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Study projects loss of brown macroalgae and seagrasses with global environmental change

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Study projects loss of brown macroalgae and seagrasses with global environmental change


Projected loss of brown macroalgae and seagrasses with global environmental change
Present distribution and projected end-of-century changes in global macrophyte species diversity. Credit: Nature Communications (2024). DOI: 10.1038/s41467-024-48273-6

Researchers predict that climate change will drive a substantial redistribution of brown seaweeds and seagrasses at the global scale. The projected changes are alarming due to the fundamental role of seaweeds and seagrasses in coastal ecosystems, and provide evidence of the pervasive impacts of climate change on marine life.

In a collaborative study between the University of Helsinki and the EU Joint Research Centre, researchers for the first time have modeled the future distribution of brown seaweeds and seagrasses at the global scale. They predict that by 2100, climate change will drive a substantial redistribution of both groups globally: Their local diversity will decline by 3–4% on average and their current distribution will shrink by 5–6%. More notably, the preferred habitat for both brown seaweeds and seagrasses will undergo a substantial global reduction (78–96%) and will shift among marine regions, with potential expansions into Arctic and Antarctic regions.

The research is published in the journal Nature Communications.

“We find it alarming that coastal areas worldwide will become dramatically less hospitable for habitat-forming macrophytes, as this might have severe and widespread impacts on coastal ecosystem functioning at the global scale. Interestingly, while global percentual declines in diversity show similar trends for seagrasses and brown macroalgae, the regional patterns are strikingly different between the two groups,” says Federica Manca, the lead author of the study from the University of Helsinki.

Why should we care about seaweeds and seagrasses?

Brown seaweeds and seagrasses provide important ecological and socio-economic services in coastal areas worldwide: They support coastal biodiversity and fisheries, ensure coastal protection, participate in ocean nutrient recycling, contribute to carbon sequestration and climate change mitigation.

As climate change is severely threatening macrophyte habitats and the services they provide, we urgently need to understand how both brown seaweeds and seagrasses will respond to changing climatic conditions in the coming decades.

Previous studies have modeled the future distribution of these habitat-forming macrophytes, focusing on regional or local scales only and on a limited number of species. In contrast, this study is the first to provide a comprehensive view of the effects of climate change on more than 200 species of brown seaweeds and seagrasses at the global scale.

The results show that the redistribution of these habitat-forming marine macrophytes will be geographically heterogeneous, and highlight the regions where the loss of macrophyte diversity and habitat will be most severe, such as the Pacific coast of South America for brown seaweeds, and the coast of Australia for seagrasses. Additionally, researchers have identified macrophyte species that will be more severely affected by climate change, like the Atlantic seaweed Laminaria digitata. The findings can help identify target areas and species for conservation, potentially buffering the impact of climate change.

Surprisingly, and contrary to expectations, the models did not predict severe losses of brown seaweed or seagrass diversity in the tropics but rather at intermediate and high latitudes, such as along the Atlantic coasts of Europe and in the Baltic Sea. This indicates that end-of-century climatic conditions in these regions might exceed the tolerance limits of resident macrophyte species. The Baltic Sea is at the forefront in the rate at which climate change is influencing the ecosystem.

“Combined with a legacy of multiple other disturbances (such as eutrophication) and low species diversity with only a few brown seaweeds and seagrasses, the Baltic Sea is exceptionally vulnerable to these predicted changes,” says Alf Norkko, professor at the Tvärminne Zoological Station, University of Helsinki.

“Another surprising—and alarming—result is the dramatic loss of highly suitable habitat for both macroalgae and seagrasses globally: Coastal areas worldwide will become substantially less hospitable for habitat-forming macrophytes,” adds Dr. Mar Cabeza from the Global Change and Conservation Group at the University of Helsinki.

