Unlocking the carbon-capture potential of kelp forests

Cambridge Earth Sciences PhD student Zhenna Azimrayat Andrews visited the Ocean Rainforest Inc.’s (ORI) pilot kelp farm, off the California coast, last summer. The results Zhenna gathered alongside an international team will help her construct model simulations of carbon capture using kelp farms. Zhenna reports on her fieldwork here.

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Exploring water flow paths in Nepal

Sitting on the ridge top, looking over the expanse of rice paddies dotted with villages, and views down the valley for miles, it’s easy to be captivated by the rural landscape of Nepal.

We’d come to the Melamchi Valley, a few hours outside Kathmandu, to continue fieldwork exploring spring flow paths and their implications for silicate weathering and carbon drawdown in the Himalayas. Our team included us (Zara and Gio, Part III students), trip leader Ed Tipper, PhD student (now successful Dr) Al Knight and two university students from Kathmandu.

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From magma to magnets: a summer of fieldwork in Greenland investigating critical metal behaviour in alkaline intrusions

This summer Carrie Soderman, Owen Weller and Charlie Beard headed to Greenland to investigate how metals critical for green technologies form.

Rare earth elements (REEs) are classed as ‘critical metals’ in modern society, meaning a group of metals and minerals that cannot be easily substituted in technology but whose supply is at risk. In particular, the REEs are a vital part of green energy transition technologies, such as the magnets that go inside motors for wind turbines and electric vehicles. Demand for these elements is therefore expected to increase rapidly in the coming decades.

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Speaking the language of coral: using machine learning to predict future distributions of reefs

It’s hard to move these days for the number of AI-powered chatbots: including the now-ubiquitous ChatGPT. The possibilities are endless, from replying to emails to looking for recipe inspiration to end your four-day pasta streak. But the algorithms underpinning these bots can also classify information. Take a movie review, for instance: ChatGPT can distinguish between positive or negative feedback.

In my PhD research, I’m using the same algorithmic architecture that underpins these bots—also known as large language models, or LLMs—to classify decades of environmental data. Specifically, I’m asking: given historic and forecasted physical conditions in the ocean, which locations would get a positive review for their long-term ability to support coral and other reef-building organisms?

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Paleo-environmental controls on the rise and fall of the Ediacaran Biota


The Ediacaran biota pose a riddle that scientists have grappled with for decades. Found in three distinct biotic assemblages – the Avalon (575–560 million years ago; Ma), White Sea (560–550 Ma), and Nama (550–539 Ma) – these peculiar Ediacaran organisms may hold the key to unlocking the secrets of early animal evolution. Conventional studies tie diversity and ecological changes across these assemblages to biological radiation and extinction events. Can a closer look at the preserved paleo-environments that contain the fossils, using our sedimentology and stratigraphy toolkit, offer a fresh perspective?

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Meet the PhD student using AI to improve forecasts of sea level extremes

Lisanne is in the first year of her PhD on sea level extremes, working with Cambridge Earth Science’s Dr Ali Mashayek and Dr. Andrea Marinoni (UiT the Arctic University of Norway). Lisanne’s project is hosted by the AI4ER (Application of Artificial Intelligence to the study of Environmental Risks) Centre for Doctoral Training programme. Lisanne talks to Erin about her research below.

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The deep ocean is closer than you think: scientific research and life at sea

Nick Reynard is a postdoc in the Centre for Climate Repair in Cambridge, working with Ali Mashayek’s research group at the Department of Earth Sciences. Here, Nick recounts his experience of boarding a five-week scientific cruise in search of the deep Antarctic waters that rise in the Madagascar Basin.

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