Skip to main content
From Data to Decisions: Towards a Biodiversity Monitoring Standards Framework

From Data to Decisions: Towards a Biodiversity Monitoring Standards Framework

This is a Preprint and has not been peer reviewed. This is version 1 of this Preprint.

Add a Comment

You must log in to post a comment.


Comments

There are no comments or no comments have been made public for this article.

Downloads

Download Preprint

Authors

Andrew Gonzalez , Tom August, Sallie Bailey, Kyle Bobiwash, Philipp Boersch-Supan, Neil Burgess, Barnabus H Daru, Chris Elphick, Rob Freckleton, Winifred F Frick, Alice C. Hughes , Nick J. B. Isaac, Julia P G Jones, Marco Lambertini, Oisin Mac Aodha, Anil Madhavapeddy, E.J. Milner-Gulland, Andy Purvis, Nick Salafsky, William Sutherland, Iroro Tanshi, Varsha Vijay, Hollis Woodard, David Williams

Abstract

Achieving the goals of the Kunming-Montreal Global Biodiversity Framework (GBF), requires robust monitoring and reporting to track progress and guide action. However, our ability to understand trends is challenged because biodiversity data are fragmented and biased. This stems from the many different approaches used to record data, aggregate records, and analyze them to detect trends and attribute causes. While this fragmentation reflects a past lack of a unifying mandate and technological capacity, the urgency of the GBF and new capabilities in data science now make a harmonized approach both necessary and feasible. We propose the Biodiversity Monitoring Standards Framework (BMSF) as the how: a comprehensive, modular, and tiered system designed to guide the standardization of the entire monitoring workflow—from planning and ethical data collection to model-based analysis and reporting. The BMSF integrates Essential Variables, standardized protocols, and the Findable, Accessible, Interoperable, and Reusable (FAIR) and Collective Benefit, Authority to Control, Responsibility, and Ethics (CARE) data-management principles. It promotes accredited analytical workflows, operationalized through open-source tools and platforms that have standardized data protocols. This framework enables comparison and aggregation of findings across scales by ensuring consistent data capture, quality assurance, and validated analytical pathways with uncertainty reporting. It is designed to support critical decisions, such as prioritizing areas for restoration and conservation, and verifying corporate nature-related disclosures. The implementation of the BMSF is envisioned through a federated model, building on the strengths of existing organizations and observatories. If supported, the BMSF offers a pathway to actionable, globally comparable knowledge.

DOI

https://doi.org/10.32942/X2SW7C

Subjects

Life Sciences

Keywords

Indicators, conservation, Biodiversity Monitoring, Standardization

Dates

Published: 2025-09-19 04:28

Last Updated: 2025-09-19 04:28

License

CC-BY Attribution-NonCommercial 4.0 International

Additional Metadata

Conflict of interest statement:
No conflict of interest to declare

Data and Code Availability Statement:
No code associated with this preprint

Language:
English