The disappearance of these habitat-forming macrophytes can trigger cascading effects on other species, compromising the integrity of entire ecosystems and undermining ecological and socio-economic services important to human society. Thus, forecasting changes in the distribution of habitat-forming species is crucial to raise awareness of climate change impacts and foster conservation efforts accordingly.

“Our findings confirm, once again, that climate change might have profound impacts on ecosystems, promoting rapid and most often detrimental changes to the diversity and resilience of natural communities. In fact, habitat-forming macrophytes support biodiversity through an exceptional diversity of ecological interactions.

“Hence, their projected loss and redistribution might lead to unpredictable cascading effects, most likely resulting in the local extinction of many associated species,” says Giovanni Strona from the EU Joint Research Centre.

More information:
Federica Manca et al, Projected loss of brown macroalgae and seagrasses with global environmental change, Nature Communications (2024). DOI: 10.1038/s41467-024-48273-6

Citation:
Study projects loss of brown macroalgae and seagrasses with global environmental change (2024, June 27)
retrieved 27 June 2024
from https://phys.org/news/2024-06-loss-brown-macroalgae-seagrasses-global.html

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‘Splitting Germany into several price zones on the day-ahead power market might not achieve the intended goals’

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‘Splitting Germany into several price zones on the day-ahead power market might not achieve the intended goals’


electricity
Credit: Unsplash/CC0 Public Domain

Temporal and locational variations in power generation result in relatively large fluctuations in the power supply and power prices. Grid infrastructure providers are increasingly forced to intervene in order to balance supply and demand and avoid power outages. Consequently, the EU Commission is assessing a possible split of the German uniform price zone and the day-ahead market into smaller price zones.

Researchers at the Technical University of Munich (TUM) have shown that smaller price zones would have little effect on the power price or re-dispatch measures. By contrast, the use of nodal pricing would reduce overall costs for providing energy by 9%. The study is published in the journal Operations Research.

What political discussions are taking place on this topic, and what does your research show?

Current discussions revolve around dividing Germany into two to four bidding zones instead of the current uniform zone. The EU Commission has ordered a bidding zone review to reassess the price zones in the EU. In our study, we used the data set from the bidding zone review to analyze trends in power prices and the costs of re-dispatch measures under the assumption that Germany was divided into the proposed bidding zones. Never before was such a comprehensive data set available for analysis.

In addition, we calculated local (nodal) prices. Under a zonal price system, a single hourly price applies for the entire bidding zone. By contrast, a nodal system sets an individual price for each node.

How much would a nodal pricing rule reduce the total power costs?

With power price zones, it was evident that there would be practically no difference between the individual zonal prices. At the same time, the price variance and re-dispatch costs would not decrease significantly compared to the power price in a German uniform price zone. Several experts had expected a stronger impact from a zonal split. However, we do not see this in the data set provided for the bidding zone review.

With our calculations we were able to show that the lowest total costs would result if Germany were to use nodal pricing. Compared to the uniform price or zonal pricing, the total costs would be around 9% lower. That is in particular due to the fact that the market mechanism takes network restrictions into account and that it succeeds in efficiently allocating the available resources. As a result, costly re-dispatch measures are largely avoided.

To understand these effects, one must consider how power pricing currently works in Germany.

Power prices across Europe are determined in a day-ahead auction. Across Europe there are various price zones, each with its own electricity prices. The zones can be entire countries. However, some countries, such as Italy, are divided into several zones.

What is the situation in Germany?

Germany has only one price zone. It may happen, however, that large amounts of wind energy are generated in northern Germany, for example, while demand is particularly high in the south. But due to the limited grid capacity, not enough power can be transmitted from the north to the south. The uniform price for Germany determined in the day-ahead auction does not take this into account.

What problems result from the uniform price?

Under the current pricing mechanism, there is little incentive to adjust consumption on the demand side when electricity is in short supply—because the price at locations where power is scarce is the same everywhere in Germany.

