Wednesday, July 08, 2026

 

How tall and short trees can coexist in old growth forests



Efficiency of light interception and use drive secondary forest succession



Kyoto University

Main image - forest 

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A lush green forest, one of the study sites used in this study. While appearing peaceful at first glance, the forest is a fierce battleground for survival among trees.

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Credit: KyotoU / Yusuke Onoda






Kyoto, Japan -- Forests are shaped by light competition. The trees that grow the tallest have access to the most sunlight, blocking the rays and rendering the shaded space around them inhospitable to shorter trees below. In this stem exclusion phase of forest succession, the shorter trees often die. Yet scientists have observed that in old growth forests, trees of vastly different sizes successfully coexist, proving that reaching the top of the canopy is not the sole winning strategy for survival in a forest environment.

The height diversity of trees in mature forests indicates that light competition and species coexistence can balance out in forest succession. To understand how, quantifying light competition among trees is essential, but the complex architectural structures of natural forests and individual crowns have hindered rigorous scientific evaluation. A team of researchers from Kyoto University resolved to take on the challenge and solve this mystery.

"The competition for light among trees is frequently referred to as an evolutionary arms race, but trees of vastly different sizes successfully coexist in mature forests," says first author Yusuke Onoda. "We became interested in this paradox."

The team chose an approach with a novel framework analyzing a tree's relative growth rate, or the speed at which a tree grows relative to its size, separated into two key factors: light interception efficiency, which indicates how much sunlight a tree captures per unit of biomass, and light use efficiency, which describes how effectively a tree converts the intercepted sunlight into biomass. To test their framework in the wild, the scientists mapped the crown shapes and 3D light profiles of each tree within 12 different forest plots of varying ages in Japan, totaling more than 2,000 individual trees of 50 different species.

The results revealed a mechanistic explanation behind how light competition quantitatively drives secondary forest succession. In younger stands, or plots in a forest, taller trees have disproportionate advantages in light capture, forcing rapid height stratification. In older stands, however, the higher light use efficiency of shade-tolerant species enables them to thrive under tall canopies, promoting vertical species coexistence.

By uncovering the hidden mechanics of forest succession, this study offers a new perspective on how trees navigate light competition and establishes a new principle that explains how forests change across time and space. These insights have the potential to improve climate modeling and enable smarter forest management.

The team is applying their approach to other forest sites of different ages across various climate zones, including warm temperate and tropical forests. They hope this will validate and establish their framework as a general, universal principle on a global scale.

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The paper "Partitioning tree growth into light interception and use efficiencies clarifies the role of light competition in secondary forest succession" appeared on 8 July 2026 in the Journal of Ecology, with doi: 10.1111/1365-2745.70375

About Kyoto University

Kyoto University is one of Japan and Asia's premier research institutions, founded in 1897 and responsible for producing numerous Nobel laureates and winners of other prestigious international prizes. A broad curriculum across the arts and sciences at undergraduate and graduate levels complements several research centers, facilities, and offices around Japan and the world. For more information, please see: http://www.kyoto-u.ac.jp/en

By breaking down tree growth into light interception and use efficiencies, this study reveals how light competition drives secondary forest succession. In young stands, the superior light capture of taller trees dominates, forcing rapid height stratification. In older stands, higher light use efficiency of shade-tolerant species enables them to thrive under tall canopies, promoting vertical species coexistence.

Credit

KyotoU / Yusuke Onoda



 

Soil thickness controls landslide occurrence, study finds




University of Tsukuba






Tsukuba, Japan—Landslides triggered by heavy rainfall and earthquakes are becoming increasingly severe across Japan. However, accurately predicting their location and magnitude remains challenging. One obstacle is the difficulty of characterizing the shallow subsurface soil layers—directly involved in landslides. These layers are typically only tens of centimeters to a few meters thick. Advances in airborne laser surveying now make it possible to capture high-resolution topographic data before and after a disaster, allowing detailed analysis of landslide geometry. The team drew on these datasets to investigate the mechanisms that govern when and where landslides occur.

Working with pre- and post-event digital elevation models from catchments hit by past heavy-rainfall disasters, the researchers compared landslide area, depth, and slope gradient. They found that the widely assumed relationship between landslide area and depth holds only weakly, especially for shallow landslides, and that slope gradient exerts a much stronger control on depth. Notably, they found that the thickness of the failed soil layer falls within a relatively constrained range that varies systematically with slope gradient. Theoretical models such as the infinite slope stability framework, a standard tool for evaluating slope failure, have long predicted this pattern, but the study provides clear empirical confirmation across a large set of real disaster cases.

