Friday, January 09, 2026

 

From sediment to surface: How invisible plumes trigger harmful algal blooms




Chinese Society for Environmental Sciences






Harmful algal blooms pose growing risks to freshwater ecosystems, drinking water security, and public health. Yet despite their dramatic appearance at the water surface, the earliest stages of these events often unfold quietly and invisibly below. This study shows that algal blooms can begin days earlier than previously recognized, originating from chlorophyll-rich plumes rising from lake sediments before any surface discoloration appears. Using ultrahigh-resolution three-dimensional monitoring, researchers observed how these hidden subsurface plumes move upward through the water column and later spread horizontally, ultimately seeding surface blooms. The findings reveal that bloom formation follows a structured bottom-up process rather than a sudden surface accumulation, offering new opportunities for early detection and prevention.

Globally, harmful algal blooms have intensified over recent decades as a result of nutrient enrichment, climate warming, and increasingly variable hydrological conditions. While surface blooms are easily detected by satellites or visual surveys, their subsurface precursors remain poorly understood. Lake sediments are known to store both nutrients and dormant algal cells, but conventional monitoring tools lack the spatial and temporal resolution needed to track how these benthic reservoirs contribute to bloom initiation. Satellite observations cannot penetrate deep waters, and routine sampling often misses rapid, localized events occurring near the lakebed. As a result, the physical mechanisms linking sediment disturbance to surface bloom outbreaks have remained largely speculative. Based on these challenges, it is essential to conduct in-depth research to uncover subsurface bloom precursors and the pathways by which they are transported upward.

Researchers from Harbin Institute of Technology and collaborating institutions reported their findings (DOI: 10.1016/j.ese.2025.100652) on December 25, 2025, in Environmental Science and Ecotechnology. The study introduces an ultrahigh-resolution three-dimensional monitoring framework that uses an autonomous underwater drone to observe algal dynamics in a freshwater reservoir. Over a four-month period, the system collected more than 2.8 million data points, allowing researchers to track how rainfall-driven disturbances at the sediment–water interface generate chlorophyll-rich plumes that rise through the water column and ultimately fuel surface algal blooms.

The team deployed a remotely operated underwater vehicle equipped with multiparameter sensors and samplers to map the reservoir at an unprecedented resolution—five meters horizontally and one meter vertically. This level of detail enabled continuous, volumetric monitoring of chlorophyll-a concentrations throughout the entire water column. In effect, the researchers could observe the lake as a dynamic three-dimensional system rather than a flat surface snapshot. During heavy rainfall events, the data consistently revealed a three-stage process. First, chlorophyll anomalies appeared near the lakebed as rainfall-induced turbulence resuspended sediment and dormant algal cells. Next, instead of dispersing immediately, these anomalies formed coherent plumes that ascended vertically while maintaining high biomass concentrations. Finally, after a delay of approximately one to two days, the plumes reached surface waters and expanded laterally, triggering visible algal blooms.

Statistical analyses showed that deep-water chlorophyll peaks systematically preceded surface blooms, providing direct evidence for a bottom-up initiation mechanism. Spatial comparisons further demonstrated strong correlations between surface bloom hotspots and areas with high benthic algal stocks combined with strong wind–rain forcing. In contrast, simulations based on conventional monitoring approaches often failed to detect these short-lived subsurface signals, identifying blooms only after surface concentrations had already peaked. Together, these results indicate that sediment-derived plumes act as reliable early indicators of impending algal blooms, but only when monitoring systems are capable of resolving fine-scale, three-dimensional processes.

“This study fundamentally changes how we understand algal bloom initiation,” said Prof. Troy Yu Tao from Harbin Institute of Technology, the leading author of the work. “For a long time, blooms were treated as sudden surface events. Our results show that they are actually the final stage of an organized process that begins near the sediment days earlier. By detecting these hidden subsurface dynamics, we gain a valuable time window for intervention.”

The findings highlight the potential of ultrahigh-resolution underwater monitoring as an early-warning tool for harmful algal blooms. By identifying sediment-derived precursors before surface proliferation occurs, water managers could shift from reactive responses to proactive prevention. Targeted interventions—such as localized sediment management in high-risk zones—may reduce bloom severity while minimizing ecological disruption. As climate change intensifies rainfall and hydrodynamic disturbances in freshwater systems, process-based monitoring approaches like this will become increasingly important for safeguarding ecosystems, protecting drinking water supplies, and improving the resilience of aquatic environments worldwide.

