Thursday, April 04, 2024

 

A real life Eye of Sauron? New project to spot possible chemical threats in the air



UNIVERSITY OF COLORADO AT BOULDER





Picture this disaster scenario in the making: At an industrial plant, a pipe cracks, spraying a cloud of tiny droplets into the air. Workers, however, are in luck. Within minutes, a laser-based device the size of a small suitcase spots the cloud and tells safety crews what’s in it so they know how to respond.

That’s the vision behind a new project from a team of engineers and chemists at the University of Colorado Boulder, California Institute of Technology, University of California Santa Barbara, and three companies. It’s funded by a new contract from the Intelligence Advanced Research Projects Activity (IARPA), part of the federal Office of the Director of National Intelligence.

The effort borrows its name, the Standoff Aerosol measUrement Remote Optical Network (SAURON), from the villain in “The Lord of the Rings” book series—a presence who often takes the form of a flaming eye and whose “gaze pierces cloud, shadow, earth.”

“That’s the idea here: an all-seeing eye that can detect hazardous aerosols against a very crowded background of other substances,” said Greg Rieker, professor in the Paul M. Rady Department of Mechanical Engineering and principal investigator for the project.

SAURON, he explained, will zoom in on aerosols, the term for a wide range of tiny particles that float in the air. Some aerosols can contain chemicals that pose serious risks to humans, such as Polycyclic Aromatic Hydrocarbons. Ammonium nitrate, a common ingredient in explosives, also forms aerosols. So can fentanyl, an opioid drug that can be deadly in even small quantities.

To detect such hazards, the team is turning to a Nobel Prize-winning technology called a frequency comb laser. The researchers hope their devices could, in the not-so-distant future, help protect people from a range of airborne threats, including industrial accidents and even potential chemical attacks in crowded cities.

“The lasers will run off of batteries, so you can deploy them at an airport, on city blocks or in industrial sites where they use hazardous materials,” said Scott Diddams, professor in the Department of Electrical, Computer & Energy Engineering. “Right off the bat, people would know if there was a failure or a leak.”

CU Boulder co-principal investigators on the project include Diddams, Daven Henze, professor of mechanical engineering, and Jose Jimenez, professor of chemistry and fellow at the Cooperative Institute for Research in Environmental Sciences (CIRES).

Seeing the invisible

Spotting dangerous aerosols is, in many ways, the ultimate “needle in a haystack” task. The air people breathe is a lot more complicated than it looks.

“At any time in the atmosphere, methane and carbon dioxide are present, and other examples of what we call volatile organic compounds,” Rieker said. “There is a lot of clutter.”

The team believes that frequency comb lasers may be able to help sort through that clutter. 

Diddams was among the members of a team at JILA, a joint research institute between CU Boulder and the National Institute of Standards and Technology (JILA), that pioneered these tools. The group, led by Nobel Laureate Jan Hall, used frequency comb lasers for research in quantum metrology and optical clocks. Unlike traditional lasers, frequency comb lasers shoot out a beam of light with millions of colors, all at the same time.

If you beam such light through an environment, these lasers can act like a fingerprint scanner for aerosols—teasing out the signals from even minute concentrations of particles or gases in the air. The project team includes LongPath Technologies, which uses these tools to search for methane leaks at oil and gas facilities. Rieker co-founded LongPath in 2017.

Over three-and-a-half years, SAURON researchers will work to make their lasers even more sensitive and much more compact. To do that, the group is incorporating new “integrated photonics” technology pioneered by Kerry Vahala at Caltech, John Bowers at UC Santa Barbara and the companies Nexus Photonics and hQphotonics. The team will design its devices on small chips that transmit information not using electronic signals but light beams. The work is part of the Quantum Engineering Initiative at CU boulder.

“They are like traditional silicon computer chips, but with light being generated, moving around and interacting in ways that make it useful for sensing,” Diddams said.

SAURON is an example of researchers at CU Boulder taking advances in fundamental science and transforming them into tangible technologies that could one day safeguard people. 

“We’re taking technologies that have been developed for quantum science and are translating them for a wide range of applications,” Rieker said.

