1 . New research shows that removing black rhinos’ horns (犀牛角) to make them less attractive to illegal hunters is reducing their territory (领地) sizes and making them less sociable with each other.
The study, published in the journal PNAS, found that dehorned South African rhinos have home ranges that are 45 per cent smaller than those of complete animals, and that they were 37 percent less likely to engage in social interactions.
“The big, dominant bulls that used to have very large territories that overlapped with a lot of females may now have much less territory and much less reproductive (繁殖的) success,” says Vanessa Duthé, who led the work at Switzerland’s University of Neuchâtel.
“It’s really hard to predict the effects of this,” she says. “It doesn’t mean that population success will necessarily decline, because it might open up gaps for younger males that would not have had the space or the means before.” Indeed, a University of Bristol study published last year showed that dehorning (去角) does not negatively affect populations overall.
But such unintended behavioral consequences necessarily feed into judgments about whether this highly invasive procedure is worthwhile. Remarkably, perhaps, there is little hard evidence either way. “No one’s put all the data together to say whether it’s a really effective measure,” says Duthé.
“What is clear is that the introduction of dehorning and a decline in illegal hunting has occurred at the same time,” she adds. “But dehorning has been accompanied by other conservation measures that may be more effective.”
“It’s incredibly complicated,” says Lucy Chimes, a member of the Bristol team. “There are so many other factors involved. You have to consider what other security measures are being carried out — fencing, patrols, staff numbers — and poverty levels surrounding parks, their nearness to national borders and whether there is community engagement.” Chimes is currently planning a project that aims to separate these and other factors. In the meantime, Duthé believes that dehorning is a worthwhile tool of last course of action. “A rhino that is behaving a little bit strangely is better than a dead rhino.”
1. What is the purpose of removing the horns of black rhinos?| A．To make them less sociable. | B．To protect them from being hunted. |
| C．To reduce their home ranges. | D．To affect their reproductive success. |
| A．The removal of rhino horns. | B．The loss of rhino territories. |
| C．The impact on rhino population. | D．The change of rhino behavior. |
| A．Supportive. | B．Opposed. | C．Unconcerned. | D．Uncertain. |
| A．Dehorning rhinos shows satisfying effects. |
| B．Various factors lead to the decline in illegal hunting. |
| C．Dehorning is the last action researchers will take. |
| D．Rhinos are supposed to behave a little bit strangely. |
2 . It was snowing hard. Gus Kiebel, a county wildlife officer, was driving home from work when he
Gus parked his truck and
Obviously, these beagles were
In the following days, Gus phoned the shelter
| A．spotted | B．recorded | C．assisted | D．gathered |
| A．instructor | B．companion | C．stranger | D．officer |
| A．immediately | B．frequently | C．unwillingly | D．curiously |
| A．comfort | B．fire | C．blanket | D．shelter |
| A．protected | B．approached | C．awakened | D．embraced |
| A．starve | B．interact | C．expect | D．escape |
| A．refreshed | B．concerned | C．defensive | D．accessible |
| A．abandoned | B．discovered | C．reconnected | D．released |
| A．miracle | B．surprise | C．dream | D．pressure |
| A．declined | B．reported | C．approved | D．contacted |
| A．hand | B．basis | C．condition | D．level |
| A．prevent | B．separate | C．impress | D．adopt |
| A．gradually | B．traditionally | C．repeatedly | D．confidently |
| A．influences | B．possesses | C．guarantees | D．conveys |
| A．passion | B．cruelty | C．respect | D．tiredness |
3 . Established earthquake warning systems provide at best just a minute or two of notice, leaving little time for preparedness. Decades of searching for a better warning sign-changes in the geochemistry of groundwater, electromagnetic effects in the upper atmosphere, and even changes in animal behavior-have failed. Many question whether such a precursor (先兆) even exists. This situation may change soon, as recent research is providing a glimmer of hope for improved earthquake prediction.
Researchers Quentin Bletery and Jean-Mathieu Nocquet from Cote d’Azur University in France collected data from over 90 earthquakes with magnitudes larger than 7 that had occurred in the past two decades.They focused on GPS station records near these quakes, which accurately captured land movement every 5 minutes with millimeter precision. They analyzed more than 3,000 time series of motion in the 48 hours leading up to the main ruptures (断裂).
They noticed that, in the first 46 hours, the records showed no significant features. However, during the 2 hours before the earthquake, they noticed signs of increasing movement along the fault zones (断层带). Essentially, there’s a slip between plates causing the land above them to move in a measurable, horizontal direction.