###

References

DOI

https://doi.org/10.1016/j.ese.2025.100652

Original Source URL

https://doi.org/10.1016/j.ese.2025.100652

Funding information

This work was supported by the National Natural Science Foundation of China (No. 52321005, No. 52293443, and No. 52230004), Shenzhen Science and Technology Program (No. KQTD20190929172630447), Shenzhen Key Research Project (No. GXWD20220817145054002), Shenzhen Natural Science Foundation (No. JCYJ20240813104812017), and Talent Recruitment Project of Guangdong (No. 2021QN020106).

About Environmental Science and Ecotechnology

Environmental Science and Ecotechnology (ISSN 2666-4984) is an international, peer-reviewed, and open-access journal published by Elsevier. The journal publishes significant views and research across the full spectrum of ecology and environmental sciences, such as climate change, sustainability, biodiversity conservation, environment & health, green catalysis/processing for pollution control, and AI-driven environmental engineering. The latest impact factor of ESE is 14.3, according to the Journal Ci

 

Facial expressions mimicry is not just politeness – It is part of the decision-making system



A new study from the School of Psychological Sciences at TAU




Tel-Aviv University

Research team - Left to right - Prof. Yaara Yeshurun & Liron Amihai 

image: 

Research team - Left to right - Prof. Yaara Yeshurun & Liron Amihai

view more 

Credit: Tel Aviv University




A new study from the School of Psychological Sciences at TAU

 

Facial expressions mimicry is not just politeness –

It is part of the decision-making system

 

• A new study from the School of Psychological Sciences at Tel Aviv University reveals a surprising finding – it turns out that our the extent of which we mimic other people’s facial expressions “reveals” what we prefer.

• The research team: “This is a significant step toward understanding how we choose, feel, and empathize with others, and it has many implications for the worlds of advertising, marketing, and decision-making processes.”

Imagine sitting across from someone describing two movies to you. You listen attentively, trying to decide which one interests you more — but during that time, without noticing, your face already reveals what you prefer. You smile slightly when they smile, raise your eyebrows when they surprise you, tense your muscles when they emphasize something. This phenomenon is called facial mimicry — and it turns out to be a better predictor of your choice than anything else.

 

This is the central finding of a new study from the School of Psychological Sciences at Tel Aviv University, led by doctoral student Liron Amihai in the lab of Prof. Yaara Yeshurun (together with Elinor Sharvit and Hila Man), in collaboration with Prof. Yael Hanein of TAU’s Fleischman Faculty of Engineering. The study was published in Communications Psychology.

 

The study was conducted with dozens of pairs in which one person described two different films to their partner, after which the participants had to choose which film they preferred to watch. Using unique technology, the research team was able to track micro-movements of the face that are not visible to the naked eye.

 

The findings showed that participants consistently preferred the option during which they showed more mimicry of the speaker's positive expressions . They did so even when they were explicitly instructed to choose according to their personal taste and not according to the speaker.

 

This finding is particularly interesting given that the listeners’ own facial expressions (for example, how much they smiled in general) did not predict their choice, but rather the degree to which they mimicked the speaker.

 

In another phase of the experiment, participants listened to an actress reading the movie summaries using audio only, without any video. Even though they could not see her face, the researchers found that the participants mimicked her “smile in the voice” and this mimicry again predicted their choice.

 

The research team: “The study indicates that facial mimicry is not only a social mechanism that helps us connect with other people. It likely also serves as an ‘internal signal’ to the brain that is indexing agreement.”

 

Liron: “The study showed that we are not just listening to a story — we are actually being ‘swept’ toward the speaker with our facial expressions’ mimicry, and this muscular feedback might influence our decisions. This mimicry often happens automatically, and it can predict which option we will prefer long before we think about it in words. Facial mimicry, therefore, is not merely a polite gesture, but also a part of the decision-making system.”

 

Liron concludes: “With the help of this technology and these findings, we may be able in the future to build systems that identify emotional preferences naturally — without asking a single question.

In conclusion, the study illustrates that decision-making is not only a matter of thought — but also of feeling, bodily response, and unconscious communication. Facial mimicry emerged as a significant predictor of our preferences. This is a meaningful step toward understanding how we choose, feel, and empathize with others, and it has many implications for the worlds of advertising, marketing, and decision-making processes.”

Illustration of a participant in the study with an EMG electrode measuring her facial expressions activation. 

Illustration of a participant in the study with an EMG electrode measuring her facial expressions activation.

Credit

Tel Aviv University

Link to the article:

https://www.nature.com/articles/s44271-025-00351-1

 

Chinese mainland rapidly expands presence in global digital education research



The study maps global trends and highlights China’s growing impact between 2018 and 2023




ECNU Review of Education





]A new bibliometric study published in ECNU Review of Education offers a comprehensive overview of digital education research from 2018 to 2023. Analyzing 2,767 international peer-reviewed articles from the Scopus database, the study reveals significant global growth in the field and underscores the Chinese mainland’s rising academic influence.