 

SUNY ESF leads groundbreaking research in groundwater’s role in ecosystem sustainability



SUNY COLLEGE OF ENVIRONMENTAL SCIENCE AND FORESTRY
Dr. Melissa Rohde 

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DR. MELISSA ROHDE

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CREDIT: SUNY COLLEGE OF ENVIRONMENTAL SCIENCE AND FORESTRY





Syracuse, N.Y. – April 2, 2024 – Until now, groundwater – a critical water resource around the globe, especially in dry regions – has been largely unstudied in its importance and role in sustaining ecosystems. A new groundbreaking research effort led by the SUNY College of Environmental Science and Forestry (ESF) in partnership with University of California Santa Barbara (UCSB), Cardiff University, and Desert Research Institute (DRI) examines the relationship between groundwater and ecosystems across California. Their innovative findings are featured in Nature Water.

Led by Dr. Melissa Rohde, who completed the study as part of her doctoral research in Dr. John Stella’s Riparian Echohydrology Lab at ESF, the team used satellite imagery and groundwater monitoring data to identify thresholds of groundwater depth and seasonal change that can support sensitive ecosystems throughout California under the state’s Sustainable Groundwater Management Act framework. 

“A vast majority of our planet’s freshwater is groundwater, but we don’t acknowledge or manage it sustainably, resulting in serious consequences for humans and natural ecosystems,” said Dr. Rohde, now Principal at Rohde Environmental Consulting, LLC. “Groundwater is critical for many ecosystems, but their water requirements are rarely accounted for by water agencies and conservationists. To reconcile that, our study provides a simple and practical approach to detect ecological thresholds and targets that can be used by practitioners to allocate and manage water resources.”

Utilizing 38 years of Landsat satellite images (1985-2022) and statewide groundwater well data, the study examined impacts on key plant communities. A major challenge was to develop standardized metrics that can be applied across diverse ecosystems with site-specific water conditions. The team applied a common data transformation method in a new way to identify thresholds of vegetation greenness and groundwater depth over time that can determine groundwater needs for ecosystems, helping to inform decisions about water use and planning. 

“Groundwater-dependent ecosystems such as wetlands, floodplains, and riparian zones have a very outsized importance on biodiversity. Upwards of 80 to 90 percent of species in a general region may be dependent on these ecosystems in some form or another,” said Dr. Stella, study co-author and Vice President for Research at ESF. “We applied a simple statistical approach to very large data sets to identify warning signs and conservation targets for a great diversity of ecosystem types.”  

The vast geographic scope and long timeline covered by the study, allowed the team to evaluate how large-scale systems respond to major climate shocks such as the historical California drought that occurred from 2012—2016, as well as where individual groundwater-dependent ecosystems can serve as resilient drought refugia. 

“This type of study, covering the entire state of California over close to 40 years, has really only become possible in the past few years and shows the promise for similar studies over a much larger geographic area using the approach pioneered by Dr. Rohde,” remarked co-author, Dr. Dar Roberts from UCSB.

It was discovered that during drought events, groundwater-dependent vegetation that maintains a connection to groundwater can serve as critical drought refugia for associated species, such as riparian birds or fish. However, when groundwater levels deepen beyond plants’ rooting zones during drought, these safe havens can be lost. 

"A key takeaway from this study is that we can use what we know about how deep the roots of different types of plants tend to be to approximate what groundwater levels are needed to maintain ecosystem health,” said co-author Dr. Christine Albano from DRI. “We found that vegetation was healthier where groundwater levels were within about 1 meter of maximum root depth, as compared to where groundwater was deeper." 

The research team is hopeful that their approach and findings can help inform water management decisions in California and beyond.

"This study arms groundwater managers with an intuitive, site-specific measure that can provide a data-driven foundation to guide water allocation and ecosystem restoration efforts," said co-author and professor Kelly Caylor from UCSB.

“Globally, there are increasing efforts to manage groundwater resources for multiple purposes, not only to support drinking water needs or high-value agriculture. Our work provides a sound basis on which to develop clear guidelines for how to manage groundwater to support a wide range of needs within drainage basins in California and beyond,” said co-author Prof. Michael Singer from Cardiff University. 

