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New Publications Research

Island lizards are expert sunbathers, and it’s slowing their evolution

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By Brooke Bodensteiner | April 18, 2019

[/vc_column_text][/vc_column][/vc_row][vc_row][vc_column][vc_column_text]If you’ve ever spent some time in the Caribbean, you might have noticed that humans are not the only organisms soaking up the sun. Anoles – diminutive little tree lizards – spend much of their day shuttling in and out of shade. But, according to a new study in Evolution led by assistant professor Martha Muñoz at Virginia Tech and Jhan Salazar at Universidad Icesi, this behavioral “thermoregulation” isn’t just affecting their body temperature. Surprisingly, it’s also slowing their evolution.

The idea that evolution can be slow on islands is actually somewhat strange. Ever since Darwin’s journey to the Galapagos, islands have been recognized as hotspots of rapid evolution, resulting in many ecologically diverse species. The reason why evolution often goes into overdrive on islands has to do with the ecological opportunity presented by simplified environments. When organisms wash up on remote islands, they find themselves freed of their usual competitors and predators, which frees them to rapidly diversify to fill new niches. This phenomenon of faster evolution is often referred to as the “island effect.”

Yet, the researchers discovered that physiological evolution in Anolis lizards is actually much slower on islands than on the mainland. What is causing evolution to stall?

The same ecological opportunity that frees island organisms from predators also facilitates behavioral thermoregulation. “Whereas mainland lizards spend most of their time hiding from predators, island lizards move around more, and are able to spend much of their day precisely shuttling between sun and shade,” said Muñoz, assistant professor in the Department of Biological Sciences in the College of Science.[/vc_column_text][vc_single_image image=”29648″ img_size=”full” add_caption=”yes”][/vc_column][/vc_row][vc_row][vc_column][vc_column_text]If it gets too hot, island lizards simply go find a shady spot. If it gets too cold, they can dash onto a sunny perch. By thermoregulating, island lizards are not just buffering themselves from thermal variation. They are effectively shielding themselves from natural selection. If lizards aren’t exposed to extreme temperatures, then selection on physiology is weakened. The result? Slower rates of physiological evolution. Effectively, island lizards use behavioral thermoregulation like SPF against natural selection!

Jhan Salazar said, “Our results show that faster evolution on islands is not a general rule.”  This slower physiological evolution on islands stands in stark contrast to morphology, which has been shown to evolve faster in island anoles. When it comes to morphology and physiology on islands, it seems we are looking at different sides of the same coin. The same ecological release from predators and competition that allowed for the truly impressive amount of morphological diversification that has appeared quickly among island anoles, seems to additionally allow for more behavioral thermoregulation which slows physiological evolution.

“We are discovering that organisms are the architects of their own selective environments,” said Muñoz, “meaning that behavior and evolution are locked together in a delicate dance. This pas de deux tells us something important about how diversity arises in nature.”[/vc_column_text][/vc_column][/vc_row][vc_row][vc_column][vc_separator][/vc_column][/vc_row]

Categories
Climate Change Global Change Ideas New Publications News

Ancient ‘Snowball Earth’ thawed out in a flash

[vc_row][vc_column][vc_column_text]From Sciencemag.org

BY LUCAS JOEL | April 2, 2019

More than half a billion years ago, our planet was a giant snowball hurtling through space. Glaciers blanketed the globe all the way to the equator in one of the mysterious “Snowball Earth” events geologists think occurred at least twice in Earth’s ancient past. Now, scientists have found that the final snowball episode likely ended in a flash about 635 million years ago—a geologically fast event that may have implications for today’s human-driven global warming.

The ice, which built up over several thousand years, “melted in no more than 1 million years,” says Shuhai Xiao, a paleobiologist at Virginia Polytechnic Institute and State University in Blacksburg who was part of the team that made the discovery. That’s the blink of an eye in our planet’s 4.56-billion-year history, suggesting the globe reached a sudden tipping point, Xiao says. Although the  team doesn’t know for certain what caused it, carbon dioxide emitted by ancient volcanoes may have triggered a greenhouse event, causing the ice sheets to thaw rapidly.

To shine light on the pace of deglaciation, Xiao and colleagues dated volcanic rocks from southern China’s Yunnan province. These were embedded below another kind of rock called a cap carbonate—unique deposits of limestone and dolostone that formed during Snowball Earth’s shutdown in response to high levels of carbon dioxide in the atmosphere. Using radiometric dating techniques, the team found the volcanic rocks were 634.6 million years old, give or take about 880,000 years. Alone, this single new date couldn’t reveal the speed at which the melting happened. But in 2005, a different team of scientists dated volcanic rocks from above a similar cap at a different location—in China’s Guizhou province. They were dated to 635.2 million years, give or take 570,000 years.

Together, the two samples suggest the melting event was a quick thaw of about 1 million years, Xiao and his colleagues wrote last month in Geology. The key, Xiao explains, is that these two dates are far more precise than those of past samples, with error bars of less than 1 million years. Those error bars essentially bracket the period in which the cap carbonates formed—and, thus, bound the period of the final Snowball Earth thawing event. Because previously discovered samples have error bars of several million years or more, Xiao says these new dates are the first that can be used to calculate the pace of melting with any certainty.

However, because the two new samples come from southern China, they don’t paint a global picture of the ancient thaw, says Carol Dehler, a geologist at Utah State University in Logan. To do that, scientists would need to find datable volcanic rocks from other parts of the world, which are about “as common as unicorns,” she jokes. But, she adds, they might be out there “waiting to be discovered.”

Meanwhile, understanding the nature of these ancient glaciations could help scientists dealing with climate change today: “I think one of the biggest messages that Snowball Earth can send humanity,” Dehler says, “is that it shows the Earth’s capabilities to change in extreme ways on short and longer time scales.”

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Categories
Conservation Ideas New Publications Research

Researchers use high-powered computer simulations to study reintroduction of bull trout

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From VT News

March 27, 2019

A multi-institutional team of researchers, led by Meryl Mims, has assessed how environmental, demographic, and genetic factors play a role in the reintroduction of bull trout in Washington State.

Their project is one of the first to use an advanced computer model to simulate the genetic and demographic outcomes of the reintroduction by projecting 200 years into the future.

“This is a study that was really driven by a policy need to understand how management actions might influence a species in the future and what the range of outcomes would look like,” said Mims, an assistant professor in the Department of Biological Sciences in the College of Science. “This was a unique opportunity to use computer simulations to understand how a species – in this case, bull trout – may respond to changes in its habitat.”

Their collaborative work was published in Ecosphere in February and has been five years in the making.

The reintroduction of species can be expensive and resource-intensive, and is not always successful, either. Due to declining or extirpated populations, in part because of habitat fragmentation, the bull trout, Salvelinus confluentus, was listed as threatened under the Endangered Species Act in 1999. The species’ natural range extends from the Pacific Northwest to western Canada.

Mims and her team developed a framework to evaluate the reintroduction of aquatic species, focusing their efforts on the spatial, demographic, and genetic factors of reintroducing the bull trout to three watersheds of the Pend Oreille River system in northeastern Washington State.