Digital education has evolved into a complex domain integrating technological innovation, pedagogical reform, and socio-cultural transformation. According to the report made available online on June 12, 2025, and published in Volume 8, Issue 4 of ECNU Review of Education on November, 2025, global research output in this field grew at a compound annual rate of 35%, with the Chinese mainland achieving a faster growth rate of 47.2%. In 2023, 25% of the Chinese mainland’s publications ranked among the top 10% most cited globally, and 48.3% were published in high-impact journals—both exceeding global averages.

The study attributes this momentum to strategic policy support, robust infrastructure, increased international collaboration, and advances in digital technology. Publications from international partnerships demonstrate significantly higher citation impact, with the Chinese mainland’s internationally co-authored works showing a Field-Weighted Citation Impact (FWCI) more than three times that of domestic-only collaborations. As the study notes, “international collaboration plays a crucial role in enhancing research quality and impact.”

The report further identifies leading institutions and trending research themes. Globally, topics such as “technology integration,” “online learning,” and “COVID-19-driven digital transition” gained prominence. The Chinese mainland shows both convergence with and divergence from global trends, with notable attention to themes related to context-aware learning, computer-aided instruction, and broader developments in smart learning and digital support systems.

Beyond academia, the influence of digital education research is evident in policy and media engagement. From 2018 to 2023, over 400 publications were cited in policy documents or covered in news and social media. “Digital education is where our country can achieve breakthroughs in opening up new areas and forming fresh strength of educational development,” the study quotes from the Ministry of Education of the People’s Republic of China, highlighting the field’s alignment with national priorities.

While the Chinese mainland ranks among the top contributors by publication volume, the study notes that its overall academic impact still lags behind countries such as the UK and Australia. According to the authors, “ Further efforts are needed to enhance research quality, support the development of independent academic platforms, and expand domestic academic networks to ensure more balanced and sustainable growth.”

 

 

Regenerative farmers view nature as a meaningful partner in professional decision-making




University of Eastern Finland





In Finland, farmers who have transitioned to regenerative agriculture are forming a regenerative professional partnership with nature in their decision-making, a new study from the University of Eastern Finland shows.

Published in Agriculture and Human Values, the study explored the framework of the professional partnership in decision-making between Finnish regenerative farmers and nature. The study involved 86 farmers participating in the Carbon Action Project.

Regenerative agriculture is grounded in maximising soil cover, photosynthesis and microbial activity, while minimising disturbance. This enables food production that revitalises ecosystems and comprehensively strengthens their resilience in a changing climate and operational environment. Regenerative agriculture takes a holistic approach to well-being, encompassing ecological, economic, social and spiritual dimensions. Previous studies have shown that regenerative agriculture is more about a farmer-led social movement and personal journey than about specific farming practices.

“Regenerative agriculture is, fundamentally speaking, a way of living and expressing oneself in the world, co-creating with nature. Each farmer’s farm is their own creation,” Doctoral Researcher and lead author Soja Sädeharju of the University of Eastern Finland says.

Partnership with nature sets a framework and stands at the core of regenerative decision-making

Professional decision-making by farmers is intertwined with their connection with nature. Farmers participating in the study reported a deep connection with nature that guided their professional decisions, while also acknowledging the need to utilise nature to earn a living. To resolve this conflict, farmers developed a regenerative professional partnership with nature, as conceptualised in the study. This framework includes, as components contributing to decision-making, the farmer’s connection and relationship with nature, the roles of both the farmer and nature within this relationship, and communication and interaction between them.

The study examined this farmer–nature partnership in decision-making not only at the level of individual farms but also from a planetary perspective, paying particular attention to its ethical dimension. The study highlights a relational approach between humans and the world that transcends humanity.

“In the heart of regenerative thinking and regenerative practices is acknowledging nature’s agency and including it in deliberation and decision-making. However, this kind of thinking remains unfamiliar in Western cultures, where nature is traditionally viewed as a resource that is devoid of reason, and the property of humans,” Sädeharju notes.

Empirical research into the professional partnership between humans and nature remains limited. The present study offers a new perspective on the internal dimensions of decision-making among farmers practising regenerative agriculture. The study also deepens our understanding of nature’s agency by verbalising the tacit interactions between humans and nature.

“This understanding enables the genuine inclusion of tacit partners such as nature and future generations, and the adoption of a multidimensional perspective in decision-making.”

The study was funded by the Maj and Tor Nessling Foundation and by the Research Council of Finland.