Using artificial intelligence to optimize ecological restoration for climate and biodiversity DOI Creative Commons
Daniele Silvestro,

Stefano Goria,

Ben Groom

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 6, 2025

Abstract The restoration of degraded ecosystems can provide important contributions to help mitigate climate change and bend the curve biodiversity loss. Depending on primary objective – such as maximizing carbon storage, protecting threatened species, or reducing overall costs different spatial priorities have been identified at global regional levels. Funding mechanisms support work comprise public sources, philanthropy, private sector, including sales credits. However, effectively exploring tradeoffs between objectives estimating price credits design financially viable projects remain challenging. Here we harness power artificial intelligence in our software CAPTAIN, which further develop identify for ecological that maximize multiple once allows a robust evaluation outcomes. We find through series realistic simulations even low moderate consideration leads selection restored areas substantially improve conservation while resulting relatively small decrease total captured. propose data-driven valuation relation enabling blended financial model could efforts previously excluded economic reasons. This study shows how use methodological framework lead significant improvements outcomes nature, minimizing costs.

Language: Английский

Choosing fit-for-purpose biodiversity impact indicators for agriculture in the Brazilian Cerrado ecoregion DOI Creative Commons
Gabriela Rabeschini, U. Martin Persson, Chris West

et al.

Nature Communications, Journal Year: 2025, Volume and Issue: 16(1)

Published: Feb. 20, 2025

Understanding and acting on biodiversity loss requires robust tools linking impacts to land use change, the biggest threat terrestrial biodiversity. Here we estimate agriculture's impact Brazilian Cerrado's using three approaches-countryside Species-Area Relationship, Species Threat Abatement Restoration Habitat Index. By same input data, show how indicator scope design affects assessments resulting decision-support. All indicators agriculture expansion's increasing pressure Results suggest that metrics are complementary, providing distinctly different insight into change drivers impacts. Meaningful applications of therefore require compatibility between focal questions choice regarding temporal, spatial, ecological perspectives drivers. Backward-looking analyses focused historical accountability best served by countryside-Species Area Relationship Forward-looking risk hotspots global extinctions mitigation Restoration.

Language: Английский

Citations

1
What is a unit of nature? Measurement challenges in the emerging biodiversity credit market DOI Creative Commons
Hannah S. Wauchope, Sophus zu Ermgassen, Julia P. G. Jones

et al.

Proceedings of the Royal Society B Biological Sciences, Journal Year: 2024, Volume and Issue: 291(2036)

Published: Dec. 1, 2024

Bending the curve of biodiversity loss requires business and financial sectors to disclose reduce their impacts help fund nature recovery. This has sparked interest in developing generalizable, standardized measurements biodiversity-essentially a 'unit nature'. We examine how such units are defined rapidly growing voluntary credits market present framework exploring is quantified, delivery positive outcomes detected attributed investment number issued adjusted account for uncertainties. demonstrate that there deep uncertainties throughout process question if benefits credits, other efforts abstract single unit, outweigh harms. Credits can only be they used with unprecedentedly strict regulation ensures businesses mostly avoid negative purchased quantify contributions rather than as direct offsets. While may role markets attracting conservation funding, will ever part solution, especially many aspects cannot reduced unit.

Language: Английский

Citations

4
Assessing ecosystem integrity in protected areas: A systematic review of methods and applications DOI

Yunshuang Feng,

Yue Cao, Marcus Chan

et al.

Biological Conservation, Journal Year: 2025, Volume and Issue: 305, P. 111057 - 111057

Published: March 9, 2025

Language: Английский

Citations

0
Using artificial intelligence to optimize ecological restoration for climate and biodiversity DOI Creative Commons
Daniele Silvestro,

Stefano Goria,

Ben Groom

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 6, 2025

Abstract The restoration of degraded ecosystems can provide important contributions to help mitigate climate change and bend the curve biodiversity loss. Depending on primary objective – such as maximizing carbon storage, protecting threatened species, or reducing overall costs different spatial priorities have been identified at global regional levels. Funding mechanisms support work comprise public sources, philanthropy, private sector, including sales credits. However, effectively exploring tradeoffs between objectives estimating price credits design financially viable projects remain challenging. Here we harness power artificial intelligence in our software CAPTAIN, which further develop identify for ecological that maximize multiple once allows a robust evaluation outcomes. We find through series realistic simulations even low moderate consideration leads selection restored areas substantially improve conservation while resulting relatively small decrease total captured. propose data-driven valuation relation enabling blended financial model could efforts previously excluded economic reasons. This study shows how use methodological framework lead significant improvements outcomes nature, minimizing costs.

Language: Английский

Citations

0