Pupils can learn more effectively through stories than activities

 Storytelling -- the oldest form of teaching -- is the most effective way of teaching primary school children about evolution, say researchers at the Milner Centre for Evolution at the University of Bath.

A randomised controlled trial found that children learn about evolution more effectively when engaged through stories read by the teacher, than through doing tasks to demonstrate the same concept.

The scientists investigated several different methods of teaching evolution in primary schools, to test whether a pupil-centred approach (where pupils took part in an activity) or a teacher-centred approach (where pupils were read a story by the teacher), led to a greater improvement in understanding of the topic.

They also looked at whether using human-based examples of evolution (comparing arm bones in humans with those in animals), or more abstract examples that were harder to emotionally engage with (comparing the patterns of trilobites), produced better results in terms of the children's understanding of evolution.

Whilst all the methods improved the pupils' understanding of evolution, the study, published in the journal Science of Learning, found that the story-based approach combined with the abstract examples of evolution were the most effective lessons.

This goes against educational orthodoxy that states that a pupil-centred approach to learning, using human-based examples with which children can easily identify, should yield the best results.

The study recruited 2500 primary school students who were tested for understanding of evolutionary concepts before and after the lessons.

Professor Laurence Hurst, Director of the Milner Centre for Evolution at the University of Bath, led the study.

He said: "We were really surprised by the results -- we expected that pupils would be more engaged with an activity rather than listening to a story, and that children would identify more strongly with the human-based examples of evolution than the somewhat abstract example of trilobites, but in fact the opposite was true.

"This is the first large randomised controlled trial that is evaluating the effectiveness of different methods of teaching, using similar scientific methods to those used in drug interaction trials to test whether a new treatment works.

"Our results show that we should be careful about our preconceptions of what works best.

"We only tested the teaching of evolution in this way -- it would be interesting to see if these findings also applied to other subjects of the curriculum."

Professor Momna Hejmadi, Associate Dean of the University's Faculty of Science, helped to design the study and co-authored the paper. She said: "Evolution was introduced to the national curriculum for primary schools in 2014.

"It's a really important subject as it forms the foundation for many parts of biology. However, many primary school teachers, if they don't have a science background, are less confident about teaching it.

"At the Milner Centre for Evolution, we've developed a range of free lesson plans using really cheap teaching materials, as well as a free online course for teachers to help them engage their pupils with this important subject.

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Beavers may help amphibians threatened by climate change

 The recovery of beavers may have beneficial consequences for amphibians because beaver dams can create the unique habitats that amphibians need.

That finding was reported by four WSU Vancouver scientists in a paper published in the journal Freshwater Biology. The research took place in the Gifford Pinchot National Forest of the Cascade Range, where the researchers identified 49 study sites either with or without beaver dams. The researchers found the beaver-dammed sites were 2.7 times higher in amphibian species richness than the undammed sites.

Certain types of amphibians, particularly those that develop more slowly, such as red-legged frogs and northwestern salamanders, were detected almost exclusively in dammed sites.

"Beaver-dammed wetlands support more of the amphibian species that need a long time to develop in water as larvae before they are able to live on land as adults," said Jonah Piovia-Scott, assistant professor in the School of Biological Sciences and one of the authors of the article.

Beavers, once abundant in the Pacific Northwest, were hunted nearly to extinction in the 19th century. But, in an effort to improve wildlife habitat and mitigate the effects of climate extremes, some land managers are relocating beavers into places they occupied in the past, and beavers' numbers are slowly recovering, which is also benefiting amphibians, according to the study.

Red-legged frogs and northwestern salamanders are also the species most threatened by climate change, which is projected to bring drier summer conditions to streams and wetlands in the Cascade Range. By expanding existing ponds and increasing the time before they dry up, beaver dams are allowing such species more time to reproduce and develop.

"Beavers may be a key component of ecological resilience to climate change in these ecosystems," Piovia-Scott said.

