A model-based exploration of farm-household livelihood and nutrition indicators to guide nutrition-sensitive agriculture interventions

Natalia Estrada-Carmona*, Jessica E. Raneri, Stephanie Alvarez, Carl Timler, Shantonu Abe Chatterjee, Lenora Ditzler, Gina Kennedy, Roseline Remans, Inge Brouwer, Karin Borgonjen van-den Berg, Elise F. Talsma, Jeroen C.J. Groot

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

1 Citation (Scopus)

Abstract

Assessing progress towards healthier people, farms and landscapes through nutrition-sensitive agriculture (NSA) requires transdisciplinary methods with robust models and metrics. Farm-household models could facilitate disentangling the complex agriculture-nutrition nexus, by jointly assessing performance indicators on different farm system components such as farm productivity, farm environmental performance, household nutrition, and livelihoods. We, therefore, applied a farm-household model, FarmDESIGN, expanded to more comprehensively capture household nutrition and production diversity, diet diversity, and nutrient adequacy metrics. We estimated the potential contribution of an NSA intervention targeting the diversification of home gardens, aimed at reducing nutritional gaps and improving livelihoods in rural Vietnam. We addressed three central questions: (1) Do ‘Selected Crops’ (i.e. crops identified in a participatory process) in the intervention contribute to satisfying household dietary requirements?; (2) Does the adoption of Selected Crops contribute to improving household livelihoods (i.e. does it increase leisure time for non-earning activities as well as the dispensable budget)?; and (3) Do the proposed nutrition-related metrics estimate the contribution of home-garden diversification towards satisfying household dietary requirements? Results indicate trade-offs between nutrition and dispensable budget, with limited farm-household configurations leading to jointly improved nutrition and livelihoods. FarmDESIGN facilitated testing the robustness and limitations of commonly used metrics to monitor progress towards NSA. Results indicate that most of the production diversity metrics performed poorly at predicting desirable nutritional outcomes in this modelling study. This study demonstrates that farm-household models can facilitate anticipating the effect (positive or negative) of agricultural interventions on nutrition and the environment, identifying complementary interventions for significant and positive results and helping to foresee the trade-offs that farm-households could face. Furthermore, FarmDESIGN could contribute to identifying agreed-upon and robust metrics for measuring nutritional outcomes at the farm-household level, to allow comparability between contexts and NSA interventions.

Original languageEnglish
Pages (from-to)59-81
JournalFood Security
Volume12
Issue number1
Early online date4 Dec 2019
DOIs
Publication statusPublished - Feb 2020

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livelihood
Agriculture
nutrition
households
farm
agriculture
farms
home garden
home gardens
Nutritional Requirements
Budgets
diversification
crop
budget
household
indicator
Farms
crops
transdisciplinary
Vietnam

Keywords

  • Crop diversification
  • Farm-household model
  • Home garden
  • Human nutrition metrics
  • Multi-objective optimisation

Cite this

@article{ef6e8eccc401426b91184ac728da8ce8,
title = "A model-based exploration of farm-household livelihood and nutrition indicators to guide nutrition-sensitive agriculture interventions",
abstract = "Assessing progress towards healthier people, farms and landscapes through nutrition-sensitive agriculture (NSA) requires transdisciplinary methods with robust models and metrics. Farm-household models could facilitate disentangling the complex agriculture-nutrition nexus, by jointly assessing performance indicators on different farm system components such as farm productivity, farm environmental performance, household nutrition, and livelihoods. We, therefore, applied a farm-household model, FarmDESIGN, expanded to more comprehensively capture household nutrition and production diversity, diet diversity, and nutrient adequacy metrics. We estimated the potential contribution of an NSA intervention targeting the diversification of home gardens, aimed at reducing nutritional gaps and improving livelihoods in rural Vietnam. We addressed three central questions: (1) Do ‘Selected Crops’ (i.e. crops identified in a participatory process) in the intervention contribute to satisfying household dietary requirements?; (2) Does the adoption of Selected Crops contribute to improving household livelihoods (i.e. does it increase leisure time for non-earning activities as well as the dispensable budget)?; and (3) Do the proposed nutrition-related metrics estimate the contribution of home-garden diversification towards satisfying household dietary requirements? Results indicate trade-offs between nutrition and dispensable budget, with limited farm-household configurations leading to jointly improved nutrition and livelihoods. FarmDESIGN facilitated testing the robustness and limitations of commonly used metrics to monitor progress towards NSA. Results indicate that most of the production diversity metrics performed poorly at predicting desirable nutritional outcomes in this modelling study. This study demonstrates that farm-household models can facilitate anticipating the effect (positive or negative) of agricultural interventions on nutrition and the environment, identifying complementary interventions for significant and positive results and helping to foresee the trade-offs that farm-households could face. Furthermore, FarmDESIGN could contribute to identifying agreed-upon and robust metrics for measuring nutritional outcomes at the farm-household level, to allow comparability between contexts and NSA interventions.",
keywords = "Crop diversification, Farm-household model, Home garden, Human nutrition metrics, Multi-objective optimisation",
author = "Natalia Estrada-Carmona and Raneri, {Jessica E.} and Stephanie Alvarez and Carl Timler and Chatterjee, {Shantonu Abe} and Lenora Ditzler and Gina Kennedy and Roseline Remans and Inge Brouwer and {Borgonjen van-den Berg}, Karin and Talsma, {Elise F.} and Groot, {Jeroen C.J.}",
year = "2020",
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doi = "10.1007/s12571-019-00985-0",
language = "English",
volume = "12",
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journal = "Food Security",
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A model-based exploration of farm-household livelihood and nutrition indicators to guide nutrition-sensitive agriculture interventions. / Estrada-Carmona, Natalia; Raneri, Jessica E.; Alvarez, Stephanie; Timler, Carl; Chatterjee, Shantonu Abe; Ditzler, Lenora; Kennedy, Gina; Remans, Roseline; Brouwer, Inge; Borgonjen van-den Berg, Karin; Talsma, Elise F.; Groot, Jeroen C.J.

