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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 study published in Methods in Ecology and Evolution highlights the need for a comprehensive overhaul in quantitative training within the field of ecology. Lead author Dr. William Kay from Cardiff University's School of Biosciences points out that the rapid advancements in data collection methods, such as environmental sensors, genomic sequencing, satellite monitoring, and citizen science projects, have rendered quantitative skills crucial for addressing issues like biodiversity loss, climate change, wildlife populations, and ecosystem health.

Despite recognizing the importance of stronger quantitative training for over a century, progress has been slow. The international team of researchers, comprising members from six universities and the Serrapilheira Institute in Brazil, identifies practical barriers as major hindrances to implementing educational reforms on a large scale.

These barriers include curricula that heavily emphasize statistical techniques over general concepts, student anxiety surrounding mathematics and statistics, limited staff time and resources, reduced opportunities for field-based learning, and the separation of ecology from statistics.

The paper suggests a shift in approach, recommending that educators focus on fostering a deeper conceptual understanding rather than teaching statistics as isolated methods. Dr. Kay emphasizes that current educational systems often fail to afford sufficient time for students to develop the necessary quantitative skills. Instead, the research advocates for a model of quantitative literacy, aiming for all ecologists to possess the ability to comprehend data, communicate effectively with quantitative specialists, critically evaluate evidence, and recognize when additional expertise is needed.

Dr. Chris Sutherland from the University of St Andrews emphasizes the importance of bringing students from diverse disciplinary backgrounds together during quantitative training. By integrating statistics and biology students, for instance, the researchers believe that a more cohesive understanding of quantitative skills can be achieved.

Dr. Tiago Marques from the University of Lisbon concurs, stating that the challenge now lies in creating educational systems that enable ecologists to attain the necessary quantitative skills and that progress is attainable.

Written by urgent.news from Phys.org's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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