In addition to Piovia-Scott, the authors of the study are Kevan Moffett, assistant professor in the School of the Environment; John Romansic, former postdoctoral scholar in the School of Biological Sciences; and Nicolette Nelson, former graduate student in the School of Biological Sciences.

From Science Daily

How do we separate the factual from the possible? New research shows how our brain responds to both

 Our brains respond to language expressing facts differently than they do to words conveying possibility, a team of neuroscientists has found. Its work offers new insights into the impact word choice has on how we make distinctions between what's real vs. what's merely possible.

"At a time of voluminous fake news and disinformation, it is more important than ever to separate the factual from the possible or merely speculative in how we communicate," explains Liina Pylkkanen, a professor in NYU's Department of Linguistics and Department of Psychology and the senior author of the paper, which appears in the journal eNeuro.

"Our study makes clear that information presented as fact evokes special responses in our brains, distinct from when we process the same content with clear markers of uncertainty, like 'may' or 'might'," adds Pylkkanen, also part of the NYU Abu Dhabi Institute.

"Language is a powerful device to effectively transmit information, and the way in which information is presented has direct consequences for how our brains process it," adds Maxime Tulling, a doctoral candidate in NYU's Department of Linguistics and the paper's lead author. "Our brains seem to be particularly sensitive to information that is presented as fact, underlining the power of factual language."

Researchers have long understood that the brain responds in a variety of ways to word choice. Less clear, however, are the distinctions it makes in processing language expressing fact compared to that expressing possibility. In the eNeuro study, the scientists' primary goal was to uncover how the brain computes possibilities as conveyed by so-called "modal" words such as "may" or "might" -- as in, "There is a monster under my bed" as opposed to, "There might be a monster under my bed."

To explore this, the researchers used formal semantic theories in linguistics to design multiple experiments in which subjects heard a series of sentences and scenarios expressed as both fact and possibility -- for example, "Knights carry large swords, so the squires do too" (factual) and "If knights carry large swords, the squires do too" (possible).

In order to measure the study subjects' brain activity during these experiments, the researchers deployed magnetoencephalography (MEG), a technique that maps neural activity by recording magnetic fields generated by the electrical currents produced by our brain.

The results showed that factual language led to a rapid increase in neural activity, with the brain responding more powerfully and showing more engagement with fact-based phrases and scenarios compared to those communicating possibility.

"Facts rule when it comes to the brain," observes Pylkkanen. "Brain regions involved in processing discourse rapidly differentiated facts from possibilities, responding much more robustly to factual statements than to non-factual ones. These findings suggest that the human brain has a powerful, perspective-adjusted neural representation of factual information and, interestingly, much weaker, more elusive cortical signals reflecting the computation of mere possibilities."

Read more at Science Daily

Supercomputer simulations could unlock mystery of Moon's formation

 Astronomers have taken a step towards understanding how the Moon might have formed out of a giant collision between the early Earth and another massive object 4.5 billion years ago.

Scientists led by Durham University, UK, ran supercomputer simulations on the DiRAC High-Performance Computing facility to send a Mars-sized planet -- called Theia -- crashing into the early Earth.

Their simulations produced an orbiting body that could potentially evolve into a Moon-like object.

While the researchers are careful to say that this is not definitive proof of the Moon's origin, they add that it could be a promising stage in understanding how our nearest neighbour might have formed.

The findings are published in the journal Monthly Notices of the Royal Astronomical Society.

The Moon is thought to have formed in a collision between the early Earth and Theia, which scientists believe might have been an ancient planet in our solar system, about the size of Mars.

Researchers ran simulations to track material from the early Earth and Theia for four days after their collision, then ran other simulations after spinning Theia like a pool ball.

The simulated collision with the early Earth produced different results depending upon the size and direction of Theia's initial spin.

At one extreme the collision merged the two objects together while at the other there was a grazing hit-and-run impact.

Importantly, the simulation where no spin was added to Theia produced a self-gravitating clump of material with a mass of about 80 per cent of the Moon, while another Moon-like object was created when a small amount of spin was added.