About SUNY ESF

The SUNY College of Environmental Science and Forestry (ESF) is dedicated to the study of the environment, developing renewable technologies, and building a sustainable and resilient future through design, policy, and management of the environment and natural resources. Members of the College community share a passion for protecting the health of the planet and a deep commitment to the rigorous application of science to improve the way humans interact with the world. The College offers academic programs ranging from the associate of applied science to the Doctor of Philosophy. ESF students live, study and do research on the main campus in Syracuse, N.Y., and on 25,000 acres of field stations in a variety of ecosystems across the state.

 

Are universities connected to local sustainability? A new study suggests yes…and no.



NORTH CAROLINA STATE UNIVERSITY






A new study finds that universities scoring strongly on measures of sustainability are associated with innovation and economic growth in their surrounding communities. However, the study did not find similar connections between university sustainability performance and environmental sustainability in their home communities.

“Society is facing a slew of global challenges, and we wanted to assess the extent to which higher education is contributing to the sort of transformative change needed to address these challenges,” says Christopher Galik, co-author of the study and a professor of public administration at North Carolina State University. “For this study, we started at the local level, exploring whether there was any association between university sustainability performance and sustainability in their surrounding communities.”

To explore the issue, researchers looked at data from 105 metropolitan areas in the United States, which are collectively home to 427 higher education institutions. Specifically, the researchers drew on data from two sources, the U.S. Cities Sustainable Development Goal (SDG) Index and the QS Sustainability Universities Ranking.

The SDG Index aggregates dozens of metrics related to a municipality’s sustainability efforts, covering issues such as climate action, energy efficiency and water use. The QS Sustainability Universities Ranking evaluates university efforts related to environmental sustainability as well as efforts aimed at addressing social concerns, such as global partnerships, community engagement and the health and well-being of students, faculty and staff.

The researchers wanted to see whether there was any relationship between universities that scored well on the QS Sustainability Universities Ranking and the municipalities that scored well on the SDGs.

“Sustainability is complicated – it has lots of different components,” says Ha Vien, first author of the paper and a Ph.D. student at North Carolina State University. “And we found that universities are associated with progress on some of those measures, but not others.”

The good news is that there was a very strong correlation between universities that score well on sustainability and communities that score well on innovation, reducing poverty, creating economic opportunities and reducing inequality.

“The bad news is that universities that perform strongly on sustainability measures are also associated with a decline in responsible consumption and production – measured here as increased air pollution and release of toxic chemicals – in their surrounding areas,” Vien says. “There was also little or no correlation between universities that scored well on environmental sustainability and the environmental sustainability scores of their communities.”

“This is an observational study, so it’s impossible to determine causation,” Galik says. “However, the evidence suggests two things. First, universities continue to be strongly associated with innovation and economic development. But second, the idea that universities can contribute to broader sustainable transformations doesn’t seem to be realized yet, at least on a large scale.”

“It took significant time and effort for universities to become the economic drivers that we see today,” Vien says. “Looking into the future, climate change will continue to be a defining challenge for the foreseeable future. Our findings highlight that there are still a lot of opportunities for higher education to make more of a difference in surrounding communities.”

The paper, “Individual and interlinked SDGs: higher education institutions and metro area sustainability performance,” is published in the International Journal of Sustainability in Higher Education.

University of Houston research reveals pre-collapse monitoring of Kakhovka dam, Ukraine



Despite Russian invasion, collapse may have been ongoing




UNIVERSITY OF HOUSTON

University of Houston assistant professor of Civil and Environmental Engineering Pietro Milillo 

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UNIVERSITY OF HOUSTON ASSISTANT PROFESSOR OF CIVIL AND ENVIRONMENTAL ENGINEERING PIETRO MILILLO IS REPORTING THAT THE KAKHOVKA DAM IN UKRAINE, WHICH SUFFERED A COLLAPSE WHILE UNDER RUSSIAN CONTROL, MAY HAVE ALREADY BEEN COLLAPSING AHEAD OF THE RUSSIAN INVASION. 

