Foley, J. A. et al. Solutions for a cultivated planet. Nature 478, 337–342 (2011).
Godfray, H. C. J. et al. Food security: the challenge of feeding 9 billion people. Science 327, 812–818 (2010).
van der Plas, F. et al. Jack-of-all-trades effects drive biodiversity–ecosystem multifunctionality relationships in European forests. Nat. Commun. 7, 11109 (2016).
Fanin, N. et al. Consistent effects of biodiversity loss on multifunctionality across contrasting ecosystems. Nat. Ecol. Evol. 2, 269–278 (2018).
Hanley-Cook, G. T. et al. Food biodiversity: quantifying the unquantifiable in human diets. Crit. Rev. Food Sci. Nutr. 63, 7837–7851 (2022).
Golden, C. D. et al. Aquatic foods to nourish nations. Nature 598, 315–320 (2021).
Hicks, C. C. et al. Harnessing global fisheries to tackle micronutrient deficiencies. Nature 574, 95–98 (2019).
Hilborn, R. et al. Effective fisheries management instrumental in improving fish stock status. Proc. Natl Acad. Sci. USA 117, 2218–2224 (2020).
Bernhardt, J. R. & O’Connor, M. I. Aquatic biodiversity enhances multiple nutritional benefits to humans. Proc. Natl Acad. Sci. USA 118, e1917487118 (2021).
Heilpern, S. A. et al. Species trait diversity sustains multiple dietary nutrients supplied by freshwater fisheries. Ecol. Lett. 26, 1887–1897 (2023).
Walker, B. et al. Response diversity as a sustainability strategy. Nat. Sustain. https://doi.org/10.1038/s41893-022-01048-7 (2023).
Heilpern, S. A. et al. Substitution of inland fisheries with aquaculture and chicken undermines human nutrition in the Peruvian Amazon. Nat. Food 2, 192–197 (2021).
Belton, B. & Thilsted, S. H. Fisheries in transition: food and nutrition security implications for the global South. Glob. Food Sec. 3, 59–66 (2014).
van Dooren, C. A review of the use of linear programming to optimize diets, nutritiously, economically and environmentally. Front. Nutr. 5, 48 (2018).
Fats and Fatty Acids in Human Nutrition: Report of an Expert Consultation (FAO, 2010).
Vitamin and Mineral Requirements in Human Nutrition (WHO and FAO, 2004).
Yachi, S. & Loreau, M. Biodiversity and ecosystem productivity in a fluctuating environment: the insurance hypothesis. Proc. Natl Acad. Sci. USA 96, 1463–1468 (1999).
Heilpern, S. A. et al. Declining diversity of wild-caught species puts dietary nutrient supplies at risk. Sci. Adv. 7, eabf9967 (2021).
Mouillot, D., Graham, N. A. J., Villéger, S., Mason, N. W. H. & Bellwood, D. R. A functional approach reveals community responses to disturbances. Trends Ecol. Evol. 28, 167–177 (2013).
Olden, J. D., Hogan, Z. S. & Zanden, M. J. V. Small fish, big fish, red fish, blue fish: size-biased extinction risk of the world’s freshwater and marine fishes. Glob. Ecol. Biogeogr. 16, 694–701 (2007).
Comte, L. & Olden, J. D. Climatic vulnerability of the world’s freshwater and marine fishes. Nat. Clim. Change 7, 718–722 (2017).
Robinson, J. P. W. et al. Small pelagic fish supply abundant and affordable micronutrients to low- and middle-income countries. Nat. Food 3, 1075–1084 (2022).
Hutchings, J. A., Myers, R. A., García, V. B., Lucifora, L. O. & Kuparinen, A. Life-history correlates of extinction risk and recovery potential. Ecol. Appl. 22, 1061–1067 (2012).
Garcia, S. M. et al. Reconsidering the consequences of selective fisheries. Science 335, 1045–1047 (2012).
Duffy, J. E., Lefcheck, J. S., Stuart-Smith, R. D., Navarrete, S. A. & Edgar, G. J. Biodiversity enhances reef fish biomass and resistance to climate change. Proc. Natl Acad. Sci. USA 113, 6230–6235 (2016).