The resulting clump, which settles into an orbit around the post-impact Earth, would grow by sweeping up the disc of debris surrounding our planet.

The simulated clump also has a small iron core, similar to that of the Moon, with an outer layer of materials made up from the early Earth and Theia.

Recent analysis of oxygen isotope ratios in the lunar samples collected by the Apollo space missions suggests that a mixture of early Earth and impactor material might have formed the Moon.

Lead author Sergio Ruiz-Bonilla, a PhD researcher in Durham University's Institute for Computational Cosmology, said: "By adding different amounts of spin to Theia in simulations, or by having no spin at all, it gives you a whole range of different outcomes for what might have happened when the early Earth was hit by a massive object all those billions of years ago.

"It's exciting that some of our simulations produced this orbiting clump of material that is relatively not much smaller than the Moon, with a disc of additional material around the post-impact Earth that would help the clump grow in mass over time.

"I wouldn't say that this is the Moon, but it's certainly a very interesting place to continue looking."

The Durham-led research team now plan to run further simulations altering the mass, speed and spinning rate of both the target and impactor to see what effect this has on the formation of a potential Moon.

Co-author Dr Vincent Eke, of Durham University's Institute for Computational Cosmology, said: "We get a number of different outcomes depending upon whether or not we introduce spin to Theia before it crashes into the early Earth.

"It's particularly fascinating that when no spin or very little spin is added to Theia that the impact with the early Earth leaves a trail of debris behind, which in some cases includes a body large enough to deserve being called a proto-Moon.

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California's 2018 wildfires caused $150 billion in damages

 In 2018, California wildfires caused economic losses of nearly $150 billion, or about 0.7 percent of the gross domestic product of the entire United States that year, and a considerable fraction of those costs affected people far from the fires and even outside of the Golden State.

For a study to be published Monday, Dec. 7, in Nature Sustainability, researchers at the University of California, Irvine, China's Tsinghua University and other institutions combined physical, epidemiological and economic models to gain a more comprehensive understanding of the impact of the blazes. More than 8,500 separate fires burned 1.9 million acres, making them the deadliest and most destructive in any year in California history.

Tallying the damage, the team found that direct capital impact (burned buildings and homes) accounted for $27.7 billion, 19 percent of the total; $32.2 billion, 22 percent of the whole, came from health effects of air pollution; and $88.6 billion in losses, 59 percent, was indirectly caused by the disruption of economic supply chains, including impediments to transportation and labor.

"When insurance companies, policy makers and even the media assess damage from California's wildfires, they focus on loss of life and direct destruction of physical infrastructure, which, while important, are not the whole picture," said co-author Steve Davis, UCI professor of Earth system science. "We tried to take a more holistic approach for this project by including a number of other factors such as the ill effects on the health of people living far away and the disruption of supply chains."

Climate change, land and fire management, population and economic growth, and increasing community encroachment in the wildland-urban interface have combined to increase the frequency and severity of wildfires in the Western United States over the past few decades, culminating in enormously damaging blazes in 2017, 2018 and 2020.

As the fires burned, satellite images showed trails of smoke spanning large areas of California, causing hazardous breathing conditions for residents of communities hundreds of miles from the burning fires.

Power transmission was affected by the fires, as was freight transport by rail and trucks, pipeline operations and many other business and infrastructure-dependent activities. The study showed that the majority of economic impacts were felt by industries and locations also far from the actual fires, and that nearly one-third of the total losses were outside of California.

"The broader impacts of these climate-driven wildfires are not only bigger than prior studies have estimated, but also more widely dispersed -- including sizable impacts outside of the state," lead author Dabo Guan, a Tsinghua University professor of Earth system science who is also a University College London researcher.

Davis said he hopes the study can help policy makers and fire managers make more sound decisions in the future about land and forest management, development patterns and fire suppression efforts. For example, the larger estimated costs may justify larger and different allocations of resources to fire prevention and suppression.

In particular, the authors suggest that disaster response teams may wish to focus "fire prevention efforts on areas typically upwind of major population centers or near important industrial or transportation infrastructure."

