Friday, January 31, 2025

 

Polar bear energetic model reveals drivers of polar bear population decline



Summary author: Walter Beckwith


American Association for the Advancement of Science (AAAS)

 




Polar bears in Western Hudson Bay have seen their population nearly halved over the last several decades, largely due to dwindling sea ice and limited hunting opportunities, according to the findings of a novel bioenergetic model using data spanning more than 40 years. The findings reveal the relationship between bears’ individual energy needs and environmental limitations in driving population trends, highlighting energy as the central limiting factor behind the decline of a key Arctic apex predator. The Arctic is warming faster than any other region on Earth, leading to significant sea ice loss, ecosystem transformations, and heightened threats to ice-dependent species like polar bears (Ursus maritimus). These animals rely on sea ice to hunt seals, their primary food source, but as ice melts during warmer months, they are forced onto land or into less productive waters, relying on stored energy reserves due to the lack of adequate food sources. Food deprivation caused by changes in seasonal sea ice has been linked to declines in polar bear populations. However, conservation efforts are limited by a lack of data for most polar bear subpopulations and a framework to understand how sea ice loss affects the animals throughout their lives. To investigate the relationship between declining sea ice and polar bear populations, Louise Archer and colleagues compiled population monitoring and capture data collected from polar bears in Western Hudson Bay, Canada, over the last 42 years and developed an individual-based bioenergetic model. The model, grounded in physiological principles, integrates energy acquisition and expenditure – such as feeding, body maintenance, movement, growth, and reproduction – into a unified energy budget spanning an individual bear’s life cycle. The findings show that sea ice loss and resultant feeding limitations were the primary drivers of a ~50% population decline since the mid-1990s, demonstrating how individual energetic constraints shape population-level outcomes. What’s more, Archer et al. note that this framework, although developed for polar bears, is adaptable to other species facing constraints on foraging or energy use due to environmental or human-driven changes, offering broad utility in addressing global change impacts and informing conservation and policy decisions.

Polar bear population decline the direct result of extended ‘energy deficit’ due to lack of food



Study finds polar bears are struggling to get enough to eat in face of dwindling sea ice due to climate change



University of Toronto

Researcher Louise Archer 

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Researcher Louise Archer.

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Credit: Handcraft Creative




U of T Scarborough researchers have directly linked population decline in polar bears living in Western Hudson Bay to shrinking sea ice caused by climate change.

The researchers developed a model that finds population decline is the result of the bears not getting enough energy, and that’s due to a lack of food caused by shorter hunting seasons on dwindling sea ice.

“A loss of sea ice means bears spend less time hunting seals and more time fasting on land,” says Louise Archer, a U of T Scarborough postdoc and lead author of the study.

“This negatively affects the bears’ energy balance, leading to reduced reproduction, cub survival and, ultimately, population decline.”

The “bio-energetic” model developed by the researchers tracks the amount of energy the bears are currently getting from hunting seals and the amount of energy they need in order to grow and reproduce. What’s unique about the model is that it follows the full lifecycle of individual polar bears — from cub to adulthood — and compares it to four decades of monitoring data from the Western Hudson Bay polar bear population between 1979 and 2021.

During this period, the polar bear population in this region has declined by nearly 50 per cent. The monitoring data shows the average size of polar bears is also in decline. The body mass of adult females has dropped by 39kg (86lbs) and one-year-old cubs by 26kg (47lbs) over a 37-year period.

The researchers’ model provides a close match to the monitoring data, meaning it provides an accurate assessment of what is happening and will continue to happen to the polar bear population if it keeps experiencing sea ice loss and a greater amount of time in energy deficit.

“Our model goes one step further than saying there’s a correlation between declining sea ice and population decline,” says Péter Molnár, an associate professor in the Department of Biological Sciences at U of T Scarborough and co-author of the study.

“It provides a mechanism that shows what happens when there is less ice, less feeding time and less energy overall. When we run the numbers, we get a near one-to-one match to what we’re seeing in real life.”

Polar bear mom and cubs particularly vulnerable

The researchers, which include co-authors from Environment and Climate Change Canada, noted that cubs face the brunt of these climate-induced challenges.

Archer says that shorter hunting periods result in mothers producing less milk, which jeopardizes cub survival. The cubs face reduced survival rates during their first fasting period if they fail to gain enough weight.

Mothers are also having fewer cubs. Monitoring data shows cub litter sizes have dropped 11 per cent compared to almost 40 years ago, and mothers are keeping their cubs longer because they aren’t strong enough to live on their own.

“It’s pretty simple — the survival of cubs directly impacts the survival of the population,” says Archer, whose research is funded through a Mitacs Elevate postdoctoral fellowship and the non-profit organization Polar Bears International.

Broader applications for the model

Western Hudson Bay has long been considered a bellwether for polar bear populations globally, and as the Arctic warms at a rate four times faster than the global average, the researchers warn of similar declines in other polar bear populations.

