Monday, March 24, 2025

 

New research helps reconstruct sudden, dramatic sea level rise after last ice age



Brown University





PROVIDENCE, R.I. [Brown University] — Around 14,500 years ago, toward the end of the last ice age, melting continental ice sheets drove a sudden and cataclysmic sea level rise of up to 65 feet in just 500 years or less. Despite the scale of the event, known as Meltwater Pulse 1a, scientists still aren’t sure which ice sheets were responsible for shedding all that water.

Now, researchers from Brown University have used an updated physical model of sea-level dynamics to reconstruct Meltwater Pulse 1a. Their work, which was supported by a federal grant from the National Science Foundation, was published in Nature Geoscience.

The research team found that an initially modest melting of ice over North America set off a global cascade of ice loss extending to Europe, Asia and Antarctica. The results reveal surprising linkages between ice sheets around the world and could help scientists make better predictions of future sea level rise, according to the researchers.

“We see a distinct interhemispheric pattern of melting associated with this catastrophic sea level rise in the past,” said Allie Coonin, a Ph.D. candidate in Brown’s Department of Earth, Environmental and Planetary Sciences, who led the research. “That tells us that there’s some sort of mechanism that is responsible for linking these ice sheets across hemispheres, and that’s important for how we understand the stability of the Greenland and West Antarctic ice sheets today.”

Reconstructing sea level change

To reconstruct events like Meltwater Pulse 1a, scientists start with sea level records preserved in ancient shorelines and ocean sediments. The sediments contain fossil coral and other biological indicators that help establish the timing and magnitude of past sea level fluctuations.

Once they have a sense of how much sea levels changed and where, scientists use a technique called sea level fingerprinting to figure out which ice sheets contributed the meltwater. When massive ice sheets melt, the resulting increase in sea level is not evenly distributed around the globe. Waters rise in some places more than others — and may even fall in some places — depending upon the location of the meltwater source. The pattern of sea level rise and fall at different places around the globe can be used to trace where the meltwater originated.

Sea level fingerprinting requires properly accounting for the physics of a melting ice sheet. Gravity, for example, plays in important role. Ice sheets are so massive that they exert significant gravitational pull, drawing surrounding ocean water toward them. As an ice sheet melts and loses mass, its gravitational pull weakens, allowing water to move away. This means that sea level near the ice sheet may actually decrease in response to melting, while waters rise elsewhere.

Another important factor is how the solid Earth reacts to melting events. Heavy ice sheets press down on the Earth’s crust. When an ice sheet’s mass decreases due to melting, the crust beneath rebounds. This crustal rebound can also push water away from the meltwater source, redistributing sea level change across the globe.

In this new study, the researchers used a more complete model of these crustal deformation processes. Previous research had only modeled elastic deformation — the rapid, trampoline-like response to changes in surface mass. However, Coonin and her colleagues also considered a second response known as viscous deformation, in which the mantle, the layer of material beneath Earth’s crust, “flows” a bit like honey across a tilted plate. It had long been assumed that viscous responses occurred over thousands of years and weren’t important for short-duration events like Meltwater Pulse 1a. But results from recent rock deformation experiments at Brown University and elsewhere are changing that view.

“People have shown that this viscous deformation can be important on timescales of decades or centuries,” said Harriet Lau, an assistant professor in Brown’s Department of Earth, Environmental and Planetary Sciences and study co-author. “Allie was able to incorporate that into her modeling of solid Earth deformation in the context of sea level physics.”

A new scenario

The result is a scenario for Meltwater Pulse 1a that differs substantially from previous reconstructions and aligns more closely with available paleo sea level data. The new scenario suggests that the event began with modest melting of the Laurentide ice sheet over North America, which contributed about 10 feet of sea level rise. That was followed by more dramatic melting of ice sheets over Eurasia and West Antarctica, which contributed around 23 and 15 feet respectively. Previous research findings had attributed Meltwater Pulse 1a mostly to a single source — though they didn’t always agree on which one. Some scientists attributed it mostly to North America, while others pointed toward Antarctica. None, however, had detected the potential of a causal link across hemispheres.