“It was extremely encouraging for me to be part of this collaboration where stakeholders, scientists, and managers were willing to share data and really support this effort, which was driven by everyone wanting the best available science,” said Mims, an affiliated faculty member of the Global Change Center, housed within the Fralin Life Science Institute.

There are five hydroelectric dams on the Pend Oreille River between the U.S. and Canada. Downstream of the study system, the 340-foot Boundary Dam generates approximately 46 percent of the power produced by Seattle City Light. However, the dams can create major disturbances as aquatic species are unable to make their way upstream and past dams. For many species, movement is critical to their life history.

Bull trout persist in metapopulations – groups of the same species separated by space. Movement of individuals between populations is critical to the persistence of metapopulations. Local extinction can occur in an area due to a multitude of reasons, but the recolonization of unoccupied patches is important for the persistence of the species. Dams and culverts threaten the ecosystem’s connectivity by isolating populations and reducing the likelihood of recolonizations.

Dam on river
The Mill Pond Dam in 2014. Photo courtesy of Meryl Mims.

Erin Landguth, a computer scientist at the University Montana studying how wildlife populations interact with the landscape, created CDMetaPOP to understand the complexities of how species such as bull trout interact with their landscapes. The team used a wide variety of parameters, including demographic information, vital rates, a map of the landscape, empirical genetic data, and movement data to project bull trout populations 200 years into the future.

“One of the powerful things with a simulation like this is that, for many reasons, we often cannot do empirical studies where we are able to validate the studies on the ground,” Mims said. “We’re interested not only in how things are responding in the next decade or two, but also in the probability of long-term persistence.”

The simulation gave insight as to what needs to be done for a successful reintroduction of bull trout. The researchers asked: If a reintroduction were to take place, is there a difference in repopulating with a genetically diverse or a similar group of trout? By tracking neutral genetic variation, the team found that the original genetic stock is not significant when studying 200 years into the future. The key to persistence, they found, is connectivity and the availability of habitat. The metapopulation structure allows for bull trout to access unoccupied patches. As a result, sufficient movement of genes between populations, called gene flow, is likely to maintain genetic variation.

“With what we know about the species, given its biology and the inputs that we provided for the model, there are scenarios in which the species will persist so long as connectivity is sufficiently high in the system. The river system looks like a good place to potentially reintroduce the species,” Mims said. “That was really encouraging.”

The study system is already seeing major changes. Improvements include removal of barriers, such as Mill Pond Dam in 2018, and adding fish passages to dams and culverts to allow for upstream movement and to control non-native species that compete with or prey on native wildlife. Many of these improvements and changes are in response to requirements by the Federal Energy Regulatory Commission to relicense big hydroelectric dams, like the Boundary Dam, owned and operated by Seattle City Light utility company.

“CDMetaPOP is already being used for other species and applied wildlife management questions – not just in freshwater ecosystems, but for terrestrial species, as well. I expect that these types of approaches, and CDMetaPOP in general, will continue to be extremely valuable tools,” Mims said.

However, simulations need reliable data as inputs. For many species, not enough is known about their natural history to be able to develop a complex simulation.

Mims is still in collaboration with her team, and they plan to continue their research to further understand the specifics of connectivity, its long-term implications, and the effects of fish being able to move freely through dams and culverts.

Researchers are also interested in the challenges brought on by climate change. As temperatures increase due to climate change, aquatic species tend to move upstream to cooler waters. With dams and culverts preventing them from doing so, aquatic species are unable to access these cool water locations which would support their populations. This can pose further problems for the decline of species and their possible reintroduction.

This research is an example of a successful, multiyear collaboration. Mims met her co-authors through the Landscape Genetics Distributed Graduate Seminar as a graduate student, and they have since developed this collaboration to engage stakeholders, Seattle City Light, federal agencies, and graduate students. Seattle City Light and West Fork Environmental provided field data, while the Kalispel Tribe, indigenous to the area, collected genetic samples.

— Written by Rasha Aridi

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Categories
Conservation Ideas New Publications Research

Researchers study people who feed birds in their backyards with implications for bird conservation

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From VT News

March 26, 2019

People in many parts of the world feed birds in their backyards, often due to a desire to help wildlife or to connect with nature. In the United States alone, over 57 million households in the feed backyard birds, spending more than $4 billion annually on bird food.

While researchers know that bird feeding can influence nature, they do not know how it influences the people who feed those birds.

Researchers Ashley Dayer and Dana Hawley of Virginia Tech set out to change all this by studying the observations and corresponding actions of those feeding birds. The study was conducted in collaboration with researchers from the Cornell Lab of Ornithology and the Odum School of Ecology at the University of Georgia, and their findings were recently published in People and Nature, a new journal published by the British Ecological Society.

“Given that so many people are so invested in attracting birds to their backyard, we were interested in what natural changes they observe at their feeders beyond simply more birds,” said Dayer, an assistant professor in the Department of Fish and Wildlife Conservation in the College of Natural Resources and Environment at Virginia Tech. “In particular, we wanted to know how they respond to their observations. For example, how do they feel if they see sick birds at their feeders, and what actions do they take to address these observations?”

The researchers analyzed how people who feed birds notice and respond to natural events at their feeders by collaborating with Project FeederWatch, a program managed by the Cornell Lab of Ornithology that engages more than 25,000 people to observe and collect data on their backyard birds.

Using a survey of 1,176 people who feed birds and record their observations of birds in the Project FeederWatch database, the researchers found that most people noticed natural changes in their backyards that could be due to feeding, including an increase in the number of birds at their feeders, a cat or hawk near their feeders, or a sick bird at their feeders.

“More and more, we see that humans are interacting less with nature and that more of our wildlife are being restricted to areas where there are humans around. Looking at how humans react to and manage wildlife in their own backyards is very important for the future of wildlife conservation and for understanding human well-being as the opportunities for people to interact with wildlife become more restricted to backyard settings,” said Hawley, an associate professor in the Department of Biological Sciences in the College of Science whose research program focuses on wildlife disease ecology and evolution.

Co-author David Bonter, director of citizen science at the Cornell Lab of Ornithology, echoed this same sentiment, citing his 17 years of experience in working with people who feed birds and learning about their observations. “This study provides important information about the breadth and pattern of these experiences through responses of over 1,000 participants. The findings will help us at Project Feederwatch improve how we work with bird watchers toward our shared goal of bird conservation.”

The people who feed birds also responded, particularly to cats at their feeders, by scaring off the cats, moving feeders, or providing shelter for birds. When observing sick birds, most people cleaned their feeders. When observing more birds, people often responded by providing more food.

Fewer people acted in response to seeing hawks; the most common response to this was providing shelter for the feeder birds. These human responses were, in some cases, tied to peoples’ emotions about their observations, particularly anger. While cats near feeders most commonly evoked anger, sick birds led to sadness or worry. Emotions in response to hawks were more varied.

