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How much monitoring is needed to reliably track progress towards genetic diversity targets?

How much monitoring is needed to reliably track progress towards genetic diversity targets?

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Authors

Katherine Hébert , Laura J. Pollock, Sean M. Hoban

Abstract

Achieving global biodiversity targets hinges on indicators of biodiversity change that convert raw data into reliable numbers that can shape policy, conservation, management, and, ultimately, the future of biodiversity worldwide. Indicators can only be used confidently if they detect and summarise biodiversity trends as intended, given the available data worldwide. Knowing whether indicators can reliably detect and summarize trends as intended requires robust testing, which is a challenging and under-developed practice. Here, we test the performance of a genetic diversity indicator of the Global Biodiversity Framework (GBF), the Proportion of populations with an effective size greater than 500 (or, Ne>500) and show that it can be reliably reported under realistic scenarios of population trends, monitoring frequency, and observer error. To ensure this reliability, our results suggest that monitoring programs aim to monitor populations every 1 to 4 years, at least 40% of populations per species, and at least 8% (species pools of several thousands), 23% (species pools 300 to 500 species) or 56% (species pools <100) of the targeted species richness. These findings show that the indicator is, in addition to being feasible and meaningful, technically reliable under realistic biodiversity monitoring schemes. Going forward, it is still essential to invest in genetic monitoring using indicators and DNA-based data, given the goal of safeguarding genetic diversity in the Global Biodiversity Framework. Beyond this indicator, we emphasize that performance testing is needed for more indicators to ensure reliable progress tracking towards the GBF targets and the global goal of halting biodiversity loss.

DOI

https://doi.org/10.32942/X2F35K

Subjects

Biodiversity, Ecology and Evolutionary Biology, Genetics, Population Biology

Keywords

genetic diversity, Indicator, Global Biodiversity Framework, performance test, biodiversity change, Biodiversity Monitoring, conservation, conservation genetics

Dates

Published: 2025-11-07 08:22

Last Updated: 2025-11-07 08:22

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License

CC BY Attribution 4.0 International

Additional Metadata

Conflict of interest statement:
None.

Data and Code Availability Statement:
Code to generate, analyze, and visualize the simulated data in this study is accessible on GitHub (https://github.com/katherinehebert/Ne_scenarios). No data was collected for this study.

Language:
English