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CREDIT: UNIVERSITY OF HOUSTON





On the morning of June 6, 2023, a substantial portion of the Kakhovka Dam in Ukraine - vital for water management and hydroelectric power generation - suffered a collapse while under Russian control. Russia had seized the dam early into its invasion of Ukraine, and though independent investigations suggested that Russia destroyed it to prevent a counterattack from Ukraine, Russia has denied responsibility. New findings published this morning in the journal Nature Communications Earth and Environment from a University of Houston spaceborne-monitoring team indicate the dam may have had deformation hotspots before the war, pre-dating the actual collapse. 

“Through our analysis, we observed displacements characterizing different segments of the dam, up to two years prior to the actual collapse,” reports UH assistant professor of Civil and Environmental Engineering Pietro Milillo. In the article, Milillo and team present the results of a methodology called InSAR (Interferometric Synthetic Aperture Radar) which measures infrastructure deformation from space with millimetric accuracy using radar images of the Earth's surface collected from orbiting satellites. 

The findings came about while the team was conducting a study monitoring the stability of infrastructure during the Russian invasion of Ukraine. By leveraging spaceborne technology, the team, including the German Aerospace Center (DLR) and the Delft University of Technology (TU Delft) uncovered previously unseen details of the pre-collapse of the dam and detected movements and deformations in the dam years before the collapse, providing valuable insights into its stability. 

"This study highlights the significance of proactive monitoring and the role of remote sensing in ensuring the safety and integrity of critical infrastructure” said lead author Amin Tavakkoliestahbanati, co-author and graduate student in Geosensing System Engineering in the Civil and Environmental Engineering Department at UH. "Our findings emphasize the importance of continuous surveillance to detect and address potential risks before they escalate into catastrophic events." 

“Only in recent times are we able to observe such phenomena thanks to the increased number of satellites flying in space capable of such measurements,” said Milillo, who is also a visiting scientist at DLR.  

“Current hypotheses ascribe the collapse of the dam to an explosion that occurred on June 6, 2023. Although our analysis cannot exclude an explosion that occurred on that date, they can identify existing damage mechanisms that might have affected the dam before its collapse,” said Milillo. 

Milillo said that the data in the study support the hypothesis that the structure was moving downward since June 2021. “With the beginning of the war, neglected dam maintenance and operations might have destabilized the structure over specific areas, favoring the development of the above-mentioned mechanisms,” he said.  
 
The research not only offers valuable insights into the events leading to the collapse of the Kakhovka Dam but also underscores the potential of InSAR as a proactive monitoring tool for infrastructure stability assessment.  

As the world faces increasing challenges related to climate change and geopolitical instability, such studies pave the way for more informed decision-making processes and enhanced risk assessment strategies. InSAR’s ability to detect and quantify ground movements with high precision and over extended periods of time contributes to enhanced risk assessment, forensic engineering activities and informed decision-making processes.  

The research was supported by the NASA Decadal Survey Incubation Studies. Joining Tavakkoliestahbanati and Milillo on the project were Giorgia Giardina and Hao Kuai at TU Delft. 

 ENTOMOLOGY

 

Where the wild bees are—and aren’t—impacts food supply


UNIVERSITY OF BRITISH COLUMBIA
Dr. Matthew Mitchell 

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NEW RESEARCH LED BY UBC LANDSCAPE ECOLOGIST DR. MATTHEW MITCHELL HIGHLIGHTS THE LINK BETWEEN LOST WILD POLLINATORS AND FOOD PRODUCTION AND PROPOSES WAYS THE PUBLIC CAN CONTRIBUTE TO PROTECTING WILD BEES.

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CREDIT: MATTHEW MITCHELL/UBC





Honey bees—plump, fuzzy and famed for their honey-making—capture the popular imagination. Yet, wild bees are equally vital for pollination and, by some measures, outshine honey bees as pollinators. This is why UBC researcher Matthew Mitchell and his colleagues are deeply concerned about their declining populations.

