Poyang Lake, one of China's most diverse wildlife areas, increasingly faces shifting use patterns and new threats to the wildlife and human communities who call it home. Ph.D. candidate James Burnham seeks to understand how changing lake hydro-dynamics and human impacts affect the local wildlife, particularly the critically endangered Siberian Crane.
Chain Classification is a new methodology to map landcover for large areas. The basic idea is to extrapolate the information obtained in one classified image (first) to classify an adjacent image (second). A third image can be classified based on the second and so on, resulting in a Chain classification.
Ecologists often approach their research as a measure everything, predict everything endeavor. While this is advantageous when resources are unlimited, this is rarely the case, and often there are only a few observations. Nick Keuler, resident statistician in the SILVIS lab, offers some guidelines to developing good predictive models.
Can a bumper sticker inspire innovative research? In the case of Chad Rittenhouse PhD, a chance sighting motivated an innovative line of research that questions how changes occur in the natural world and how we perceive and measure these changes.
There is not a map that predicts bird species biodiversity for the whole United States at scales that are relevant for a forester or a county planner. However, such a map is utterly needed to make realistic conservation plans.
After the collapse of the Soviet Union in 1991, privatization of timber firms was expected to provide an efficient mechanism for the management of forest resources in Russia. Kelly Wendland analyzes how economic factors have impacted harvesting since transition and explores whether weak governance effected investment decisions in European Russia.

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