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| Auteurs principaux: | , , , , , |
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| Format: | Preprint |
| Publié: |
2024
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| Sujets: | |
| Accès en ligne: | https://arxiv.org/abs/2411.10307 |
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| _version_ | 1866908545655504896 |
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| author | Rocha, Juan C. Jouffray, Jean-Baptiste Bengtsson, Frida Voicu, Bianca-Ioana Sánchez, Paula A. Galaz, Victor |
| author_facet | Rocha, Juan C. Jouffray, Jean-Baptiste Bengtsson, Frida Voicu, Bianca-Ioana Sánchez, Paula A. Galaz, Victor |
| contents | Climate change and other anthropogenic pressures are likely to induce tipping points in marine ecosystems, potentially leading to declines in primary productivity and fisheries. Despite increasing attention to nature-related financial risks and opportunities within the ocean economy, the extent to which these tipping points could affect investors has remained largely unexplored. Here we used satellite data to track fishing vessels operating in areas prone to marine regime shifts, as identified by their loss of resilience and vulnerability to marine heatwaves, and uncovered their corporate beneficial owners and shareholders. Despite some data gaps, we identified key countries, companies, and shareholders exposed to tipping risk. We also outline the potential challenges and opportunities that these actors may face if marine ecosystems shift to less productive states. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_10307 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Identifying companies and financial actors exposed to marine tipping points Rocha, Juan C. Jouffray, Jean-Baptiste Bengtsson, Frida Voicu, Bianca-Ioana Sánchez, Paula A. Galaz, Victor Computational Engineering, Finance, and Science Climate change and other anthropogenic pressures are likely to induce tipping points in marine ecosystems, potentially leading to declines in primary productivity and fisheries. Despite increasing attention to nature-related financial risks and opportunities within the ocean economy, the extent to which these tipping points could affect investors has remained largely unexplored. Here we used satellite data to track fishing vessels operating in areas prone to marine regime shifts, as identified by their loss of resilience and vulnerability to marine heatwaves, and uncovered their corporate beneficial owners and shareholders. Despite some data gaps, we identified key countries, companies, and shareholders exposed to tipping risk. We also outline the potential challenges and opportunities that these actors may face if marine ecosystems shift to less productive states. |
| title | Identifying companies and financial actors exposed to marine tipping points |
| topic | Computational Engineering, Finance, and Science |
| url | https://arxiv.org/abs/2411.10307 |