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Dataset supporting the doctoral thesis "Assessing the impacts of future climate change on homegarden agroforestry systems: A case study on Mt Kilimanjaro's SE slopes"

Dataset supporting the doctoral thesis "Assessing the impacts of future climate change on homegarden agroforestry systems: A case study on Mt Kilimanjaro's SE slopes"
Dataset supporting the doctoral thesis "Assessing the impacts of future climate change on homegarden agroforestry systems: A case study on Mt Kilimanjaro's SE slopes"
The dataset is a mainly socio-economic quantitative household survey that measures indicators representing subsistence farmers' crop yield and household wellbeing in a homegarden agroforestry system in Tanzania's Moshi Rural District. The dataset was gathered for the purpose of assessing how a change in climate conditions (warmer and drier) could affect the wellbeing of subsistence farmers in the homegardens following a climate analogue analysis study design. This study pertains to Chapter 6 in the doctoral thesis "Assessing the impacts of future climate change on homegarden agroforestry systems: A case study on Mt Kilimanjaro's SE slopes". The dataset includes: -Hard_Copy_HH_Survey.pdf -Coding_Sheet.xlsx -Moshi_Homegarden_Data.xlsx -Conversion_Units.pdf The data will become available after the embargo of 4.12.2024 and can be accessed with CC BY license.
wellbeing, livelihoods, climate change, agroforestry, ecosystem services, Tanzania, subsistence farming, Homegarden
University of Southampton
Watts, Martin Allan
542ac943-dbed-4d9d-83ec-aa1812eee62a
Peh, Kelvin
0bd60207-dad8-43fb-a84a-a15e09b024cc
Suckall, Natalie R
6403cd8a-dab8-4fed-9136-ab293700d4fe
Hutton, Craig
9102617b-caf7-4538-9414-c29e72f5fe2e
Watts, Martin Allan
542ac943-dbed-4d9d-83ec-aa1812eee62a
Peh, Kelvin
0bd60207-dad8-43fb-a84a-a15e09b024cc
Suckall, Natalie R
6403cd8a-dab8-4fed-9136-ab293700d4fe
Hutton, Craig
9102617b-caf7-4538-9414-c29e72f5fe2e

Watts, Martin Allan (2023) Dataset supporting the doctoral thesis "Assessing the impacts of future climate change on homegarden agroforestry systems: A case study on Mt Kilimanjaro's SE slopes". University of Southampton doi:10.5258/SOTON/D2866 [Dataset]

Record type: Dataset

Abstract

The dataset is a mainly socio-economic quantitative household survey that measures indicators representing subsistence farmers' crop yield and household wellbeing in a homegarden agroforestry system in Tanzania's Moshi Rural District. The dataset was gathered for the purpose of assessing how a change in climate conditions (warmer and drier) could affect the wellbeing of subsistence farmers in the homegardens following a climate analogue analysis study design. This study pertains to Chapter 6 in the doctoral thesis "Assessing the impacts of future climate change on homegarden agroforestry systems: A case study on Mt Kilimanjaro's SE slopes". The dataset includes: -Hard_Copy_HH_Survey.pdf -Coding_Sheet.xlsx -Moshi_Homegarden_Data.xlsx -Conversion_Units.pdf The data will become available after the embargo of 4.12.2024 and can be accessed with CC BY license.

Text
Hard_Copy_HH_Survey.pdf - Text
Available under License Creative Commons Attribution.
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Spreadsheet
Coding_Sheet.xlsx - Other
Available under License Creative Commons Attribution.
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Spreadsheet
Moshi_Homegarden_Data.xlsx - Dataset
Available under License Creative Commons Attribution.
Download (757kB)
Text
Conversion_Units.pdf - Text
Available under License Creative Commons Attribution.
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thesis_readme.txt - Text
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More information

Published date: 28 November 2023
Keywords: wellbeing, livelihoods, climate change, agroforestry, ecosystem services, Tanzania, subsistence farming, Homegarden
Learn more about School of Geography and Environmental Sciences research

Identifiers

Local EPrints ID: 485042
URI: http://eprints.soton.ac.uk/id/eprint/485042
DOI: doi:10.5258/SOTON/D2866
PURE UUID: 4b94582e-69bf-47f0-a847-8b0e806521eb
ORCID for Kelvin Peh: ORCID iD orcid.org/0000-0002-2921-1341
ORCID for Craig Hutton: ORCID iD orcid.org/0000-0002-5896-756X

Catalogue record

Date deposited: 28 Nov 2023 17:56
Last modified: 04 Dec 2024 05:01

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Contributors

Creator: Martin Allan Watts
Research team head: Kelvin Peh ORCID iD
Research team head: Natalie R Suckall
Research team head: Craig Hutton ORCID iD

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