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The intrinsic water use efficiency (W) of trees serves as a key variable linking water and carbon fluxes in forest ecosystems. Interannual variations in aridity (e.g., represented by the Standardized Precipitation Evapotranspiration Index, SPEI) can cause changes in W. However, it is unclear whether the aridity constraint on W, as indicated by the sensitivity of W to SPEI (S), has changed with recent climate change. Here, we use stable carbon isotope abundance of tree rings from 296 sites to estimate interannual variation of W and S. S is defined as the slope in a linear regression of W against SPEI and is negative for most of the tree sites. Our findings suggest an increasing aridity constraint on W from 1951 to 2010, with the absolute value of S increasing by 112% over the period. This more negative trend in S is statistically significant for gymnosperms but not for angiosperms. The change in S over the past six decades is linked to rising aridity and atmospheric CO, as revealed by a theoretical stomatal model. Our study highlights the increasing aridity control on tree W variation and implies the resilience of tree intrinsic functions to aridity variability under future climate change.
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http://dx.doi.org/10.1038/s41467-025-62845-0 | DOI Listing |
Physiol Plant
September 2025
CAS Key Laboratory of Tropical Plant Resources and Sustainable Use, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Menglun, China.
Balsa (Ochroma lagopus Swartz), the world's lightest wood and a crucial material in wind turbine blades, holds significant potential to contribute to carbon neutrality efforts when cultivated in tropical areas such as Xishuangbanna, China. However, balsa trees planted in Xishuangbanna exhibit early branching, resulting in reduced wood yield. Our study investigated the pivotal factors in regulating shoot apical dominance and branching by comparing an early-branching cultivar from Indonesia with a late-branching cultivar from Ecuador.
View Article and Find Full Text PDFPlant Physiol Biochem
September 2025
Department of Environmental Biology, Sapienza University of Rome, P.le A. Moro 5, 00185, Rome, Italy; National Biodiversity Future Center (NBFC), Palermo, Italy. Electronic address:
This study investigates the responses of four Mediterranean tree species, Quercus ilex, Viburnum tinus, Acer campestre, and Fraxinus ornus, to urban-relevant abiotic stressors such as soil compaction, water deficit, and over-optimal temperature, applied singly and in combination under controlled experimental conditions. A total of 23 functional leaf traits spanning photosynthesis, water regulation, structural support, and leaf stoichiometry functions were measured. Species identity was the main driver of trait variability.
View Article and Find Full Text PDFIEEE Trans Comput Biol Bioinform
September 2025
This study proposes an Efficient and Explainable Ensemble-learning framework (EEE-framework) designed for early detection of non-small cell lung cancer (NSCLC) biomarkers using gene expression data, specifically addressing challenges of interpretability in detection outcomes. The EEEframework comprises two core modules. The first module constructs an ensemble-learning model balancing detection accuracy and interpretability.
View Article and Find Full Text PDFEnviron Geochem Health
August 2025
Green Low-Carbon Transport ResearchCenter, Sichuan CommunicationSurveying and Design Institute Co., Ltd., Chengdu, China.
The contribution analysis of influencing factors governing biochar-mediated heavy metal adsorption in aqueous systems holds significant implications for cost-effective water remediation. Current studies predominantly rely on single-model approaches to identify critical variables, which may introduce bias due to inherent model assumptions, thereby impeding systematic elucidation of impact mechanisms and variable interactions. To address this gap, we integrated twelve machine learning models with SHAP (Shapley Additive exPlanations) interpretation to holistically investigate determinants and key variables.
View Article and Find Full Text PDFRSC Adv
August 2025
Department of Physics, School of Advanced Engineering, UPES Dehradun India
Green synthesis is an emerging and sustainable approach for developing functional nanomaterials using environmentally benign resources. In this work, cobalt oxide (CoO) nanostructures were successfully synthesized a green synthesis, employing gel as a natural reducing and stabilizing agent. This phytochemical-assisted synthesis eliminates the need for hazardous chemicals and offers a cost-effective, eco-friendly alternative for nanomaterial fabrication.
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