Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

Wild foods contribute to women’s higher dietary diversity in India

Abstract

Wild foods, from forests and common lands, can contribute to food and nutrition security. Most previous studies have established correlations between wild food consumption and children’s dietary diversity in Africa, but other groups and geographic contexts remain understudied. Here a rigorous quasi-experimental method was combined with monthly interval data to assess the contribution of wild foods to women’s diets. We collected 24 h diet recall data monthly, from November 2016 to November 2017, from 570 households in East India. We found that wild foods contributed positively to diets, especially in June and July (when consumption of wild foods was highest). Women who consumed wild foods had higher average dietary diversity scores (13% and 9% higher in June and July, respectively) and were more likely to consume nutrient-dense, dark-green leafy vegetables than those who did not. Our results underscore the importance of policies that increase knowledge of wild foods and protect people’s rights to access forests and other common lands for improved nutrition.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: The selected villages and the forests that surround them in Bankura and Palamu District.
Fig. 2: Percentage of women in the sample who consumed wild foods each month from November 2016 to November 2017.
Fig. 3: Comparison of the average DDS, MDD and consumption of dark-green leafy vegetables and other vitamin-A-rich fruits and vegetables of women who ate wild foods compared with a matched control of women who did not eat wild foods.

Similar content being viewed by others

Data availability

The data that support the findings of this manuscript are available at https://openprairie.sdstate.edu/nrm_datasets/6/.

Code availability

The codes used for this analysis are available at https://openprairie.sdstate.edu/nrm_datasets/6/.

References

  1. The State of Food Security and Nutrition in the World 2022. Repurposing Food and Agricultural Policies to Make Healthy Diets More Affordable (FAO, IFAD, UNICEF, WFP and WHO, 2022); https://doi.org/10.4060/cc0639en

  2. Black, R. E. et al. Maternal and child undernutrition: global and regional exposures and health consequences. Lancet 371, 243–260 (2008).

    Article  PubMed  Google Scholar 

  3. Victora, C. G. et al. Revisiting maternal and child undernutrition in low-income and middle-income countries: variable progress towards an unfinished agenda. Lancet https://doi.org/10.1016/S0140-6736(21)00394-9 (2021).

  4. Stevens, G. A. et al. Micronutrient deficiencies among preschool-aged children and women of reproductive age worldwide: a pooled analysis of individual-level data from population-representative surveys. Lancet Glob. Health 10, e1590–e1599 (2022).

  5. Von Grebmer, K. et al. 2017 Global Hunger Index: The Inequalities of Hunger (Int. Food Policy Res. Inst., 2017); https://doi.org/10.2499/9780896292710

  6. IPCC Climate Change and Land: An IPCC Special Report on Climate Change, Desertification, Land Degradation, Sustainable Land Management, Food Security, and Greenhouse Gas Fluxes in Terrestrial Ecosystems (Cambridge Univ. Press, 2019).

  7. Miller, D. C., Mansourian, S. & Wildburger, C. Forests, Trees and The Eradication of Poverty: Potential and Limitations: A Global Assessment Report IUFRO World Series Vol. 39 (IUFRO, 2020).

  8. Newton, P., Miller, D. C., Byenkya, M. A. A. & Agrawal, A. Who are forest-dependent people? A taxonomy to aid livelihood and land use decision-making in forested regions. Land Use Policy 57, 388–395 (2016).

    Article  Google Scholar 

  9. Newton, P., Kinzer, A. T., Miller, D. C., Oldekop, J. A. & Agrawal, A. The number and spatial distribution of forest-proximate people globally. One Earth 3, 363–370 (2020).

    Article  ADS  Google Scholar 

  10. India State of Forest Report (FSI, 2019).

  11. Sustainable Forestry for Food Security and Nutrition. A Report by the High Level Panel of Experts on Food Security and Nutrition of the Committee on World Food Security HLPE Report 11 (FAO, 2017).

  12. Rowland, D., Ickowitz, A., Powell, B., Nasi, R. & Sunderland, T. Forest foods and healthy diets: quantifying the contributions. Environ. Conserv. 44, 102–114 (2017).

    Article  Google Scholar 

  13. Powell, B., Maundu, P., Kuhnlein, H. V. & Johns, T. Wild foods from farm and forest in the East Usambara Mountains, Tanzania. Ecol. Food Nutr. 52, 451–478 (2013).

    Article  PubMed  Google Scholar 

  14. Bharucha, Z. & Pretty, J. The roles and values of wild foods in agricultural systems. Philos. Trans. R. Soc. B 365, 2913–2926 (2010).

    Article  Google Scholar 

  15. Avik Ray, R. R. The leafy greens of India—their diversity, pattern of consumption, and overriding implication on food and nutrition security. Agroecol. Sustain. Food Syst. 46, 432–451 (2022).