Read more at Science Daily

Key building block for organic molecules discovered in meteorites

 Scientists from Japan and the USA have confirmed the presence in meteorites of a key organic molecule which may have been used to build other organic molecules, including some used by life. The discovery validates theories of the formation of organic compounds in extraterrestrial environments.

The chemistry of life runs on organic compounds, molecules containing carbon and hydrogen, which also may include oxygen, nitrogen and other elements. While commonly associated with life, organic molecules also can be created by non-biological processes and are not necessarily indicators of life. An enduring mystery regarding the origin of life is how biology could have arisen from non-biological chemical processes, called prebiotic chemistry. Organic molecules from meteorites are one of the sources of organic compounds that lead to the formation of life on Earth.

Associate Professor Yasuhiro Oba from Hokkaido University led a team of researchers who discovered the presence of a prebiotic organic molecule called hexamethylenetetramine (HMT) in three different carbon-rich meteorites. Their discovery, published in the journal Nature Communications, validates models and theories that propose HMT as a key molecule in the formation of organic compounds in interstellar environments.

By confirming the presence of HMT in meteorites for the first time, this work supports the hypothesis that the compound was present in asteroids, the parent bodies of many meteorites. Early in the solar system's history, many asteroids could have been heated by collisions or the decay of radioactive elements. If some asteroids were warm enough and had liquid water, HMT could have broken down to provide building blocks that in turn reacted to make other important biological molecules which have been found in meteorites, including amino acids. Some types of amino acids are used by life to make proteins, which are used to build structures like hair and nails, or to speed up and regulate chemical reactions.

While the diversity of organic compounds in meteorites is well-documented, many questions remain about the processes by which these compounds were formed. The most important meteorites in this area of research are carbonaceous chondrites, stony meteorites that contain high percentages of water and organic compounds. Experimental models have shown that a combination of water, ammonia and methanol, when subjected to photochemical and thermal conditions common in extraterrestrial environments, give rise to a number or organic compounds, the most common of which is HMT. Interstellar ice is rich in methanol. Hypothetically, HMT should be common in water-containing extraterrestrial materials, but, until this study, it had not been detected.

HMT is susceptible to degradation when exposed to processes commonly used in the analysis of organic compounds in meteorites. The scientists developed a method that specifically extracted HMT from meteorites with minimal degradation. This method allowed them to isolate significant quantities of HMT and HMT derivatives from the meteorites Murchison, Murray and Tagish Lake.

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Aluminium alloy research could benefit manned space missions

 The MIAMI-2 -- Microscopes and Ion Accelerators for Materials Investigations -- facility has helped Dr Matheus Tunes investigate a new alloy that will harden aluminium without increasing its weight significantly.

Spacecraft launched from Earth need to be light, but still have the right amount of fuel to see them achieve orbit. If too heavy, the amount of fuel required would be prohibitive. Once outside of the Earth's protective magnetic field, a vehicle may then be exposed to potentially destructive amounts of solar radiation, which becomes more important for any long duration mission such as to Mars.

Making spacecraft from aluminium is one solution, as aluminium is a light yet strong material. Alloys help aluminium become harder via precipitation strengthening, but the radiation encountered in space can dissolve the hardening precipitates with potentially disastrous and fatal consequences for astronauts.

But the research carried out at MIAMI-2 in partnership with Montanuniversitaet Leoben (MUL) in Austria has discovered that a particular hardening precipitate of a new aluminium alloy -- developed by a group of metallurgists led by Professor Stefan Pogatscher (MUL) -- does not dissolve when bombarded with particle radiation when compared with existing data on irradiation of conventional aluminium alloys.

The result is an alloy with a radiation resistant hardening phase called a T-phase, which has a complex crystal structure of Mg32(Zn,Al)49. The research led to a paper that has been published in the journal Advanced Science.

"The idea of the paper was testing these new alloys using the MIAMI facilities, because we can subject the alloy to energetic particle radiation and, at the same time, monitor the effect of this radiation on the alloy microstructure with a transmission electron microscope," says Matheus.

