Abstract
Crop diversification is increasingly recognized as a strategy to stabilize national food production, yet the benefits of this approach may vary across nations due to the scale dependence of crop diversity and stability. Here we use crop production data from 131 nations from 1961 to 2020 to explore the spatial scale dependence of the crop diversity–stability relationship. Drawing on ecological theory and complementary analytical approaches, we find that as the total national harvested area increases, yield stability increases. Crop diversity stabilizes national yield stability, as does an increase in the number of farms, but these stabilizing effects are weaker in smaller countries. Our findings suggest that enhancing crop diversity at the national level may not provide a de facto universal strategy for increasing yield stability across all countries—with implications for national strategies promoting crop diversification to protect against food system shocks.
This is a preview of subscription content, access via your institution
Access options
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
$29.99 / 30 days
cancel any time
Subscribe to this journal
Receive 12 digital issues and online access to articles
$119.00 per year
only $9.92 per issue
Buy this article
- Purchase on SpringerLink
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
Similar content being viewed by others
Data availability
The sources of all data used in this study are referenced in the Methods and all raw data are freely accessible at the URLs provided. Source data are provided with this paper.
Code availability
The codes used for data preparation and analyses are available via GitHub at https://github.com/kklm500/NATFOOD-23060800.
References
Cottrell, R. S. et al. Food production shocks across land and sea. Nat. Sustain. 2, 130–137 (2019).
Iizumi, T. & Ramankutty, N. Changes in yield variability of major crops for 1981–2010 explained by climate change. Environ. Res. Lett. 11, 034003 (2016).
Lobell, D. B., Schlenker, W. & Costa-Roberts, J. Climate trends and global crop production since 1980. Science 333, 616–620 (2011).
Godfray, H. C. J. et al. Food security: the challenge of feeding 9 billion people. Science 327, 812–818 (2010).
Renard, D. & Tilman, D. National food production stabilized by crop diversity. Nature 571, 257–260 (2019).
Renard, D., Mahaut, L. & Noack, F. Crop diversity buffers the impact of droughts and high temperatures on food production. Environ. Res. Lett. 18, 045002 (2023).
Tilman, D., Balzer, C., Hill, J. & Befort, B. L. Global food demand and the sustainable intensification of agriculture. Proc. Natl Acad. Sci. USA 108, 20260–20264 (2011).
Knapp, S. & van der Heijden, M. G. A. A global meta-analysis of yield stability in organic and conservation agriculture. Nat. Commun. 9, 3632 (2018).
Lin, B. B. Resilience in agriculture through crop diversification: adaptive management for environmental change. BioScience 61, 183–193 (2011).
Nicholson, C. C., Emery, B. F. & Niles, M. T. Global relationships between crop diversity and nutritional stability. Nat. Commun. 12, 5310 (2021).
Wang, S. & Loreau, M. Ecosystem stability in space: α, β and γ variability. Ecol. Lett. 17, 891–901 (2014).
Tilman, D. The ecological consequences of changes in biodiversity: a search for general principles. Ecology 80, 1455–1474 (1999).
Liang, M. et al. Consistent stabilizing effects of plant diversity across spatial scales and climatic gradients. Nat. Ecol. Evol. 6, 1669–1675 (2022).
Thibaut, L. M. & Connolly, S. R. Understanding diversity–stability relationships: towards a unified model of portfolio effects. Ecol. Lett. 16, 140–150 (2013).
Mahaut, L., Violle, C. & Renard, D. Complementary mechanisms stabilize national food production. Sci. Rep. 11, 4922 (2021).
Tilman, D., Reich, P. B. & Knops, J. M. H. Biodiversity and ecosystem stability in a decade-long grassland experiment. Nature 441, 629–632 (2006).
Isbell, F. et al. Biodiversity increases the resistance of ecosystem productivity to climate extremes. Nature 526, 574–577 (2015).
Brooker, R. W. et al. Improving intercropping: a synthesis of research in agronomy, plant physiology and ecology. New Phytol. 206, 107–117 (2015).
Egli, L., Schröter, M., Scherber, C., Tscharntke, T. & Seppelt, R. Crop asynchrony stabilizes food production. Nature 588, E7–E12 (2020).
Raseduzzaman, M. & Jensen, E. S. Does intercropping enhance yield stability in arable crop production? A meta-analysis. Eur. J. Agron. 91, 25–33 (2017).
Wang, S. et al. An invariability–area relationship sheds new light on the spatial scaling of ecological stability. Nat. Commun. 8, 15211 (2017).
Delsol, R., Loreau, M. & Haegeman, B. The relationship between the spatial scaling of biodiversity and ecosystem stability. Glob. Ecol. Biogeogr. 27, 439–449 (2018).