“We show that using the appropriate physics makes a big difference in sea level predictions,” Coonin said.

More research is needed to fully understand how disparate ice sheets are linked, according to the researchers, but the new findings suggest that today’s rapid melting of the Greenland Ice Sheet could influence the dynamics of the much larger Antarctic Ice Sheet — even though the two are half a world apart.

The study was co-authored by Sophie Coulson of the University of New Hampshire and supported by the National Science Foundation (NSF-EAR 2311897).

 

Embrace change with dynamic conservation models



New study published in BioScience challenges traditional protected area approach



American Institute of Biological Sciences





A recent article in BioScience, the journal of the American Institute of Biological Sciences, challenges conventional conservation wisdom, suggesting that protected areas such national parks and designated wilderness areas must embrace natural landscape dynamics rather than trying to preserve static conditions and landscape features.

Dr. Gavin M. Jones (USDA Forest Service) and colleagues contend that current conservation models often resist natural ecosystem processes such as wildfire, leading to a "backfire effect" that makes ecosystems more vulnerable to climate change and other perturbations. "Under climatic change, resisting natural landscape dynamics will backfire and heighten vulnerability to ecosystem transformation through large-scale disturbance," say the authors.

Jones and colleagues point out that in many western US forests, measures to protect mature and old-growth trees by suppressing natural disturbances have paradoxically resulted in more severe habitat loss: "In California, in the United States, mature forest habitat losses to drought and wildfires from 2011 to 2020 were greater inside than outside of spotted owl protected activity centers"—a result of the degradation of drought- and fire-resilient forest conditions.

The proposed shift to protecting landscape dynamics will involve greater intentional human action and may, in the short term, generate conditions unseen in recent times, such as lower tree stand densities. To help guide the process, Jones and colleagues argue for the inclusion of Indigenous knowledge and practices, such as cultural burning, which were typically suppressed within traditional "fortress conservation" models. The authors highlight that, in many areas, Indigenous approaches have millennia-long track records of successfully maintaining ecosystem dynamics.

The authors conclude by noting that, despite the need for a significant paradigm shift, "protecting a place and embracing change are not mutually exclusive. We must consider reducing our focus on conserving landscapes, and move toward the conservation of landscape dynamics."

 

 

Disclaimer: AAAS and 

DEI

Some depression prevention programs may not help Black youth


More race-conscious therapeutic options needed, study finds



American Psychological Association





WASHINGTON – A depression prevention program that has helped white youth wasn’t effective for Black youth, raising concerns about the need for more research to help racially diverse groups, according to new research published by the American Psychological Association. 

“I was very surprised that we couldn’t help Black youth as much as white youth, and we don’t know why there was such a profound difference in the outcomes.” said lead researcher Patrick Pössel, Dr. rer. soc., a professor of counseling psychology at the University of Louisville.

Pössel and some colleagues in Germany developed the LARS&LISA depression prevention program about 25 years ago, which was implemented successfully in schools in Germany and later in Tennessee.

The current study, published online in the Journal of Consulting and Clinical Psychology, included 425 freshman students (57% Black, 43% white) in a Louisville, Kentucky, high school serving primarily low-income students. Half of the students were in a control group while the other half participated in the 10-week LARS&LISA program.

The LARS&LISA program, which includes vignettes with two characters named Lars and Lisa, uses group sessions designed to build motivation through personal goal setting followed by aspects of cognitive behavioral therapy. Students are encouraged to recognize unhelpful thoughts and replace them with more helpful thoughts. In addition, they learn about the pros and cons of assertive, aggressive, passive-aggressive and withdrawing behaviors. They also practice the skills needed to form new social networks.

The students completed questionnaires about depressive symptoms before and after the LARS&LISA program and in a follow-up survey four months later. White youth who participated in the program reported significantly fewer depressive symptoms after completing the program and at the follow-up period. However, Black youth in the program didn’t differ from the control group, with no significant benefits found after completing the program or at the follow-up period.

The study couldn’t determine why the program was unsuccessful for Black youth so more research is needed, not only on that issue but to identify whether other depression treatment programs or models may experience the same shortcomings, Pössel said.