Could this be just a coincidence? The probability of this increase happening just before the quake and being unrelated is extremely low, and the researchers confirmed this by analyzing 100,000 random time windows in non-earthquake GPS data. The pattern occurred only 0.03% of the time in non-earthquake data.
While this precursor signal won’t be used for warnings anytime soon, officials from the United States Geological Survey (USGS) admit that this new study provides valuable insights into how to improve their warning systems-GPS data can grease the wheels of early earthquake warnings.
The researchers admit they're still a number of steps away from putting this precursor signal into use, particularly since detecting subtle signals at individual faults requires more GPS stations. But the biggest problem is that many of the world’s earthquake regions have no instrumentation. “We can’t realize the detection at the scale of one earthquake, so we cannot make predictions,” Bletery said.
1. What remains a tough problem for scientists?| A．Determining the magnitude of an earthquake. |
| B．Finding a way to detect earthquakes in early stages. |
| C．Measuring atmospheric changes during earthquakes. |
| D．Identifying animals’ possible responses to earthquakes. |
| A．The chance of main ruptures occurring in fault zones. |
| B．The accuracy of GPS in recording land movement. |
| C．The existence of a two-hour precursory phase. |
| D．The horizontal slip within the first 46 hours. |
| A．Distinguish | B．Contradict | C．Overmatch | D．Facilitate |
| A．The inaccessibility of precursor signals. |
| B．The complexity of updating GPS equipment. |
| C．The challenge of identifying earthquake regions. |
| D．The inconsistent slip patterns of different earthquakes. |
1. What will the weather be like later today?
| A．Rainy. | B．Cloudy. | C．Windy. |
| A．10°C. | B．18°C. | C．28°C. |
| A．Take an umbrella. | B．Follow the forecast. | C．Put on more clothes. |
5 . Every tree tells a story. They hold our memories, represent belief, and witness countless moments of joy and sorrow. In our imagination, there is always a place for a tree.
For the locals in Naunde, Mozambique, a mango tree provides more than just shade from the Saharan sun. It is also a traditional setting for storytelling, ceremonies, and regulating village life. “It is a place to meet and talk, to seek agreement and settle arguments, to bridge differences and develop unity,” wrote Kofi Annan, the former Secretary-General of the UN. “If you have a problem and can’t find a solution, you meet again tomorrow under the tree and you keep talking.”
The mango tree always stands there, witnessing and remembering everything, and at the same time becomes an inseparable part of the collective memory of the locals. “Each growth layer that trees add every year contains a bit of the air from that year. The trees absorb carbon dioxide from the air through tiny pores (气孔) , which helps build their tissues, so they physically hold the record of the years of their surroundings,” said Benjamin Swett, author of New York City of Trees. In this way, trees also serve as nature’s memory stick, keeping a record of a history as long as themselves.
The English language borrows a lot from trees: We turn over a new leaf and branch out, meaning we move on from the past and start something new. And there are times when we can’t see the wood for the trees. We tend to enjoy the flourishing leaves, branches, and roots of the trees. However, we pay little attention to the forests that embrace trees. The same things often happen to us in our own lives. We often dip ourselves into some bad experiences in life. As a result, we may give up at a terrible moment instead of imagining satisfying success after defeating the failure.
Trees inspire mankind, not just through language, but through ideas. Perhaps the most famous is a tree in a garden in Lincolnshire, England, where an apple fell and inspired young Isaac Newton to wonder: Why would that apple always fall directly to the ground? According to an 18th-century account, Newton was home from Cambridge when he stepped into the garden and into a reverie (沉思) . There, the idea of gravitation came into his mind, inspired by an apple.
1. What is the role of a mango tree in Naunde?| A．A spot to bind the locals together. | B．A witness to the changing weather. |
| C．A generous food supplier on Earth. | D．A shelter to protect villagers in disasters. |
| A．By changing the width of their growth layer. |
| B．By sticking out branches in different directions. |
| C．By absorbing carbon dioxide to build their tissues. |
| D．By reflecting changing climate conditions with their tiny pores. |
| A．Suggestions on facing failure. | B．Famous English stories about trees. |
| C．The relationship between trees and forests. | D．Lessons from English expressions related to trees. |
| A．To explain the necessity of observation. | B．To show how gravitation was discovered. |
| C．To stress the importance of trees in inspiring ideas. | D．To introduce how trees serve as a mirror of history. |
More than 20 hours earlier, my friend Emma and I had stood at the entrance to the cave. We laughed and joked as I climbed down the steep mouth and she followed. Six of us had gone on that camping trip, but after a full day of exploring caves, the others had gone back to the campsite to eat. Emma and I decided to explore one more cave.