In the example I mentioned, the production of wind power needs to be throttled in the north while expensive gas-fired power stations are fired up in the south to cover demand there. These re-dispatch measures are very costly. In 2023 they totaled 3.1 billion euros. That amount was passed on to consumers.

How could that be changed?

By replacing uniform prices for large power pricing zones by locational prices set for individual nodes in the grid. This system operates in many countries around the world, including the U.S. Texas has more than 4000 nodes, for example. Due to the fluctuating power supply, some nodes have excess supply at some times and less at others. This results in temporary downward or upward price movements at those locations.

When prices rise, there would be an incentive for the industry to reduce demand at these nodes. Either production would be shifted elsewhere or energy storage would be utilized. The demand-side flexibility would help grid operators to stabilize the network and substantially reduce the need for re-dispatch measures.

More information:
Mete Åžeref Ahunbay et al, Pricing Optimal Outcomes in Coupled and Non-convex Markets: Theory and Applications to Electricity Markets, Operations Research (2024). DOI: 10.1287/opre.2023.0401

Citation:
‘Splitting Germany into several price zones on the day-ahead power market might not achieve the intended goals’ (2024, June 27)
retrieved 27 June 2024
from https://phys.org/news/2024-06-germany-price-zones-day-power.html

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part may be reproduced without the written permission. The content is provided for information purposes only.





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Researchers successfully develop domestic 6G antenna measurement system

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Researchers successfully develop domestic 6G antenna measurement system


KRISS successfully develops domestic 6G antenna measurement system
Mobile 6G antenna measurement system developed by KRISS. Credit: Korea Research Institute of Standards and Science (KRISS)

In April 2019, South Korea ambitiously launched the world’s first 5G mobile communication service. While 5G in the 3.5 GHz band was commercialized, the communication quality did not meet consumer expectations. The installation of base stations in the 28 GHz band, which would provide true 5G service, was slow due to profitability concerns.

Consequently, the government reclaimed the frequency bands from all three major telecommunications companies last year. As countries around the world prepare for the 6G era, it is time to reflect on the disappointing experiences of 5G commercialization and focus on building the 6G infrastructure.

Korea Research Institute of Standards and Science (KRISS) has succeeded in developing domestically produced equipment to evaluate the performance of 6G communication antennas.

The paper is published in the journal IEEE Transactions on Instrumentation and Measurement.

As the frequency band increases, communication speed typically improves, but the communication range shortens. Since 6G communication (planned for 7–24 GHz) has a higher frequency band than the current 5G communication (3.5 GHz), antenna-related technologies are needed to address the issue of shortened communication range.

To ensure the proper functioning of these advanced 6G antennas, accurate performance evaluation is essential. Precise performance measurements can help identify and correct causes of malfunction in the prototype stage, improve quality, and shorten the time to mass production.

The research team from the KRISS Electromagnetic Wave Metrology Group has developed a 6G antenna measurement system based on a non-metallic sensor using an optical method.

To evaluate antenna performance, the sensor is placed at a certain distance to measure the electromagnetic waves generated by the antenna. Previously, metallic sensors were used. This caused coupling effects due to the electromagnetic wave reflection properties of metal, resulting in distorted measurements. This problem was easily resolved by replacing them with non-metallic sensors the size of a grain of rice.

KRISS successfully develops domestic 6G antenna measurement system
6G antenna performance measurement sensor developed by KRISS. Credit: Korea Research Institute of Standards and Science (KRISS)

The distance between the sensor and the antenna during measurements has decreased from several meters to a few millimeters, with measurement time reduced by more than one-tenth. Moreover, unlike previous measurements that required very large, fixed facilities such as anechoic chambers, the measurement equipment developed by KRISS is lightweight, similar in size and weight to a computer tower, making it portable and suitable for use in standard laboratories.

KRISS has transferred this technology to East Photonics Co., Ltd., a company specializing in fiber optic communication and repeaters, for a royalty of KRW 300 million, and a signing ceremony was held on April 8 at the KRISS administrative building.

