Biodiversity–production feedback effects lead to intensification traps in agricultural landscapes

Intensive agriculture with high reliance on pesticides and fertilizers constitutes a major strategy for ‘feeding the world’. However, such conventional intensification is linked to diminishing returns and can result in ‘intensification traps’—production declines triggered by the negative feedback of...

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Veröffentlicht in:Nature ecology & evolution 2024-04, Vol.8 (4), p.752-760
Hauptverfasser: Burian, Alfred, Kremen, Claire, Wu, James Shyan-Tau, Beckmann, Michael, Bulling, Mark, Garibaldi, Lucas Alejandro, Krisztin, Tamás, Mehrabi, Zia, Ramankutty, Navin, Seppelt, Ralf
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Sprache:eng
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Zusammenfassung:Intensive agriculture with high reliance on pesticides and fertilizers constitutes a major strategy for ‘feeding the world’. However, such conventional intensification is linked to diminishing returns and can result in ‘intensification traps’—production declines triggered by the negative feedback of biodiversity loss at high input levels. Here we developed a novel framework that accounts for biodiversity feedback on crop yields to evaluate the risk and magnitude of intensification traps. Simulations grounded in systematic literature reviews showed that intensification traps emerge in most landscape types, but to a lesser extent in major cereal production systems. Furthermore, small reductions in maximal production (5–10%) could be frequently transmitted into substantial biodiversity gains, resulting in small-loss large-gain trade-offs prevailing across landscape types. However, sensitivity analyses revealed a strong context dependence of trap emergence, inducing substantial uncertainty in the identification of optimal management at the field scale. Hence, we recommend the development of case-specific safety margins for intensification preventing double losses in biodiversity and food security associated with intensification traps. Conventional agricultural intensification can lead to ‘traps’ where production actually declines because of biodiversity loss. By integrating case study archetypes, literature review and simulations, the authors show what systems are at risk of traps and how these risks can be limited.
ISSN:2397-334X
2397-334X
DOI:10.1038/s41559-024-02349-0