Linking ecosystem services provisioning with demand for animal-sourced food: an integrated modeling study for Tanzania

Standard tools that can quantitatively track the impacts of higher global demand for animal-sourced food to their local environmental effects in developing countries are largely missing. This paper presents a novel integrated assessment framework that links a model of the global agricultural and foo...

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Autores principales: Enahoro, Dolapo K., Kozicka, Marta, Pfeifer, Catherine, Jones, Sarah K., Nhuong Tran, Chin Yee Chan, Susler, Timothy B., Gotor, Elisabetta, Rich, Karl M.
Formato: Journal Article
Lenguaje:Inglés
Publicado: Springer 2023
Materias:
Acceso en línea:https://hdl.handle.net/10568/129188
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author Enahoro, Dolapo K.
Kozicka, Marta
Pfeifer, Catherine
Jones, Sarah K.
Nhuong Tran
Chin Yee Chan
Susler, Timothy B.
Gotor, Elisabetta
Rich, Karl M.
author_browse Chin Yee Chan
Enahoro, Dolapo K.
Gotor, Elisabetta
Jones, Sarah K.
Kozicka, Marta
Nhuong Tran
Pfeifer, Catherine
Rich, Karl M.
Susler, Timothy B.
author_facet Enahoro, Dolapo K.
Kozicka, Marta
Pfeifer, Catherine
Jones, Sarah K.
Nhuong Tran
Chin Yee Chan
Susler, Timothy B.
Gotor, Elisabetta
Rich, Karl M.
author_sort Enahoro, Dolapo K.
collection Repository of Agricultural Research Outputs (CGSpace)
description Standard tools that can quantitatively track the impacts of higher global demand for animal-sourced food to their local environmental effects in developing countries are largely missing. This paper presents a novel integrated assessment framework that links a model of the global agricultural and food system, a landscape-level environmental impact assessment model, and an ecosystem services simulation model. For Tanzania, this integrated assessment showed that a projected increase in the demand and production of foods of livestock origin with optimistic economic growth between 2010 and 2030 leads to an improvement in food security. However, resulting transitions in land use impact negatively on the future provisioning of ecosystem services, increasing phosphorus, nitrogen, and sediment in runoff and reducing water quality in areas downstream of the agricultural expansion. Losses in ecosystem services are lowest when diversified farming practices are adopted in areas of agricultural land expansion. The role of land management in the environmental impacts of expanded livestock production is highlighted, as is the need for a new generation of analytical tools to inform policy recommendations.
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spelling CGSpace1291882025-11-13T10:39:08Z Linking ecosystem services provisioning with demand for animal-sourced food: an integrated modeling study for Tanzania Enahoro, Dolapo K. Kozicka, Marta Pfeifer, Catherine Jones, Sarah K. Nhuong Tran Chin Yee Chan Susler, Timothy B. Gotor, Elisabetta Rich, Karl M. agriculture economic growth food systems ecosystem services land use land management livestock models nitrogen phosphorus runoff policy innovation sediment water quality Standard tools that can quantitatively track the impacts of higher global demand for animal-sourced food to their local environmental effects in developing countries are largely missing. This paper presents a novel integrated assessment framework that links a model of the global agricultural and food system, a landscape-level environmental impact assessment model, and an ecosystem services simulation model. For Tanzania, this integrated assessment showed that a projected increase in the demand and production of foods of livestock origin with optimistic economic growth between 2010 and 2030 leads to an improvement in food security. However, resulting transitions in land use impact negatively on the future provisioning of ecosystem services, increasing phosphorus, nitrogen, and sediment in runoff and reducing water quality in areas downstream of the agricultural expansion. Losses in ecosystem services are lowest when diversified farming practices are adopted in areas of agricultural land expansion. The role of land management in the environmental impacts of expanded livestock production is highlighted, as is the need for a new generation of analytical tools to inform policy recommendations. 2023-03 2023-03-03T20:38:18Z 2023-03-03T20:38:18Z Journal Article https://hdl.handle.net/10568/129188 en https://hdl.handle.net/10568/150391 Open Access application/pdf Springer Enahoro, D., Kozicka, M., Pfeifer, C., Jones, S.K., Tran, N., Chan, C.Y., Susler, T.B., Gotor, E. and Rich, K.M. 2023. Linking ecosystem services provisioning with demand for animal-sourced food: an integrated modeling study for Tanzania. Regional Environmental Change 23: 48. https://doi.org/10.1007/s10113-023-02038-x
spellingShingle agriculture
economic growth
food systems
ecosystem services
land use
land management
livestock
models
nitrogen
phosphorus
runoff
policy innovation
sediment
water quality
Enahoro, Dolapo K.
Kozicka, Marta
Pfeifer, Catherine
Jones, Sarah K.
Nhuong Tran
Chin Yee Chan
Susler, Timothy B.
Gotor, Elisabetta
Rich, Karl M.
Linking ecosystem services provisioning with demand for animal-sourced food: an integrated modeling study for Tanzania
title Linking ecosystem services provisioning with demand for animal-sourced food: an integrated modeling study for Tanzania
title_full Linking ecosystem services provisioning with demand for animal-sourced food: an integrated modeling study for Tanzania
title_fullStr Linking ecosystem services provisioning with demand for animal-sourced food: an integrated modeling study for Tanzania
title_full_unstemmed Linking ecosystem services provisioning with demand for animal-sourced food: an integrated modeling study for Tanzania
title_short Linking ecosystem services provisioning with demand for animal-sourced food: an integrated modeling study for Tanzania
title_sort linking ecosystem services provisioning with demand for animal sourced food an integrated modeling study for tanzania
topic agriculture
economic growth
food systems
ecosystem services
land use
land management
livestock
models
nitrogen
phosphorus
runoff
policy innovation
sediment
water quality
url https://hdl.handle.net/10568/129188
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