The mud of the cave floor was soft and sticky as we snaked our way through the tunnel. The air was damp and heavy. As the passage twisted through the earth, it became smaller. Then, suddenly, after a tight squeeze, I came into a larger room.
“Once you make it past this narrow spot you can almost stand,” I told Emma, as I stretched out my arms and legs and enjoyed the big space. “Alright, I’m almost th...” Emma’s sentence was cut short. I turned around. “Are you alright?” I asked. All I could see was her face, and her eyes were full of fear. “I don’t think so,” she said. “I’m stuck.”
Emma and I tried everything we could to free her. But it became apparent that we needed help. I took out my cell phone to call my other four friends, but there was no signal. I couldn’t go to seek help because Emma was stuck between me and the cave mouth. That was why we were so relieved when we heard voices behind us. A beam of light shot down the tunnel.
“What’s going on here?” rang a young man’s voice. “We need help,” I shouted. “She’s stuck.” “I’ve got two buddies with me,” he said. “They can go to find a park ranger (公园管理员), but I’ll stay here and see if I can help from this side.”
注意：1.续写词数应为150左右；
2.请按如下格式作答。
The next several hours were long and arduous (艰难的).
________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________Almost five hours after we had entered the cave, the rescue team arrived.
________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________7 . No FIFA World Cup would be complete without “psychic(通灵的)” animals predicting the winners, and Qatar 2022 was the same. A range of animals—big and small—have tried to predict the scoreline.
It all started with Paul, the ”psychic“ octopus(章鱼). He put TV experts to shame with an unbelievable group of correct World Cup winner predictions at the Aquarium Sea Life Center in Oberhausen, Germany. He correctly predicted eight World Cup matches at South Africa’s tournament in 2010, including Spain beating the Netherlands in the World Cup final.
Paul’s successor, Rubio the octopus, did not end well. It became a star in Japan for its 100%success in predicting group-stage matches, including Japan’s win against Colombia in the 2018 World Cup held in Russia. Rubio did not get the chance to make its prediction for the Round-of-16 after it was cut into pieces and turned into seafood.
Taiyo the otter had good news for Japanese fans at the 2022 World cup in Qatar, correctly predicting Japan’s group-stage win over Germany. From his home at the Maxell Aqua Park Shinagawa in Japan, Taiyo was given three buckets(桶)to choose from—Japan(blue), draw (yellow)and Germany(red)—and did not hesitate about picking up his tiny football and placing his bet on Japan. He was widely praised online for his action.
And let’s not forget another star—Marcus, the “mystic pig”. In the 2018 World Cup, Marcus predicted a World Cup victory for England after selecting apples with the England flag on British morning television. However, Marcus’ fortune-telling record was shattered when England was knocked out in the semi-final.
Nelly the elephant from Serengeti Park in Hodenhagen, Germany, also meant business when she had a group of 30 out of 33 matches correct predictions in the 2006 World Cup, the 2010 World Cup and the 2012 Euro.
Camilla the ”mystic“ camel from Melton Mowbray in England did have good news for England, however. She correctly predicted the Three Lions’ group-stage win over Iran at the Qatar World Cup. Her owners said that their camel was ”never wrong“.
1. What can we learn about Rubio?| A．It ended up being eaten. | B．It missed the 2018 World Cup. |
| C．It performed much better than Paul. | D．It became famous after the Round-of-16. |
| A．It knew Japanese players well. | B．It could recognize many colors. |
| C．It was quick at decision-making. | D．It was good at catching a football. |
| A．Updated. | B．Shared. | C．Removed. | D．Broken. |
| A．He doesn’t give his opinion. | B．He is doubtful about them. |
| C．He thinks them interesting. | D．He is supportive to them. |
8 . Kabita Lohar lives in Pipriya village, a community located at the banks of the Mahakali River in Nepal. She is usually seen walking along the riverbank, carrying a blue box which contains equipment and chemicals to test the quality of water in the river. As Kabita carefully collects water samples (样本) from the river into her test-tube and observe the color of the water, she says, “Our rivers are getting polluted; we need to raise awareness and encourage the community to save our rivers.”
