Tag Archives: statistical models

Nitrogen From Humans Pollutes Remote Lakes For More Than A Century

By Guest PostJanuary 4, 2012Environmentacid rain, agricultural fertilizers, alexander wolfe, Anthropocene, aquatic archeology, atmosphere, atmospheric currents, biologically active nitrogen, bottom deposits, carbon, chemical composition, chemical signals, climate, daniel schindler, double whammy, earth, effects of pollution, excess nitrogen, fertilizer use, fingerprint, global biogeochemical cycles, gordon holtgrieve, high lake, historical changes, human activities, human derived nitrogen, journal science, lakes, natural sources of nitrogen, new geological era, nitrogen, nitrogen characteristics of lake sediments, nitrogen cycle, nitrogen pollution, northern europe, northern hemisphere, peter leavitt, planetary scale changes, remote ecosystems, smog, southwest alaska, statistical models, university of Alberta, university of washington, us rocky mountains, vital nutrient for life, water pollution

Nitrogen derived from human activities has polluted lakes throughout the Northern Hemisphere for more than a century and the fingerprint of these changes is evident even in remote lakes located thousands of miles from the nearest city, industrial area or farm.

The findings, published in the journal Science Dec. 16, are based on historical changes in the chemical composition of bottom deposits in 36 lakes using an approach similar to aquatic archeology. More than three quarters of the lakes, ranging from the U.S. Rocky Mountains to northern Europe, showed a distinctive signal of nitrogen released from human activities before the start of the 20^th century, said Gordon Holtgrieve, a postdoctoral researcher at University of Washington School of Aquatic and Fishery Sciences and lead author of the report. The UW and a dozen other research institutions contributed to the research. (more…)

Statistical Models Inspired from Facebook could help endangered Animals, UF Researchers say

By Guest PostNovember 17, 2011Science, Technologycactus bug, employed to analyze human interactions on social networks, endangered animals, Facebook, habitat locations, habitat movement using models, national academy of sciences, predict relationships among people in social media, predict the movements of animals, prioritize habitat restoration efforts, social network, statistical models, uf’s institute of food and agricultural sciences, university of florida

GAINESVILLE, Fla. — Some endangered animals may live in smaller habitats than scientists realize, leading to inflated estimates of their ability to survive, according to a new University of Florida study.

However, by predicting the animals’ habitat movement using models employed to analyze human interactions on social networks such as Facebook, scientists with UF’s Institute of Food and Agricultural Sciences find the animals’ predicament could be better understood.

Conservationists can use this improved approach to better prioritize habitat restoration efforts for endangered species, said author Robert Fletcher, a UF wildlife ecology and conservation assistant professor. (more…)