Ramankutty, N. et al. Trends in global agricultural land use: implications for environmental health and food security. Annu. Rev. Plant Biol. 104, 789–815 (2018).
Wang, S., Lamy, T., Hallett, L. M. & Loreau, M. Stability and synchrony across ecological hierarchies in heterogeneous metacommunities: linking theory to data. Ecography 42, 1200–1211 (2019).
Meyer, R. S., DuVal, A. E. & Jensen, H. R. Patterns and processes in crop domestication: an historical review and quantitative analysis of 203 global food crops. New Phytol. 196, 29–48 (2012).
Tollenaar, M. & Lee, E. A. Yield potential, yield stability and stress tolerance in maize. Field Crops Res. 75, 161–169 (2002).
Khoury, C. K. et al. Increasing homogeneity in global food supplies and the implications for food security. Proc. Natl Acad. Sci. USA 111, 4001–4006 (2014).
Mahaut, L. et al. Matches and mismatches between the global distribution of major food crops and climate suitability. Proc. R. Soc. B 289, 20221542 (2022).
Ramankutty, N. et al. Trends in global agricultural land use: implications for environmental health and food security. Annu. Rev. Plant Biol. 69, 789–815 (2018).
Driscoll, A. W. et al. Divergent impacts of crop diversity on caloric and economic yield stability. Environ. Res. Lett. 17, 124015 (2022).
Aramburu Merlos, F. & Hijmans, R. J. The scale dependency of spatial crop species diversity and its relation to temporal diversity. Proc. Natl Acad. Sci. USA 117, 26176–26182 (2020).
Gonzalez, A. et al. Scaling-up biodiversity-ecosystem functioning research. Ecol. Lett. 23, 757–776 (2020).
Qiao, X. et al. Spatial asynchrony matters more than alpha stability in stabilizing ecosystem productivity in a large temperate forest region. Glob. Ecol. Biogeogr. 31, 1133–1146 (2022).
Loreau, M., Mouquet, N. & Gonzalez, A. Biodiversity as spatial insurance in heterogeneous landscapes. Proc. Natl Acad. Sci. USA 100, 12765–12770 (2003).
Leibold, M. A. et al. The metacommunity concept: a framework for multi-scale community ecology. Ecol. Lett. 7, 601–613 (2004).
Wang, S. & Loreau, M. Biodiversity and ecosystem stability across scales in metacommunities. Ecol. Lett. 19, 510–518 (2016).
Pinheiro, J. C., Bates, D. J., DebRoy, S. & Sakar, D. nlme: linear and nonlinear mixed effects models. R version 3.1-160 https://CRAN.R-project.org/package=nlme (2021).
Lefcheck, J. S. piecewiseSEM: piecewise structural equation modelling in r for ecology, evolution, and systematics. Meth. Ecol. Evol. 7, 573–579 (2016).
Mehrabi, Z. Likely decline in the number of farms globally by the middle of the century. Nat. Sustain. 6, 949–954 (2023).
Wei, D., Gephart, J. A., Iizumi, T., Ramankutty, N. & Davis, K. F. Key role of planted and harvested area fluctuations in US crop production shocks. Nat. Sustain. 6, 1177–1185 (2023).
Hodapp, D. et al. Individual species and site dynamics are the main drivers of spatial scaling of stability in aquatic communities. Front. Ecol. Evol. https://doi.org/10.3389/fevo.2023.864534 (2023).
Hong, P. et al. Functional traits and environment jointly determine the spatial scaling of population stability in North American birds. Ecology https://doi.org/10.1002/ecy.3973 (2023).
Doak, D. F. et al. The statistical inevitability of stability–diversity relationships in community ecology. Am. Nat. 151, 264–276 (1998).
Loreau, M. et al. Biodiversity as insurance: from concept to measurement and application. Biol. Rev. 96, 2333–2354 (2021).
Zhu, Y. et al. Genetic diversity and disease control in rice. Nature 406, 718–722 (2000).
Chai, Y., Pardey, P. G. & Silverstein, K. A. Scientific selection: a century of increasing crop varietal diversity in US wheat. Proc. Natl Acad. Sci. USA 119, e2210773119 (2022).
Li, C. et al. Syndromes of production in intercropping impact yield gains. Nat. Plants 6, 653–660 (2020).
Scheiner, S. M. et al. The underpinnings of the relationship of species richness with space and time. Ecol. Monogr. 81, 195–213 (2011).
Egli, L., Mehrabi, Z. & Seppelt, R. More farms, less specialized landscapes, and higher crop diversity stabilize food supplies. Environ. Res. Lett. 16, 055015 (2021).
Mehrabi, Z. et al. Research priorities for global food security under extreme events. One Earth 5, 756–766 (2022).