“Psychological theories and treatment programs are largely developed based on white, middle-class, female American clients or college students in psychology courses,” Pössel said. “We need to take a step back and examine the consequences of these limitations. It’s essential to be attentive to cultural and racial differences and not assume there’s a one-size-fits-all approach.”

Other researchers found similar concerns with another youth depression prevention program that is based on cognitive behavioral therapy techniques. That study found the Penn Resiliency Program helped white and Latino youth but showed no significant effects on the depressive symptoms for Black youth.  Other studies have found that Black youth’s experiences with racism may put them at higher risk of depression, anxiety and suicide. 

In the current study, the participants were from one high school in Louisville, Kentucky, who participated in the LARS&LISA program so the findings may not be generalizable across the United States or to other youth depression prevention programs. Only students who identified as white or Black were included in the analysis so there were no findings for other racial groups. 

Article: “Equity and Inclusion in Prevention: Depression Prevention in Black and White American Youth,” Patrick Pössel, Dr. rer. soc., and Hayley D. Seely, PhD, University of Louisville, Journal of Consulting and Clinical Psychology, published online March 24, 2025.

Contact: Patrick Pössel, Dr. rer. soc., may be contacted at patrick.possel@louisville.edu.

 

 

White-collar crimes: ‘Fall from grace’ and the stigma of reentry into society


Study investigates how social class affects reintegration for ‘middle-class’ white-collar offenders


Florida Atlantic University

Fall from Grace - White Collar Crime 

image: 

The study focused on how stigma, social background and emotional factors impact white-collar offenders as they transition into society after prison. The study also examines how modern technology, including social media, intensifies the stigma of imprisonment.

view more 

Credit: Alex Dolce, Florida Atlantic University




People convicted of federal white-collar crimes come from different social and demographic backgrounds compared to those convicted of other offenses. Typically older and from the middle class, white-collar offenders face unique challenges during reentry into society. Yet, research on how social class influences their reintegration remains scarce.

A study by Florida Atlantic University, in collaboration with the University of Cincinnati, explores these challenges, focusing on how stigma, social background and emotional factors impact white-collar offenders as they transition into society after prison. The study also examines how modern technology, including social media, intensifies the stigma of imprisonment.

Using qualitative data from formerly incarcerated individuals, including both white-collar and non-white-collar offenders, researchers examined if white-collar offenders experience reentry differently, displaying either resilience or sensitivity. The resiliency hypothesis suggests they reintegrate easily due to their social status and skills, while the sensitivity hypothesis suggests they are more vulnerable to emotional distress and stigma from public shaming.

Results of the study, published in the journal Justice Quarterly, show that white-collar offenders typically had an easier time securing employment and stable housing compared to their non-white-collar counterparts, due to stronger social support networks and personal resources. However, they faced significant anxiety and fear about social stigma, particularly the fear of being publicly exposed or “Googled,” and sought mental health support to cope with these challenges. Middle-class status appears to make these individuals more vulnerable to public shaming.

In contrast, non-white-collar offenders struggled more with basic needs like employment and housing and did not express concerns about social stigma to the same degree. Findings suggest that the reentry challenges white-collar offenders face are shaped by both their social class and societal reactions, extending the differences between white-collar and non-white-collar offenders beyond incarceration and into their post-release lives.

“White-collar incarceration rates have changed dramatically since the passage of the United States Sentencing Guidelines in 1984. More white-collar offenders are serving prison sentences and returning to a society vastly different from the 1980s,” said Diana Sun, Ph.D., senior author and an assistant professor in the School of Criminology and Criminal Justice within the FAU College of Social Work and Criminal Justice. “The rise of Google and social media has fundamentally changed how reputations are formed and destroyed, impacting the experiences of white-collar offenders in ways that the special sensitivity and resiliency hypotheses don’t fully capture.” 

While most white-collar offenders reported positive relationships post-release, some did experience strained family dynamics or the loss of social connections after their release. Despite their successes, white-collar offenders often struggled with intense stigma, leading to anxiety and fear, particularly in new social situations such as job searches and dating. This sensitivity was especially pronounced among male African American white-collar offenders, who felt unfairly judged because of their “Black man in prison” status.

