Results 11 to 20 of about 8,100 (235)

Mask, Train, Repeat! Artificial Intelligence for Quantitative Wood Anatomy [PDF]

Frontiers in Plant Science, 2021
The recent developments in artificial intelligence have the potential to facilitate new research methods in ecology. Especially Deep Convolutional Neural Networks (DCNNs) have been shown to outperform other approaches in automatic image analyses. Here we
Mario Trouillier, Richard L Peters, Georg Von Arx   +2 more
exaly   +9 more sources

Quantitative Wood Anatomy—Practical Guidelines [PDF]

Frontiers in Plant Science, 2016
Quantitative wood anatomy analyzes the variability of xylem anatomical features in trees, shrubs and herbaceous species to address research questions related to plant functioning, growth and environment.
Alan Crivellaro, Angela Luisa Prendin, Katarina Cufar   +2 more
exaly   +10 more sources

Tree ring segmentation using UNEt TRansformer neural network on stained microsections for quantitative wood anatomy [PDF]

Frontiers in Plant Science, 2023
Forests are critical in the terrestrial carbon cycle, and the knowledge of their response to ongoing climate change will be crucial for determining future carbon fluxes and climate trajectories.
Ana I Garcia-Cervigon, JOSÉ MIGUEL Olano, Angel García-Pedrero   +2 more
exaly   +8 more sources

Editorial: Quantitative wood anatomy to explore tree responses to global change [PDF]

Frontiers in Plant Science, 2022
Ignacio Garcia-Gonzalez, Georg Von Arx, Sérgio Rossi   +2 more
exaly   +7 more sources

Enabling high-throughput quantitative wood anatomy through a dedicated pipeline [PDF]

Plant Methods
Throughout their lifetime, trees store valuable environmental information within their wood. Unlocking this information requires quantitative analysis, in most cases of the surface of wood.
Jan Van den Bulcke, Louis Verschuren, Ruben De Blaere, Simon Vansuyt, Maxime Dekegeleer, Pierre Kibleur, Olivier Pieters, Tom De Mil, Wannes Hubau, Hans Beeckman, Joris Van Acker, Francis wyffels   +11 more
doaj   +6 more sources

Quantitative wood anatomy of Juniperus excelsa from Lebanon as a potential hydroclimate archive [PDF]

Frontiers in Plant Science
The Middle East and North Africa is a hotspot for negative climate change impacts and potentially for conflicts over water resources. To protect future generations from destabilization and marginalization, governments need to consider the impact of ...
Mansour Mdawar, Mansour Mdawar, Daniel Balanzategui, Daniel Balanzategui, Daniel Balanzategui, Ramzi Touchan, Emanuele Ziaco, Isabel Dorado-Liñán, Gerhard Helle, Ingo Heinrich, Ingo Heinrich, Ingo Heinrich   +11 more
doaj   +6 more sources

SabaTracheid 1.0: A Novel Program for Quantitative Analysis of Conifer Wood Anatomy — A Demonstration on African Juniper From the Blue Nile Basin [PDF]

Frontiers in Plant Science, 2021
Knowledge about past climates, especially at a seasonal time scale, is important as it allows informed decisions to be made to mitigate future climate change.
Iain Robertson, Cyrille B K Rathgeber, Eyob Gebrehiwot Gebregeorgis   +2 more
exaly   +8 more sources

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

Dendrochronologia, 2021
Abstract Quantitative wood anatomy (QWA) is a dynamic research approach of increasing interest that can provide answers to a wide range of research questions across different disciplines. However, the lack of common protocols and knowledge gaps hinder the realisation of the full potential of QWA.
Alan Crivellaro, Marina Fonti, Veronica De Micco   +2 more
exaly   +4 more sources

Revealing Polylepis microphylla as a suitable tree species for dendrochronology and quantitative wood anatomy in the Andean montane forests

Dendrochronologia, 2022
Fil: Rodríguez Morata, C..
Clara Rodríguez Morata
exaly   +5 more sources

Wood Anatomy of Douglas-Fir in Eastern Arizona and Its Relationship With Pacific Basin Climate

Frontiers in Plant Science, 2021
Dendroclimatic reconstructions, which are a well-known tool for extending records of climatic variability, have recently been expanded by using wood anatomical parameters.
Ingo Heinrich, Emanuele Ziaco, Daniel Balanzategui   +2 more
exaly   +3 more sources