Hundreds of “Hidden” New Mammal Species Waiting To Be Found

Research suggests where these species may be “hidden.”

At least hundreds of so-far unidentified species of mammals are hiding in plain sight around the world, a new study suggests.

Researchers found that most of these hidden mammals are small bodied, many of them bats, rodents, shrews, and moles.

These unknown mammals are hidden in plain sight partly because most are small and look so much like known animals that biologists have not been able to recognize they are actually a different species, said study co-author Bryan Carstens, a professor of evolution, ecology and organismal biology at The Ohio State University.

“Small, subtle differences in appearance are harder to notice when you’re looking at a tiny animal that weighs 10 grams than when you’re looking at something that is human-sized,” Carstens said.

“You can’t tell they are different species unless you do a genetic analysis.”

The study was published on March 28, 2022, in the journal Proceedings of the National Academy of Sciences.

Machine Learning to Predict Hidden Species

The team, led by Ohio State graduate student Danielle Parsons, used a supercomputer and machine-learning techniques to analyze millions of publicly available gene sequences from 4,310 mammal species, as well as data on where the animals live, their environment, life history, and other relevant information.

This allowed them to build a predictive model to identify the taxa of mammals that are likely to contain hidden species.

“Based on our analysis, a conservative estimate would be that there are hundreds of species of mammals worldwide that have yet to be identified,” Carstens said.

That finding, in itself, would not be surprising to biologists, he said. Only an estimated 1 to 10% of Earth’s species have been formally described by researchers.

“What we did that was new was predict where these new species are most likely to be found,” Carstens said.

New Species Likely in Tropical Rainforests and the U.S.

Results showed unidentified species are most likely to be found in the families of small-bodied animals, such as bats and rodents.

The researchers’ model also predicted hidden species would most likely be found in species that have wider geographic ranges with higher variability in temperature and precipitation.

Many of the hidden species are also likely to occur in tropical rain forests, which is not surprising because that’s where most mammal species occur.

But many unidentified species are also likely living here in the United States, Carstens said. His lab has identified some of them. For example, in 2018, Carstens and his then-graduate student Ariadna Morales published a paper showing that the little brown bat, found in much of North America, is actually five different species.

That study also showed a key reason why it is important to identify new species. One of the newly delimited bats had a very narrow range where it lived, just around the Great Basin in Nevada – making its protection especially critical.

“That knowledge is important to people who are doing conservation work. We can’t protect a species if we don’t know that it exists. As soon as we name something as a species, that matters in a lot of legal and other ways,” Carstens said.

Mammals: Surprisingly Well Described Compared to Other Animals

Based on the results of this study, Carstens estimates that somewhere near 80% of mammal species worldwide have been identified.

“The shocking thing is that mammals are very well described compared to beetles or ants or other types of animals,” he said.

“We know a lot more about mammals than many other animals because they tend to be larger and are more closely related to humans, which makes them more interesting to us.”

Reference: “Analysis of biodiversity data suggests that mammal species are hidden in predictable places” by Danielle J. Parsons, Tara A. Pelletier, Jamin G. Wieringa, Drew J. Duckett and Bryan C. Carstens, 28 March 2022, Proceedings of the National Academy of Sciences.
DOI: 10.1073/pnas.2103400119

The study was supported by the National Science Foundation and the Ohio Supercomputer Center.

Other co-authors were Tara Pelletier, assistant professor of biology at Radford University; and Jamin Wieringa and Drew Duckett, graduate students at Ohio State.

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