“This is one of the southernmost populations of polar bears, and it’s been monitored for a long time, so we have very good data to work with,” says Molnár, who is an expert on how global warming impacts large mammals.

“There’s every reason to believe what is happening to polar bears in this region will also happen to polar bears in other regions, based on projected sea ice loss trajectories. This model basically describes their future.”

The study, which is published in the journal Science, received funding from the Natural Sciences and Engineering Research Council of Canada and the Canada Foundation for Innovation.







 DOLLY & 23ANDME.COM

Ancient DNA analyses bring to life the 11,000-year intertwined genomic history of sheep and humans




Trinity College Dublin
Vessel supported by two rams 

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Vessel supported by two rams, 2600 to 2500 BCE, object number 1989.281.3, Gift of Norbert Shcimmel Trust, 1989, open access Met Museum.

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Credit: Gift of Norbert Shcimmel Trust, 1989, open access Met Museum.




Sheep have been intertwined with human livelihoods for over 11,000 years. As well as meat, their domestication led to humans being nourished by their protein-rich milk and clothed by warm, water-resistant fabrics made from their wool. 

Now, an international and interdisciplinary team of researchers led by geneticists from Trinity College Dublin and zooarchaeologists from LMU Munich and the Bavarian State Collections of Natural History (SNSB) has deciphered the prehistoric cultural trajectory of this species by analysing 118 genomes recovered from archaeological bones dating across 12 millennia and stretching from Mongolia to Ireland. 

The earliest sheep-herding village in the sample, Aşıklı Höyük in central Türkiye, has genomes that seem ancestral to later populations in the wider region, confirming an origin in captures of wild mouflon over 11,000 years ago in the western part of the northern Fertile Crescent.

By 8,000 years ago, in the earliest European sheep populations, the team found evidence that farmers were deliberately selecting their flocks – in particular for the genes coding for coat colour.  Along with a similar signal in goats, this is the earliest evidence for human moulding of another animal’s biology and shows that early herders, like today’s farmers, were interested in the beautiful and unusual in their animals.

Specifically, the main gene the team found evidence of selection near was one known as “KIT”, which is associated with white coat colour in a range of livestock.

Also by that time, the earliest domestic sheep genomes from Europe and further east in Iran and Central Asia had diverged from each other. However, this separation did not last as people translocated sheep from eastern populations to the west.  

First, in parallel with human cultural influences spreading out from the early cities of Mesopotamia we see sheep genomes moving west within the Fertile Crescent around 7,000 years ago.

Second, the rise of pastoralist peoples in the Eurasian steppes and their westward spread some 5,000 years ago profoundly transformed ancestral European human populations and their culture. This process changed the makeup of human populations, for example, altering the ancestry of British peoples by around 90%, and introduced the Indo-European language ancestor of the tongues spoken across the continent today.

From the dataset used in this study it now seems that this massive migration was fuelled by sheep herding and exploitation of lifetime products, including milk and probably cheese, as it is around the same time that sheep ancestries are also changed. Consequently, by the Bronze Age, herds had about half their ancestry from a source in the Eurasian steppe.

Dr Kevin Daly, Ad Astra Assistant Professor at UCD School of Agriculture and Food Science and an Adjunct Assistant Professor in Trinity’s School of Genetics and Microbiology, is the first author on the research article that has just been published in leading international journal Science. He said: “One of our most striking discoveries was a major prehistoric sheep migration from the Eurasian steppes into Europe during the Bronze Age. This parallels what we know about human migrations during the same period, suggesting that when people moved, they brought their flocks with them.”

Dan Bradley, leader of the research and Professor of Population Genetics in Trinity’s School of Genetics and Microbiology, said: “This research demonstrates how the relationship between humans and sheep has evolved over millennia. From the early days of domestication through to the development of wool as a crucial textile resource, sheep have played a vital role in human cultural and economic development.”

Joris Peters, co-corresponding author, Professor of Paleoanatomy, Domestication Research and the History of Veterinary Medicine at LMU Munich and Director of the State Collection for Paleoanatomy Munich (SNSB-SPM), said: “Our study, while convincingly reconciling morphological and genomic evidence of the geographic origin of domestic sheep, clearly illustrates that further transdisciplinary research is needed to clarify the patterns of dispersal and selection of the many landraces occurring today in Eurasia and Africa.”