“Feeding wild birds is a deceptively commonplace activity. Yet, it is one of the most intimate, private, and potentially profound forms of human interaction with nature. This perceptive study uncovers some of the remarkable depth associated with bird feeding and discerns that people who feed birds are alert to a wide range of additional natural phenomena,” said Darryl Jones, a professor at the Environmental Futures Research Institute and School of Environment and Sciences at Griffith University in Australia, who was not connected to the study.

 

One surprising result that the researchers found in this study was that when deciding how much to feed birds, people prioritized natural factors, such as cold weather, more than time and money. Most people believed that the effects of their feeding on wild birds was primarily good for birds, even though many observed and took action in response to natural events in their backyard that could impact the health of the birds and might partly result from their feeding.

“Overall, our results suggest that people who feed birds observe aspects of nature and respond in ways that may affect outcomes of feeding on wild birds. More work is needed to fully understand the positive and negative effects of feeding on wild birds and, thereby, the people who feed them,” said Dayer, whose research focuses on the human dimensions of wildlife conservation, applying social science to understand human behavior related to wildlife.

Dayer and Hawley are both affiliated faculty of the Global Change Center, which is housed within the Fralin Life Science Institute at Virginia Tech. This research was jointly funded by the Global Change Center at Virginia Tech and the Institute for Science, Culture, and Environment.

“This research effort is one of five projects resulting from our annual joint funding effort to promote collaborations between the social sciences/humanities and the biophysical sciences/engineering,” said William Hopkins, director of the Global Change Center at Virginia Tech and professor of fish and wildlife conservation. “It’s wonderful to watch new teams develop from these seed grants, and the collaboration between Drs. Dayer and Hawley is a great example of this initiative in action. It will be exciting to watch the research team’s success in years to come.”

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Categories
Biodiversity New Publications Research

Researchers analyze biodiversity patterns in Antarctic Dry Valleys

[vc_row][vc_column][vc_column_text]From VT News

March 19, 2019

Cover image: McMurdo Dry Valleys in Antarctica. Image Credit: McMurdo Dry Valleys LTER.

Antarctica is a nearly uninhabited, ice-covered continent ravaged by cold, windy, and dry conditions. Virginia Tech researcher and GCC faculty affiliate Jeb Barrett was part of an international collaborative team that analyzed biodiversity patterns in the McMurdo Dry Valleys of Antarctica.

“Surprisingly, we found that biotic, or living, interactions are crucial in shaping biodiversity patterns even in the extreme ecosystems of the Antarctic Dry Valleys. Antarctic soils are model ecosystems, limited by the extreme climate and lack of vascular plants, and they host simple food webs with few species,” said Barrett, professor in the Department of Biological Sciences in the College of Science.

These findings were recently published in two separate papers in Communications Biology. A paper on biotic interactions analyzes the entire community of soil organisms; its companion paperfocuses on the soil nematode community using a modeling approach.

Characteristics of Antarctic communities, such as simple food webs and low species richness, allow for a greater understanding of the whole community, from bacteria to multicellular invertebrates.

This research is the product of an international collaboration of scientists from half a dozen countries: the United States, New Zealand, Canada, Australia, Great Britain, and South Africa. Organized by the University of Waikato and the New Zealand Antarctic Program, it is the first of its kind to study a soil community in its entirety at a regional scale.

Barrett has been conducting research in Antarctica for 20 years; he deployed for this research collaboration in 2009 and 2010. Research in the Barrett lab addresses the influences of soils, climate variability, hydrology, and biodiversity on biogeochemical cycling from the scale of microorganisms to regional landscapes.

“My research in the Antarctic has been focused on analyzing the physical and geochemical drivers that predict biodiversity patterns. I focused initially on the nematode communities, and my work has now expanded into the bacterial communities, as well,” said Barrett, an affiliated faculty member of the Global Change Center, housed within the Fralin Life Science Institute.

The Communications Biology paper on biotic interactions considers the entire community of soil organisms: cyanobacteria, heterotrophic bacteria, nematodes, and other microscopic invertebrates. The scientists studied the factors that determine the distribution and abundance of these organisms, as well as temperature, topography, distance to the coast, and soil properties, such as water and pH levels, in their analysis.

“What makes this paper truly unique is that we considered the entire community of soil organisms and all the possible biotic and abiotic interactions that potentially shape the species composition and diversity,” said Barrett. “We used the statistical technique of structural equation modeling to tease out what the drivers of these communities are.”

Biogeochemistry and climate have strong effects on biodiversity, but this new data demonstrated that there are two other important factors. They found that biogeography and species interactions are stronger drivers of biodiversity than originally expected. Biogeographic processes occur when an organism moves through space, interacting with its community as it moves. Species interactions, such as predator-prey relationships and competition, also influence biodiversity.

In the companion paper, the researchers used a modeling approach to study the co-occurrence and distribution of three dominant nematode species found in the soil. Nematodes, also known as roundworms, are a group of simple organisms that have successfully adapted to nearly every ecosystem on Earth. The researchers demonstrated that competition is a more important driver of diversity patterns in the nematode community than previously thought.

nematodes
Nematode species Plectus (left) and Scottnema (right) found in the Antarctic. Photos courtesy of Jeb Barrett.

“We modeled three nematode species – Plectus, Scottnema, and Eurdoylaimus – that are potentially interacting. Our results show that it is not just environmental drivers that influence species distribution across the polar landscape but that competition and interactions are playing a large role in diversity patterns as well,” said Barrett.

The future challenge for researchers is to understand how the effects of climate change on these interactions will alter species coexistence in Antarctica. They expect that with increasing temperatures, the thawing of ice will create environments that select for nematode species more adapted to warmer and wetter environments. Early indications of this have already been observed in the team’s long-term monitoring studies of soil communities, as reported in the journal Ecology last year.

Barrett’s ongoing research is funded by the National Science Foundation’s Long Term Ecological Research (LTER) Program. His research goal with the LTER is to use a combination of manipulative experiments and long-term observations to understand how climate variability influences Antarctic organisms and ecosystems.

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Jeb Barrett’s research shows that extreme melt restructured the invertebrate ecosystem in Antarctica

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Categories
Climate Change New Publications Research

Multi-institutional team evaluates several factors for the success of a species reintroduction