The white-collar participants were highly aware of their “ex-con” status and concerned about other people’s perceptions. The non-white-collar sample were not as concerned. Instead, they had different priorities that focused on staying away from “bad habits,” finding employment and avoiding detrimental relationships, with less concern about social stigma or online scrutiny.

Upon release, white-collar participants often used personal resources like family, friends and community connections to help with their reintegration. The types of jobs they were able to get after incarceration remained in the middle-class. By comparison, the non-white-collar sample tended to have some difficulty in the job market and worked in “lower status” jobs. Some of them relied more heavily on the halfway house to help with employment unlike the white-collar sample.

“Our study questions the clear divide between ‘special sensitivity’ and ‘special resiliency’ in reentry, showing that white-collar offenders experience both, depending on where they are in the process,” said Sun. “Middle-class offenders face distinct challenges, particularly the loss of professional status and self-esteem. Our findings deepen the understanding of how social class influences reentry, especially as more middle-class individuals are incarcerated for crimes like fraud and deception, which mirror everyday behaviors.”

Study participants, which included women, were selected from a Midwest metropolitan area. White-collar crimes included fraud, embezzlement, tax fraud and credit fraud, and non-white-collar crimes included drug possession or robbery.

Study co-author is Michael L. Benson, Ph.D., professor emeritus and senior research associate, University of Cincinnati.

- FAU -

About Florida Atlantic University:
Florida Atlantic University, established in 1961, officially opened its doors in 1964 as the fifth public university in Florida. Today, Florida Atlantic serves more than 30,000 undergraduate and graduate students across six campuses located along the Southeast Florida coast. In recent years, the University has doubled its research expenditures and outpaced its peers in student achievement rates. Through the coexistence of access and excellence, Florida Atlantic embodies an innovative model where traditional achievement gaps vanish. Florida Atlantic is designated as a Hispanic-serving institution, ranked as a top public university by U.S. News & World Report, and holds the designation of “R1: Very High Research Spending and Doctorate Production” by the Carnegie Classification of Institutions of Higher Education. Florida Atlantic shares this status with less than 5% of the nearly 4,000 universities in the United States. For more information, visit www.fau.edu.

 

Researchers using lidar and AI to advance transportation engineering and safety


University of Missouri engineering researchers are using advanced technology to help make our roads safer by better understanding how pedestrians, cyclists and vehicles interact


University of Missouri-Columbia




University of Missouri researchers are using advanced technology to enhance the safety of the nation’s roads. This approach, focused on the most vulnerable road users — pedestrians and cyclists — could be used to help improve driver awareness, reduce accidents and better understand behavior in work zones.

In a recent study, a team led by Associate Professor Yaw Adu-Gyamfi and graduate student Linlin Zhang at Mizzou’s College of Engineering created a new method to understand how pedestrians, cyclists and vehicles interact, especially at traffic signals. This innovative approach, using a combination of light detection and ranging (lidar) and artificial intelligence (AI), aims to addresses key issues in transportation safety and mobility.

Lidar uses a camera and a system of lasers to create a 3D view of objects, enabling experts to measure the distances and speeds of different objects, such as bicycles, cars and people.

“By having a better understanding of how pedestrians and cyclists interact with each other on the roads, this study will help us design advanced systems that will allow vehicles to better understand and avoid other road users. This is important especially as autonomous vehicles become more common,” Adu-Gyamfi said.

The information provided helps address a lack of available industry data on the interactions between cyclists, pedestrians and vehicles at traffic signals.

Real-world uses

This technology can help spot close calls between cars and pedestrians, allowing experts to better understand how to prevent accidents. As it becomes more widely available, it could track how people and cars approach intersections and share that data with vehicles to improve safety.

“This approach would require working with car manufacturers to build the technology into vehicles,” Adu-Gyamfi said. “In fact, some cars already connect with traffic systems using networks like cellular vehicle-to-everything (C-V2X).”

The data collected by this system could be used in other ways to improve transportation such as helping experts decide how long pedestrians need a green light to cross safely. It could also track cars entering work zones, catching speeding or distracted drivers. Plus, it can spot pavement problems, such as the depth of potholes.

