Results 61 to 70 of about 460 (132)

Deep learning meets tree phenology modelling: PhenoFormer versus process‐based models

Methods in Ecology and Evolution, Volume 16, Issue 7, Page 1489-1506, July 2025.
Abstract Predicting phenology, that is the timing of seasonal events of plant life such as leaf emergence and colouration in relation to climate fluctuations, is essential for anticipating future changes in carbon sequestration and tree vitality in temperate forest ecosystems.
Vivien Sainte Fare Garnot, Lynsay Spafford, Jelle Lever, Christian Sigg, Barbara Pietragalla, Yann Vitasse, Arthur Gessler, Jan Dirk Wegner   +7 more
wiley   +1 more source

Bridging the gap between remotely sensed phenology and the underlying ecophysiological processes: The SWELL model

Methods in Ecology and Evolution, Volume 16, Issue 7, Page 1473-1488, July 2025.
Abstract Vegetation phenology studies the periodic recurrence of plant life‐cycle events and is essential for understanding ecosystem responses to environmental changes. Remote sensing has become a key tool for monitoring phenological events on large spatial and temporal scales, primarily using vegetation indices like the Normalized Difference ...
Sofia Bajocco, Carlo Ricotta, Simone Bregaglio   +2 more
wiley   +1 more source

Time-to-event analysis to evaluate dormancy status of single-bud cuttings: an example for grapevines

Plant Methods, 2018
Background The reduced growth of plants during the winter causes a lack in the perceptibility of the phenological events making challenging the study of dormancy. For deciduous crops, dormancy is generally determined by evaluating budbreak of single-node
Hector Camargo Alvarez, Melba Salazar-Gutiérrez, Diana Zapata, Markus Keller, Gerrit Hoogenboom   +4 more
doaj   +1 more source

Uncovering the role of solar radiation and water stress factors in constraining decadal intra‐site spring phenology variability in diverse ecosystems across the Northern Hemisphere

New Phytologist, Volume 246, Issue 5, Page 1986-2003, June 2025.
Summary The spring phenology has advanced significantly over recent decades with climate change, impacting large‐scale biogeochemical cycles, climate feedback, and other essential ecosystem processes. Although numerous prognostic models have been developed for spring phenology, regional analyses of the optimality (OPT) strategy model that incorporate ...
Yating Gu, Lin Meng, Yantian Wang, Zherong Wu, Yuhao Pan, Yingyi Zhao, Matteo Detto, Jin Wu   +7 more
wiley   +1 more source

From bud formation to flowering: transcriptomic state defines the cherry developmental phases of sweet cherry bud dormancy

BMC Genomics, 2019
Background Bud dormancy is a crucial stage in perennial trees and allows survival over winter to ensure optimal flowering and fruit production. Recent work highlighted physiological and molecular events occurring during bud dormancy in trees.
Noémie Vimont, Mathieu Fouché, José Antonio Campoy, Meixuezi Tong, Mustapha Arkoun, Jean-Claude Yvin, Philip A. Wigge, Elisabeth Dirlewanger, Sandra Cortijo, Bénédicte Wenden   +9 more
doaj   +1 more source

A General Model for the Seasonal to Decadal Dynamics of Leaf Area

Global Change Biology, Volume 31, Issue 3, March 2025.
We extend the theoretical basis for understanding how climate affects ecosystem processes and provide an optimality‐based model to predict the seasonal dynamics of leaf phenology in response to climate change that could improve land‐surface models. ABSTRACT Leaf phenology, represented at the ecosystem scale by the seasonal dynamics of leaf area index ...
Boya Zhou, Wenjia Cai, Ziqi Zhu, Han Wang, Sandy P. Harrison, I. Colin Prentice   +5 more
wiley   +1 more source

New York State Climate Impacts Assessment Chapter 03: Agriculture

Annals of the New York Academy of Sciences, Volume 1542, Issue 1, Page 146-213, December 2024.
Abstract Agriculture is a vital industry in New York State, which ranks among the top‐producing states for dairy, fruits, and several other commodities. As agriculture depends on the weather and specific climatic conditions, this sector faces extraordinary challenges as New York's climate changes.
Deborah Aller, Allison M. Chatrchyan, Alejandro Calixto, Jaime Cummings, Ariel Ortiz‐Bobea, Gregory Peck, Junior Schouten, Benjamin Weikert, Elizabeth Wolters, Amanda Stevens   +9 more
wiley   +1 more source

Impacts of climate change on the transcriptional dynamics and timing of bud dormancy release in Yoshino‐cherry tree

PLANTS, PEOPLE, PLANET, Volume 6, Issue 6, Page 1505-1521, November 2024.
The iconic Yoshino cherry tree in Japan is experiencing shifts in its blossom timing due to climate warming. To develop a genetically informed predictive model for bud dormancy release, we examined seasonal gene expression in Yoshino cherry trees at three different locations.
Atsuko Miyawaki‐Kuwakado, Qingmin Han, Keiko Kitamura, Akiko Satake   +3 more
wiley   +1 more source

Greening‐Induced Biophysical Impacts Lead to Earlier Spring and Autumn Phenology in Temperate and Boreal Forests

Earth's Future, Volume 12, Issue 11, November 2024.
Abstract Tree phenology, the timing of periodic biological events in trees, is highly sensitive to climate change. Previous studies have indicated that forest greening can impact the local climate by modifying the seasonal surface energy budget. However, the understanding of tree phenological responses to forest greening at large spatial scales remains
Jing Guo, Jinmei Wang, Yuxin Qiao, Xu Huang, Nicholas G. Smith, Zhiyong Liu, Rui Zhang, Xiuzhi Chen, Chaoyang Wu, Josep Peñuelas, Lei Chen   +10 more
wiley   +1 more source

Investigating properties of sweet cherry (Prunus avium) flower buds that help promote freezing avoidance by supercooling

Plant Biology, Volume 26, Issue 6, Page 1067-1078, October 2024.
This research enhances our understanding of how overwintering sweet cherry flower buds survive low temperatures, supporting the hypothesis of extra‐organ freezing. Abstract Mechanisms involved in the supercooling of plant tissues as a means of low temperature survival are still not fully understood.
E. Houghton, Y. Watanabe, D. Neilsen, L. M. Nelson, K. Hannam   +4 more
wiley   +1 more source