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February 14, 2019

[/vc_column_text][/vc_column][/vc_row][vc_row][vc_column width=”1/2″][vc_single_image image=”28443″ img_size=”full” add_caption=”yes”][/vc_column][vc_column width=”1/2″][vc_column_text]Meryl Mims is lead author on a new paper published this week in Ecosphere. She and her colleagues evaluated the potential roles of environmental, demographic, and genetic factors in the success of a species reintroduction. Specifically, they used an individual-based, spatially-explicit computer modeling framework to simulate the reintroduction of bull trout into a river system in eastern Washington State. The research team evaluated where populations of bull trout might persist, their population numbers, and their genetics in the Pend Oreille River. They also looked at how specific traits of bull trout such as the probability of straying to new habitat affected the outcomes, and they examined the effects of dam removals from the river network.[/vc_column_text][/vc_column][/vc_row][vc_row][vc_column width=”1/2″][vc_single_image image=”28465″ img_size=”full” add_caption=”yes” alignment=”center”][/vc_column][vc_column width=”1/2″][vc_single_image image=”28466″ img_size=”full” add_caption=”yes” alignment=”center”][/vc_column][/vc_row][vc_row][vc_column][vc_column_text]They found that the presence or absence of dams had the greatest overall effect on the probability of bull trout to survive following reintroduction. They also found that the landscape and biological factors such as carrying capacity and stray rate had a much greater effect on genetics over the 200-year simulation than the initial genetic characteristics of the population. This project is one of the first to simultaneously look at genetic outcomes and demographic factors on a realistic landscape with a high-powered computer simulation approach. This work also highlights the utility of simulations in evaluating possible outcomes of species reintroductions when empirical experiments are not feasible.[/vc_column_text][/vc_column][/vc_row][vc_row][vc_column][vc_single_image image=”28447″ img_size=”full” add_caption=”yes” alignment=”center”][vc_separator][/vc_column][/vc_row]

Categories
Climate Change New Publications Research

Interactions between thermoregulatory behavior and physiological acclimatization in a wild lizard population

[vc_row][vc_column width=”1/3″][vc_row_inner][vc_column_inner][vc_single_image image=”19300″ img_size=”200×300″ add_caption=”yes”][/vc_column_inner][/vc_row_inner][/vc_column][vc_column width=”2/3″][vc_column_text]Martha Muñoz just published a new paper in the Journal of Thermal Biology. Behavioral thermoregulation and physiological plasticity have long been recognized as key traits that should buffer organisms from the pernicious effects of climate warming. Behavior and plasticity, however, are usually studied independently. By examining patterns of thermoregulation and physiological plasticity in a single population over the course of a year, the researchers demonstrated that the traits are not independent – thermoregulation is constrained by physiological plasticity. When considered in the framework of environmental warming, lizards might have a limited ability to mount a strong buffering response. This research is part of a new and ongoing collaboration with scientists at the Universidad Nacional Autónoma de México (UNAM). The next phase of this research is to conduct a macroevolutionary study of behavior and physiology across the whole clade of spiny lizards.

Stay tuned![/vc_column_text][/vc_column][/vc_row][vc_row][vc_column][vc_cta h2=”Study Highlights:”]

  • Behavioral thermoregulation and plasticity share physiological phenotypes.
  • We examined thermoregulation and plasticity in a wild lizard population.
  • Thermoregulation during the day potentially limits heat tolerance plasticity.
  • Limited thermoregulation at night potentially contributes to cold tolerance plasticity.
  • The preferred body temperature is labile across seasons, contributing to high thermoregulatory efficiency year-round.

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Conservation Disease New Publications Research

Researchers discover how ‘cryptic’ connections in disease transmission influence epidemics

Diseases have repeatedly spilled over from wildlife to humans, causing local to global epidemics, such as HIV/AIDS, Ebola, SARS, and Nipah.

A new study by researchers of disease transmission in bats has broad implications for understanding hidden or “cryptic” connections that can spread diseases between species and lead to large-scale outbreaks.

By dusting bats with a fluorescent powder that glows under ultraviolet light, Virginia Tech researchers Joseph Hoyt and Kate Langwig were able to trace the dynamics of disease transmission in bat species that have been devastated by white-nose syndrome, a deadly fungal disease that has killed 6.7 million bats in North America since 2006.

Their findings were recently published in the journal Nature.

“These results uncovered and quantified connections, both within and among species, that we never knew about before,” said first author Joseph Hoyt, who led the study as a UC Santa Cruz graduate student and completed the analyses at Virginia Tech as a research scientist in the Department of Biological Sciences in the College of Science.

“We had been seeing explosive epidemics where an entire bat population would become infected with white-nose syndrome within a month or two, and it was a mystery as to how that was happening. We are now able to more accurately explain and track the spread of white-nose syndrome, and our study has strong implications for predicting other epidemics,” Hoyt said.

When we think about who we might get sick from, we tend to think of our social groups: family, friends, and co-workers. But, we forget about that brief interaction with an employee at the DMV, a barista at a coffee shop, or shared airspace on public transportation. People are aware of these interactions, but not how important they are to the spread of epidemics. In the past, these types of hidden interactions have been poorly understood because they are so difficult to quantify.

Second author on the study, Kate Langwig, an assistant professor in the Department of Biological Sciences at Virginia Tech, said this study shows that infrequent and indirect connections, also called “cryptic” connections, among individuals play a far larger role in the transmission of disease than was previously understood.

“Cryptic connections are essentially pathways or connections between individuals that we wouldn’t normally be able to estimate or observe. They have largely been ignored by researchers in the past, but this study quantifies their importance. Our study creates an integrated model of social group connections and cryptic connections,” said Langwig, an affiliated faculty member of the Global Change Center, an arm of the Fralin Life Science Institute.

Coauthor A. Marm Kilpatrick, associate professor of ecology and evolutionary biology at UC Santa Cruz, noted that spillover events, when pathogens spread from wild animals to human populations, tend to occur through these kinds of cryptic connections. “We don’t normally appreciate how important they are except retrospectively, when we investigate outbreaks of diseases like Ebola or SARS,” he said.

“Our study has compelling implications that will allow researchers to track seemingly random or indirect connections in wildlife that may spill over to human populations,” said Langwig.

The fluorescent dust used in this study proved to be highly effective at revealing cryptic connections among the bats. The researchers conducted the study at eight hibernation sites, mostly abandoned mine tunnels, in the upper Midwest. Each site had as many as four species of bats using it. At the start of the study, the pathogen causing white-nose syndrome had not yet reached these populations.

The researchers first surveyed the bats and characterized their social networks, measuring direct physical contacts among bats hibernating together in groups, as well as additional connections made by bats moving between groups. Then, they applied the fluorescent dust to several bats in early winter, using a different color for each individual bat. In late winter, the researchers returned to see where each color of fluorescent dust ended up.

“We amassed huge data sets for every single bat in each population. We characterized the bats’ social groups, and also used the fluorescent dust to track their movements and contacts,” said Langwig.

The researchers found that “the spread of the dust mirrors how the fungal pathogen spreads, so we can see if a bat deposits dust somewhere in the environment and another bat passes through and picks it up. It also reveals infrequent direct contacts that we would not normally observe,” said Hoyt.

The fungal pathogen that causes white-nose syndrome arrived in the area after the fluorescent dust studies were conducted, and the researchers also tracked its spread at each site. They found that the actual transmission dynamics of the disease were better explained by the sum of all the connections revealed in the dust studies than by just using the hibernation social groups.

“We were able to explain the actual invasion of the pathogen much better by including those cryptic connections, and they were even more important for explaining transmission between species than for transmission within species,” Hoyt said.

Bats roosting
Image left: Northern long-eared bat roosting solitarily during hibernation. Image right: Little brown bat covered in UVF dust roosting in a group with other little brown bats. Images courtesy Joe Hoyt and Kate Langwig.

