EconPapers    
Economics at your fingertips  
 

Improving biodiversity protection through artificial intelligence

Daniele Silvestro (), Stefano Goria, Thomas Sterner and Alexandre Antonelli ()
Additional contact information
Daniele Silvestro: University of Fribourg
Stefano Goria: Thymia
Thomas Sterner: University of Gothenburg
Alexandre Antonelli: University of Gothenburg

Nature Sustainability, 2022, vol. 5, issue 5, 415-424

Abstract: Abstract Over a million species face extinction, highlighting the urgent need for conservation policies that maximize the protection of biodiversity to sustain its manifold contributions to people’s lives. Here we present a novel framework for spatial conservation prioritization based on reinforcement learning that consistently outperforms available state-of-the-art software using simulated and empirical data. Our methodology, conservation area prioritization through artificial intelligence (CAPTAIN), quantifies the trade-off between the costs and benefits of area and biodiversity protection, allowing the exploration of multiple biodiversity metrics. Under a limited budget, our model protects significantly more species from extinction than areas selected randomly or naively (such as based on species richness). CAPTAIN achieves substantially better solutions with empirical data than alternative software, meeting conservation targets more reliably and generating more interpretable prioritization maps. Regular biodiversity monitoring, even with a degree of inaccuracy characteristic of citizen science surveys, further improves biodiversity outcomes. Artificial intelligence holds great promise for improving the conservation and sustainable use of biological and ecosystem values in a rapidly changing and resource-limited world.

Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed

Downloads: (external link)
https://www.nature.com/articles/s41893-022-00851-6 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natsus:v:5:y:2022:i:5:d:10.1038_s41893-022-00851-6

Ordering information: This journal article can be ordered from
https://www.nature.com/natsustain/

DOI: 10.1038/s41893-022-00851-6

Access Statistics for this article

Nature Sustainability is currently edited by Monica Contestabile

More articles in Nature Sustainability from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2022-06-25
Handle: RePEc:nat:natsus:v:5:y:2022:i:5:d:10.1038_s41893-022-00851-6