Norwegian scientists have suggested half of all ‘data deficient’ species are at risk of extinction because so little is known about them
Often, we simply do not know enough about a species to know how it is doing. On the recognised red list from the International Union for Conservation of Nature (IUCN), thousands of plants and animals are listed as ‘data deficient’.
The researchers simply know too little about these species to be able to form an opinion on whether the species are threatened with extinction or not.
But now we understand a little bit more, and unfortunately, the news isn’t good this time either.
She said: “We looked at species that are relatively poorly known, but where at least the geographical distribution is known.
“These species tend to be threatened with extinction more often than ones that we know more about.”
In fact, over half of these lesser-known species could be in danger of disappearing.
In addition, there are other species that are even less known and for these, it can’t even be said whether they are in trouble or not.
At least one million of our planet’s species are threatened with extinction, according to IPBES, the international panel of leading biodiversity researchers.
But you might have heard other numbers too. The IUCN has assessed 147,000 species and of these, 41,000, or 28%, are threatened.
Partly this gap exists because we haven’t discovered many of the species yet.
Scientists assume that our planet has ten million species, but we know less than 20% of them.
Some species probably disappear without us ever knowing they existed.
If we’re to take care of life on the planet, we first need to know what exists, so it is important to find out as much as possible about the organisms we share the planet with.
However, we often know very little, including about the species that we’re already aware of.
Threats and trends are constantly changing, and we just don’t have enough researchers and helpers to survey everything. But technology can help.
Jan Borgelt, a postdoctoral fellow at NTNU’s Department of Energy and Process Engineering, said: “We used machine learning to calculate the risk of extinction for 7,699 of the little-known species.”
IUCN lists 20,469 species as ‘data deficient’.
Various statistical tools can fill in some of these knowledge gaps with probabilities that computers arrive at.
These computer model-created probabilities were compared with individual examples that the researchers had gone through manually.
The computer models proved to be extremely accurate.
Borgelt stresses that the intention with the models isn’t to replace the researchers’ work.
But he adds: “they can provide a first estimate of the risk of species becoming extinct in cases where we don’t yet have enough data.”
The researchers can save themselves work by using these computer models, which come in handy when the resources don’t match the workload. But it does not make for cheerful reading.
Borgelt stated: “We found that as many as 85% of the amphibians that we have limited knowledge of are in danger of becoming extinct.
“For other groups, like mammals and reptiles, this applies to around half of the species.”
So, species unknown to us often face an uphill battle. But the consolation is that the new knowledge can be of great use if used correctly.
Borgelt argued: “More areas could become worthy of protective measures if we take species that we have little data on into account.”
For example, so-called biodiversity ‘hotspots’ – areas particularly in need of being protected – could thereby become both more numerous and considered even more important.
The results can also be of help to IUCN, as well as when they arrive at their results themselves.
Verones concluded: “We find that the probability of extinction across species groups and regions varies a lot. This could indicate that some research that’s based on the risk assessments is not always correct.”
The research is published in Communications Biology.
Image: Oedipina capitalina was discovered a few years ago. This specimen was found in Honduras. It is listed as ‘insufficient data’ but may in fact be in great danger of extinction. © Josue Ramos Galdamez/ Creative Commons.