    Article  Google Scholar 

  16. Wunder, S., Angelsen, A. & Belcher, B. Forests, livelihoods, and conservation: broadening the empirical base. World Dev. 64, S1–S11 (2014).

  17. Vinceti, B. et al. The contribution of forests and trees to sustainable diets. Sustainability 5, 4797–4824 (2013).

    Article  Google Scholar 

  18. Pandey, D. K., Momin, K. C., Dubey, S. K. & Adhiguru, P. Biodiversity in agricultural and food systems of jhum landscape in the West Garo Hills, North-eastern India. Food Security 14, 791–804 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  19. Olesen, R. S., Hall, C. M. & Rasmussen, L. V. Forests support people’s food and nutrition security through multiple pathways in low- and middle-income countries. One Earth 5, 1342–1353 (2022).

    Article  ADS  Google Scholar 

  20. Narayanan, S. Food security from free collection of foods: evidence from India. Food Policy 100, 101998 (2021).

    Article  Google Scholar 

  21. Gergel, S. E. et al. Conceptual links between landscape diversity and diet diversity: a roadmap for transdisciplinary research. BioScience 70, 563–575 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  22. Galway, L. P., Acharya, Y. & Jones, A. D. Deforestation and child diet diversity: a geospatial analysis of 15 Sub-Saharan African countries. Health Place 51, 78–88 (2018).

    Article  PubMed  Google Scholar 

  23. Ickowitz, A., Powell, B., Salim, M. A., & Sunderland, T. C. H. Dietary quality and tree cover in Africa. Glob. Environ. Change 24, 287–294 (2014).

    Article  Google Scholar 

  24. Rasolofoson, R. A., Hanauer, M. M., Pappinen, A., Fisher, B. & Ricketts, T. H. Impacts of forests on children’s diet in rural areas across 27 developing countries. Sci. Adv. 4, eaat2853 (2018).

    Article  ADS  PubMed  PubMed Central  Google Scholar 

  25. Rasmussen, L. V. et al. Forest pattern, not just amount, influences dietary quality in five African countries. Glob. Food Security 25, 100331 (2020).

    Article  Google Scholar 

  26. Hall, C. M. et al. Deforestation reduces fruit and vegetable consumption in rural Tanzania. Proc. Natl Acad. Sci. USA 119, e2112063119 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Raghunathan, K., Headey, D. & Herforth, A. Affordability of Nutritious Diets in Rural India (Elsevier, 2021).

  28. Bharucha, Z. & Pretty, J. The roles and values of wild foods in agricultural systems. Philos. Trans. R. Soc. B 365, 2913–2926 (2010).

    Article  Google Scholar 

  29. Blaney, S., Beaudry, M. & Latham, M. Contribution of natural resources to nutritional status in a protected area of Gabon. Food Nutr. Bull. 30, 49–62 (2009).

    Article  PubMed  Google Scholar 

  30. Boedecker, J., Termote, C., Assogbadjo, A. E., Van Damme, P. & Lachat, C. Dietary contribution of wild edible plants to women’s diets in the buffer zone around the Lama forest, Benin—an underutilized potential. Food Security 6, 833–849 (2014).

    Article  Google Scholar 

  31. Yadav, R. K., Kalia, P., Kumar, R. & Jain, V. Antioxidant and nutritional activity studies of green leafy vegetables. Int. J. Agric. Food Sci. Technol. 4, 707–712 (2013).

    Google Scholar 

  32. Ghosh-Jerath, S., Singh, A., Magsumbol, M. S., Kamboj, P. & Goldberg, G. Exploring the potential of indigenous foods to address hidden hunger: nutritive value of indigenous foods of Santhal Tribal Community of Jharkhand, India. J. Hunger Environ. Nutr. 11, 548–568 (2016).

  33. Sunderland, T. C., & Vasquez, W. Forest conservation, rights, and diets: untangling the issues. Front. For. Glob. Change 3 (2020).

  34. Oliveira Chaves, L. et al. Applicability of machine learning techniques in food intake assessment: a systematic review. Crit. Rev. Food Sci. Nutr. https://doi.org/10.1080/10408398.2021.1956425 (2021).

  35. Patnaik, S. PESA, the Forest Rights Act, and tribal rights in India. In Proc. International Conference on Poverty Reduction and Forests, 3–7 (Rights and Resources Initiative, 2007).

  36. Kumar, K., Singh, N. & Gira Rao, Y. Promise and performance of the Forest Rights Act. Econ. Polit. Wkly, 52, 40–3 (2017).

  37. WorldBank. PovcalNet: an online analysis tool for global poverty monitoring. PovcalNet (2019).

  38. Singh, K. & Kushwaha, C. Diversity of flowering and fruiting phenology of trees in a tropical deciduous forest in India. Ann. Bot. 97, 265–276 (2006).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Zavaleta, J. Women’s Role in Ensuring Seasonal Food Security in Rainfed India. PhD thesis, Univ. of Michigan (2019).

