Nature’s contribution to poverty alleviation, human wellbeing and the SDGs

Kate Schreckenberg; Mahesh Poudyal; Franziska  Kraft; Geoff Wells; Anamika Das; Suman Attiwilli; Sharachchandra Lele; Tim Daw; Carlos A. Torres-Vitolas; Siddappa Setty; Helen Adams; Sate Ahmad; Casey Ryan; Janet Fisher; Brian Robinson; Julia Jones; Katherine Homewood; Jevgeniy  Bluwstein; Aidan Keane; Celia Macamo; Lilian Mwihaki Mugi

Nature’s contribution to poverty alleviation, human wellbeing and the SDGs

Kate Schreckenberg, Mahesh Poudyal^*, Franziska Kraft, Geoff Wells, Anamika Das, Suman Attiwilli, Sharachchandra Lele, Tim Daw, Carlos A. Torres-Vitolas, Siddappa Setty, Helen Adams, Sate Ahmad, Casey Ryan, Janet Fisher, Brian Robinson, Julia Jones, Katherine Homewood, Jevgeniy Bluwstein, Aidan Keane, Celia MacamoLilian Mwihaki Mugi

^*Corresponding author for this work

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Abstract

Millions of households globally rely on uncultivated ecosystems for their livelihoods. However, much of the understanding about the broader contribution of uncultivated ecosystems to human wellbeing is still based on a series of small-scale studies due to limited availability of large-scale datasets. We pooled together 11 comparable datasets comprising 232 settlements and 10,971 households in ten low-and middle-income countries, representing forest, savanna and coastal ecosystems to analyse how uncultivated nature contributes to multi-dimensional wellbeing and how benefits from nature are distributed between households. The resulting dataset integrates secondary data on rural livelihoods, multidimensional human wellbeing, household demographics, resource tenure and social-ecological context, primarily drawing on nine existing household survey datasets and their associated contextual information together with selected variables, such as travel time to cities, population density, local area GDP and land use and land cover from existing global datasets. This integrated dataset has been archived with ReShare (UK Data Service) and will be useful for further analyses on nature-wellbeing relationships on its own or in combination with similar datasets.

Original language	English
Journal	Scientific Data
Publication status	Accepted/In press - 15 Jan 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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Nature4SDGs_Data_Paper_MS_for_submission_acceptedAccepted author manuscript, 3.7 MBLicence: CC BY

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Schreckenberg, K., Poudyal, M., Kraft, F., Wells, G., Das, A., Attiwilli, S., Lele, S., Daw, T., Torres-Vitolas, C. A., Setty, S., Adams, H., Ahmad, S., Ryan, C., Fisher, J., Robinson, B., Jones, J., Homewood, K., Bluwstein, J., Keane, A., ... Mugi, L. M. (Accepted/In press). Nature’s contribution to poverty alleviation, human wellbeing and the SDGs. Scientific Data.

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title = "Nature{\textquoteright}s contribution to poverty alleviation, human wellbeing and the SDGs",

abstract = "Millions of households globally rely on uncultivated ecosystems for their livelihoods. However, much of the understanding about the broader contribution of uncultivated ecosystems to human wellbeing is still based on a series of small-scale studies due to limited availability of large-scale datasets. We pooled together 11 comparable datasets comprising 232 settlements and 10,971 households in ten low-and middle-income countries, representing forest, savanna and coastal ecosystems to analyse how uncultivated nature contributes to multi-dimensional wellbeing and how benefits from nature are distributed between households. The resulting dataset integrates secondary data on rural livelihoods, multidimensional human wellbeing, household demographics, resource tenure and social-ecological context, primarily drawing on nine existing household survey datasets and their associated contextual information together with selected variables, such as travel time to cities, population density, local area GDP and land use and land cover from existing global datasets. This integrated dataset has been archived with ReShare (UK Data Service) and will be useful for further analyses on nature-wellbeing relationships on its own or in combination with similar datasets.",

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AU - Das, Anamika

AU - Attiwilli, Suman

AU - Lele, Sharachchandra

AU - Daw, Tim

AU - Torres-Vitolas, Carlos A.

AU - Setty, Siddappa

AU - Adams, Helen

AU - Ahmad, Sate

AU - Ryan, Casey

AU - Fisher, Janet

AU - Robinson, Brian

AU - Jones, Julia

AU - Homewood, Katherine

AU - Bluwstein, Jevgeniy

AU - Keane, Aidan

AU - Macamo, Celia

AU - Mugi, Lilian Mwihaki

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AB - Millions of households globally rely on uncultivated ecosystems for their livelihoods. However, much of the understanding about the broader contribution of uncultivated ecosystems to human wellbeing is still based on a series of small-scale studies due to limited availability of large-scale datasets. We pooled together 11 comparable datasets comprising 232 settlements and 10,971 households in ten low-and middle-income countries, representing forest, savanna and coastal ecosystems to analyse how uncultivated nature contributes to multi-dimensional wellbeing and how benefits from nature are distributed between households. The resulting dataset integrates secondary data on rural livelihoods, multidimensional human wellbeing, household demographics, resource tenure and social-ecological context, primarily drawing on nine existing household survey datasets and their associated contextual information together with selected variables, such as travel time to cities, population density, local area GDP and land use and land cover from existing global datasets. This integrated dataset has been archived with ReShare (UK Data Service) and will be useful for further analyses on nature-wellbeing relationships on its own or in combination with similar datasets.

M3 - Article

JO - Scientific Data

JF - Scientific Data

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Nature’s contribution to poverty alleviation, human wellbeing and the SDGs

Abstract

UN SDGs

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