KRISS successfully develops domestic 6G antenna measurement system
KRISS principal researchers Young-Pyo Hong (left) and Dong-Joon Lee (right) are testing the performance of a 6G antenna prototype using the new measurement system. Credit: Korea Research Institute of Standards and Science (KRISS)

Young-Pyo Hong, a principal researcher at KRISS, stated, “Currently, domestic research related to 6G is concentrated only in the materials and components fields, and studies have yet to be conducted on measurement equipment. Learning from the disappointing experiences with 28 GHz 5G communication, we plan to prioritize the establishment of 6G infrastructure, with the development of measurement equipment being a crucial part.”

Ho-Joon Seok, president and CEO of East Photonics Co., Ltd., said, “All smartphone and base station antenna measurement equipment is expensive and foreign-made, but commencing now we will take the lead in domesticating 6G antenna measurement equipment in close collaboration with KRISS. Unlike existing measurement equipment, our lightweight and mobile measurement equipment will be a strong point as we steadily plan for commercialization.”

More information:
Dong-Joon Lee et al, Integrated Electrooptic Sensor for Intense Electromagnetic Pulse Measurements, IEEE Transactions on Instrumentation and Measurement (2023). DOI: 10.1109/TIM.2023.3284921

Citation:
Researchers successfully develop domestic 6G antenna measurement system (2024, June 27)
retrieved 27 June 2024
from https://techxplore.com/news/2024-06-successfully-domestic-6g-antenna.html

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Is drone delivery a modern miracle or a band-aid fix for poor urban planning?

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Is drone delivery a modern miracle or a band-aid fix for poor urban planning?


Is drone delivery a modern miracle or a band-aid fix for poor urban planning?
Credit: Wing

The chief executive of drone delivery company Wing says 2024 is “the year of drone delivery.” The company first went public in 2014 as a Google “moonshot” project and now operates in several cities in Australia, the United States and Finland, with plans to expand further.

Wing promises fast, cheap delivery of food and groceries at the touch of a button, with critics voicing concerns about personal intrusions such as noise and privacy. But what are the real challenges of having delivery drones in your neighborhood?

To find out, I’ve been spending time in Australia’s “drone zones,” interviewing residents and local business operators in trial suburbs across Canberra and Logan in Queensland. It turns out noise and privacy aren’t their main problems.

Instead, people talked about larger, infrastructural issues—bad traffic, poor public transport, and other failures of urban planning—and how drone delivery is being proposed as a band-aid solution.

How does Wing work?

For customers, Wing works much like UberEats or Menulog: people place orders and pay via an app. On offer are lightweight, mundane items from various suppliers, such as takeaway coffees, sushi rolls and small supermarket goods.

What’s different is the delivery. A small autonomous drone with its own sensors and navigation system brings the package by air.

In community trials, delivery times have been incredibly fast. The average time is ten minutes, with the fastest-ever delivery—from order placement to arrival at the doorstep—taking 2 minutes and 47 seconds.

Wing conducted its first trials in the rural town of Royalla near the border of New South Wales and the Australian Capital Territory. Australia has been a test bed for its systems ever since.

In my research on drone delivery in Australia, I’ve been spending time in Canberra and Logan, observing the trials and interviewing locals about what life with drone delivery is actually like.

There were differing views on issues like noise and privacy. For instance, some people weren’t bothered by noise while others likened it to a “jumbo whipper snipper.” But of bigger concern was what Wing signaled for the future of urban planning and the viability of small business.

Sustainability that relies on cars and traffic

One of Wing’s strongest pitches to government and residents alike has been that its battery-powered drones offer a zero-emission, fast, sustainable solution to “last mile” delivery. In effect, Wing promises to take cars off the road by adding drones to the sky. However, its current business model relies on traffic congestion and poor urban planning.

