Search

In Conservation Success Story, Massachusetts Piping Plovers Have Their Second Record Nesting Year in a Row

We are an online community created around a smart and easy to access information hub which is focused on providing proven global and local insights about sustainability

09 Jan, 2025

This post was originally published on Eco Watch

For the second year in a row, Massachusetts beaches have recorded more nesting Piping Plovers than anytime in the last four decades — 1,196 nesting pairs, a 1.5 percent increase over 2023 and a 500 percent jump since the program began, according to preliminary data gathered by MassWildlife’s Natural Heritage & Endangered Species Program and Mass Audubon.

Mass Audubon has been leading the Coastal Waterbird Program (CWP) since 1986. The program is a collaboration between state, federal and local agencies. It engages in conservation research while monitoring and protecting vulnerable beach-nesting birds. In the mid-1980s, fewer than 200 pairs of breeding Piping Plovers existed in the state.

“Piping Plovers were on the brink of extinction in Massachusetts and now, through collaborative partnerships and strategic conservation strategies, this is a species recovering at an encouraging rate,” said Lyra Brennan, Mass Audubon’s Coastal Waterbird Program director, in a press release from Mass Audubon.

Piping Plovers on a Massachusetts beach. Pat Ulrich / Mass Audubon

The sand-colored shorebird is about the size of a sparrow and feeds along sand and gravel beaches on the North American coast.

While Piping Plovers are still listed as threatened on the state and federal endangered species lists, the last several years of data show that the elegant shorebirds are making a comeback in Massachusetts.

CWP protected 379 pairs of Piping Plovers in 2024, representing 17 percent of the Atlantic Coast population and almost a third of the state population.

In 2024, pairs of Plovers nesting at sites protected by CWP produced 1.24 fledglings per pair — nearly the same as the 1.25 chicks in 2023 — which is considered to be a sustainable reproductive rate.

“Long-term investments in coastal communities and implementing a combination of wildlife management, science-based conservation, policy development, and education is paying off,” Brennan said in the press release.

In a first, Plovers also successfully fledged chicks at Eastham’s Dyer Prince Beach, while Sagamore’s Scusset Beach saw its first Plover pairing in over a decade. Additional hotspots included an 83 percent leap in productivity in fledged chicks on Lobsterville Beach in Aquinnah, a 56 percent jump in Plover pairs at Barnstable’s Long Beach and twice as many pairs on Chatham’s Tern Island.

Other vulnerable seabirds have also had success, including Least Terns, who experienced a 37 percent population increase in 2024 to 4,901 pairs, following a drop in numbers the previous year. Mass Audubon’s 42 protected nesting sites for the birds maintained steady reproductive success with rates ranging from zero to 1.35 fledglings per pair, making them the most successful sites for Least Terns in Massachusetts.

As was true a year earlier, predators were the most significant factor determining nesting success for terns in 2024. Major overwash and predation events impacted several of the main sites, including South Beach, which saw no Least Tern fledges last year, despite having a colony of more than 100 pairs.

American Oystercatchers also experienced their second record year in a row with 250 nesting pairs detected — a year-over-year increase of five percent.

Brennan said Oystercatchers in Massachusetts were the most productive of any state reporting the same metrics.

“Mass Audubon monitors 30 percent of the state population and despite the fledgling rate dropping from 1.23 chicks per pair to .99 in 2024, this is still well above the .35 fledged chicks per pair rate estimated to maintain a stable oystercatcher population,” Mass Audubon said.

The post In Conservation Success Story, Massachusetts Piping Plovers Have Their Second Record Nesting Year in a Row appeared first on EcoWatch.

Pass over the stars to rate this post. Your opinion is always welcome.
[Total: 0 Average: 0]

You may also like…

‘Poisoning the Well’ Authors Sharon Udasin and Rachel Frazin on PFAS Contamination and Why It ‘Has Not Received the Attention It Deserves’

‘Poisoning the Well’ Authors Sharon Udasin and Rachel Frazin on PFAS Contamination and Why It ‘Has Not Received the Attention It Deserves’

In the introduction to Sharon Udasin and Rachel Frazin’s new book, Poisoning The Well: How Forever Chemicals Contaminated America, the authors cite an alarming statistic from 2015 that PFAS (per- and polyfluoroalkyl substances) are present in the bodies of an estimated 97% of Americans. How did we ever get to this point? Their book is […]
The post ‘Poisoning the Well’ Authors Sharon Udasin and Rachel Frazin on PFAS Contamination and Why It ‘Has Not Received the Attention It Deserves’ appeared first on EcoWatch.

The Rise of Chemical Recycling: What Recyclers Should Know

The Rise of Chemical Recycling: What Recyclers Should Know

During WWII, plastic appeared as a “material with 1,000 uses.” Fast forward to today, when global production of plastic has surpassed 359 million tons. While plastic has been helpful in many areas, it’s also created problems within the environment. Microscopic particles of plastic are in the soil, air, and water. They’re in animals, fish, and […]
The post The Rise of Chemical Recycling: What Recyclers Should Know appeared first on RecycleNation.

