Scientists at the Cornell Lab of Ornithology have developed a novel way to model whether the populations of more than 500 bird species are increasing or decreasing. The method solves a nagging statistical problem by accounting for year-to-year changes in the behavior of people collecting the data. The result is detailed trend maps for each species down to an eight-mile radius—a major boost for local conservation efforts. Scientists used an approach called Double Machine Learning. Details are published in the journal Methods in Ecology and Evolution.
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Source: Phys.org