New Haven, Connecticut – Global warming may cause more extinctions than predicted if scientists fail to account for interactions among species in their models, Yale and University of Connecticut (UConn) researchers argue in ‘Science’.
“Currently, most models predicting the effects of climate change treat species separately and focus only on climatic and environmental drivers,” said Phoebe Zarnetske, the study’s primary author and a postdoctoral fellow at the Yale School of Forestry & Environmental Studies. “But we know that species don’t exist in a vacuum. They interact with each other in ways that deeply affect their viability.”
Zarnetske said the complexity of “species interaction networks” discourages their inclusion in models predicting the effects of climate change. Using the single-species, or “climate envelope”, approach, researchers have predicted that 15 percent to 37 percent of species will be faced with extinction by 2050.
But research has shown that top consumers – predators and herbivores – have an especially strong effect on many other species. In a warming world, these species are “biotic multipliers”, increasing the extinction risk and altering the ranges of many other species in the food web.
“Climate change is likely to have strong effects on top consumers. As a result, these effects can ripple through an entire food web, multiplying extinction risks along the way,” said Dave Skelly, a co-author of the study and professor of ecology at Yale.
The paper argues that focusing on these biotic multipliers and their interactions with other species is a promising way to improve predictions of the effects of climate change, and recent studies support this idea. On Isle Royale, an island in Lake Superior, rising winter temperatures and a disease outbreak caused wolf populations to decline and the number of moose to surge, leading to a decline in balsam fir trees. In the rocky intertidal of the North American Pacific Coast, higher temperatures altered the ranges of mussel species and their interaction with sea stars, their top predators, resulting in lower species diversity. And in Arctic Greenland, higher temperatures led to decreased diversity in tundra plants without the presence of caribou and muskoxen and, in turn, affected many other species dependent on them.
“Species interactions are necessary for life on Earth. We rely on fisheries, timber, agriculture, medicine, and a variety of other ecosystem services that result from intact species interactions,” said Zarnetske. “Humans have already altered these important interactions, and climate change is predicted to alter them further. Incorporating these interactions into models is crucial to informed management decisions that protect biodiversity and the services it provides.”
Multispecies models with species interactions, according to the paper, would enable tracking of the biotic multipliers by following how changes in the abundance of target species, such as top consumers, alter the composition of communities of species. But there needs to be more data.
“Collecting this type of high-resolution biodiversity data will not be easy,” said Mark Urban, a co-author and an assistant professor in the Department of Ecology and Evolutionary Biology at the University of Connecticut. “However, insights from such data could provide us with the ability to predict and thus avoid some of the negative effects of climate change on biodiversity.”
The paper was supported by the National Science Foundation (NSF) and the Yale Climate and Energy Institute.
Details of the Paper:
Source: Yale School of Forestry & Environmental Studies, Yale University.
