Comment on ‘In complexity we trust: learning from the socialist calculation debate for ecosystem management’

Abstract Using a metaphor based on a historical debate between socialist and free-market economists, Salliou and Stritih ( Environ. Res. Lett. 18 151001) advocate for decentralizing environmental management to harness emergent complexity and promote ecosystem health. Concerningly, however, their acc...

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Published inEnvironmental research letters Vol. 19; no. 1; pp. 18002 - 18008
Main Authors Bingham, Logan Robert, Van Kleunen, Lucy, Kolisnyk, Bohdan, Nahorna, Olha, Tupinambà-Simões, Frederico, Reynolds, Keith, Yousefpour, Rasoul, Knoke, Thomas
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.01.2024
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Summary:Abstract Using a metaphor based on a historical debate between socialist and free-market economists, Salliou and Stritih ( Environ. Res. Lett. 18 151001) advocate for decentralizing environmental management to harness emergent complexity and promote ecosystem health. Concerningly, however, their account seems to leave little room for top-down processes like government-led sustainability programs or centrally-planned conservation initiatives, the cornerstone of the post-2020 biodiversity framework. While we appreciate their call for humbleness, we offer a few words in defense of planning. Drawing on evidence from ecology, economics, and systems theory, we argue that (1) more complexity is not always better; (2) even if it were, mimicking minimally-regulated markets is probably not the best way to get it; and (3) sophisticated decision support tools can support humble planning under uncertainty. We sketch a re-interpretation of the socialist calculation debate that highlights the role of synthesis and theoretical pluralism. Rather than abandoning big-picture thinking, scientists must continue the difficult work of strengthening connections between and across multiple social, ecological, and policy scales.
Bibliography:ERL-116345.R1
ISSN:1748-9326
1748-9326
DOI:10.1088/1748-9326/ad0efb