The findings suggest that the location and size of landslides can be estimated from relatively simple indicators, namely slope gradient and soil thickness. They also offer a foundation for hazard maps and risk assessments that account for the heavier rainfall expected under climate change. By making landslide assessments easier to apply in practice, the approach could strengthen disaster prevention and mitigation.

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This study was supported by JSPS KAKENHI (Grant Number JP20H03019-JP23H02246), the Environment Research and Technology Development Fund of the ERCA (JPMEERF20252004) funded by the Ministry of the Environment, and the Support for Pioneering Research Initiated by the Next Generation (SPRING) program funded by the Japan Science and Technology Agency.

 

Original Paper

Title of original paper:
Depth of rainfall induced landslides revealed by DEM of difference analysis using airborne LiDAR data in igneous terrains

Journal:
Scientific Reports

DOI:
10.1038/s41598-026-46714-4

Correspondence

Professor UCHIDA, Taro
Institute of Life and Environmental Sciences, University of Tsukuba

KUDO, Yuki
Doctoral Program in Environmental Studies, Degree Programs in Life and Earth Sciences, Graduate School of Science and Technology, University of Tsukuba

Related Link

Institute of Life and Environmental Sciences

 

Atomic-level engineering of Cu nanoclusters improves conversion of carbon dioxide to fuel



The careful fine-tuning of copper nanoclusters can make a big difference in how chemical reactions proceed – improving our ability to turn carbon dioxide into something useful




Tohoku University

Figure 1 

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Representation of the whole work with nanocluster structures and their CO₂ reduction capabilities. Hydrogen atoms are omitted for clarity. 

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Credit: Yuichi Negishi et al.





A collaborative research team from Tohoku University and the Indian Institute of Technology Indore has made a significant breakthrough in carbon dioxide (CO₂) conversion. Their discovery offers a promising strategy for converting harmful CO₂ into valuable fuels and chemicals under mild conditions, advancing efforts toward sustainable carbon utilization and clean energy technologies. The findings were published in JACS Au on June 30, 2026.

Nanoclusters made of copper (Cu) - an inexpensive, naturally abundant material - have been gaining traction as promising aids of catalytic transformations. If developed correctly, these nanoclusters can improve the efficiency of a reaction called the electrochemical CO₂ reduction reaction. Doing so may bring us closer to developing better renewable energy storage and becoming a carbon neutral society.

One issue in this reaction is that formate - an unwanted byproduct - is conventionally produced. To suppress formate production, the research team modulated the Cu(I)/Cu(II) ratio in a Cu nanocluster. Instead of formate, the reaction now selectively produces the desired outcome: methanol (CH3OH). This greatly improves the efficiency of the reaction.

To achieve this boost in efficiency, the researchers needed to precisely engineer the structure of the nanocluster. The result was a structurally well-defined sulfide-templated Cu nanocluster, [S@Cu₅₀S₁₂(StBu)₂₀(CF₃COO)₁₂] (S@Cu₅₀) featuring a unique core-shell architecture composed of an inner S@Cu₁₄S₁₂ core surrounded by an outer Cu36(StBu)20 shell protected by thiolate ligands. This allowed for the controlled modulation of the Cu(I)/Cu(II) ratio, while preserving the overall geometric framework.

In addition, the team compared this nanocluster to a reported Cu₅₀S₁₂(StBu)₂₀(CF₃COO)₁₂] (Cu₅₀) nanocluster analogue, to directly investigate the influence of valence-state changes on catalytic performance.

Although both nanoclusters share very similar structural frameworks, the introduction of a sulfide ion at the center of the S@Cu₅₀ cluster led to subtle but crucial changes in its electronic properties. Altering the overall valence-state distribution of Cu and shifting the electronic structure significantly changed how reaction intermediates interacted with the catalyst surface, ultimately redirecting CO₂ conversion.

The researchers found that although both nanoclusters exhibited comparable overall catalytic activity, their product selectivity during CO₂ electroreduction differed remarkably. While Cu₅₀ predominantly produced formate (the undesired outcome) with a Faradaic efficiency of 38%, the newly developed nanocluster significantly suppressed formate formation to below 11% and instead enabled selective methanol production with a Faradaic efficiency of approximately 19% at −1.0 V versus RHE - a product completely absent in the Cu₅₀ system.