"We monitored the crystallographic signal of the T-phase as the radiation increased and observed that compared with other conventional aluminium alloys, the alloy we developed was radiation tolerant -- meaning that the hardening phase does not dissolve under high radiation doses.

"It sheds light on a very exciting new field of research we call 'prototypic space materials for stellar-radiation environments'. A nuclear reactor is also an extreme environment, as is the sun with solar cycles, but dynamic instabilities on the sun such as solar flares and coronal mass ejections are more extreme than anything on Earth. The sun is a very efficient nuclear fusion reactor and high-energy particle accelerator."

Dr Graeme Greaves, Senior Research Fellow at the MIAMI Facility, adds, "when Matt first came to us from Brazil as a postgraduate student he was always looking for new projects and created a number of new collaborations, and I'm very happy that as he is starting the next part of his career in Austria and expanding into new areas, he is continuing to collaborate with us here at the MIAMI facility, with this aluminium alloys project being just one example."

With manned missions to the moon and Mars currently being planned, the advantages of spacecraft that are light enough to launch and withstand radiation to protect their crews are clear. Next on the agenda for Matheus, Graeme and colleagues is to find out why the alloy behaves the way it does and what further benefits there could be.

"I am particularly proud that I finished my PhD in Huddersfield, I've now moved to Austria but still continue to work with Graeme," Matheus adds. "We have an active collaboration and 2021 will be a busy year for the joint Huddersfield-Leoben space materials research project."

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Grasping an object: Model describes complete movement planning in the brain

 Every day we effortlessly make countless grasping movements. We take a key in our hand, open the front door by operating the door handle, then pull it closed from the outside and lock it with the key. What is a natural matter for us is based on a complex interaction of our eyes, different regions of the brain and ultimately our muscles in the arm and hand. Neuroscientists at the German Primate Center (DPZ) -- Leibniz Institute for Primate Research in Göttingen have succeeded for the first time in developing a model that can seamlessly represent the entire planning of movement from seeing an object to grasping it. Comprehensive neural and motor data from grasping experiments with two rhesus monkeys provided decisive results for the development of the model, which is an artificial neural network that, by feeding it with images showing certain objects, is able to simulate processes and interactions in the brain for the processing of this information. The neuronal data from the artificial network model were able to explain the complex biological data from the animal experiments and thus prove the validity of the functional model. This could be used in the long term for the development of better neuroprostheses, for example, to bridge the damaged nerve connection between brain and extremities in paraplegia and thus restore the transmission of movement commands from the brain to arms and legs (PNAS).

Rhesus monkeys, like humans, have a highly developed nervous and visual system as well as dexterous hand motor control. For this reason, they are particularly well suited for research into grasping movements. From previous studies in rhesus monkeys it is known that the interaction of three brain areas is responsible for grasping a targeted object. Until now, however, there has been no detailed model at the neural level to represent the entire process from the processing of visual information to the control of arm and hand muscles for grasping that object.

In order to develop such a model, two male rhesus monkeys were trained to grasp 42 objects of different shapes and sizes, presented to them in random order. The monkeys wore a data glove that continuously recorded the movements of arm, hand and fingers. The experiment was performed by first briefly illuminating the object to be grasped while the monkeys looked at a red dot below the respective object and performed the grasping movement with a short delay after a blinking signal. These conditions provide information about the time at which the different brain areas are active in order to generate the grasping movement and the associated muscle activations based on the visual signals.

In the next step, images of the 42 objects, taken from the perspective of the monkeys, were fed into an artificial neural network in the computer, whose functionality was mimicking the biological processes in the brain. The network model consisted of three interconnected stages, corresponding to the three cortical brain areas of the monkeys, and provided meaningful insights into the dynamics of the brain networks. After appropriate training with the behavioral data of the monkeys, the network was able to precisely reflect the grasping movements of the rhesus monkeys. It was able to process images of recognizable objects and could reproduce the muscle dynamics required to grasp the objects accurately.

