Quantitative ecology/ethnoecology draws upon environmental science, agricultural sciences, research methodology, and biometrics to study how humans understand and interact with the ecosystems around them. The discipline applies biomathematics, environmental informatics, and biostatistical methods in the life and environmental sciences to data collection, data analysis, modeling, monitoring, evaluation, and data communication. A quantitative approach has great significance in ecology and ethnoecology where large quantities of observation, measurement, experiment, or literature data are available to describe and understand complex systems, processes, or phenomena.
| Paul Armsworth ||Ecology & Evolutionary Biology||Applications of mathematical modeling, statistics and optimization to inform conservation of biodiversity and the management of ecosystem services|
| Michael J. Blum||Ecology & Evolutionary Biology||Aquatic ecology, socioecology, sustainability, conservation biology|
| Orou Gaoue ||Ecology & Evolutionary Biology||Conservation biology, demography, plant-human interactions|
| Xingli Giam ||Ecology & Evolutionary Biology||Conservation ecology, global environmental change|
| Louis Gross ||Ecology & Evolutionary Biology; Mathematics||Mathematical ecology. Director, NIMBioS; Director, The Institute for Environmental Modeling (TIEM)|
| Monica Papeş ||Ecology & Evolutionary Biology; Director, Spatial Analysis Lab||Ecological niche modeling, conservation science, GIS and remote sensing|