Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Tree mortality is a key factor influencing forest functions and dynamics, but our understanding of the mechanisms leading to mortality and the associated changes in tree growth rates are still limited. We compiled a new pan-continental tree-ring width database from sites where both dead and living trees were sampled (2970 dead and 4224 living trees from 190 sites, including 36 species), and compared early and recent growth rates between trees that died and those that survived a given mortality event. We observed a decrease in radial growth before death in ca. 84% of the mortality events. The extent and duration of these reductions were highly variable (1-100 years in 96% of events) due to the complex interactions among study species and the source(s) of mortality. Strong and long-lasting declines were found for gymnosperms, shade- and drought-tolerant species, and trees that died from competition. Angiosperms and trees that died due to biotic attacks (especially bark-beetles) typically showed relatively small and short-term growth reductions. Our analysis did not highlight any universal trade-off between early growth and tree longevity within a species, although this result may also reflect high variability in sampling design among sites. The intersite and interspecific variability in growth patterns before mortality provides valuable information on the nature of the mortality process, which is consistent with our understanding of the physiological mechanisms leading to mortality. Abrupt changes in growth immediately before death can be associated with generalized hydraulic failure and/or bark-beetle attack, while long-term decrease in growth may be associated with a gradual decline in hydraulic performance coupled with depletion in carbon reserves. Our results imply that growth-based mortality algorithms may be a powerful tool for predicting gymnosperm mortality induced by chronic stress, but not necessarily so for angiosperms and in case of intense drought or bark-beetle outbreaks.

Download full-text PDF

Source
http://dx.doi.org/10.1111/gcb.13535DOI Listing

Publication Analysis

Top Keywords

trees died
12
mortality
11
growth
9
radial growth
8
growth patterns
8
tree mortality
8
mechanisms leading
8
leading mortality
8
growth rates
8
living trees
8

Similar Publications

An oomycete effector targets host calmodulin to suppress plant immunity.

Plant J

September 2025

National Key Laboratory of Green Pesticide/Guangdong Province Key Laboratory of Microbial Signals and Disease Control, South China Agricultural University, Guangzhou, 510642, China.

Tropical and subtropical fruit trees face serious threats of oomycete-caused plant diseases. However, the molecular mechanism by which oomycete pathogens suppress the immunity of these fruit trees remains largely unclear. Effectors play a crucial role in the pathogenesis of plant pathogenic oomycetes.

View Article and Find Full Text PDF

Parameter Estimation from Phylogenetic Trees Using Neural Networks and Ensemble Learning.

Syst Biol

September 2025

Groningen Institute for Evolutionary Life Sciences, University of Groningen, Nijenborgh 7, Groningen, 9747 AG, The Netherlands.

Species diversification is characterized by speciation and extinction, the rates of which can, under some assumptions, be estimated from time-calibrated phylogenies. However, maximum likelihood estimation methods (MLE) for inferring rates are limited to simpler models and can show bias, particularly in small phylogenies. Likelihood-free methods to estimate parameters of diversification models using deep learning have started to emerge, but how robust neural network methods are at handling the intricate nature of phylogenetic data remains an open question.

View Article and Find Full Text PDF

Background: Programmed cell death protein-ligand 1 (PD-L1) expression is an important marker for immunotherapy in locally advanced non-small cell lung cancer (LA-NSCLC). PD-L1 expression has a bi-directional positive feedback relationship with glycolysis status.

Objective: This study aimed to develop a metabolic habitat model based on F-fluorodeoxyglucose positron emission tomography/computed tomography (F-FDG PET/CT) images to predict PD-L1 expression levels in patients with LA-NSCLC, and to explore relevant biological characteristics.

View Article and Find Full Text PDF

Importance: Cutaneous squamous cell carcinoma is a common cancer, and approximately 5% of cases present with high-risk features, such as regional nodal metastases. Postoperative radiotherapy (PORT) improves outcomes in this group, but the TROG 05.01 trial found no added benefit of concurrent chemotherapy.

View Article and Find Full Text PDF

is an invasive pest that contributes to pine tree decline, leading to visual symptoms such as needle discoloration, crown thinning, and eventual tree death. Detecting these visible phenotypic signs from drone imagery is challenging due to elongated or irregular crown shapes, weak color differences, and occlusion within dense forests. This study introduces YOLO-PTHD, a lightweight deep learning model designed for detecting visible signs of pine decline in UAV images.

View Article and Find Full Text PDF