One of the puzzling features of white-nose syndrome is its ability to spread through a community of bats during the winter, when the animals are hibernating 99.5 percent of the time. They rouse from hibernation only very briefly every two to three weeks. Yet the dust studies showed that they move around enough to have many more connections than can be observed in their hibernation groups.

Most striking were the cryptic connections revealed for one species, the northern long-eared bat, which roosts by itself, not in groups. Although classical theory would predict low infection rates for this solitary species, it has been hard hit by white-nose syndrome.

“When we put fluorescent dust on the northern long-eared bat, it would show up on other species that we had never seen them interact with. We would never have predicted that the infection could spread by that route,” Hoyt said.

The researchers discovered that a different solitary species, the tri-colored bat, has a lower infection rate and showed less evidence of cryptic connections with other bats, but did transfer dust to surfaces in the sites where it roosts. “We found that the tri-colored bat is much more spatially segregated. It’s not that it doesn’t rouse and crawl around, it just does so in a range that has less overlap with other bats — it appears to be more territorial in its use of space,” Hoyt said.

Unfortunately for bats, the spores of the fungal pathogen that causes white-nose syndrome stay in the environment and remain infectious for years. Once the walls and ceiling of a cave have been contaminated with the spores, bats using the site for hibernation will be exposed to infections year after year.

White-nose syndrome is considered one of the worst wildlife diseases in modern times, having killed millions of bats across North America.

But white-nose syndrome does not appear to pose a risk to human health. It is caused by the fungus Pseudogymnoascus destructans, which grows optimally at low temperatures. The United States Geological Survey said, “Thousands of people have visited affected caves and mines since white-nose syndrome was first observed, and there have been no reported human illnesses attributable to white-nose syndrome. We are still learning about the disease, but we know of no risk to humans from contact with white nose-affected bats.”

The Virginia Tech and UC Santa Cruz researchers are part of a coordinated response to white-nose syndrome involving state and federal agencies, universities, and nongovernmental organizations.

In addition to Hoyt, Langwig, and Kilpatrick, the coauthors of the paper include Paul White, Heather Kaarakka, and Jennifer Redell at the Wisconsin Department of Natural Resources; Allen Kurta at Eastern Michigan University; John DePue and William Scullon at the Michigan Department of Natural Resources; Katy Parise and Jeffrey Foster at the University of New Hampshire; and Winifred Frick at Bat Conservation International and UC Santa Cruz. This work was supported by the National Science Foundation, U.S. Fish and Wildlife Service, and Bat Conservation International.

Hoyt and Langwig were hired as part of the Global Systems Science Destination Area in the College of Science at Virginia Tech to address issues of infectious disease. The Global Systems Science Destination Area is focused on understanding and finding solutions to critical problems associated with human activity and environmental change, that, together affect diseases states, water quality, and food production.

Written by Kristin Rose and Tim Stephens

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Categories
Climate Change Disease Drinking water New Publications

Surface water and flood dynamics increase vulnerability to waterborne disease and climate change

Diarrheal disease, a preventable and treatable illness, remains the second-leading cause of death in children under the age of 5 and a persistent public health threat in sub-Saharan Africa.

Researchers have now uncovered how surface water dynamics may increase the vulnerability of dependent populations to diarrheal disease and climate change.

Kathleen Alexander, professor of wildlife in Virginia Tech’s College of Natural Resources and Environment, in collaboration with Alexandra Heaney and Jeffrey Shaman, both of Columbia University’s Mailman School of Public Health, has been conducting research on the influence of flood pulse dynamics on diarrheal disease along the Chobe River flood plain system in northern Botswana.

The results of their study, funded by the National Science Foundation, were published in PLOS Medicine.

Alexander’s research is focused on communities reliant on surface water in the Chobe River flood plain system. This river system, like others in Africa, experiences annual floods that are highly variable, both seasonally and from year to year.

Alexander and her team wanted to know if surface water dynamics were contributing to diarrheal disease outbreaks and how climate change, predicted to increase flooding and hydrological variability, might increase the vulnerability of local human populations to diarrheal disease.

Despite the presence of centralized water treatment infrastructure, outbreaks of diarrheal disease continue to occur in a quasi-regular pattern in the region.

“It was a fundamental question for me,” Alexander said. “These places are doing everything right, but local populations are still impacted by diarrheal disease. Why does the infrastructure fail to protect these communities, and what can we do to improve public health now and under future environmental conditions?”

In partnership with the government of Botswana, the researchers evaluated outbreak patterns across eight villages and towns along the Chobe River, utilizing decades of data from 10 government health facilities. They evaluated these data in conjunction with detailed hydrometeorological conditions, including bimonthly water quality studies that spanned nearly a decade.

They discovered that increases in diarrheal disease cases were closely tied to periods of rainfall, flood recession, and changes in surface water quality, with a 1 meter drop in river height in the dry season associated with a staggering 16.7 percent increase in diarrheal disease in children under 5.

A significant finding was that various age groups were affected differently by season, with children aged 1 to 4 experiencing more illnesses in the wet season with rainfall events, whereas older children and adults reported more diarrhea in the dry season during periods of flood recession. Diarrhea type also varied significantly by season.

“What this tells us is that environmental conditions drive diarrheal disease — not just the number of diarrhea cases and timing of outbreaks but also who is affected and what type of diarrhea might occur,” said Alexander, who is also affiliated with Virginia Tech’s Fralin Life Science Institute.

Adults and children were equally affected, suggesting that in high HIV burden populations such as those in northern Botswana, an expansion of diarrheal disease surveillance and intervention strategies may be needed to engage other at-risk sectors of the population beyond the under-5 age class.

While flooding of a region is often associated with disease outbreaks in other systems, it was the draining of water from the flood plains that was most closely tied to diarrheal disease and degraded water quality in this study.

“This research shows the complex relationships among people, wildlife, and the water cycle in regions with pronounced wet and dry seasons,” said Richard Yuretich, a director of the National Science Foundation’s Dynamics of Coupled Natural and Human Systems program, which funded the research. “The pattern of disease associated with changes in the volume and quality of water can help in designing water-treatment systems that are responsive to the natural ebb and flow of the environment.”

The researchers hypothesize that extreme variability in surface water conditions associated with annual rainfall and flood dynamics may compromise water treatment facilities that require removal of sediments and solids to be effective.

“These highly variable surface water dynamics are difficult to manage in many water treatment plants, potentially increasing waterborne disease risk in dependent populations,” Alexander said.

In southern Africa, climate change is predicted to intensify hydrological variability and the frequency of extreme events, such as drought and floods, suggesting that dependent populations will be more vulnerable to waterborne disease.

“There is an urgent need to evaluate water infrastructure and ensure these systems are able to handle rapid shifts in surface water quality,” Alexander said.

Alexander emphasized that the complex dynamics influencing diarrheal disease underscore the need for inclusion of research dimensions not usually considered in the field of public health.

“A single scale of study is often inadequate to understanding today’s complex problems,” she noted. “Public health research must look beyond the patient, engaging multiscale and multidisciplinary approaches that span the human-environmental interface.”

