and Quality Laboratory, Department of Forest Engineering and Technology, Federal University of Parana, 80210-170 Curitiba, Brazil
Interests: wood and charcoal anatomy; wood and charcoal species identification; near infrared; colorimetry; nanotechnology

E-Mail Website
Guest Editor
Wood Anatomy and Quality Laboratory, Department of Forest Engineering and Technology, Federal University of Parana, 80210-170 Curitiba, Brazil
Interests: wood and charcoal anatomy; wood and charcoal species identification; near infrared; colorimetry; nanotechnology

Special Issue Information

Dear Colleagues,

Correct identification, including the scientific name, of trees species is veryimportant for the conservation of natural resources and results in the sustainable use and final applications ofproducts with higher added value. Different techniques can be applied, destructive or non-destructive, using as base materials flowers, leaves, bark and wood, in solid or particulate form. Some examples are macroscopic and microscopic anatomical characterization, morphological characteristics, DNA analysis, spectroscopic techniques such as ultraviolet (UV), visible spectroscopy (VIS), infrared (IR), Raman, image analysis, etc., all with advantages and disadvantages; reaching different levels of identification, whether genus or species; some faster and cheaper; and others longer and higher cost. They are often complementary techniques and sometimes statistics and chemometrics can refine the results. All depends on basic knowledge and an extensive database, whether using physical samples or spectra for comparison.

This Special Issue covers all relevant topics related to tree species identification. Potential topics include, but are not limited to the following:

  • Wood anatomy;
  • Image analysis related to tree parts (leaves, wood, bark);
  • Spectroscopic techniques related to tree identification;
  • Machine learning and chemometrics related to tree identification analysis.

Dr. Silvana Nisgoski
Prof. Dr. Graciela Inés Bolzon De Muñiz
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Forests is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • tree species identification
  • destructive and non-destructive techniques
  • anatomical characteristics
  • dendrology
  • wood discrimination
  • image analysis
  • chromatic coordinates

Published Papers (1 paper)

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Research

11 pages, 1528 KiB  
Article
Identification of Alnus incana (L.) Moenx. × Alnus glutinosa (L.) Gaertn. Hybrids Using Metabolic Compounds as Chemotaxonomic Markers
by Girmantė Jurkšienė, Vaida Sirgedaitė-Šėžienė, Aušra Juškauskaitė and Virgilijus Baliuckas
Forests 2023, 14(1), 150; https://doi.org/10.3390/f14010150 - 13 Jan 2023
Cited by 2 | Viewed by 2017
Abstract
Alnus glutinosa (L.) Gaertn. and Alnus incana (L.) Moenx. grow naturally in Lithuania, and their ranges overlap. They are considered ecologically and economically important species of forest trees. The objective of our study was to determine plant bioactive compounds, such as total phenolic [...] Read more.
Alnus glutinosa (L.) Gaertn. and Alnus incana (L.) Moenx. grow naturally in Lithuania, and their ranges overlap. They are considered ecologically and economically important species of forest trees. The objective of our study was to determine plant bioactive compounds, such as total phenolic (TPC) and flavonoid compounds (TFC), in the wood of alders and their hybrids in order to specify the opportunity to use secondary metabolites (SM) for the identification of alder hybrids. The samples from juvenile and mature alder woods (n = 270) were collected at three different sites in the natural forests of Lithuania. The TPC and TFC content was determined using spectrophotometric methods and was expressed in mg/g of fresh mass. Obtained results showed that the TPC of A. incana was statistically higher compared to A. glutinosa; however, in hybrid alder wood it was intermediate. The TFC was statistically higher in hybrid alder wood and lowest in A. glutinosa. The TFC was higher in mature trees; however, the TPC showed the opposite tendency. In our case, the TPC was higher in continental sites, while TFC was higher in mature alders at costal sites. Obtained data allow us to assume that TPC and TFC in alder wood can be used as taxonomic markers. This study expanded the knowledge of alder physiology and contributed to the identification of alder hybrids. The correct identification of tree species is very important for the conservation of natural resources and for the sustainable use of higher value-added products. Full article
(This article belongs to the Special Issue Studies in Tree Species Identification)
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