Q-NET – a new scholarly network on quantitative wood anatomy-Reference-Cited by-同舟云学术

Q-NET – a new scholarly network on quantitative wood anatomy

Published:2021-12 Issue: Volume:70 Page:125890
ISSN:1125-7865
Container-title:Dendrochronologia
language:en
Short-container-title:Dendrochronologia

Author:

von Arx Georg^ORCID,Carrer Marco,Crivellaro Alan,De Micco Veronica,Fonti Patrick^ORCID,Lens Frederic,Prendin Angela Luisa,Rosner Sabine^ORCID,Sass-Klaassen Ute

Publisher

Elsevier BV

Subject

Plant Science,Ecology

Reference38 articles.

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2. Dendroclimatic potential of dendroanatomy in temperature-sensitive Pinus sylvestris;Björklund;Dendrochronologia,2020

3. A broad survey of hydraulic and mechanical safety in the xylem of conifers;Bouche;J. Exp. Bot.,2014

4. Retrospective analysis of wood anatomical traits reveals a recent extension in tree cambial activity in two high-elevation conifers;Carrer;Front. Plant Sci.,2017

5. How does climate influence xylem morphogenesis over the growing season? Insights from long-term intra-ring anatomy in Picea abies;Castagneri;Ann. Bot.,2017

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2. Towards ROXAS AI: Deep learning for faster and more accurate conifer cell analysis;Dendrochronologia;2023-10

3. Wood identification of Cyclobalanopsis (Endl.) Oerst based on microscopic features and CTGAN-enhanced explainable machine learning models;Frontiers in Plant Science;2023-07-07

4. Advanced Workflow for Taking High-Quality Increment Cores - New Techniques and Devices;Journal of Visualized Experiments;2023-03-10

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