Sacks, W. J., Deryng, D., Foley, J. A. & Ramankutty, N. Crop planting dates: an analysis of global patterns. Glob. Ecol. Biogeogr. 19, 607–620 (2010).
Harris, I., Osborn, T. J., Jones, P. & Lister, D. Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset. Sci. Data 7, 109 (2020).
Ramankutty, N., Evan, A. T., Monfreda, C. & Foley, J. A. Farming the planet: 1. geographic distribution of global agricultural lands in the year 2000. Glob. Biogeochem. Cycles 22, GB1003 (2008).
Hector, A. et al. General stabilizing effects of plant diversity on grassland productivity through population asynchrony and overyielding. Ecology 91, 2213–2220 (2010).
Hill, M. O. Diversity and evenness: a unifying notation and its consequences. Ecology 54, 427–432 (1973).
Faraway, J. J. Linear Models with R (Chapman & Hall (CRC Press), 2005).
Guo, X. et al. Climate warming leads to divergent succession of grassland microbial communities. Nat. Clim. Change 8, 813–818 (2018).
R Core Team R: A Language and Environment for Statistical Computing (R Foundation for Statistical Computing, 2022).
Acknowledgements
This work was supported by the National Natural Science Foundation of China (32122053) and the National Key Research and Development Program of China (2022YFF0802103). S.W. and B.M. acknowledge funding from the National Natural Science Foundation of China (31988102, 32201301) and China Postdoctoral Science Foundation (2022M720257). We thank all supporters and maintainers of the public databases used in our study.
Author information
Authors and Affiliations
Contributions
S.W., B.M. and Z.M. designed the study, B.M. and Q.Y. conducted the data preparation and analysis, B.M. and S.W. wrote the paper and Z.M. contributed substantially to the revision.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Peer review
Peer review information
Nature Food thanks Delphine Renard, and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Extended data
Extended Data Fig. 1 The effects of total harvested area on national yield stability and its main determinants.
The effects of total harvested area on (a) national yield stability, (b) national average crop stability, (c) national crop asynchrony, (d) effective crop diversity, (e) precipitation instability, and (f) temperature instability. Black lines with grey shades represent linear model fits and 95% confidence intervals. Solid lines show significant relationships (P < 0.05); dashed lines show nonsignificant relationships. Linear model results are shown in each panel. Sample size (n) is 673. Two-sided t-test was used for statistical testing. ***P < 0.001; **P < 0.01; *P < 0.05.
Extended Data Fig. 2 The stability-area relationships for six major crops.
Wheat (a), rice (b), maize (c), soybeans (d), barley (e) and sorghum (f). Black lines with grey shades represent linear model fits and 95% confidence intervals. Solid lines show significant relationships (P < 0.05); dashed lines show nonsignificant relationships. Linear model results and sample size (n) are shown in each panel. Two-sided t-test was used for statistical testing. ***P < 0.001; **P < 0.01; *P < 0.05.
Extended Data Fig. 3 The potential relationships behind the scale dependency of the stabilizing effect of crop diversity.
Shown are the relationships between (a) the number of farms and effective crop diversity, (b) crop diversity and the average area of crops, as well as (c) the number of farms and the average stability of individual crops, (d) the average area of crops and the average stability of individual crops. Coloured lines with shades represent fits from linear regressions and 95% confidence intervals. Solid lines show significant relationships (P < 0.05); dashed lines show nonsignificant relationships. Linear model results are shown in each panel. Sample size (n) is 673. Two-sided t-test was used for statistical testing. ***P < 0.001; **P < 0.01; *P < 0.05. The marginal histograms show the frequency distribution of respective variables within each country group.
Extended Data Fig. 4 A hypothesized structural equation modelling (SEM).
illustrating the direct and indirect effects of total harvested area and crop diversity on national yield stability. References about the rationales of each pathway in the SEM are provided. Details are described in method section.
Supplementary information
Supplementary Information
Supplementary Figs. 1–4 and Tables 1–4.
Source data
Source Data Figs. 1 and 2, Extended Data Figs. 1 and 3 and Extended Data Tables 1–3.
This file includes all source data for Figs. 1 and 2, Extended Data Figs. 1 and 3 and Extended Data Tables 1–3.
Source Data Fig. 3
This file includes the source data for Fig. 3.
Source Data Extended Data Fig. 2
This file includes the source data for Extended Data Fig. 2.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Meng, B., Yang, Q., Mehrabi, Z. et al. Larger nations benefit more than smaller nations from the stabilizing effects of crop diversity. Nat Food 5, 491–498 (2024). https://doi.org/10.1038/s43016-024-00992-1
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1038/s43016-024-00992-1