For Immediate Release
Researchers from North Carolina State University have created a model that mimics how differently adapted populations may respond to rapid climate change. Their findings demonstrate that depending on a population’s adaptive strategy, even tiny changes in climate variability can create a “tipping point” that sends the population into extinction.
Carlos Botero, postdoctoral fellow with the Initiative on Biological Complexity and the Southeast Climate Science Center at NC State and assistant professor of biology at Washington University, wanted to find out how diverse populations of organisms might cope with quickly changing, less predictable climate variations.
“Organisms tend to adopt a strategy for dealing with changes in their environment,” Botero says. “Some of them adjust their gene expression either at birth or throughout their lifetime, which we refer to as irreversible and reversible plasticity. Some do what we call ‘bet-hedging,’ producing offspring that are adapted to one of two possible outcomes so that at least half of their offspring survive, and some rely on plain old evolution – which we call adaptive tracking – to keep up with environmental changes. We wanted to determine which strategies worked best under certain circumstances, and find the point at which that strategy would no longer be viable.”
Botero and colleagues Franz Weissing from the University of Groningen, Netherlands, Jonathan Wright from the Norwegian University of Science and Technology and Dustin Rubenstein from Columbia University, created virtual organisms that were able to modify their insulation – or how they might respond to temperature changes through coat thickness, sweating, etc. – to adapt to the environment, and then placed them in simulations with areas of fast and slow temperature variation and high and low predictability.
The results mapped to a series of “zones” where each adaptive strategy worked best. For example, organisms that used reversible plasticity as a strategy did better in a highly predictable environment, even if the rate of environmental change was rapid. Organisms that relied on adaptive tracking, however, did fine regardless of predictability, as long as the rate of change was slow.
But when the organism got close to the edge of its zone, the smallest variation in either predictability or rate of change led to rapid extinction. The researchers found that these tipping points could occur even with changes that seemed statistically insignificant.
“These results were in line with what we would expect,” Botero says. “Within their zones, most of these strategies allow for some variability – and in some cases, the changes within zones can be really huge without much effect on the organism. But when the organism gets close to the margin of another zone, even the tiniest change in either predictability or rate of environmental change can result in immediate extinction, because the initial adaptive strategy no longer works.
“We hope that this model can serve as a first step in the process of locating populations that exist close to these boundary areas, so we can better identify species that are most at risk of extinction.”
The research appears in the Proceedings of the National Academy of Sciences.
Note to editors: The abstract of the paper follows.
“Evolutionary tipping points in the capacity to adapt to environmental change”
Authors: Carlos A. Botero, Initiative for Biological Complexity and the Department of the Interior Southeast Climate Science Center, North Carolina State University and Washington University; Franz J. Weissing, University of Groningen, The Netherlands; Jonathan Wright, Norwegian University of Science and Technology, Norway; Dustin R. Rubenstein, Columbia University
Published: Online in Proceedings of the National Academy of Sciences
In an era of rapid climate change there is a pressing need to understand how organisms will cope with faster and less predictable variation in environmental conditions. Here we develop a unifying model that predicts evolutionary responses to environmentally driven fluctuating selection, and use this theoretical framework to explore the potential consequences of altered environmental cycles. We first show that the parameter space determined by different combinations of predictability and timescale of environmental variation is partitioned into distinct regions where a single mode of response (reversible phenotypic plasticity, irreversible phenotypic plasticity, bet-hedging, or adaptive tracking) has a clear selective advantage over all others. We then demonstrate that although significant environmental changes within these regions can be accommodated by evolution, most changes that involve transitions between regions result in rapid population collapse and often extinction. Thus, the boundaries between response mode regions in our model correspond to ‘evolutionary tipping points’ where even minor changes in environmental parameters can have dramatic and disproportionate consequences on population viability. Finally, we discuss how different life histories and genetic 37 architectures may influence the location of tipping points in parameter space and the likelihood of extinction during such transitions. These insights can help identify and address some of the cryptic threats to natural populations that are likely to result from any natural or human-induced change in environmental conditions. They also demonstrate the potential value of evolutionary thinking in the study of global climate change.