Kabita is one of the many citizen scientists trained by Oxfam. Around five years ago, Oxfam started working with the communities living in the riverbanks of the Mahakali River through a project called Transboundary Rivers of South Asia (TROSA). The project aims to give the riverside communities more access to and control over water resources. “We use this data to encourage effective measures and raise awareness about water pollution among the community members and local government,” says Kabita.
People used to believe that the water in at the Mahakali River contains something that is good for health, so it was a common practice to drink water directly from the river. But with the data on water pollution provided by citizen scientists like Kabita, they could raise awareness of the importance of not drinking water directly from the river.
Kabita says, “A few months ago, we spoke with our mayor (市长) about introducing measures to prevent the inflow of waste made by families and hotels into the river. Our mayor has stated that he will meet our demands. But we don’t just want promises; we want action, and we will keep following up until the promise becomes a reality.”
1. Why does Kabita walk along the bank?| A．To clean the riverbanks. | B．To collect experimental data. |
| C．To enjoy nature for relaxation. | D．To collect water from family use. |
| A．By showing them the truth. |
| B．By finding clean water for them. |
| C．By encouraging effective measures. |
| D．By stopping pouring waste into the river. |
| A．Energetic. | B．Confident. | C．Organized. | D．Determined. |
| A．Water pollution is serious in Nepal. |
| B．Science is helpful in reducing pollution. |
| C．A citizen scientist fights water pollution. |
| D．A youth makes a difference to her village. |
9 . The world is a vast and beautiful place, full of natural wonders and man-made marvels. From the ancient ruins of Rome to the Great Wall of China, there are countless places that make us proud of our ancestors.
Heritage is our legacy. It is what we pass down to our children and grandchildren. Heritage helps us to understand the past. It can teach us about our ancestors and their culture. Heritage can inspire us.
We can all do our part to help preserve these sites. Learn more about the sites that are on the List of World Heritage in Danger.
Together, we can make a difference.
| A．It can give us hope for the future. |
| B．Choose sustainable lifestyles every day. |
| C．Future generations can be more responsible. |
| D．Unfortunately, many of them are under threat. |
| E．Let’s work together to preserve these incredible sites. |
| F．The more you know, the better you do in the preservation. |
| G．But these places are not just important for our own enjoyment. |
10 . How can a large city find water for 10 million people if it is in the desert? Fog-catching nets on hills around the city of Lima, the capital of Peru, could solve the city’s water shortages for good. A twenty-meter high net tower will soon be displayed in the city as a solution to the problem.
Peru’s capital city has just one inch of rain a year. The city sees high annual temperatures and water consumption rates. Located in a desert, the city’s temperatures are higher than world averages. However, a unique feature of Lima’s weather offers a way of meeting some of this demand. Located on the coast, Lima’s surrounding hills are constantly bathed in waves of fog coming off the Pacific Ocean, and the moisture (湿气) taken in by plants ensures they stay green year-round.
Inspired by fog nets placed by rural communities across the continent, Alberto Fernandez, a Chilean architect currently studying for a Ph.D. from University College London, has designed a series of towers and fog-catching nets. They can collect as much as 1,000 liters of water per day, amounting to 3.6 million liters per year, if enough are put into use. Their towering structure allows them to get into the clouds, collecting more vital water vapor (蒸气), and their unique shape means that no matter the direction of the wind, the moisture-rich fog will strike some part of the structure directly.
The water will largely be used for agriculture — as the water would require filtering (过滤) before consumption — helping free up resources for city residents. Cheaper than filtering water from the Rimac River, these towers and nets, which Fernandez says could be built up to 200 meters high, are part of a series of designs for the Lima 2035 project. It aims to change current desertification and create a new place for sustainable and human-centered food systems that promote healthy diets and improve incomes in the driest city on Earth.
1. What makes plants in Lima stay green year-round?| A．The heavy rainfall. | B．The high temperature. |
| C．The net tower. | D．The unique location. |
| A．The direction of the wind. | B．The moisture-rich fog. |
| C．The height of the tower. | D．The fog-catching net. |
| A．Supply drinking water. | B．Turn desert into rich soil. |
| C．Increase food production. | D．Develop healthy lifestyles. |
| A．Fog-catching towers help solve water shortage |
| B．The driest city on Earth faces a serious problem |
| C．Fernandez designed the first fog-catching net |
| D．Water plays a role in a sustainable food system |