Dr. Mitchell, a landscape ecologist in the faculties of forestry and land and food systems, sheds light on the link between diminishing numbers of wild pollinators and reduced farm productivity in a recent study published in Environmental Research Letters. In this Q&A, he delves into the research findings and proposes ways the public can contribute to protecting wild bees.

Where can we find wild pollinators, and why are they essential?

Native wild bees—which include mason bees, carpenter bees, sweat bees and bumble bees—and other wild pollinators like moths, wasps, beetles and flies, are found everywhere: in parks and fields, near farms and forests. There are more than 800 species of just native bees in Canada, not counting other pollinators.

Wild pollinators play a vital role in pollinating various crops, including fruits, vegetables, nuts and oilseeds. Blueberries, cranberries, buckwheat, canola and orchard crops rely heavily on wild pollinators. Wild pollinators also help preserve biodiversity by facilitating the reproduction of numerous plant species.

Native pollinator populations are declining from habitat destruction and fragmentation, widespread pesticide use, and the spread of parasites and pathogens like mites and viruses.

What would happen if all wild pollinators were to disappear?

We'd likely witness a loss of native plant species reliant on wild pollinators, and significant crop yield reductions where wild pollinators supplement or are the sole pollinators of crops. Farmers would face higher costs to cultivate pollinator-dependent crops, as reliance solely on European honey bees wouldn't always be feasible given current honey bee capacity. In some cases, farmers might shift production away from pollinator-dependent crops, leading to increased costs to consumers or scarcity of fruits and vegetables in supermarkets.

Your study focused on the impact of wild pollinator numbers on food-production potential. What did you find?

In Canada, wild pollinators aid in pollinating crops that generate an annual farm income of nearly $2.8 billion and produce calories and nutrients that could feed the equivalent of around 24 million people (although not all these crops are directly consumed by people, as some go to livestock).

Collaborating with colleagues at the Nature Conservancy Canada, we analyzed publicly available data on crops, farm income and nearby pollinator habitats such as forests, wetlands and grasslands to estimate the potential food production and farm income that could be gained if wild pollination was increased.

In Saskatchewan and Alberta, the two provinces most affected by lack of pollinator habitat near croplands, increasing wild pollinator habitat and populations could potentially increase food production by the equivalent of 11.5 million and 4.3 million people fed, respectively, and increase farm income by approximately $1.6 billion for Saskatchewan and $597 million for Alberta.

What can be done to reverse the decline?

Solutions include targeted conservation efforts, such as restoring pollinator habitat in areas where crops depend most on wild pollinators. It's also crucial to promote sustainable farming practices that restore and maintain wild pollinator habitats near croplands.

On an individual or community level, urban gardens, especially if they include pollinator-friendly plants, can greatly benefit wild bees. Advocating for sustainable farming and habitat conservation can influence policymakers.

If addressed, targeted increases in wild pollinator habitat in Canada could help provide additional nutrition for an equivalent of 30 million people annually and increase farmer income by up to $3 billion every year. We would ensure the long-term health of native pollinators and enhance the sustainability and stability of Canadian agriculture and food supply. Without these types of actions, farmers will instead have to use other, potentially more costly, ways to increase productivity or will have to rely on honey bees.

Yellowheaded bumble bee

Flower fly, Eristalis species (IMAGE)

UNIVERSITY OF BRITISH COLUMBIA

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METHOD OF RESEARCH

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Butterflies, bees, ants and flies are the most widely referenced arthropods in a sample of almost 4,000 haiku - which commonly describe their color, flight and ecology



PLOS
Diversity and complexity of arthropod references in haiku 

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THERE ARE THOUSANDS OF HAIKU ABOUT INSECTS, SPIDERS, AND RELATED ARTHROPODS. A NEW STUDY REVEALS WHICH KINDS AND WHICH ASPECTS OF THEIR BIOLOGY ARE REPRESENTED.

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CREDIT: MICHAEL TRIBONE / PENN STATE, CC-BY 4.0 (HTTPS://CREATIVECOMMONS.ORG/LICENSES/BY/4.0/)




Butterflies, bees, ants and flies are the most widely referenced arthropods in a sample of almost 4,000 haiku - which commonly describe their color, flight and ecology

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Article URL:  https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0298865

Article Title: Diversity and complexity of arthropod references in haiku

Author Countries: USA

Funding: The author(s) received no specific funding for this work.