Alexander, a wildlife veterinarian, disease ecologist, and co-founder of the Center for Conservation of African Resources: Animals, Communities, and Land Use (CARACAL) in Botswana, directs her research program at exploring and understanding the factors that influence the emergence and persistence of novel and re-emerging diseases at the human-wildlife-environment interface.

Funding for this study was provided by the National Science Foundation’s Dynamics of Coupled Natural and Human Systems program, with additional support contributed through the Empowerment of Non State Actors Programme, a joint partnership between the government of Botswana and the European Union. This paper is part of the PLOS Medicine Special Issue: Climate Change and Health.

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Categories
Biodiversity Conservation Global Change New Publications

Mammal diversity will take millions of years to recover from the current biodiversity crisis

Matt Davis, Søren Faurby, and Jens-Christian Svenning
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Significance

Biodiversity is more than the number of species on Earth. It is also the amount of unique evolutionary history in the tree of life. We find that losses of this phylogenetic diversity (PD) are disproportionally large in mammals compared with the number of species that have recently gone extinct. This lost PD can only be restored with time as lineages evolve and create new evolutionary history. Without coordinated conservation, it will likely take millions of years for mammals to naturally recover from the biodiversity losses they are predicted to endure over the next 50 y. However, by prioritizing PD in conservation, we could potentially save billions of years of unique evolutionary history and the important ecological functions they may represent.

Abstract

The incipient sixth mass extinction that started in the Late Pleistocene has already erased over 300 mammal species and, with them, more than 2.5 billion y of unique evolutionary history. At the global scale, this lost phylogenetic diversity (PD) can only be restored with time as lineages evolve and create new evolutionary history. Given the increasing rate of extinctions however, can mammals evolve fast enough to recover their lost PD on a human time scale? We use a birth–death tree framework to show that even if extinction rates slow to preanthropogenic background levels, recovery of lost PD will likely take millions of years. These findings emphasize the severity of the potential sixth mass extinction and the need to avoid the loss of unique evolutionary history now.

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As we enter a potential sixth mass extinction (1), triaging species and prioritizing limited conservation funds grow increasingly urgent if we wish to preserve biodiversity (2). However, taxonomic species richness (SR), the most used metric for measuring biodiversity among researchers, governments, and managers, is insufficient for these purposes because it implicitly treats all species equally (3). Functional diversity (FD), a richer metric that captures species’ ecological adaptations and contributions to ecosystem function is growing in popularity, but it is difficult to measure and hard to compare between different taxonomic groups (24). Phylogenetic diversity (PD), the amount of independent evolution within a phylogeny (5), is a complementary metric that measures lineage history and may be correlated to functional trait diversity and evolutionary potential (4, 6, 7, but cf. ref. 8). PD is generally considered a better metric of biodiversity than SR because it incorporates both SR and phylogeny, is less influenced by arbitrary taxonomic decisions, and provides a powerful metaphor of “national heritage” for conservationists (5, 9). Furthermore, unlike FD index values, which are relative to each idiosyncratic analysis, PD is typically measured in millions of years of independent evolution (the sum of all branch lengths connecting a set of species to the root of their phylogenetic tree), a meaningful common currency that allows comparisons across a wide range of taxa and studies (2, 5). It is difficult to understand and measure the FD contribution of every species in a community, but with the rapid advancement of environmental DNA methods and computational capabilities, we could potentially place all those species on the tree of life to measure their contribution to PD (6, 10).

The incipient sixth mass extinction that started during the Late Pleistocene has been diagnosed by extremely elevated modern extinction rates compared with background levels (1). However, one can also put our current biodiversity crisis in perspective by estimating the time necessary for global diversity to recover to a preanthropogenic state (11). Although regional losses in biodiversity might be lessened by restoration activities such as species reintroductions and rewilding (12), at the global scale, lost PD can only be restored by time as species evolve and create new evolutionary history. For example, although as few as 500 individuals of the critically endangered (CR) pygmy sloth (Bradypus pygmaeus) remain (13), global PD would recover from the extinction of this species in less than 2 y (11). This is not to say that a new species of pygmy sloth would evolve within this time or that the sloth’s ecological functions would be restored, but that the 8,900-y loss in unique evolutionary history brought about by the sloth’s extinction could be countered simply by all 5,418 remaining mammal species existing, and hence evolving, for an additional 1.64 y. The pygmy sloth, however, is one of the youngest mammal species, splitting from its congener during a vicariance event in the Holocene. The extinction of the aardvark (Orycteropus afer) would cause a much larger drop in PD, over 75 My, because the aardvark is the sole representative of an entire order. Such deep cuts into the mammal tree are increasingly likely, given that over one-fifth of current mammal species are threatened with extinction (14). How much PD will mammals lose during the ongoing sixth mass extinction, and can they recover this lost biodiversity?

Massive Losses of Evolutionary History

We randomly sampled 30 phylogenies from the posterior distribution reported by Faurby (15), which includes all extant and extinct Late Quaternary mammal species. Combining these trees and ranked threat statuses from the International Union for the Conservation of Nature (IUCN), we calculated the loss of PD since the Last Interglacial (∼130,000 y ago) and the expected loss of PD, given probabilities that currently threatened species will go extinct in the near future (16). Unlike most previous studies, here, we use the Last Interglacial as a baseline instead of the present day because it better represents the typical, megafauna-rich state that existed through much of the Cenozoic (17). Leaving prehistoric extinctions out of analyses undercounts biodiversity loss and ignores the many large impacts these extinctions have had on modern ecology (17). To put global PD losses in perspective compared with species losses, we randomly shuffled species’ IUCN statuses 250 times so that taxonomic losses during simulated extinctions were of the same severity but random with respect to phylogeny (SI Appendix).

Several unique mammal lineages (notably the endemic South American orders Litopterna and Notoungulata) were completely lost during the likely human-linked extinctions of the terminal Pleistocene and early Holocene (18). These extinctions also decimated the sloth and anteater, armadillo, odd-toed ungulate, and elephant lineages, all disproportionately rich in PD (Fig. 1 and SI Appendix, Fig. S1). Human-linked prehistoric extinctions saddled global mammal diversity with a PD loss of 2 billion y of unique evolutionary history. Historic extinctions since 1500 CE caused an additional 500 My of loss, leaving PD levels far worse than expected, given null expectations of random extinctions (Fig. 2 and SI Appendix, Table S1). This is partly because prehistoric and historic extinctions were highly size-biased (19), devastating large mammals (SI Appendix, Fig. S2), a group shouldering a disproportionate share of PD. Evolutionary history has its own intrinsic value (20), but these lost years also represent a loss of instrumental value in the extinction of unique functional traits (2, 10). Human-linked extinctions have already left the world in an atypical state: depauperate of large animals and the important ecosystem functions and services they provide (17).

Fig. 2.

Fig. 2.

Projected extinctions show a greater loss of PD in mammals than expected, given species loss. The black line shows the percentage of PD and SR remaining compared with a preanthropogenic baseline (130,000 y ago). Colored lines show 250 null simulations where extinctions are of equal magnitude, but random with respect to phylogeny. Lines correspond to the extinction scenarios labeled with the same color. Results from one randomly selected phylogenetic tree are shown. Summary results for all trees are shown in SI Appendix, Table S1, and results using the present day as a baseline are shown in SI Appendix, Table S5.

