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Quantitative training overhaul needed in ecology

Ecologists are collecting more data than ever before, but many still lack confidence in the quantitative skills needed to make sense of it, according to a new paper.

Quantitative training overhaul needed in ecology

A new paper, A century of inertia in quantitative ecology education, published in Methods in Ecology and Evolution, highlights the need for a significant overhaul in quantitative training within the ecology field. Despite the surge in data collection methods, ecologists often lack the necessary quantitative skills to effectively analyze and interpret the data.

The study, led by Dr. William Kay from Cardiff University, identifies several barriers to progress, such as curricula focused on statistical techniques, student anxiety around mathematics, limited resources, and a separation between ecology and statistics. To address these issues, the paper proposes a shift towards teaching deeper conceptual understanding and fostering quantitative literacy among ecologists.

This approach would enable ecologists to better understand data, communicate with quantitative specialists, and critically evaluate evidence, ultimately improving their ability to address critical issues like biodiversity loss and climate change.

Brief written by urgent.news from Phys.org's own syndicated text. Machine-written — may contain errors; check the original before relying on it.

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