Read more at Science Daily

Gaia space telescope measured the acceleration of the Solar System

 The Gaia space telescope has measured the acceleration of the Solar System when it orbits the center of our Milky Way galaxy. The Solar System motion relative to the stars agrees with the results by Finnish astronomers in the 19th century.

Moreover, the observational data by Gaia improves satellite navigation. Finnish researchers are participating in this massive endeavor, that results in three-dimensional mapping of our galaxy, to be completed in 2024.

Today, Dec. 3, 2020, the European Space Agency (ESA) released observational data from the Gaia telescope (Gaia Early Data Release 3 or EDR3), in continuation to the DR1 and DR2 releases of the years 2016 and 2018. Gaia accrues accurate knowledge about, for example, the Milky Way stars, distant extragalactic quasars, and the asteroids of our Solar System.

Quasars are bright, star-like objects that allow for the determination of planet Earth's orientation in space. With the help of their precise positions measured by Gaia, a new high-precision reference system can be constructed for defining the positions of stars, Solar System objects, and also satellites.

"The knowledge accrued by Gaia affects the precision of satellite navigation in the future. The satellite positions and Earth orientation in space are determined in a reference frame tied to the directions of quasars. The precision and state of the art of the reference frame are critical for the precision in navigation," says Professor Markku Poutanen at the Finnish Geospatial Research Institute FGI, National Land Survey of Finland.

The precise observations of quasars resulted, for the first time, in a successful computation of the acceleration of the Solar System.

"The acceleration of the Solar System towards the center of the Milky Way, as measured by Gaia, is (2.32±0.16) x 10-10 m/s2 or, roughly, two one-hundred-billionth parts of the gravitational acceleration caused by the Earth on its surface, " summarizes Astronomy Professor Karri Muinonen at the Department of Physics, University of Helsinki, also Research Professor at the Finnish Geospatial Research Institute FGI.

Gaia in the research of asteroids

Gaia's data processing is carried out within the European DPAC network (Data Processing and Analysis Consortium) with more than 300 researchers. Solar System researchers at the University of Helsinki take part in the Gaia data processing in several different ways.

"We are responsible for the daily computation of orbits for asteroids discovered by Gaia. Based on these computations, ground-based follow-up observations are organized," describes Muinonen.

"Before data releases, we take part in the validation of Gaia observations of asteroid positions, brightnesses, and spectra. Our research with Gaia data focuses on asteroid orbits, rotation periods and pole orientations, masses, shapes, and surface structural and compositional properties. In the computation of collision probabilities for near-Earth asteroids, the precision of reference frames is completely central," continues Muinonen.

Asteroid observations by Gaia were published in DR2 in spring 2018 (14 099 asteroids). In the forthcoming DR3 release in spring 2022, there will be position and brightness data for tens of thousands of asteroids and, for the first time, asteroid spectra will also be released.

Years of work and billions of stars

The EDR3 data has been collected by Gaia from the end of July 2014. The data includes, for example, position and brightness data of 1,81 billion stars and color data of 1,55 billion stars from the time period of 34 months. Furthermore, the data more than triples the number of quasars observed for precise reference frames to 1,61 million.

EDR3 is a remarkable improvement, in terms of both numbers and precisions, as compared to the earlier releases. The newest release gives hints about the gigantic nature of the forthcoming DR3 release in spring 2022 and the final DR4 release after 2024.

Gaia observes astronomical objects systematically in the so-called L2 Lagrange point some 1,5 million kilometers from the Earth in the anti-sun direction. Gaia observes about two billion stars with a precision, at best, of one hundred millionths of a degree. The result will be a three-dimensional map of our galaxy.

Stellar motion in the future

Based on the Gaia data, researchers' have modeled the motion of stars in the Milky Way. They have produced an animation for the motion of 40 000 randomly selected stars on the sky 1.6 million years into the future.

