The relationship between forest cover and diet quality: a case study of rural southern Malawi
2019
Hall, C | Macdiarmid, J I | Matthews, R B | Smith, P | Hubbard, S F | Dawson, T P | Natural Environment Research Council | University of Dundee | University of Aberdeen | The James Hutton Institute | University of Aberdeen | University of Dundee | King's College London | 0000-0003-4864-7754
The importance of forests in supporting the well-being of poor rural communities cannot be overstated, not only for improving food security but also for biodiversity conservation. For many people living in developing regions of the world, forests provide healthy and nutrient-dense foods which can improve overall diet quality and act as a safety net during times of hardship. Forests can also provide a source of income and facilitate certain agricultural practices, potentially allowing for poverty alleviation and mitigation. This study examined whether there was a relationship between forest cover and diet quality at the household level in rural southern Malawi. Nutrition data for 2084 households, collected as part of the 2010/11 Third Integrated Household Survey for Malawi (IHS3), were compared with a satellite-based land-cover map of Malawi. Households located in areas with a high percentage forest cover had significantly improved vitamin A adequacy compared to households in less forested areas. Also, vitamin A intake was significantly improved by consumption of wild plant foods. Forest cover was not associated with any other indicators of diet quality, but a number of social and demographic factors were significant determinants, including household size, education and access to markets. Further investigation of these associations is imperative at a time when forests are being cleared at an alarming rate to make way for agricultural production.
Afficher plus [+] Moins [-]Mots clés AGROVOC
Informations bibliographiques
Cette notice bibliographique a été fournie par University of Stirling
Découvrez la collection de ce fournisseur de données dans AGRIS