"This study provides the first clear evidence that precise modulation of the copper valence state in Cu nanoclusters can directly influence the selectivity of CO₂ reduction pathways," explains Professor Negishi (Tohoku University).

This breakthrough marks an important step toward designing next-generation catalysts, where atomic-level control can unlock cleaner and more efficient pathways for converting CO₂ into valuable fuels.

Figure 2 

Detailed structural architecture of synthesized S@Cu₅₀ NC (a) Overall core-shell structural architecture (b) geometry of core and (c) geometry of shell. Hydrogen atoms are omitted for clarity. 

Credit

Yuichi Negishi et al.

 

A multi-criteria decision framework for selecting preventive maintenance measures on asphalt pavement: a case study of the Liuzhou North Ring Expressway





ELSP
A multi-criteria decision framework for selecting preventive maintenance measures on asphalt pavement: a case study of the Liuzhou North Ring Expressway. 

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A multi-criteria decision framework for selecting preventive maintenance measures on asphalt pavement: a case study of the Liuzhou North Ring Expressway.

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Credit: Zhen Wu, Mohd Rosli Mohd Hasan∗, Oumar Orozi Sougui /Universiti Sains Malaysia, Malaysia, Diyar Khan/Silesian University of Technology, Poland, Hainian Wang/Chang’an University, China,Hui Wang/Chongqing University, China






Using the Liuzhou North Ring Expressway in Guangxi as a case study, researchers developed a multi-level decision-making model comprising the comprehensive objective layer, criterion layer, indicator layer, and scheme layer. By combining road condition assessment with weighted evaluation factors, the optimal maintenance plan was determined. This achievement, published in the journal SC, shows that ultra-thin cover and composite seal coat technologies are highly reasonable in ranking and weight allocation, highly aligned with actual engineering needs, and provide solutions for maintenance decisions by management departments.

As expressway networks across China continue to age and expand, with limited budgets and diverse maintenance options, choosing the most effective preventive maintenance measures for thousands of kilometers of asphalt pavement is no longer just a technical issue; it is a costly and complex management challenge. To address these prominent issues, the research team has developed a multi-level decision-making framework for preventive asphalt pavement maintenance, successfully transforming the complex decision-making process into quantifiable evaluation models. The research results were recently published in the journal SC, providing scientific, transparent, and practical solutions.

Through a practical case study of the Liuzhou North Ring Expressway in Guangxi, the research team proposed a decision framework based on the Analytic Hierarchy Process Method (AHP). This framework addresses how to select maintenance measures. By establishing a four-level evaluation system that includes the objective layer, criterion layer, indicator layer, and scheme layer, it summarizes the core demands of highway maintenance into three dimensions. Researchers consider quality and construction difficulty, and incorporate economic cost, expected pavement service life, and environmental protection into the evaluation system. The system includes three dimensions: technology, economy, and environment, with indicators covering the construction quality, material quality, project cost, service life, traffic disruption, and aesthetic effects.

By analyzing measured data from the Liuzhou North Ring Expressway, the model prioritized five mainstream maintenance technologies. The ultra-thin cover and composite seal coat ranked among the top in comprehensive scores. In the current context of budget constraints and increasing environmental requirements, these two technologies strike the best balance between improving pavement performance, extending service life, and reducing environmental impact. Sensitivity analysis, simulating decision outcomes under different weightings, confirmed the model's robustness. Whether management focuses on technological enhancement or cost control, this framework provides consistent recommendations for decision-making.

By scientifically weighing various indicators, the study draws key conclusions: cost is the core factor, but not the only one. Among the factors influencing decision-making, unit cost remains the most direct influence, while environmental protection indicators and service life should not be overlooked. Using quantitative scoring, the study prioritized various curing techniques. In practice, ultra-thin cover and composite seal coat were rated as the preferred preventive maintenance solutions due to their balance between technical performance and economic benefits.

The biggest highlight of this study is its practicality. It is not just an academic theory, but a practical management tool that helps management departments conduct scientific evaluations and invest in the most cost-effective maintenance technologies. Through timely, scientific preventive interventions, the ageing of roads can be delayed. A clear scoring system is provided, ensuring that every decision in the maintenance project is traceable and reduces subjective arbitrariness in the decision-making process.

