Implementing the Kunming-Montreal Biodiversity Targets.
Saved in:
| Title: | Implementing the Kunming-Montreal Biodiversity Targets. |
|---|---|
| Authors: | Gittleman, John L.1,2 jlg@uga.edu, Pimm, Stuart L.1,3, Van Rensburg, Berndt J.4,5, Van Houtan, Kyle S.1,6, Roberts, Callum M.6 |
| Source: | Proceedings of the National Academy of Sciences of the United States of America. 1/13/2026, Vol. 123 Issue 2, p1-7. 7p. |
| Subjects: | Biodiversity, Sustainability, Convention on Biological Diversity (1992), Nature conservation, Resource allocation, Indigenous peoples, Protected areas, Conservation projects (Natural resources) |
| Abstract: | The Kunming-Montreal Biodiversity Targets present the most ambitious and serious conservation agenda ever developed--the overarching goal of preserving 30% of the planet by 2030. An organizational framework is now in place to deliver stable, predictive, and adaptive actions to monitor and measure the Earth's biodiversity, assess ecological and evolutionary changes, identify key drivers of those changes, and, at the core, apply effective scientific, financial, and governmental treatments to halt biodiversity decline for a sustainable future. Is this implementable? We summarize the essence of the Targets to raise key questions about their execution. We show that the reports of large conservation organizations connect to these Targets only infrequently. Yet, there is abundant evidence to measure the successes and failures of the conservation enterprise. Generally, global financial commitments are substantial and increasing. We specify improvements and continual reassessments toward protected areas, developing countries, and indigenous communities. To achieve success, we recommend actionable plans to improve implementation leading up to and following the next CBD-COP meetings. [ABSTRACT FROM AUTHOR] |
| Copyright of Proceedings of the National Academy of Sciences of the United States of America is the property of National Academy of Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
Be the first to leave a comment!