  40. Thorat, S. & Newman, K. S. Caste and economic discrimination: causes, consequences and remedies. Econ. Polit. Wkly, 42, 4121–4124 (2007).

  41. Bose, P., Bas, A. & van Dijk, H. ‘Forest governmentality’: a genealogy of subject-making of forest-dependent ‘scheduled tribes’ in India. Land Use Policy 29, 664–673 (2012).

    Article  Google Scholar 

  42. Tripathi, P. Tribes and forest: a critical appraisal of the tribal forest right in India. Res. J. Soc. Sci. Manag. 6, 1–8 (2016).

    Google Scholar 

  43. Champion, H. G. & Seth, S. K. A Revised Survey of the Forest Types of India (Manager of Publications, 1968).

  44. Agarwal, B. A Field of One’s Own (Cambridge Univ. Press, 1995).

  45. Chopra, K. & Dasgupta, P. Nature of household dependence on common pool resources: an empirical study. Econ. Polit. Wkly 43, 58–66 (2008).

    Google Scholar 

  46. Jodha, N. S. Common property resources and rural poor in dry regions of India. Econ. Polit. Wkly 21, 1169–1181 (1986).

    Google Scholar 

  47. Berkes, F., Davidson-Hunt, I. & Davidson-Hunt, K. Diversity of common property resource use and diversity of social interests in the western Indian Himalaya. Mt. Res. Dev., 18, 19–33 (1998).

  48. Nandi, R., Nedumaran, S., & Ravula, P. The interplay between food market access and farm household dietary diversity in low and middle income countries: a systematic review of literature. Glob. Food Security 28, 100484 (2021).

  49. The State of Food and Agriculture 2016. Climate Change, Agriculture, and Food Security (FAO, 2016).

  50. Verborgh, R. & De Wilde, M., Using OpenRefine (Packt Publishing Ltd, 2013).

  51. Minimum Dietary Diversity for Women. An Updated Guide to Measurement – From Collection to Action (FAO, 2021); https://doi.org/10.4060/cb3434en

  52. Martin-Prével, Y. et al. Moving Forward on Choosing a Standard Operational Indicator of Women’s Dietary Diversity (FAO, 2015).

  53. Stuart, E.A., King, G., Imai, K. & Ho, D., MatchIt: nonparametric preprocessing for parametric causal inference. J. Stat. Softw. https://doi.org/10.18637/jss.v042.i08 (2017).

  54. Diamond Alexis, S. J. S. Genetic matching for estimating causal effects: a general multivariate matching mehod for achieving balance in observational studies. Rev. Econ. Stat. 95, 932–945 (2013).

    Article  Google Scholar 

  55. King, G. & Nielsen, R. Why propensity scores should not be used for matching. Polit. Anal. 27, 435–454 (2019).

    Article  Google Scholar 

  56. Zeileis, A., Köll, S. & Graham, N. Various versatile variances: an object-oriented implementation of clustered covariances in R. J. Stat. Softw. 95, 1–36 (2020).

    Article  Google Scholar 

  57. Google Earth Engine Data Catalog, Sentinel-2. Google https://developers.google.com/earth-engine/datasets/catalog/sentinel-2 (2019).

  58. Google Earth Engine Data Catalog, Sentinel World Cover. Google https://developers.google.com/earth-engine/datasets/catalog/ESA_WorldCover_v100 (2020).

Download references

Acknowledgements

We thank F. Jalali and the Revitalizing Rainfed Agriculture Network for their logistical support collecting the data. We also acknowledge funding from the Borlaug Fellowship in Global Food Security Program; Marshall Weinberg Population, Development and Climate Change, Dow Environmental Sustainability Doctoral Fellowship; and from Rackham Graduate School at the University of Michigan. B.d.B. and L.V.R. were funded by the European Research Council (ERC) under the European Union’s Horizon 2020 Research and Innovation Programme (grant agreement no. 853222 FORESTDIET).

Author information

Authors and Affiliations

Authors

Contributions

J.Z.C. and A.C. facilitated data collection. J.Z.C., N.J.L., L.V.R., A.D.J. and A.C. developed the conceptual model for the paper. L.V.R. and N.J.L. did initial modelling and statistical analysis and matching analysis was completed by B.d.B. D.G. made maps. D.G., N.A. and A.C. provided cultural and historical context for the paper. All authors discussed the results and contributed to the final manuscript.

Corresponding author

Correspondence to Jennifer Zavaleta Cheek.

Ethics declarations

Competing interests

The authors declare no competing interests.

Peer review

Peer review information

Nature Food thanks Terry Sunderland, Erin Sills and Michaela Lo 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.

Supplementary information

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.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Cheek, J.Z., Lambrecht, N.J., den Braber, B. et al. Wild foods contribute to women’s higher dietary diversity in India. Nat Food 4, 476–482 (2023). https://doi.org/10.1038/s43016-023-00766-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s43016-023-00766-1

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing