By Kellie Britch, College of Arts and Sciences

Maitner’s latest paper was recently published in the Proceedings of the National Academy of Sciences of the United States of America (PNAS).
Brian Maitner, an assistant professor in the Department of Integrative Biology, is revolutionizing the way researchers examine and predict the impact of environmental
                  shifts on plant diversity. His work will ultimately give decision-makers the necessary
                  information to preserve one of the world’s most valuable resources: trees. 
 
“Trees are perhaps some of the most important organisms on the planet,” said Maitner.
                  “They really drive things like climate carbon sequestration and the local climate
                  structure for animals. For humans, they provide endless physical and cultural value.
                   
 
“Trees provide oxygen and food, stabilize the soil, protecting areas against flooding,
                  give us building materials and significantly impact mental health.” 
 
Long-term changes to global temperatures and an increase in land development force
                  living things, such as trees, to adapt, migrate or face extinction. By studying a
                  tree’s characteristics and history, researchers like Maitner hope to learn how to
                  save them. 
 
Maitner is working with a team of interdisciplinary collaborators from around the
                  world to map the ranges of tree species globally and predict their long-term health.
                  By using a technique called exposure modeling, the team is able to map the historical
                  conditions experienced by various species of trees. 

Maitner and his collaborators use maps like this to gauge the potential number of tree species that could be impacted by environmental changes in a given area. (Image courtesy of Brian Maitner)
Unlike other exposure models that focus on isolated things like temperature or rain fall, Maitner’s model uses the Köppen-Geiger climate classification system to track more significant environmental changes.
“Köppen-Geiger climate zones are basically ways of splitting the environment into
                  major climate areas,” explained Maitner. “For example, is it a temperate region or
                  a tropical region? Is it a desert? Is it tundra? These high-level categories correspond
                  with boundaries for different types of ecosystems and the extent of where different
                  plants can live.”
 
Being exposed to a new climate zone signifies a potentially major shift that could
                  threaten the survival of a tree species.  
 
“When you see that something like 80 percent of tree species in some areas are going
                  to be exposed to a whole new climate zone by the end of the century, that's actually
                  quite alarming,” said Maitner. “That means, for example, all these species that thrive
                  in temperate regions are going to be moving into a tropical climate, and we have no
                  evidence that they can actually survive in those conditions.” 
 
Maitner’s models allow researchers to differentiate between regions that are relatively
                  stable and areas where most species will be exposed to a new climate.
 
“That allows us to target regions where we might need to think about how we can manage
                  things differently,” said Maitner. “For areas that aren't changing, we might consider
                  making it an area we want to protect because it could serve as a refuge. This gives
                  us the chance to open up different management scenarios, and it allows decision makers
                  to potentially make more informed choices.”
 
This data also presents interesting opportunities for biologists, specifically graduate
                  students, to visit the areas with increased exposure and perform experiments on the
                  species that could be exposed to new, potentially threatening, conditions.
 
Learn more about Maitner’s research.