The research results show that this decision-making framework can be adjusted according to traffic flow, climate conditions, and management models in different regions, offering strong regional applicability. With the popularization of smart transportation technologies, this system will help China's expressway maintenance and management develop toward more refined and intelligent directions. Currently, the model has completed preliminary validation in real-world engineering settings, demonstrating close alignment with maintenance needs. In the future, the team plans to expand the pilot scope and introduce more intelligent evaluation methods, such as fuzzy mathematics and machine learning, to meet more complex road network maintenance needs. This marks a shift in the operation and maintenance of China's expressways from post-incident firefighting repairs to precise prevention, supporting the development of an efficient, green, and safe expressway network.

This Paper “A multi-criteria decision framework for selecting preventive maintenance measures on asphalt pavement: a case study of the Liuzhou North Ring Expressway” was published in the journal Smart Construction.

Citation: Wu Z, Mohd Hasan MR, Sougui OO, Khan D, Wang H, et al. A multi-criteria decision framework for selecting preventive maintenance measures on asphalt pavement: a case study of the Liuzhou North Ring Expressway. Smart Constr. 2026(2):0011, https://doi.org/10.55092/sc20260011.

 

Sunlight-powered chemistry reduces hazardous oxidant risk



Green process generates a reactive oxidant only as needed, reducing hazardous inventory while producing precision reagents for pharmaceutical synthesis




The University of Osaka

Fig. 1 

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Light-driven, green and safe access to Davis reagents

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Credit: The University of Osaka





Osaka, Japan — In chemical manufacturing, one of the most difficult safety challenges is not just making useful molecules, but managing dangerous reagents on the way. This is especially true for the synthesis of Davis reagents, important tools for building pharmaceutical molecules, which has traditionally relied on bulk amounts of meta-chloroperbenzoic acid (mCPBA), a powerful oxidant that can pose serious explosion risks during transport, storage, and scale-up. Researchers at the University of Osaka have now found a way around that problem, instead of storing the oxidant, they make it only when needed, using light and oxygen.

A research team led by Professor Shinobu Takizawa at SANKEN developed a safe and sustainable sequential process for preparing Davis reagents. Instead of handling bulk meta-chloroperbenzoic acid (mCPBA), a powerful but potentially explosive oxidant, the method produces mCPBA in situ from meta-chlorobenzaldehyde and molecular oxygen under sunlight or LED irradiation, and immediately uses it to oxidize N-sulfonyl imines.

The key advance is that the oxidant is generated only as needed. Kinetic analysis showed that mCPBA forms in the reaction mixture but does not accumulate to detectable levels, because it is consumed essentially as soon as it is produced. This greatly reduces the risks associated with storing or handling bulk peracids.

The method also aligns with green chemistry principles. The reaction proceeds at ambient temperature, avoids halogenated solvents, and can be driven by natural sunlight or low-energy LEDs. The researchers also demonstrated broad substrate scope and gram-scale synthesis, obtaining the target product in 76% isolated yield under sunlight.

Professor Takizawa commented, “Developing technologies that manufacture essential compounds for fine organic synthesis in safer and more environmentally friendly ways is an important challenge for realizing a sustainable society. This work proposes a new organic synthesis process that combines safety with environmental compatibility.”

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The article, “Kinetically guided on-demand mCPBA generation enables safe and sustainable light-driven synthesis of Davis reagents,” was published in Green Chemistry at DOI: https://doi.org/10.1039/d6gc02210c

 

About The University of Osaka

The University of Osaka was founded in 1931 as one of the seven imperial universities of Japan and is now one of Japan's leading comprehensive universities with a broad disciplinary spectrum. This strength is coupled with a singular drive for innovation that extends throughout the scientific process, from fundamental research to the creation of applied technology with positive economic impacts. Its commitment to innovation has been recognized in Japan and around the world. Now, The University of Osaka is leveraging its role as a Designated National University Corporation selected by the Ministry of Education, Culture, Sports, Science and Technology to contribute to innovation for human welfare, sustainable development of society, and social transformation.

Website: https://resou.osaka-u.ac.jp/en



Fig. 2 

Caption

On-demand generation of mCPBA from an aldehyde under light irradiation and its immediate use in imine oxidation to produce the Davis reagent, avoiding the accumulation of hazardous peroxide.

