Hindcasting helps scientists improve forecasts for life on Earth
Earth’s changing environment and rapidly growing population are pushing plants and animals out of their native habitats, but current models that predict how this will affect the ecosystem are little more than educated guesses. And when the models have been tested, they’ve been wildly inaccurate.
A large and diverse group of scientists at UC Berkeley has launched a unique program, the Berkeley Initiative in Global Change Biology (BiGCB), to improve the reliability and accuracy of these models. The experts are employing hindcasting — “predicting” what happened during past episodes of climate change — to help them develop and test new models that will improve forecasting.
“The only way to test a model and improve forecasting is through hindcasting,” said Charles Marshall, director of the University of California Museum of Paleontology and a UC Berkeley professor of integrative biology. “Once we have a tested model that accurately tells us what is likely to happen to biological systems, we can construct policies to minimize unwanted impacts.”
One of the leaders of BiGCB, Marshall said that the university’s large museum collections — priceless records of how animals and plants adapted to past ecological change — will allow scientists to travel back in time to study how previous periods of global change, similar to what is now occurring, affected the biosphere. Those data can then be used to test and improve current predictive models and eventually come up with forecasting tools for policy makers and scientists alike.
A recent $1.5 million grant from the W. M. Keck Foundation will fund the development of a web-based informatics portal that will provide the framework for building the next generation of predictive models, while a new $2.5 million grant from the Gordon and Betty Moore Foundation will support seven specific projects focused on global change forecasting in California.
“These datasets are pure gold,” Marshall said, referring to UC Berkeley’s plant, vertebrate, insect and fossil collections.
Mining museum collections
Information from the museum collections — including the geographic distribution of specimens, their DNA and even hitchhiking pollen and parasites — provides a density of data going back hundreds and, in the case of paleontological collections, millions of years.
According to BiGCB co-leader Rosemary Gillespie, current species distribution models incorporate climate model predictions of how temperature and rainfall will change and assume that an organism will move to areas that match its preferred habitat in terms of temperature, moisture, food and more.
“You might expect that, with warmer temperatures, animals will move up mountains to keep cooler, but we know that it’s more complex than that: Some animals are killed off, some adapt to the new conditions, and others move upslope,” said Gillespie, a professor of environmental science, policy and management and director of the campus’s Essig Museum of Entomology. “We are hoping to narrow down the parameters that are important in an organism’s adaptation to change, and distill those into a model that will be more reliable in predicting how biota and the associated landscape are going to change.”
One big difference between the BiGCB and efforts elsewhere is the initiative’s focus on a specific ecosystem and every organism in that ecosystem over time in order to develop a complete history of change at that site.
The Essig Museum, for example, contains specimens of bees, together with the pollen they were carrying and their parasites, from nearly every year since 1910. New technologies make it possible to use DNA from the historical samples to see how the honey bees, plants, pollination activities and disease have changed in the past, and from that infer how it might change in the future as a result of urbanization or agricultural land conversion.
Another BiGCB project involves drilling into Northern California’s Clear Lake – one of the oldest lakes in the United States – in search of pollen that will tell how vegetation changed with altered climate as far as 130,000 years into the past. This period covers the last major climate shift in North America, the retreat of glaciers 12,000 years ago. Vegetation changes will be correlated with changes in animal populations as evidenced by fossils collected from numerous caves around Clear Lake and currently held in the Museum of Paleontology.
An anthropologist who studies California’s Indians will work with pollen experts to correlate human fire use over the past 13,000 years with changes in vegetation at a coastal site near Año Nuevo and the inland area near Pinnacles National Monument.
“UC Berkeley’s museums have been involved in collecting species for a long time, and many people asked, ‘What use was it?’” Gillespie said. “But with rapid changes now taking place in the environment, the value of that history is roaring to the forefront. With the genomics revolution, we can exploit the collections and see genetic change in action over hundreds of years.”
The informatics portal, what BiGCB scientists refer to as the “Keck engine,” will combine easily searched, cloud-based databases of museum collections, such as the vertebrate-focused VertNet, with an online visualization tool created at Berkeley called Cal-Adapt, which displays a variety of climate change scenarios in map format. The end result could project, for example, how species’ ranges will shift in relation to one another, as well as to changes in snow pack, wildfire danger and temperature through the end of the century.
“We plan to overlay the collections data on Cal-Adapt data and develop a visual interface that will allow scientists to go backward in time to hindcast as well as forecast,” Gillespie said.
“The Keck engine is a really exciting tool, a transformation in how we approach issues of global change,” Marshall said. “It should really alter the extent to which we can say if there is a link between global change and biotic change.”