If current lineages simply persisted without any new speciation or extinction, it would take nearly 500,000 y for the ∼5,400 current mammal species to evolve enough new history to restore net PD to preanthropogenic levels. But there will be new extinctions. The IUCN’s own definitions for ranks predict the loss of 99.9% of CR species and 67% of endangered species within the next 100 y (16), eliminating even more ecosystem functions and services and further increasing mammals’ already large PD debt. At the same time, mammals will also continue to diversify; if every lineage speciated into two distinct lineages, PD could be restored in half the time. The larger the speciation rate (λ) is compared with the extinction rate (μ), the shorter the amount of time (t) that it will take for mammals to naturally evolve back their lost PD. Given realistic background speciation and extinction rates, how long would it take mammals to regain this evolutionary history? Put another way, given a human time scale, can mammals evolve fast enough to recover from the sixth mass extinction?

We considered a “best-case” counterfactual model where the average global extinction rate drops down to background levels (21) before mammals are allowed to recover and start evolving new evolutionary history (Fig. 3). This could happen either because of a massive, global paradigm shift toward increased conservation efforts or because human populations have somehow collapsed to a point at which we are no longer a dominant and threatening ecological force. Using extinction probabilities extrapolated from IUCN definitions (16), we examined five scenarios for when PD was allowed to recover. Mammals could start recovering immediately or after 20, 50, or 100 y of status quo conservation efforts. If they started recovering immediately, only the PD lost during historic and prehistoric extinctions would need to be recovered. However, if mammals were not allowed to recover until sometime in the future, there would be a large chance that many extant species would also go extinct (SI Appendix, Table S2), creating even more lost PD compared with the baseline of all species alive at the Last Interglacial. To determine how large of an effect prehistoric extinctions had (18, 22), we also measured what would happen if mammals were allowed to recover from a 1499 CE baseline (i.e., before any “historic” or potential future extinctions). Using a birth–death tree framework (23) and a range of preanthropogenic background extinction rates (21), we then determined the speciation rate necessary to generate enough new PD through the evolution of new branch lengths to equal the PD lost during prehistoric and historic extinctions and potential future extinctions (Fig. 3 and SI Appendix).

Fig. 3.

Fig. 3.

Diagrammatic explanation of how we modeled the loss and recovery of PD. The total PD of a prehistoric tree containing all mammals is used as a preanthropogenic baseline before (A) a simulated extinction pulse removes species from the tree proportional to their probability of extinction (B). IUCN status abbreviations: EN, endangered; EP, extinct in prehistory (a status added here); LC, least concern; VU, vulnerable. (C) After the extinction pulse, lineages are allowed to diversify at background extinction rates until they have generated enough new branch lengths to restore lost PD (red branches).

Recovery Times for PD

Although PD losses may be highly variable across clades and regions, previous studies predict that, globally, expected mammal PD losses should not be disproportionally severe (2426, but cf. ref. 27 in which disproportionate losses of higher taxonomic units, although not necessarily PD, are predicted). Phylogenetic traits like lineage age, lineage richness, and evolutionary distinctiveness (ED) show no significant relationships with extinction risk (28), and simulations suggest that even though extinctions may be highly phylogenetically clustered (29), this is not enough to cause large losses in PD (30). However, when considering a baseline of the Last Interglacial, we found that global PD losses were much worse than expected (Fig. 2 and SI Appendix, Table S1), although losses did vary greatly across different taxonomic groups (SI Appendix, Fig. S3). Although extinction risk did not show a strong phylogenetic signal in our data, species that went extinct prehistorically (before 1500 CE) were significantly larger, older, and more evolutionarily distinct than other species (SI Appendix, Figs. S2, S4, and S5). Considering only terrestrial species, extinct megafauna (≥45 kg) were, on average, 48% older than surviving species and 61% more evolutionarily distinct. This is partly just a function of size, but even among large terrestrial mammals, extinct megafauna stood out. On average, they were 49% older and 57% more evolutionarily distinct than surviving megafauna. This means that prehistoric and historic extinctions were close to worst-case scenarios for PD loss, as many of the most phylogenetically distinct species were lost first, a pattern that has little analog in the fossil record (31). Even when excluding the strong effect of these extinct species by using the present day as a baseline like previous studies (2426), we still found disproportionate (albeit much smaller) losses in PD compared with SR in 14 of the 30 phylogenetic trees examined (SI Appendix, Fig. S6 and Table S5).

If the status quo of mammal conservation continues for 50 y before mammals are allowed to recover, speciating and going extinct at their average preanthropogenic background rates of λ = 0.276 and μ = 0.272 (roughly, one to two extinctions per 1,000 y) (21), it would take 5–7 My to restore the PD debt from prehistoric and historic extinctions (Fig. 4 and SI Appendix, Fig. S7). Even if background extinction rates effectively slowed to a stop (μ = 0), speciation rates in mammals would still have to be about twice as high as their highest levels during the Cenozoic to restore PD debt within 500,000 y. Rates this high would mean that all mammals on Earth would have to speciate as fast as the Lake Victoria and Lake Malawi cichlids (32), the textbook vertebrate clade for extremely rapid evolution, without a single lineage going extinct. These high rates are not merely due to using the Late Pleistocene as a baseline. Of the 4,280 My of total PD debt we expect to have accrued after 50 y of status quo conservation, less than 60% comes from historic (509 My) and prehistoric (1,995 My) extinctions. Speciation rates and recovery times would still be excessive using the modern day as a baseline by completely ignoring historic and prehistoric extinctions (SI Appendix, Fig. S8). If the extinction rate fell to its average preanthropogenic level (μ = 0.272), mammals would have to speciate faster than their highest Cenozoic rate (21) (λ = 0.969) for 1 My just to restore the amount of evolutionary history we are expected to lose in the next five decades (SI Appendix, Fig. S8). More realistically, average preanthropogenic speciation rates suggest a recovery time of 3–5 My (SI Appendix, Fig. S8).

Fig. 4.

Fig. 4.

(A) Speciation rate (λ) needed to recover PD lost over the past 130,000 y (a preanthropogenic baseline) assuming status quo conservation is allowed to continue for 50 more years before extinction rates drop to their average background levels (μ = 0.272). The x axis shows how many millions of years (t) it would take for PD to recover with a given λ value (y axis, lineages per million species years). The gray dotted line is the average background λ of 0.276 for comparison. (B) The log ratios of mammal body masses at PD recovery, given a t and λ in A, to their preextinction masses. The colored lines represent how much the lower quartile, median, and upper quartile of mammal body mass will decrease from their preanthropogenic baselines represented by the dotted line. (C) Global mammal SR at recovery generated with a given t and λ in A. The dotted line shows a preanthropogenic SR of 5,761 mammals.

