The distribution of environmental pressures from global dietary shift DOI Creative Commons
Joseph M DeCesaro, Edward H. Allison, Gage Clawson

et al.

Environmental Research Letters, Journal Year: 2024, Volume and Issue: 19(12), P. 124006 - 124006

Published: Oct. 9, 2024

Abstract The production and consumption of food is one the main drivers environmental change globally. Meanwhile, many populations remain malnourished due to insufficient or unhealthy diets. Increasingly, dietary shifts are proposed as a means address both health concerns. We have limited understanding how could alter where produced consumed these changes would affect distribution pressures globally across different groups people. Here we combine new flow data linking producing consuming country with estimate global shift each four diets (Indian, EAT-Lancet, Mediterranean, mean Food Based Dietary Guidelines (FBDGs)) at global, income group, level. Globally, cumulative decrease under Indian, Mediterranean scenarios increase FBDGs. On average, low countries their while high pressures, typically pressures. Increases in likely nutritional inadequacy current corresponding increases quantities our diet scenarios. Despite increases, believe that three out simulated can be seen net benefit by decreasing adequately feed populations. Additionally, considering principles fairness applied, some nations more responsible for causing historical should shoulder change. To facilitate equitable diets, resources, capacity, knowledge sharing sustainable agricultural practices critical minimize incur

Language: Английский

LIFE: A metric for mapping the impact of land-cover change on global extinctions DOI Creative Commons
Alison Eyres, Thomas Ball,

Michael Dales

et al.

Philosophical Transactions of the Royal Society B Biological Sciences, Journal Year: 2025, Volume and Issue: 380(1917)

Published: Jan. 9, 2025

Human-driven habitat loss is recognized as the greatest cause of biodiversity crisis, yet to date we lack robust, spatially explicit metrics quantifying impacts anthropogenic changes in extent on species’ extinctions. Existing either fail consider species identity or focus solely recent losses. The persistence score approach developed by Durán et al . (Durán al. 2020 Methods Ecol. Evol 11 , 910–921 (doi:10.1111/2041-210X.13427) represented an important development combining ecologies and land-cover data while considering cumulative non-linear impact past probability extinction. However, it computationally demanding, limiting its global use application. Here couple with high-performance computing generate maps what term LIFE (Land-cover change Impacts Future Extinctions) metric for 30 875 terrestrial vertebrates at 1 arc-min resolution (3.4 km 2 equator). These provide quantitative estimates, first time, marginal expected number extinctions (both increases decreases) caused converting remaining natural vegetation agriculture, restoring farmland habitat. We demonstrate statistically that this integrates information richness, endemism loss. Our resulting can be used scales from 0.5–1000 offer unprecedented opportunities estimate diverse actions affect land cover, individual dietary choices through protected area development. This article part discussion meeting issue ‘Bending curve towards nature recovery: building Georgina Mace's legacy a biodiverse future’.

Language: Английский

Citations

3
LIFE: A metric for quantitively mapping the impact of land-cover change on global extinctions DOI Creative Commons
Alison Eyres, Thomas Ball,

Michael Dales

et al.

Published: April 8, 2024

Human-driven habitat loss is recognised as the greatest cause of biodiversity yet to date we lack robust, spatially explicit metrics quantifying impacts anthropogenic changes in extent on species’ extinctions. Existing either fail consider species identity or focus solely recent losses. The persistence score approach developed by Durán et al. (2020) (1) represented an important development combining ecologies and land-cover data whilst considering cumulative non-linear impact past probability extinction. However, it computationally demanding, limiting its global use application. Here couple with high-performance computing generate maps what term LIFE (Land-cover change Impacts Future Extinctions) metric for 29772 terrestrial vertebrates at 1 arc-minute resolution (3.4km2 equator). These provide quantitative estimates, first time, marginal expected number extinctions (both increases decreases) caused converting remaining natural vegetation agriculture, (2) restoring farmland habitat. We demonstrate statistically that this integrates information richness, endemism, loss. Our resulting can be used 10% certainty scales from 0.5-1000km2, offer unprecedented opportunities estimate diverse actions land cover, individual dietary choices through protected area development.

Language: Английский

Citations

4
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
The distribution of environmental pressures from global dietary shift DOI Creative Commons
Joseph M DeCesaro, Edward H. Allison, Gage Clawson

et al.

Environmental Research Letters, Journal Year: 2024, Volume and Issue: 19(12), P. 124006 - 124006

Published: Oct. 9, 2024

Abstract The production and consumption of food is one the main drivers environmental change globally. Meanwhile, many populations remain malnourished due to insufficient or unhealthy diets. Increasingly, dietary shifts are proposed as a means address both health concerns. We have limited understanding how could alter where produced consumed these changes would affect distribution pressures globally across different groups people. Here we combine new flow data linking producing consuming country with estimate global shift each four diets (Indian, EAT-Lancet, Mediterranean, mean Food Based Dietary Guidelines (FBDGs)) at global, income group, level. Globally, cumulative decrease under Indian, Mediterranean scenarios increase FBDGs. On average, low countries their while high pressures, typically pressures. Increases in likely nutritional inadequacy current corresponding increases quantities our diet scenarios. Despite increases, believe that three out simulated can be seen net benefit by decreasing adequately feed populations. Additionally, considering principles fairness applied, some nations more responsible for causing historical should shoulder change. To facilitate equitable diets, resources, capacity, knowledge sharing sustainable agricultural practices critical minimize incur

Language: Английский

Citations

0