The American crocodile, a species once thought to be widespread across the Caribbean, Central America, and Mexico’s Pacific coast, has been hiding secrets. Researchers from McGill University, in collaboration with Mexican scientists, have made a groundbreaking discovery that challenges long-held assumptions about this iconic creature. Two previously unknown species of crocodiles have been found on the island of Cozumel and the atoll of Banco Chinchorro, both located off the Yucatán Peninsula.

“Biodiversity is disappearing faster than we can discover what we’re losing,” said Biology Professor Hans Larsson, the principal investigator. “Most species of crocodiles are already endangered, and rapid shoreline development threatens nearly every population. Our research aimed to uncover the true diversity of crocodiles on these isolated islands.”

Larsson and his team analyzed the genetic sequences of crocodile populations from Cozumel and Banco Chinchorro. By comparing these sequences to those of crocodiles across the Caribbean, Central America, and Mexico’s Pacific coast, they found striking levels of genetic differentiation, leading them to conclude that these populations were not simply variants of Crocodylus acutus.

“These results were totally unexpected,” former Larsson graduate student and lead author José Avila-Cervantes said. “We assumed Crocodylus acutus was a single species ranging from Baja California to Venezuela and across the Caribbean. Our study is the first to extensively explore genomic and anatomical variation in these animals.”

This discovery has significant conservation implications, as the newly identified species live in small, isolated populations, each numbering fewer than 1,000 breeding individuals. While both populations appear stable, their limited numbers and habitat restrictions make them vulnerable.

“The rapid loss of biodiversity can only be slowed if we know what species are most at risk,” said Larsson. “Now that we recognize these crocodiles as distinct species, it’s crucial to protect their habitats. Limiting land development and implementing careful conservation strategies on Cozumel and Banco Chinchorro will be key to ensuring their survival.”

The research was conducted with the help of local colleagues, including Pierre Charruau at El Colegio de la Frontera Sur in Mexico. The team captured and released crocodiles, collecting blood and scale samples for analysis. Genetic sequencing was carried out at McGill by José Avila-Cervantes during his graduate studies, with additional research on skull morphology by fellow McGill graduate student Hoai-Nam Bui.

This research was funded by the Canadian Foundation for Innovation, the Digital Research Alliance of Canada), the Comisión Nacional para el Conocimiento y Uso de la Biodiversidad, and the Natural Sciences and Engineering Research Council of Canada.

Unlocking AI’s Potential: A New Era for Biodiversity Conservation

Scientists from McGill University have made a groundbreaking discovery, revealing the untapped potential of artificial intelligence (AI) to revolutionize biodiversity conservation. A recent study published in Nature Reviews Biodiversity highlights the seven global biodiversity knowledge shortfalls, which hinder our understanding of species distributions and interactions.

“The problem is that we still don’t have basic information about nature, which prevents us from knowing how to protect it,” said Laura Pollock, lead author on the study and assistant professor in McGill’s Department of Biology. “This research aims to bridge this knowledge gap by leveraging AI’s capabilities to analyze vast amounts of biodiversity data.”

The study, a collaboration between computer scientists, ecologists, and an international team of researchers, examines how AI can address the seven global biodiversity knowledge shortfalls. The findings show that AI is currently only being used in two of these areas, leaving significant opportunities untapped.

One example of AI’s potential is BioCLIP, which uses machine learning models to detect species traits from images, aiding in species identification. Additionally, automated insect monitoring platforms like Antenna have helped identify hundreds of new insects.

However, the researchers emphasize that AI can do more. Machine learning models trained on satellite imagery and environmental DNA can map species distributions more accurately than ever before. AI could also help infer species interactions, such as food webs and predator-prey relationships, which remain largely unstudied due to the difficulty of direct observation.

“This research looks at a much broader set of biodiversity questions than previous reviews,” said David Rolnick, co-author of the study, Canada CIFAR AI Chair and assistant professor of computer science at McGill. “It was also surprising to see just how narrowly AI is being applied when it has so much potential to address many of these shortfalls.”

Looking ahead, the research team emphasizes the importance of expanding data-sharing initiatives to improve AI model training, refining algorithms to reduce biases, and ensuring that AI is used ethically in conservation. With global biodiversity targets looming, they say AI, if harnessed effectively, could be one of the most powerful tools available to address the biodiversity crisis.

“AI is changing the way the world works, for better or worse,” said Pollock. “This is one of the ways it could help us.” Protecting biodiversity is crucial because ecosystems sustain human life, and AI can play a vital role in preserving our planet’s precious natural resources.

The article you provided has been rewritten to improve clarity, structure, and style while maintaining its core ideas. Here is the rewritten version:

Three Phases to a Continent: Unraveling the Mystery of Biodiversity Distribution Across Scales

For decades, ecologists have recognized that the number of species doesn’t increase evenly when moving from local ecosystems to continental scales. This phenomenon has been observed in various regions and species groups, yet the underlying reasons remained unclear until now.

A team of international scientists, including researchers from the German Centre for Integrative Biodiversity Research (iDiv) and the Martin Luther University Halle-Wittenberg (MLU), has developed a new theory to explain the three distinct phases typical of species distributions across scales. This breakthrough, published in the journal Nature Communications, may be crucial for estimating how many species are lost when habitats are destroyed.

As one moves from a small area to the continental scale, the number of species increases. For example, a village pond might host only a handful of amphibian species, but as the scale expands to include rivers and marshes, more frogs, toads, or salamanders appear, reaching several hundred or thousand species at the continental or intercontinental level.

These patterns are known as Species-Area Relationships (SARs). Ecologists have long observed that SARs follow a characteristic three-phase pattern:

1. Phase One (Local to Regional): The number of species increases rapidly in small areas, such as village ponds or local forests.
2. Phase Two (Regional to Continental): As the scale expands, the increase in species slows down, and the rate of new species appearances becomes more gradual.
3. Phase Three (Continental to Intercontinental): Finally, at the continental level, the number of species accelerates once again, with new species appearing at an increasingly rapid pace.

Researchers have now developed a universal theory to explain these three-phase patterns and estimate the number of species at key transition points between the phases. “This is a major step forward in ecology,” says first author Dr Luís Borda-de-Água from the CIBIO research centre in Portugal. “We demonstrated that the individual geographical ranges of all species within the studied areas shape the typical species distribution patterns (SARs) we observe across the globe. By combining these distributions in a novel way, we developed a formula to estimate the number of species at the transitions between different phases.”

Conservation implications of new theory

Such estimates can be crucial for biodiversity conservation. For instance, identifying where the rate of new species appearances changes can help estimate how many species are lost when habitats are destroyed. Such figures form the basis of extinction rate calculations in international biodiversity reports.

To validate their theory, the researchers compared SARs based on observation data from various species groups, such as birds and amphibians, with their calculated estimates, utilising around 700 million observations from a single dataset for their analysis. The strong agreement between data and theory gives scientists great confidence in their approach.

The fascination of ecological theory

“Discovering fundamental principles in ecology is just as thrilling as breakthroughs in physics,” says senior author Prof Henrique Pereira from iDiv and MLU. “New findings like ours unveil hidden patterns that have been shaping life on Earth for millions of years. Just as physics deciphers the universe’s deepest mysteries, new ecological theory can reveal the fundamental forces shaping biodiversity on our amazing planet.”