In: Food Security, Vol. 12, No. 1, 02.2020, p. 59-81.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - A model-based exploration of farm-household livelihood and nutrition indicators to guide nutrition-sensitive agriculture interventions

AU - Estrada-Carmona, Natalia

AU - Raneri, Jessica E.

AU - Alvarez, Stephanie

AU - Timler, Carl

AU - Chatterjee, Shantonu Abe

AU - Ditzler, Lenora

AU - Kennedy, Gina

AU - Remans, Roseline

AU - Brouwer, Inge

AU - Borgonjen van-den Berg, Karin

AU - Talsma, Elise F.

AU - Groot, Jeroen C.J.

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N2 - Assessing progress towards healthier people, farms and landscapes through nutrition-sensitive agriculture (NSA) requires transdisciplinary methods with robust models and metrics. Farm-household models could facilitate disentangling the complex agriculture-nutrition nexus, by jointly assessing performance indicators on different farm system components such as farm productivity, farm environmental performance, household nutrition, and livelihoods. We, therefore, applied a farm-household model, FarmDESIGN, expanded to more comprehensively capture household nutrition and production diversity, diet diversity, and nutrient adequacy metrics. We estimated the potential contribution of an NSA intervention targeting the diversification of home gardens, aimed at reducing nutritional gaps and improving livelihoods in rural Vietnam. We addressed three central questions: (1) Do ‘Selected Crops’ (i.e. crops identified in a participatory process) in the intervention contribute to satisfying household dietary requirements?; (2) Does the adoption of Selected Crops contribute to improving household livelihoods (i.e. does it increase leisure time for non-earning activities as well as the dispensable budget)?; and (3) Do the proposed nutrition-related metrics estimate the contribution of home-garden diversification towards satisfying household dietary requirements? Results indicate trade-offs between nutrition and dispensable budget, with limited farm-household configurations leading to jointly improved nutrition and livelihoods. FarmDESIGN facilitated testing the robustness and limitations of commonly used metrics to monitor progress towards NSA. Results indicate that most of the production diversity metrics performed poorly at predicting desirable nutritional outcomes in this modelling study. This study demonstrates that farm-household models can facilitate anticipating the effect (positive or negative) of agricultural interventions on nutrition and the environment, identifying complementary interventions for significant and positive results and helping to foresee the trade-offs that farm-households could face. Furthermore, FarmDESIGN could contribute to identifying agreed-upon and robust metrics for measuring nutritional outcomes at the farm-household level, to allow comparability between contexts and NSA interventions.

AB - Assessing progress towards healthier people, farms and landscapes through nutrition-sensitive agriculture (NSA) requires transdisciplinary methods with robust models and metrics. Farm-household models could facilitate disentangling the complex agriculture-nutrition nexus, by jointly assessing performance indicators on different farm system components such as farm productivity, farm environmental performance, household nutrition, and livelihoods. We, therefore, applied a farm-household model, FarmDESIGN, expanded to more comprehensively capture household nutrition and production diversity, diet diversity, and nutrient adequacy metrics. We estimated the potential contribution of an NSA intervention targeting the diversification of home gardens, aimed at reducing nutritional gaps and improving livelihoods in rural Vietnam. We addressed three central questions: (1) Do ‘Selected Crops’ (i.e. crops identified in a participatory process) in the intervention contribute to satisfying household dietary requirements?; (2) Does the adoption of Selected Crops contribute to improving household livelihoods (i.e. does it increase leisure time for non-earning activities as well as the dispensable budget)?; and (3) Do the proposed nutrition-related metrics estimate the contribution of home-garden diversification towards satisfying household dietary requirements? Results indicate trade-offs between nutrition and dispensable budget, with limited farm-household configurations leading to jointly improved nutrition and livelihoods. FarmDESIGN facilitated testing the robustness and limitations of commonly used metrics to monitor progress towards NSA. Results indicate that most of the production diversity metrics performed poorly at predicting desirable nutritional outcomes in this modelling study. This study demonstrates that farm-household models can facilitate anticipating the effect (positive or negative) of agricultural interventions on nutrition and the environment, identifying complementary interventions for significant and positive results and helping to foresee the trade-offs that farm-households could face. Furthermore, FarmDESIGN could contribute to identifying agreed-upon and robust metrics for measuring nutritional outcomes at the farm-household level, to allow comparability between contexts and NSA interventions.

KW - Crop diversification

KW - Farm-household model

KW - Home garden

KW - Human nutrition metrics

KW - Multi-objective optimisation

U2 - 10.1007/s12571-019-00985-0

DO - 10.1007/s12571-019-00985-0

M3 - Article

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