How it works

For this project, researchers set up a joint camera and lidar system at an intersection to monitor traffic flow. Instead of the traditional approach that requires using two lidar units, they successfully optimized the technology to work with just one unit. Also, by applying a method called point cloud completion, they were able to improve the visibility of pedestrians and other objects over existing methods.

“Instead of retraining a machine learning model to detect objects, we used a pre-trained one and created a new algorithm to estimate an object's height and width,” Adu-Gyamfi said. “This helped us classify objects, such as buses, pedestrians and cyclists, more accurately than other AI models designed for the same task.”

Before this technology can be widely used on roads and highways, researchers will need to address challenges with data processing, power supply stability and weather conditions.

The study, “Three-Dimensional Object Detection and High-Resolution Traffic Parameter Extraction Using Low-Resolution LiDAR Data,” was published in the Journal of Transportation Engineering. Co-authors are Xiang Yu at Mizzou and Armstrong Aboah at North Dakota State University.

 

New research reveals secrets about locust swarm movement


Study introduces a new theory that could improve locust control strategies



Texas A&M AgriLife Communications

 

 


- by Adam Russell

New research published in Science is reshaping our understanding of one of nature’s most stunning yet destructive phenomena —  massive locust swarms moving together. 

A team of researchers, including Greg Sword, Ph.D., Regents Professor and Charles R. Parencia Chair in Cotton Entomology in the Texas A&M College of Agriculture and Life Sciences Department of Entomology, is challenging the long-standing theories about how order emerges from disorder in animal collectives.

Sword, along with a team of researchers from the Max Planck Institute of Animal Behavior and Centre for the Advanced Study of Collective Behavior at the University of Konstanz, Germany, recently published “The behavioral mechanisms governing collective motion in swarming locusts.” This study proposes that locusts move in an uncoordinated version of follow-the-leader behavior rather than a synchronized collective motion, as previously believed.

Greg Sword, Ph.D., studies desert locusts and other swarming insects like crickets and is a researcher in the Behavioral Plasticity Research Institute at Texas A&M University. New research provides a new, science-based theory about how these pests move as a collective. (Sam Craft/Texas A&M AgriLife)

Finding patterns in locust swarm behavior

Environmental factors like topography or food availability may influence the direction of travel for locusts at the head of the swarm, Sword said. But the swarm movement is ultimately dictated by individual locusts reacting to their nearest neighbors.

Desert locusts, one of 20 locust species, undergo a dramatic transformation called locust phase polyphenism — a density dependent shift that alters their biology, morphology, color and behavior.

When populations are low, they remain solitary and avoid each other. But when densities increase, they become highly social, forming massive swarms that migrate. These swarms can cause billions of dollars in agricultural damage and lead to food insecurity that spans multiple continents.

“Patterns emerge at the group level as they interact with their neighbors,” Sword said. “They’re all acting in their own interest but are all following the same rules that create the pattern of movement. Knowing how these swarms move can help us predict where they are going, which could revolutionize the way we try to stop their devastating march.”

New theory could help mitigate locust damage

This study’s insights could improve locust monitoring and intervention strategies, helping minimize their agricultural production and habitat.

Sword, who is also a member of the Behavioral Plasticity Research Institute at Texas A&M, said the findings could help researchers in North America better understand Central American and South American locust species and other swarming insects like Mormon crickets.

“Do those species have the same behavioral mechanism?” he asked. “We’re uniquely positioned here at Texas A&M to start asking those questions. It’s crucial to find answers because, while the U.S. doesn’t currently face locust swarms, the Central American locust has swarmed within 150 miles of the Texas-Mexico border.”

-30-

 

Would you like more information from Texas A&M AgriLife?

Visit AgriLife Today, the news hub for Texas A&M AgriLife, which brings together a college and four state agencies focused on agriculture and life sciences within The Texas A&M University System, or sign up for our Texas A&M AgriLife E-Newsletter.

For more resources including photo repository, logo downloads and style guidelines, please visit the Resources for Press and Media.