Drivers, causes and impacts of the 2023 Sikkim flood in India



Summary author: Walter Beckwith


American Association for the Advancement of Science (AAAS)


Concrete dam of the Teesta III hydropower plant completely destroyed by the flood disaster

In a comprehensive analysis, researchers present the divers, causes, and impacts of the catastrophic 2023 Sikkim glacial lake outburst flood (GLOF). The findings stress the urgent need to enhance GLOF hazard assessments and improve prediction and early warning systems as melting glaciers steadily raise the risk of GLOFs in the Himalayan region. South Lhonak Lake – perched at 5200 meters above sea level in the Upper Teesta basin of Sikkim, India – is among the region's largest and most rapidly expanding glacial lakes, posing severe hazards due to its potential for GLOFs. These hazards were realized on October 3, 2023, when the glacial lake experienced a catastrophic outburst, unleashing a flood cascade that claimed 55 lives, left 74 missing, and caused widespread downstream devastation, including the destruction of the Teesta-III hydropower dam. Combining high-resolution satellite imagery, seismic and meteorological data, field observations, and numerical modeling, Ashim Sattar and colleagues present a comprehensive and multidisciplinary analysis of the event. According to the findings, the outburst was triggered when a landslide containing 14.7 million cubic meters (m3) of frozen sediment collapsed into the lake, generating a ~20-meter tsunami-like wave that breached and eroded the frontal moraine containing the waterbody, releasing roughly half of the lake’s volume (~50 million mof water) and ~270 million m3 of sediment into the Teesta River valley. Moreover, Sikkim et al. show that climate warming intensified the event, as heavy rainfall primed the landscape for landslides that compounded sediment transport and downstream destruction in the Teesta Valley, which impacted Sikkim, West Bengal, and Bangladesh and damaged infrastructure as far as 385 kilometers away from the flood’s origin. According to the authors, the findings underscore the inadequacy of current GLOF models, which often fail to account for erosion, sediment transport, and cascading processes, and highlight the need for enhanced early warning systems, policy reforms, and adaptive risk management strategies, particularly in remote, high-altitude, vulnerable glacial regions like the Himalayas.


Earth scientists study Sikkim flood in India to help others prepare for similar disasters



UCalgary scientist says it’s important to determine what happened and what can be learned




University of Calgary

University of Calgary scientist Dan Shugar 

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Dan Shugar, an associate professor with the Department of Earth, Energy and Environment in the Faculty of Science at the University of Calgary, says it’s important to analyse what happened in the Sikkim flood and what can be learned from it as rapid climate warning affects mountain regions around the world.

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Credit: Courtesy: Dan Shugar/University of Calgary




Experts from the global Earth science community – including a scientist from the University of Calgary – have pieced together what happened during the massive Sikkim flood to try to help others prepare for similar disasters.

On Oct. 3, 2023, a multi-hazard cascade in the Sikkim Himalaya, India, was triggered by a permanently frozen (permafrost) lateral moraine – debris from erosion along a glacier – collapsing into South Lhonak Lake.

“A landslide went into a lake and that triggered a wave that eroded a dam at the end of the lake, which resulted in a slurry-like flood for hundreds of kilometres,” explains Dr. Dan Shugar, PhD, an associate professor with the Department of Earth, Energy and Environment in the Faculty of Science.

Known as a glacial lake outburst flood, it killed at least 55 people, left dozens more missing, damaged agricultural land and destroyed a hydropower dam.

The Sikkim flood was declared one of the worst climate-related disasters to have occurred on the continent that year by the World Meteorological Organization’s State of the Climate in Asia 2023 report.

new paper in the prestigious journal, Science, presents a collaborative effort by scientists, academics, government departments, non-governmental organizations and others to investigate the event.

Shugar, a geomorphologist who’s a co-author on the paper, says it’s important to forensically analyse what happened and what can be learned from it as rapid climate warning affects mountain regions around the world.

The paper looks at the drivers and causes and assesses the downstream impacts of the hazard cascade using high-resolution satellite imagery, seismic data, meteorological data and field observations. It also explores the triggers of the flood and reconstructs its hydraulic dynamics, evaluates downstream implications and considers the long-term impacts of the event.

“The assessment indicates that the high hazard level arises not only from the flood itself but also from the subsequent processes it triggers,” says the paper.

Dr. Ashim Sattar, PhD, the study’s lead author who’s an assistant professor in the School of Earth, Ocean and Climate sciences at the Indian Institute of Technology, adds that the Sikkim flood had devastating effects for downstream regions.

“This is high time to be building resilience in downstream regions that are exposed to such potentially catastrophic events in the Himalaya,” he says in a statement.

“The threat of these catastrophic events is growing, urging us to act with urgency in protecting both our environment and communities in the Himalaya and similar regions around the world.”

Sattar says glacial lakes are growing in number and size, so they need to be critically and urgently evaluated for downstream hazards and damage potential.

“Climate change is leading to changes in permafrost temperatures, increasing the risk of slope failures that can lead to avalanches or trigger glacial lake outburst floods in the high mountains.”

In Canada, for example, a glacial lake outburst flood in British Columbia’s southern Coast Mountains destroyed forest and salmon spawning habitat in November 2020.

Shugar, who has studied both events, says they can have serious implications for people and infrastructure.

“This study (on the Sikkim flood) is a good example of a mountain disaster galvanizing the global Earth science research community to work together on a common goal,” he says.

“Advances in Earth observation technologies over the last decade have dramatically improved our ability to understand these sorts of events, and ultimately, leading to disaster risk reduction.”