Researchers at UMass Amherst are listening in on the world’s rulers—insects—to better gauge environmental health


New study identifies best AI method for monitoring insect populations


UNIVERSITY OF MASSACHUSETTS AMHERST

“Insects rule the world,” says Figueroa—and they can be identified by their distinctive sounds. 

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“INSECTS RULE THE WORLD,” SAYS FIGUEROA—AND THEY CAN BE IDENTIFIED BY THEIR DISTINCTIVE SOUNDS.

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CREDIT: PAUL WRIGHT




AMHERST, Mass. – Recent research led by the University of Massachusetts Amherst evaluates how well machine learning can identify different insect species by their sound, from malaria-carrying mosquitoes and grain-hungry weevils to crop-pollinating bees and sap-sucking cicadas. Listening in on the insect world gives us a way to monitor how populations of insects are shifting, and so can tell us about the overall health of the environment. The study, published in the Journal of Applied Ecology, suggests that machine and deep learning are becoming the gold standards for automated bioacoustics modeling, and that ecologists and machine-learning experts can fruitfully work together to develop the technology’s full potential.

“Insects rule the world,” says Laura Figueroa, assistant professor of environmental conservation at UMass Amherst and the paper’s senior author. “Some are disease vectors and pests, while others pollinate nutritious crops and cycle nutrients. They’re the foundation of ecosystems around the world, being food for animals ranging from birds and fishes to bears and humans. Everywhere we look, there are insects, but it’s difficult to get a sense of how their populations are changing.”

Indeed, in the age of chemical pesticides, climate change and other environmental stressors, insect populations are changing drastically. Some species—like the pollinators that are annually responsible for ecosystem services estimated at well over $200 billion worldwide—seem to be crashing, while others, like mosquitoes that can carry malaria, dengue and other diseases, seem to be surging. Yet it can be difficult to get an accurate picture how insect populations are shifting.

Many traditional methods of sampling insect populations involve sending entomologists out into the field to collect and identify individual species, and while these methods can yield reliable results, it’s also time and resource intensive and often lethal to the insects that get caught. This is where AI comes into the picture.

“After working in the field for over a decade, I can tell the difference between a bee’s buzz and a fly’s buzz,” says Figueroa. “Since many, but not all, insects emit sound, we should be able train AI models to identify them by the unique sounds they make.”

In fact, such training is already happening—but which AI methods are best?

To answer this question, Figueroa and her colleagues, including lead author Anna Kohlberg, who completed this research while working in the Figueroa lab, conducted a systematic literature review to analyze studies that used different kinds of automated bioacoustics models to identify insects. They found models for 302 different species spread across nine taxonomic orders. They broke the resulting models down into three broad categories: non-machine learning, machine learning and deep learning.

The non-machine learning models match insect calls to specific markers that human researchers designate as keys for identification, such as a particular frequency band in a katydid’s call. The model then “listens” for those specific, human-designated cues.

Machine learning, on the other hand, has no pre-ordained set of markers that it uses and instead relies on a flexible computational framework to find relevant patterns in the sounds, then matches those patterns to bioacoustics data that it has been trained on.

Deep learning, a specialized kind of machine learning, relies on more advanced neural computational frameworks that give the model more flexibility in effectively identifying relevant bioacoustics patterns. As it turns out, the models relying on deep learning are the most successful. Some of the best can classify hundreds of species with more than 90% accuracy.

“This doesn’t mean that AI can or should replace all traditional monitoring approaches,” says Kohlberg, and there are limitations in what they can do. Most of the models need huge sets of data to train on, and while they are getting better at working with smaller data sets, they remain data-intensive tools. Furthermore, not all insects emit sounds—such as aphids. And very noisy contexts, like an urban environment, can easily confuse sound-based monitoring efforts.

“Automated bioacoustics is a key tool in a multifaceted toolkit that we can use to effectively monitor these important organisms all over the world,” says Kohlberg.

A full media kit containing images and audio is available here.