The areas Wing has targeted have major infrastructural issues. While Wing may offer a quick fix for these problems in the short term, in the long term the company’s success relies on roads staying congested and neighborhoods being unwalkable. This is a major red flag for these communities who would rather see a better transport system on the ground than more drone traffic in the sky.

From Wing’s perspective, according to a spokesperson:

“Wing provides a useful service for people who live in areas that experience heavy traffic congestion […] We think drones are a better vehicle match for moving a small package when other efficient means aren’t available.”

In my interviews with residents in Browns Plains (in Logan, south of Brisbane) and Gungahlin (in Canberra), our conversations would quickly turn from drones to poor public transport and roads:

“Honestly, it’s terrible. We have buses that take an hour just to get to Woodridge. It’s literally a 13-minute drive down the road and it takes ages to get there. The traffic is always crap.”

Parking was also a major complaint in these areas:

“The planning of Gungahlin, it’s like things have just been added on. The huge growth in a lot of high-density buildings has made a huge difference to parking and things when people want to go shopping […] there’s not enough parking.”

Abandoning small business in favor of big partnerships

In 2019, when Wing first landed in the city of Logan in Queensland, it partnered exclusively with local businesses. In theory, Wing would help these businesses reach new customers and “take [them] to new heights.”

This strategy was incredibly successful. Local hardware stores, coffee shops and grocery stores provided stock for Wing’s warehouses. In 2021, Wing declared Logan “the drone delivery capital of the world.”

But in 2022 Wing began to pivot to a model that was easier to scale up. Instead of stocking and supplying its own warehouses, or managing its own delivery app, Wing struck deals with big retail players including Coles and DoorDash.

Both customers and local businesses feel left in the lurch. As one resident told me:

“The reason we started to go on there was, well, you can still support local. Get it delivered pretty cheap, and [there’s a] convenience factor. And then when they’ve taken everything off, like Boost [Juice] is probably the only one really that I use on there now, and that’s through DoorDash, not even through them direct.”

Another business owner said he felt “ditched”:

“They put an end date to it and said ‘We’re redoing the way we’re doing business.’ […] They decided to cut their costs even though they’re owned by Google, they got a lot of money. They’re going to use the rooftop space from the big shopping centers and launch the drones from there and use the stock from Coles or whoever they were dealing with at the time.”

Wing’s large partnerships also make it harder for small businesses to compete. A local neighborhood shop cannot meet the expectation of ten-minute delivery, and delivery platform commissions of up to 15%–20% will also cut into their margins.

A Wing spokesperson told The Conversation the company is offering delivery services to more small businesses than in the past, adding “68% of restaurants and merchants on the [Wing] marketplace are independent small businesses that aren’t affiliated with a national chain or brand.”

Long-term impacts

The picture emerging from my interviews shows drone delivery started out as a nice enough novelty, but potential long-term impacts on the livability of neighborhoods are becoming clear.

Wing’s innovations are not only technical—things like autonomous drones, physical infrastructure, and traffic management systems—but also social and regulatory. The partnerships with major retailers and property developers are no less significant, and the company is also involved in the development of new regulations and safety standards for drones. As a subsidiary of the multitrillion-dollar US tech conglomerate Alphabet (the parent company of Google), Wing has significant resources to throw at making sure its business succeeds.

Wing has said Australia represents the future for drone delivery. By listening to the stories of people who are already living with drone delivery, we can learn more about their risks and unexpected impacts.

Provided by
The Conversation


This article is republished from The Conversation under a Creative Commons license. Read the original article.The Conversation

Citation:
Is drone delivery a modern miracle or a band-aid fix for poor urban planning? (2024, June 27)
retrieved 27 June 2024
from https://techxplore.com/news/2024-06-drone-delivery-modern-miracle-band.html

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Lie-detection AI could provoke people into making careless accusations, researchers warn

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Lie-detection AI could provoke people into making careless accusations, researchers warn


lies
Credit: Unsplash/CC0 Public Domain

Although people lie a lot, they typically refrain from accusing others of lying because of social norms around making false accusations and being polite. But artificial intelligence (AI) could soon shake up the rules.

