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Web page ranking algorithm detects critical species in ecosystems

A team of researchers uses PageRank, a web ranking algorithm, to identify critical species in food webs and predict ecosystem collapse. By applying the algorithm to ecological networks, they find that certain species play a disproportionate role in maintaining ecosystem function.

SourcePLOS·JournalPLOS Computational Biology·DateSep 3, 2009

Revealed: the secrets of successful ecosystems

The study found that an intermediate rate of dispersal creates a 'happy medium' wherein species move around enough to adapt to harsh environments, increasing ecosystem productivity and biodiversity. This breakthrough helps ecologists develop strategies for conservation areas with high biomass and diversity.

SourceImperial College London·JournalNature·DateMar 12, 2008

Green morality

Research by Albert Bandura highlights how disguising environmentally harmful practices can have a negative impact on the environment and quality of life. He argues that we must switch on our environmental conscience to save the world from ecological degradation.

SourceInderscience Publishers·JournalInternational Journal of Innovation and Sustainable Development·DateDec 4, 2007

System can predict disease spread

Researchers at Oregon State University and EPA developed a new approach to predict disease spread based on climate change and ecological changes. The system uses loop analysis and vectorial capacity formula to estimate the growth rate of diseases, providing valuable insights for public health officials.

SourceOregon State University·JournalTransactions of the Royal Society of Tropical Medicine and Hygiene·DateFeb 19, 2004

Water Treatment Cleans Pesticides On-Site

A new cleanup system called Anodic Fenton Treatment (AFT) can clean up waste water from pesticides and textile processing on-site in just two to three minutes. The AFT process uses two electrochemical half-cells to produce hydroxyl radicals that break down unwanted chemicals, producing safe water for disposal.