Turning down the heat: how innovative cooling techniques are tackling the rising costs of AI's energy demands

Turning down the heat: how innovative cooling techniques are tackling the rising costs of AI's energy demands

As enterprises accelerate their AI investments, the energy demand of AI’s power-hungry systems is worrying both the organisations footing the power bills as well as those tasked with supplying reliable electricity. From large language models to digital twins crunching massive datasets to run accurate simulations on complex city systems, AI workloads require a tremendous amount of processing power.

Of course, at the heart of this demand are data centres, which are evolving at breakneck speed to support AI’s growing potential. The International Energy Agency’s AI and Energy Special Report recently predicted that data centre electricity consumption will double by 2030, identifying AI as the most significant driver of this increase.1

The IT leaders examining these staggering predictions are rightly zeroing in on improving the efficiency of these powerful systems. However, the lack of expertise in navigating these intricate systems, combined with the rapidity of innovative developments, is causing heads to spin. Although savvy organisations are baking efficiency considerations into IT projects at the outset, and are looking across the entire AI life cycle for opportunities to minimise impact, many don’t know where to start or are leaving efficiency gains on the table. Most are underutilising the multiple IT efficiency levers that could be pulled to reduce the environmental footprint of their IT, such as using energy-efficient software languages and optimising data use to ensure maximum data efficiency of AI workloads. Among the infrastructure innovations, one of the most exciting advancements we are seeing in data centres is direct liquid cooling (DLC). Because the systems that are running AI workloads are producing more heat, traditional air cooling simply is not enough to keep up with the demands of the superchips in the latest systems.

DLC technology pumps liquid coolants through tubes in direct contact with the processors to dissipate heat and has been proven to keep high-powered AI systems running safely. Switching to DLC has had measurable and transformative impact across multiple environments, showing reductions in cooling power consumption by nearly 90% compared to air cooling in supercomputing systems2.

Thankfully, the benefits of DLC are now also extending beyond supercomputers to reach a broader range of higher-performance servers that support both supercomputing and AI workloads. Shifting DLC from a niche offering to a more mainstream option available across more compute systems is enabling more organisations to tap into the efficiency gains made possible by DLC, which in some cases has been shown to deliver up to 65% in annual power savings3. Combining this kind of cooling innovation with new and improved power-use monitoring tools, able report highly accurate and timely insights, is becoming critical for IT teams wanting to optimise their energy use. All this is a welcome evolution for organisations grappling with rising energy costs and that are carefully considering total cost of ownership (TCO) of their IT systems, and is an area of innovation to watch in the coming years.

In Australia, this kind of technical innovation is especially timely. In March 2024, the Australian Senate established the Select Committee on Adopting Artificial Intelligence to examine the opportunities and impacts of AI technologies4. Among its findings and expert submissions was a clear concern about the energy intensity of AI infrastructure. The committee concluded that the Australian Government legislate for increased regulatory clarity, greater energy efficiency standards, and increased investment in renewable energy solutions. For AI sustainability to succeed, it must be driven by policy to set actionable standards, which then fuel innovative solutions.

Infrastructure solutions like DLC will play a critical role in making this possible — not just in reducing emissions and addressing the energy consumption challenge, but also in supporting the long-term viability of AI development across sectors. We’re already seeing this approach succeed in the real world. For example, the Pawsey Supercomputing Centre in Western Australia has adopted DLC technology to support its demanding research workloads and, in doing so, has significantly reduced energy consumption while maintaining the high performance required for AI and scientific computing. It’s a powerful example of how AI data centres can scale sustainably — and telegraphs an actionable blueprint for others to follow.

Furthermore, industry leaders are shifting how they handle the heat generated by these large computing systems in order to drive further efficiency in AI. Successfully using heat from data centres for other uses will be a vital component to mitigating both overall energy security risks and the efficiency challenges that AI introduces. Data centres are being redesigned to capture by-product heat and use it as a valuable resource, rather than dispose of it as waste heat. Several industries are already benefiting from capturing data centre heat, such as in agriculture for greenhouses, or heating buildings in healthcare and residential facilities. This has been successfully implemented in the UK with the Isambard-AI supercomputer and in Finland with the LUMI supercomputer — setting the bar for AI sustainability best practice globally.

The message is clear: as AI becomes a bigger part of digital transformation projects, so too must the consideration for resource-efficient solutions grow. AI sustainability considerations must be factored into each stage of the AI life cycle, with solutions like DLC playing a part in in a multifaceted IT sustainability blueprint.

By working together with governments to set effective and actionable environmental frameworks and benchmarks, we can encourage the growth and evolution of the AI industry, spurring dynamic innovation in solutions and data centre design for the benefit of all.

1. AI is set to drive surging electricity demand from data centres while offering the potential to transform how the energy sector works – News – IEA
2. https://www.hpe.com/us/en/newsroom/blog-post/2024/08/liquid-cooling-a-cool-approach-for-ai.html
3. HPE introduces next-generation ProLiant servers engineered for advanced security, AI automation and greater performance
4. https://www.aph.gov.au/Parliamentary_Business/Committees/Senate/Adopting_Artificial_Intelligence_AI

Image credit: iStock.com/Dragon Claws

0 Comments