Spreading the load on fisheries through balanced harvesting

A more balanced approach to harvesting fish could slow down fisheries-induced evolution and result in other conservation benefits, according to collaborative research from UC's School of Mathematics and Statistics.

Lettuce have it: Machine learning for cr-optimization

At Earlham Institute (EI), artificial intelligence based techniques such as machine learning is moving from being merely an exciting premise to having real-life applications, where it's needed most: improving efficiency and ...

Maximizing conservation benefits

Overexploitation and population collapse pose significant threats to marine fish stocks across the globe. While certain fish populations have already collapsed, research indicates that nearly one third of fisheries worldwide ...

Global centers of unsustainable harvesting of species identified

Unsustainable harvesting, including hunting, trapping, fishing and logging, comprises one of the biggest threats to biodiversity. Yet, no previous assessment has investigated which areas are most vulnerable to this threat ...

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