In a study published June 27 in the journal iScience, researchers demonstrate that people are much more likely to accuse others of lying when an AI makes an accusation. The finding provides insights into the social implications of using AI systems for lie detection, which could inform policymakers when implementing similar technologies.

“Our society has strong, well-established norms about accusations of lying,” says senior author Nils Köbis, a behavioral scientist at the University Duisburg-Essen in Germany.

“It would take a lot of courage and evidence for one to openly accuse others of lying. But our study shows that AI could become an excuse for people to conveniently hide behind, so that they can avoid being held responsible for the consequences of accusations.”

Human society has long operated based on the truth-default theory, which explains that people generally assume what they hear is true. Because of this tendency to trust others, humans are terrible at detecting lies. Previous research has shown that people perform no better than chance when trying to detect lies.

Köbis and his team wanted to know whether the presence of AI would change the established social norms and behaviors about making accusations.

To investigate, the team asked 986 people to write one true and one false description of what they plan to do next weekend. The team then trained an algorithm with the data to develop an AI model that was able to correctly identify true and false statements 66% of the time, an accuracy significantly higher than what an average person can achieve.

Next, the team recruited more than 2,000 people to be the judges who would read a statement and decide if it is true or false. The researchers divided the participants into four groups—”baseline,” “forced,” “blocked,” and “choice.”

In the baseline group, participants answered true or false without help from the AI. In the forced group, the participants always received an AI prediction before making their own judgment. In the blocked and choice groups, participants had the option of receiving an AI-generated prediction. People who requested the prediction from the blocked group would not receive it, while people in the choice group would.

The research team found participants in the baseline group had an accuracy of 46% when identifying the statements of being true or false. Only 19% of the people in the group accused the statements they read being false, even though they knew that 50% of the statements were false. This confirms that people tend to refrain from accusing others of lying.

In the forced group where participants were given an AI prediction regardless of whether they wanted it, over a third of participants accused the statements of being false. The rate is significantly higher than both the baseline and blocked groups that received no AI predictions.

When the AI predicted a statement was true, only 13% of participants said the statement was false. However, when the AI predicted a statement as false, more than 40% of participants accused the statement of being false.

Moreover, among the participants who requested and received an AI prediction, an overwhelming 84% of them adopted the prediction and made accusations when the AI said the statement was false.

“It shows that once people have such an algorithm on hand, they would rely on it and maybe change their behaviors. If the algorithm calls something a lie, people are willing to jump on that. This is quite alarming, and it shows we should be really careful with this technology,” Köbis says.

Interestingly, people seemed to be reluctant to use AI as a lie-detection tool. In the blocked and choice groups, only a third of participants requested the AI prediction.

The result was surprising to the team, because the researchers had told the participants in advance that the algorithm could detect lies better than humans. “It might be because of this very robust effect we’ve seen in various studies that people are overconfident in their lie detection abilities, even though humans are really bad at it,” Köbis says.

AI is known for making frequent mistakes and reinforcing biases. Given the findings, Köbis suggests that policymakers should reconsider using the technology on important and sensitive matters like granting asylum at the borders.

“There’s such a big hype around AI, and many people believe these algorithms are really, really potent and even objective. I’m really worried that this would make people over-rely on it, even when it doesn’t work that well,” Köbis says.

More information:
Lie Detection Algorithms Disrupt the Social Dynamics of Accusation Behavior, iScience (2024). DOI: 10.1016/j.isci.2024.110201. www.cell.com/iscience/fulltext … 2589-0042(24)01426-3

Citation:
Lie-detection AI could provoke people into making careless accusations, researchers warn (2024, June 27)
retrieved 27 June 2024
from https://phys.org/news/2024-06-ai-provoke-people-careless-accusations.html

This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no
part may be reproduced without the written permission. The content is provided for information purposes only.





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