In a paper published in the journal "Ecology Letters," Dr. Aaron Packman, assistant professor of biological sciences, presents a new framework that explains how the rate at which organisms use energy and the amount of carbon they store in their tissues influence the cycling of nutrients and the structure of food webs.
"My theory provides a mechanistic understanding of how metabolism and carbon storage interact to regulate ecosystem processes," Packman said. "This framework can be used to predict how ecosystems will respond to environmental changes, such as those caused by climate change or land use change."
Packman's theory is based on the idea that metabolism and carbon storage are two key traits that determine how organisms interact with their environment. Organisms with high metabolic rates tend to consume more resources and produce more waste, while organisms with high carbon storage tend to be more resistant to environmental stress.
Packman's theory predicts that ecosystems with high levels of metabolism and carbon storage will be more productive and have more complex food webs. This is because organisms with high metabolic rates will consume more resources, which will release nutrients into the environment and support the growth of other organisms. Organisms with high carbon storage will be more resistant to environmental stress, which will allow them to survive in harsh conditions and compete successfully with other organisms.
Packman's theory has important implications for understanding how ecosystems will respond to environmental changes. For example, climate change is predicted to increase the metabolic rates of organisms, which could lead to increased nutrient cycling and productivity. However, climate change is also predicted to decrease the amount of carbon stored in ecosystems, which could make organisms more susceptible to environmental stress and reduce the complexity of food webs.
"My theory provides a framework for understanding how these two opposing forces will interact to affect ecosystem functioning," Packman said. "This information can help us to predict how ecosystems will respond to environmental changes and to develop strategies to mitigate the negative effects of these changes."
Packman's research was funded by the National Science Foundation.
