4.5 Article

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

期刊

REGIONAL ENVIRONMENTAL CHANGE
卷 23, 期 1, 页码 -

出版社

SPRINGER HEIDELBERG
DOI: 10.1007/s10113-023-02038-x

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Scenario analysis; Integrated assessment; Food security; Livestock production; Ecosystem assessment; Land use change

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This paper presents an integrated assessment framework that quantitatively tracks the environmental impacts of higher global demand for animal-sourced food in developing countries. The assessment shows that a projected increase in demand and production of livestock-origin foods improves food security in Tanzania but negatively affects ecosystem services due to land use transitions. It emphasizes the importance of land management and the need for new analytical tools to inform policy recommendations.
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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