Ross, S. R. P.-J., Petchey, O. L., Sasaki, T. & Armitage, D. W. How to measure response diversity. Methods Ecol. Evol. 14, 1150–1167 (2023).
Gephart, J. A. et al. Globalization of wild capture and farmed aquatic foods. Nat. Commun. 15, 8026 (2024).
Fiorella, K. J., Bageant, E. R., Thilsted, S. H. & Heilpern, S. A. Commercially traded fish portfolios mask household utilization of biodiversity in wild food systems. Proc. Natl Acad. Sci. USA 121, e2403691121 (2024).
Cisneros-Montemayor, A. M., Pauly, D., Weatherdon, L. V. & Ota, Y. A global estimate of seafood consumption by coastal indigenous peoples. PLoS ONE 11, e0166681 (2016).
Heilpern, S. A. et al. Nutritional challenges of substituting farmed animals for wild fish in human diets. Environ. Res. Lett. 18, 114030 (2023).
Ambikapathi, R. et al. Global food systems transitions have enabled affordable diets but had less favourable outcomes for nutrition, environmental health, inclusion and equity. Nat. Food 3, 764–779 (2022).
Loken, B., Dhar, M. & Rapando, N. P. Healthy and sustainable diets must be culturally acceptable too. Nat. Food 5, 723–724 (2024).
Robinson, J. P. W. et al. Managing fisheries for maximum nutrient yield. Fish Fish. 23, 800–811 (2022).
Lynch, A. J. et al. Inland fish and fisheries integral to achieving the Sustainable Development Goals. Nat. Sustain. https://doi.org/10.1038/s41893-020-0517-6 (2020).
Halpern, B. S. et al. Opinion: putting all foods on the same table: achieving sustainable food systems requires full accounting. Proc. Natl Acad. Sci. USA 116, 18152–18156 (2019).
Carmona, C. P. et al. Erosion of global functional diversity across the tree of life. Sci. Adv. 7, eabf2675 (2021).
Díaz, S. et al. The global spectrum of plant form and function. Nature 529, 167–171 (2016).
Vaitla, B. et al. Predicting nutrient content of ray-finned fishes using phylogenetic information. Nat. Commun. 9, 3742 (2018).
Schiettekatte, N. M. D. et al. Biological trade-offs underpin coral reef ecosystem functioning. Nat. Ecol. Evol. 6, 701–708 (2022).
Vanni, M. J. & McIntyre, P. B. Predicting nutrient excretion of aquatic animals with metabolic ecology and ecological stoichiometry: a global synthesis. Ecology 97, 3460–3471 (2016).
McIntyre, P. B., Liermann, C. A. R. & Revenga, C. Linking freshwater fishery management to global food security and biodiversity conservation. Proc. Natl Acad. Sci. USA 113, 12880–12885 (2016).
Miranda, R. et al. Monitoring extinction risk and threats of the world’s fishes based on the Sampled Red List Index. Rev. Fish Biol. Fish. 32, 975–991 (2022).
Froese, R. & Pauly, D. FishBase version 02/2019 (2019); www.fishbase.org
Csárdi, G. & Berkelaar, M. lpSolve: Interface to ‘Lp_solve’ v. 5.5 to Solve Linear/Integer Programs (2024).
Laliberté, E. & Legendre, P. A distance-based framework for measuring functional diversity from multiple traits. Ecology 91, 299–305 (2010).
Dinno, A. paran: Horn’s Test of Principal Components/Factors (2018).
Baselga, A. & Orme, C. D. L. betapart: an R package for the study of beta diversity. Methods Ecol. Evol. 3, 808–812 (2012).
R Core Team R: A language and environment for statistical computing (R Foundation for Statistical Computing, 2020).
Heilpern, S. et al. Data and code for ‘Leveraging biodiversity to maximize nutrition and resilience of global fisheries’. Figshare https://doi.org/10.6084/m9.figshare.24615465 (2025).