What is the evidence-base for climate-smart agriculture in Tanzania?

Evidence exists to support CSA programming on the most widely cultivated crops (e.g. maize), and most common agricultural practices (e.g. fertilizer addition) in Tanzania. However, products and places central to rural livelihoods such as livestock, coastal drylands, and humid regions near Lake Victo...

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Autores principales: Lamanna, Christine, Kimaro, Anthony A., Arslan, Aslihan, Corner-Dolloff, Caitlin, Rosenstock, Todd S.
Formato: Brief
Lenguaje:Inglés
Publicado: CGIAR Research Program on Climate Change, Agriculture and Food Security 2018
Materias:
Acceso en línea:https://hdl.handle.net/10568/100214
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author Lamanna, Christine
Kimaro, Anthony A.
Arslan, Aslihan
Corner-Dolloff, Caitlin
Rosenstock, Todd S.
author_browse Arslan, Aslihan
Corner-Dolloff, Caitlin
Kimaro, Anthony A.
Lamanna, Christine
Rosenstock, Todd S.
author_facet Lamanna, Christine
Kimaro, Anthony A.
Arslan, Aslihan
Corner-Dolloff, Caitlin
Rosenstock, Todd S.
author_sort Lamanna, Christine
collection Repository of Agricultural Research Outputs (CGSpace)
description Evidence exists to support CSA programming on the most widely cultivated crops (e.g. maize), and most common agricultural practices (e.g. fertilizer addition) in Tanzania. However, products and places central to rural livelihoods such as livestock, coastal drylands, and humid regions near Lake Victoria are understudied. Data on how CSA changes agricultural productivity is widely available (77% of the data), while 20% of the data is related to resilience indicators, and only 3% deals with greenhouse gas mitigation outcomes. Practitioners should draw on this rich evidence base for CSA in Tanzania, while also prioritizing the generation of evidence for understudied products, agroecologies, and practices.
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publishDate 2018
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spelling CGSpace1002142024-01-23T12:04:41Z What is the evidence-base for climate-smart agriculture in Tanzania? Lamanna, Christine Kimaro, Anthony A. Arslan, Aslihan Corner-Dolloff, Caitlin Rosenstock, Todd S. agriculture climate change food security climate-smart agriculture Evidence exists to support CSA programming on the most widely cultivated crops (e.g. maize), and most common agricultural practices (e.g. fertilizer addition) in Tanzania. However, products and places central to rural livelihoods such as livestock, coastal drylands, and humid regions near Lake Victoria are understudied. Data on how CSA changes agricultural productivity is widely available (77% of the data), while 20% of the data is related to resilience indicators, and only 3% deals with greenhouse gas mitigation outcomes. Practitioners should draw on this rich evidence base for CSA in Tanzania, while also prioritizing the generation of evidence for understudied products, agroecologies, and practices. 2018-05-01 2019-03-08T13:20:27Z 2019-03-08T13:20:27Z Brief https://hdl.handle.net/10568/100214 en Open Access application/pdf CGIAR Research Program on Climate Change, Agriculture and Food Security Lamanna C, Kimaro A, Arslan A, Corner-Dolloff C, Rosenstock TS. 2018. What is the evidence-base for climate-smart agriculture in Tanzania?. CCAFS Info Note. Wageningen, Netherlands: CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS).
spellingShingle agriculture
climate change
food security
climate-smart agriculture
Lamanna, Christine
Kimaro, Anthony A.
Arslan, Aslihan
Corner-Dolloff, Caitlin
Rosenstock, Todd S.
What is the evidence-base for climate-smart agriculture in Tanzania?
title What is the evidence-base for climate-smart agriculture in Tanzania?
title_full What is the evidence-base for climate-smart agriculture in Tanzania?
title_fullStr What is the evidence-base for climate-smart agriculture in Tanzania?
title_full_unstemmed What is the evidence-base for climate-smart agriculture in Tanzania?
title_short What is the evidence-base for climate-smart agriculture in Tanzania?
title_sort what is the evidence base for climate smart agriculture in tanzania
topic agriculture
climate change
food security
climate-smart agriculture
url https://hdl.handle.net/10568/100214
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