Ecological niche modeling uses computer algorithms to predict the distribution of a species across geographic space and time using environmental data. The environmental data are most often climate data (e.g. temperature, precipitation), but can include other variables such as soil type, water depth, and land cover. Ecological niche models are used in several research areas in conservation biology, ecology and evolution. The distribution of a species may be influenced by an array of factors. The combination of these factors results in the ecological niche, the set of conditions that allow a species to exist in a geographic area. However, defining the set of conditions is difficult, due to the complexity of natural systems. One approach to characterizing the ecological niche uses spatial data, GIS software, and modeling algorithms.
| 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)|
| Yetta Jager ||Ecology & Evolutionary Biology; Environmental Sciences Division, Oak Ridge National Lab||Quantitative ecology, hydropower, conservation biology|
| Monica Papeş ||Ecology & Evolutionary Biology; Director, Spatial Analysis Lab||Ecological niche modeling, conservation science, GIS and remote sensing|
|Kimberly Sheldon ||Ecology & Evolutionary Biology||Biogeography, physiological ecology, tropical ecology|
| Daniel Simberloff ||Ecology & Evolutionary Biology||Biological invasions, ecology, conservation biology, biogeography|