"In the animation, short and long trails describe changes in stellar positions with 80 000 years. The former are mostly related to distant stars, whereas the latter are solely due to the nearby stars. Every now and then, short trails expand into long ones, and long trails shrink into short ones. This is also related to the changing distances of the stars," says Muinonen.

In the end of the animation, stars appear to be removed from the left and collected to the right. This is due to the Solar System's motion relative to the stars. A similar phenomenon can be seen when moving from a center of a forest islet to its boundary: the trees in the front gradually disappear whereas they seem to be collected in the back.

"This shows the average motion of the Solar System with respect to the surrounding stars. From the Finnish point of view, it is intriguing that the motion documented by Gaia agrees with the pioneering research about the Solar System's motion by Friedrich Wilhelm August Argelander (1799-1875) in the 19th century at the Helsinki Observatory," concludes Muinonen.

Argelander was the first astronomer, who unequivocally calculated the direction of Solar System motion in space. He worked at the Observatory, University of Helsinki, then the Imperial Alexander University. He had made the observations at the Turku Observatory in 1827-1831 before the observatory moved to Helsinki. In Helsinki, he compiled the stellar catalog entitled "DLX stellarum fixarum positiones mediae ineunte anno 1830" that, as the title says, included the precise positions of 560 stars.

Movement of quasars is actually the movement of Solar System

More accurately, the apparent stellar streams include the information about the motion of the stars and the Solar System about the center of the Milky Way. The Gaia quasar observations allow for the determination of the acceleration related to this orbital motion.

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Biological diversity evokes happiness

 Under the current pandemic conditions, activities out in nature are a popular pastime. The beneficial effects of a diverse nature on people's mental health have already been documented by studies on a smaller scale. Scientists of the Senckenberg Gesellschaft für Naturforschung, the iDiv, and the University of Kiel now examined for the first time whether a diverse nature also increases human well-being on a Europe- wide scale.

To this end, the researchers used the data from the "2012 European quality of Life Survey" to study the connection between the species diversity in their surroundings and the life satisfaction in more than 26,000 adults from 26 European countries. Species diversity was measured based on the diversity of avian species, as documented in the European breeding bird atlas.

"Europeans are particularly satisfied with their lives if their immediate surroundings host a high species diversity," explains the study's lead author, Joel Methorst, a doctoral researcher at the Senckenberg Biodiversity and Climate Research Centre, the iDiv, and the Goethe University in Frankfurt. "According to our findings, the happiest Europeans are those who can experience numerous different bird species in their daily life, or who live in near-natural surroundings that are home to many species."

Birds are well-suited as indicators of biological diversity, since they are among the most visible elements of the animate nature -- particularly in urban areas. Moreover, their song can often be heard even if the bird itself is not visible, and most birds are popular and people like to watch them. But there is also a second aspect that affects life satisfaction: the surroundings. A particularly high number of bird species can be found in areas with a high proportion of near-natural and diverse landscapes that hold numerous greenspaces and bodies of water.

"We also examined the socio-economic data of the people that were surveyed, and, much to our surprise, we found that avian diversity is as important for their life satisfaction as is their income," explains Prof. Dr. Katrin Böhning-Gaese, director of the Senckenberg Biodiversity and Climate Research Centre, professor at the Goethe University in Frankfurt am Main, and member of the iDiv. This result becomes particularly obvious when both values increase by ten percent. Fourteen additional bird species in the vicinity raise the level of life satisfaction at least as much as an extra 124 Euros per month in the household account, based on an average income of 1,237 Euro per month in Europe.

According to the study, a diverse nature therefore plays an important role for human well-being across Europe -- even beyond its material services. At the same time, the researchers draw attention to impending health-related problems. "The Global Assessment 2019 by the World Biodiversity Council IPBES and studies of avian species in agricultural landscapes in Europe clearly show that the biological diversity is currently undergoing a dramatic decline. This poses the risk that human well-being will also suffer from an impoverished nature. Nature conservation therefore not only ensures our material basis of life, but it also constitutes an investment in the well-being of us all," adds Methorst in conclusion.

From Science Daily