Lagged Functional Recovery Times

Functional recovery from the sixth mass extinction would likely take even longer than PD recovery. We estimated mass distributions of future mammals using simulated birth–death trees and a neutral Brownian motion model of evolution on log-transformed weight with rates conditioned on the full trees (Fig. 4B). Currently, median mammal body mass (72.7 g) is 14% lower than its preanthropogenic level of 84.3 g. Stopping extinctions right now (μ = 0) could restore PD within 500,000 y, given a very high speciation rate (SI Appendix, Fig. S7), but it would still take 4–5 My before median body mass returned to its pre-Pleistocene extinction level (SI Appendix, Fig. S9). If all extinctions stopped 50 y from now, it could take over 7 My for body sizes to recover (SI Appendix, Fig. S9). Although Faith (5) originally developed PD as a measure of the total number of features in an assemblage, PD is now often implicitly treated as equivalent to the range of trait values in an assemblage (33, 34) (i.e., functional richness, a component of FD). Prioritizing PD is generally a reasonable method for conserving FD (4), but restoring one does not always restore the other (24, 33, 35). This is partly because, even if traits are perfectly phylogenetically conserved, not all evolutionary time is equal. For example, one could say that losing 500 My of PD is roughly equivalent to losing a monotypic phylum (27). However, because the expected variance of traits evolving through Brownian motion increases linearly with time, a 1-My-old clade with 500 species would have only 1/250th of the expected trait variance of a pair of sister species that split apart 250 Mya despite both clades having the same rate of trait evolution and representing 500 My of PD (36). Even if PD is equal, for trait diversity, recovery at short time scales and high speciation rates is not equivalent to recovery at long time scales and lower speciation rates. This means that given neutral evolution, the unique traits of threatened, phylogenetically isolated taxa (10) cannot be easily replaced by short, rapid bursts of speciation, greatly prolonging the time needed for full functional recovery.

Even recovering such a large amount of PD through a rapid burst of speciation is highly unlikely. This is made clear by examining the expected number of species generated if PD lost during prehistoric and historic extinctions and the next 50 y was restored (Fig. 4C). To generate this much PD within 500,000 y and with an average background extinction rate (μ = 0.272), new lineages would have to rapidly split, creating many functionally similar species on short branches. The world would have over 22,000 mammal species, 6,000 of them rats (Muroidea) (Fig. 4C). The existence of a strict carrying capacity for SR is debatable even at local scales (37); however, it seems unlikely that the globe could support almost fourfold the number of species that it harbored during the Late Pleistocene without some major geographical alterations. More reasonable speciation rates are likely those where the Earth maintains a taxonomic diversity close to its current level (λ ≈ 0.276), leading to a recovery time of 5–7 My. Even then, each order’s proportional contribution to global PD could change greatly in the future. After 50 y of status quo conservation, rodents are predicted to show a large increase in proportional PD. Bats, eulipotyphlans, carnivorans, opossums, rabbits and pikas, and hyraxes are expected to make smaller gains (SI Appendix, Fig. S10). All other orders are predicted to decrease in their proportional contribution to global PD. Primates and many Australasian marsupials could show large losses.

Avoiding a Mass Extinction

Is there any way to avoid the grim predictions of our model and speed recovery of PD and FD? The preferential extinction of older lineages seen in the Late Pleistocene and early Holocene is rare in the deeper fossil record (31), making mechanistic comparisons with past extinction events uncertain. Although the size bias of recent extinctions could lead to a “Lilliput effect” where small, surviving species rapidly evolve into vacant niches (38), the correlation between genetic substitution rates and high diversification rates necessary for this pattern have not been found in mammals (39). In general, mammals may not have the elevated speciation rates (21) shown by other taxa after mass extinctions (40). However, even with strong selection for mammals to fill vacant niche space, recovery times on the order of millions of years are probably realistic. The maximum body mass of terrestrial mammals took over 10 My to first evolve from horse-sized to elephant-sized (41).

The results reported here show that it is unlikely that mammals can evolve fast enough to restore their lost PD on any kind of time scale relevant to humans. Just the PD that mammals are expected to lose in the next few decades would realistically take millions of years to recover (SI Appendix, Fig. S8). Even after this PD recovery, FD (SI Appendix, Fig. S9) would likely remain highly altered for millions of years more. The lost evolutionary history from previous and ongoing extinctions is already affecting ecosystems (42), a trend that will likely only get worse. If anything, our grim predictions of long recovery times are conservative. Unlike our best-case scenario model, there is little reason to expect that humans will be able to bring extinction rates down to background levels within the next century with a rising human population and increasing anthropogenic climate change. The only real option to speed PD recovery is to save unique evolutionary history before it is already lost. In addition to increasing overall conservation efforts, we should use available PD methods to prioritize action for evolutionarily distinct species and dedicate more research to exploring PD’s relationship with FD and ecosystem services (4, 7). If we could momentarily stop extinctions for mammals, we would save as much evolutionary history in the next 100 y as what our ancestors lost in the last 100,000 y (SI Appendix, Table S1). Extinction is part of evolution, but the unnatural rapidity of current species losses forces us to address whether we are cutting off twigs or whole branches from the tree of life.

Materials and Methods

We developed a counterfactual model to investigate how fast current mammal species would have to evolve to replace the amount of evolutionary history they have already lost and are expected to lose during the ongoing sixth mass extinction. This model assumes a best-case scenario, where the average global extinction rate for mammals drops down to background levels (21) before they are allowed to recover and start evolving new evolutionary history (Fig. 3). Using a birth–death tree framework (23) and a combination of simulations and algebraic solutions, we iteratively determined the speciation rate (λ) necessary to recover lost PD with a given time span (t) and extinction rate (μ). Both λ and μ were measured in lineages per species per million years, and t was measured in millions of years.

Mammal phylogenies and body mass data came from a prerelease (version 1.1) of the PHYLACINE database (15). Average background diversification rates for mammals were from Alroy (21). Extinction probabilities for extant species were based on studies by Mooers et al. (16) and Isaac et al. (43). To partition expected PD (44) fairly among taxa, we developed a missing PD metric, expected ED, a probabilistic version of ED (45). To facilitate the use of the expected ED metric, we created an R package (“mallorn”) that can quickly calculate expected ED and expected PD (10.5281/zenodo.1286923, available at https://megapast2future.github.io). All analyses were carried out in R version 3.4 (46). Detailed information on data and methods is provided in SI Appendix. The complete data and code necessary to replicate this analysis are archived at Zenodo (doi.org/10.5281/zenodo.1286876).

Acknowledgments

We thank the editor and two anonymous reviewers for their thorough comments and Emilio Berti, Arne Mooers, Daniel Rabosky, Anthony Barnosky, and John Alroy for helpful and enlightening discussions. This work was funded as part of the Carlsberg Foundation Semper Ardens project MegaPast2Future (Grant CF16-0005) and a VILLUM Investigator project funded by VILLUM FONDEN (Grant 16549). S.F. was supported by the Swedish Research Council (Grant 2017-03862) and a Wallenberg Academy Fellowship from the Knut and Alice Wallenberg Foundation (awarded to Alexandre Antonelli, principal investigator).

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