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Kline, David

Inactive Smithsonian Tropical Research Institute staff

David is a coral reef ecologist who studies the fate of coral reefs in a rapidly changing world. He studies the ecology of corals and reef communities, and how reefs will change under the plethora of stresses they face, both local (e.g. pollution and disease) and global (warming and ocean acidification). He regularly collaborates with engineers, computer scientists, chemists, and to physiologists to find new and ingenious ways to protect the future of coral reefs by developing new and innovative conservation technologies.  

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  • Dr. David I. Kline is a staff scientist at the Smithsonian Tropical Research Institute in Panama. David grew up in Southern California and received his BS from Carleton College in Minnesota and his PhD from SIO. He did postdoctoral fellowships at the Smithsonian Tropical Research Institute in Panama and at the University of Queensland, Australia. He was a research biologist at the Scripps Institution of Oceanography, UCSD from 2011-2019. He has led or co-authored over 50 high impact peer-reviewed publications with over 4800 citations and an h-index of 31.

    David is a coral reef ecologist who studies the fate of coral reefs in a rapidly changing world. He studies the ecology of corals and reef communities, and how reefs will change under the plethora of stresses they face, both local (e.g. pollution and disease) and global (warming and ocean acidification). He regularly collaborates with engineers, computer scientists, chemists, and to physiologists to find new and ingenious ways to protect the future of coral reefs by developing new and innovative conservation technologies.  

    These conservation technologies include an underwater time machine (FOCE) that uses sensor arrays and computer controlled dosing pumps to produce future predicted ocean conditions (pH, temperature and pollution) on the reef and determine how corals and coral reef communities will be impacted. Another project, called the Computer Vision Coral Ecology project, that he helps lead developed a machine learning system that uses facial recognition technologies to automate the analysis of coral reef survey photographs and videos (CoralNet), so that data can be obtained from surveying imagery up to 10,000x faster.  Additionally, he leads an NSF funded project with Martin Tresguerres titled “Cellular physiological mechanisms for coral calcification and photosynthesis: extending lab-based models to the field” in which they are using immunological techniques to study coral responses to changing environmental conditions, in combination with controlled aquarium studies, field transplant experiments and reef biochemistry studies. In this research they are developing a mechanistic understanding of corals response to stress from the cellular to the ecosystem level and hope to provide new solutions for coral reef conservation and management.

     

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