Credit

The University of Osaka

 

Beyond heat: New infrared filter for thermal cameras could detect pollution and disease





ARC Centre of Excellence for Transformative Meta-Optical Systems
The Researchers field tested the infrared sensors in drones 

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The Researchers field tested the infrared sensors in drones

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Credit: Oleg Bannik






Australian researchers have developed a tiny, electrically tunable infrared filter that could help shrink bulky thermal sensing systems onto portable chips – potentially opening the door to handheld pollution detectors, compact multispectral cameras and next-generation chemical sensing devices.

The technology, developed by the Australian Research Council Centre of Excellence for Transformative Meta-Optical Systems researchers  at the TMOS nodes at The University of Western Australia (UWA) and The Australian National University (ANU), works in the long-wave infrared region – the part of the spectrum associated with thermal radiation emitted by objects that are near room temperature.

Their results were published in Advanced Materials Technologies.

While conventional thermal cameras mainly measure heat intensity, the new device was designed to help infrared systems distinguish between different materials and gases based on their spectral ‘fingerprints’.

Lead author, TMOS PhD Student Oleg Bannik, at the UWA node, says one useful way to think of the technology “is as ‘colour vision’ for thermal imaging.”

“Instead of seeing only hot and cold, a camera could compare several carefully selected infrared bands, similar to how the human eye combines red, green and blue wavelengths to perceive colour,” Bannik says.

“That could allow systems to tell the difference between gases, chemicals or materials that look identical in ordinary thermal images.”

For decades, infrared spectroscopy was restricted to labs, military systems and expensive industrial equipment. These were machines with mirrors, lenses and moving parts – but were often too bulky and power-hungry to leave controlled environments.

The device itself is a microscopic ‘sandwich’ of suspended gold and silicon membranes perforated with nanoscale holes.

By electrically changing the tiny gap between the layers – across distances smaller than a micron – the researchers could continuously tune which infrared wavelengths passed through the structure.

The work relies on a phenomenon known as ‘extraordinary optical transmission,’ where light passes through tiny holes in metallic films far more efficiently than expected.

In the team’s device, nanoscale movements strongly alter the infrared response of the system.

“The most counterintuitive part is that changing a gap by only a few hundred nanometres can strongly tune infrared light with wavelengths around ten microns,” Bannik says.

“Tiny nanoscale motions end up controlling much larger infrared waves through near-field plasmonic interactions.”

In laboratory testing, the researchers tuned the transmission peak from around 8 micrometres to 9.8 micrometres in wavelength using voltages below 10 volts. Simulations suggest the tuning range could eventually extend beyond the long-wave infrared region.

Unlike many existing infrared filtering systems, which rely on comparatively large moving optical components, the new approach operates using extremely small membrane motions and low power consumption.

“It is important to understand that, by itself, the device is only a tunable spectral filter, not a complete sensing system,” Bannik says.

“However, when combined with a thermal detector, it can add entirely new capabilities to infrared cameras and sensing platforms.”

He says environmental monitoring is one of the strongest potential applications, particularly for detecting methane leaks and industrial emissions.

“The technology could also benefit industrial safety, thermal imaging, medical diagnostics and defence systems where identifying materials matters more than simply measuring temperature,” Bannik says.

The paper points to the possibility of medical application, with spectrally selective thermal imaging systems capable of detecting subtle physiological changes invisible to conventional thermal cameras.

“The most realistic applications are non-contact diagnostics and advanced thermal imaging,” Bannik says.

“Different tissues emit infrared radiation differently, so spectrally selective thermal imaging could potentially help identify inflammation, monitor wounds or detect subtle physiological changes invisible to standard thermal cameras.”

These lightweight, low-power infrared sensors could also be especially useful in drones and portable field systems.

“Drones are probably the most realistic near-term platform because they benefit enormously from lightweight, low-power sensors,” he says.

Still, significant engineering challenges remain before the technology leaves the lab, particularly around manufacturing reliability and contamination control at extremely small scales.

“One of the hardest engineering challenges was maintaining extremely flat suspended membranes separated by gaps smaller than a micron,” Bannik says.

“At these scales, even dust particles only a few hundred nanometres wide can block membrane motion or distort the optical response.”

“The physics works well, but turning delicate laboratory devices into robust commercial products is a major engineering challenge.”

He says the work points to a future where bulky infrared spectrometers could eventually be replaced by compact, chip-scale systems.

“What makes this work exciting is the combination of advanced physics with a very practical goal,” Bannik says.

“The idea that nanometre-scale motion can give machines a richer understanding of the thermal and chemical world is both scientifically fascinating and potentially very useful in real-world sensing systems.”