Results 21 to 30 of about 152,127 (295)

Quantitative wood anatomy and stable carbon isotopes indicate pronounced drought exposure of Scots pine when growing at the forest edge [PDF]

Frontiers in Forests and Global Change, 2023
Climate change poses a major threat to global forest ecosystems. In particular, rising temperatures and prolonged drought spells have led to increased rates of forest decline and dieback in recent decades. Under this framework, forest edges are particularly prone to drought-induced decline since they are characterized by warmer and drier micro-climatic
Allan Buras, Allan Buras, Romy Rehschuh, Marina Fonti, Jelena Lange, Patrick Fonti, Annette Menzel, Annette Menzel, Arthur Gessler, Arthur Gessler, Andreas Rigling, Andreas Rigling, Kerstin Treydte, Georg von Arx, Georg von Arx   +14 more
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An open-source machine-learning approach for obtaining high-quality quantitative wood anatomy data from E. grandis and P. radiata xylem

Plant Science, 2023
Quantitative wood anatomy is a subfield in dendrochronology that requires effective open-source image analysis tools. In this research, the bioimage analysis software QuPath (v0.4.4) is introduced as a candidate for accurately quantifying the cellular properties of the xylem in an automated manner.
Keret, Rafael, Schliephack, Paul M., Stangler, Dominik Florian, Seifert, Thomas, Kahle, Hans-Peter, Drew, David, Hills, Paul N.   +6 more
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Wood identification of Dalbergia nigra (CITES Appendix I) using quantitative wood anatomy, principal components analysis and naive Bayes classification [PDF]

Annals of Botany, 2009
Dalbergia nigra is one of the most valuable timber species of its genus, having been traded for over 300 years. Due to over-exploitation it is facing extinction and trade has been banned under CITES Appendix I since 1992. Current methods, primarily comparative wood anatomy, are inadequate for conclusive species identification. This study aims to find a
Gasson, Peter, Miller, Regis, Stekel, Dov J., Whinder, Frances, Zieminska, Kasia (R21153)   +4 more
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Machine Learning Models with Quantitative Wood Anatomy Data Can Discriminate between Swietenia macrophylla and Swietenia mahagoni [PDF]

Forests, 2019
Illegal logging and associated trade aggravate the over-exploitation of Swietenia species, of which S. macrophylla King, S. mahagoni (L.) Jacq, and S. humilis Zucc. have been listed in Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES) Appendix Ⅱ.
Tuo He, João Marco, Richard Soares, Yafang Yin, Alex Wiedenhoeft   +4 more
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Can quantitative wood anatomy data coupled with machine learning analysis discriminate CITES species from their look-alikes?

Wood Science and Technology, 2022
Due to increasing global trade of timber commodities and illegal logging activities, wood species listed in the Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES) appendices are facing extinction, and their international trade has been banned or is under supervision.
Shoujia Liu, Tuo He, Jiajun Wang, Jiabao Chen, Juan Guo, Xiaomei Jiang, Alex C. Wiedenhoeft, Yafang Yin   +7 more
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Applying CLSM to increment core surfaces for histometric analyses: A novel advance in quantitative wood anatomy [PDF]

Dendrochronologia, 2013
A novel procedure has been developed to conduct cell structure measurements on increment core samples of conifers. The procedure combines readily available hardware and software equipment. The essential part of the procedure is the application of a confocal laser scanning microscope (CLSM) which captures images directly from increment cores surfaced ...
Liang, W., Heinrich, I., Helle, G., Dorado Liñán, I., Heinken, T.   +4 more
openaire   +6 more sources

Disentangling intra-annual Pinus sylvestris growth responses to hydro-climatic conditions: Insights from quantitative wood anatomy in peatlands

Science of The Total Environment
Peatlands are vital ecosystems that regulate global carbon storage and hydrology, driven by waterlogged conditions that foster organic matter accumulation. However, disentangling the interactions between climate, hydrology, and tree growth in peatlands remains challenging.
Silvia Piccinelli, Johannes Edvardsson, Veiko Lehsten, Lenka Slamova, Lianne Gouma, Loïc Francon, Karolina Janecka, Christophe Corona, Markus Stoffel   +8 more
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The states of water in Norway spruce (Picea abies (L.) Karst.) studied by low-field nuclear magnetic resonance (LFNMR) relaxometry: assignment of free-water populations based on quantitative wood anatomy [PDF]

Holzforschung, 2016
Abstract Low-field nuclear magnetic resonance (LFNMR) relaxometry was applied to determine the spin-spin relaxation time (T 2) of water-saturated Norway spruce (Picea abies (L.) Karst.) specimens cut from mature sapwood (sW) and mature and juvenile heartwood (hW), where earlywood (EW) and latewood (LW) were separated ...
Fredriksson, Maria, Thygesen, Lisbeth Garbrecht   +1 more
openaire   +3 more sources

A protocol for high-quality sectioning for tree-ring anatomy [PDF]

Frontiers in Plant Science
Quantitative wood anatomy (QWA), which involves measuring wood cell anatomical characteristics commonly on dated tree rings, is becoming increasingly important within plant sciences and ecology.
Marina V. Fonti, Marina V. Fonti, Georg von Arx, Georg von Arx, Maryline Harroue, Loïc Schneider, Loïc Schneider, Daniel Nievergelt, Daniel Nievergelt, Jesper Björklund, Jesper Björklund, Rashit Hantemirov, Rashit Hantemirov, Vladimir Kukarskih, Vladimir Kukarskih, Cyrille B.K. Rathgeber, Nadja-Tamara Studer, Nadja-Tamara Studer, Patrick Fonti, Patrick Fonti   +19 more
doaj   +2 more sources

Quantitative anatomy or macroscopic parameters of compression wood of Picea abies (L.) H. Karst.? Defining the optimal parameters for dendrogeomorphic purposes

IAWA Journal, 2022
Summary The quantification of the intensities of tree growth responses to the impact of geomorphic processes is a modern research trend in dendrogeomorphology. It enables a more sensitive assessment of the activity of the studied geomorphic process compared to the traditional use of growth disturbances.
Kristýna Wiśniewská, Karel Šilhán
openaire   +2 more sources