VOA科学技术2023--Scientists Try Listening to Learn about Wildlife

Scientists Try Listening to Learn about Wildlife

A team of scientists is studying the sound of the forest in Ecuador to learn how artificial intelligence (AI) could follow animal life in recovering environments.

When scientists want to measure new forest growth, they can study large areas of land with tools like satellites and lidar.

But understanding how fast and in what amount wildlife is returning to an area is more difficult. Sometimes it requires an expert to listen through sound recordings¹ and pick out animal calls.

Jorg Muller is a field expert on birds at the University of Wurzburg Biocenter in Germany. He wondered if there was a different way.

Muller told the French news agency AFP: "I saw the gap that we need, particularly in the tropics, better methods to quantify the huge diversity... to improve conservation actions."

So, he turned to bioacoustics, which uses sound to learn more about animal life and the environments in which they live.

The tool has been used by scientists for some time. But more recently, researchers are using it with computer learning to study large amounts of data more quickly.

Muller and his team recorded wildlife sounds at sites in Ecuador's Choco area. The environments they recorded included areas that were once used for agriculture and raising livestock² to old-growth forests.

They first had experts listen to the recordings and index the sounds of different animals. Then, they examine the sound quality to measure the environment.

Finally, they ran two weeks of recordings through an AI computer program trained to understand 75 different bird calls.

More recordings needed

The program was able to pick out the calls on which it was trained. However, scientists wondered if the program could correctly identify the number of different kinds of plants and animals in each environment.

To see if the program could do that, the team used two different controls. One was from the experts who listened to the audio recordings, and the second was based on examples from each environment, which can be used to understand biodiversity.

Since the amount of available sounds used to train is limited, the AI program could only identify one-fourth of the bird calls that experts could. But it was still able to correctly measure biodiversity levels in each environment, the study said.

The research was published recently in Nature Communications. The study said the scientists' results show that the AI program is a powerful tool to measure the recovery of animal communities in tropical forests.

The research noted³ that biodiversity found from recordings can be quantified in a cost-effective and complete way. And it said that it can measure environments, "... from active agriculture to recovering and old-growth forests."

There are still areas for improvement, including the lack of animal sounds on which to train AI models. And the method can only capture animals that use sound to communicate.

Words in This Story

lidar – n. a remote sensing method that uses light in the form of a pulsed laser to measure ranges (variable distances) to the Earth

gap – n. a missing part

quantify – v. to find or calculate the quantity or amount of (something)

diversity – n. the quality or state of having many different forms, types, or ideas

conservation – n. the protection of animals, plants, and natural resources

tropics – n. the part of the world that is near the equator where the weather is very warm

1 recordings   

n.记录( recording的名词复数 )；录音；录像；唱片

参考例句：

• a boxed set of original recordings 一套盒装原声录音带
• old jazz recordings reissued on CD 以激光唱片重新发行的老爵士乐

2 livestock   

n.家畜，牲畜

参考例句：

• Both men and livestock are flourishing.人畜两旺。
• The heavy rains and flooding killed scores of livestock.暴雨和大水淹死了许多牲口。

3 noted   

adj.著名的，知名的

参考例句：

• The local hotel is noted for its good table.当地的那家酒店以餐食精美而著称。
• Jim is noted for arriving late for work.吉姆上班迟到出了名。