Tree Planting Data 2017-Kenya

C Magaju, L Winowiecki, J Nyaga, I Ochenje, P Makui… - 2019 - sidalc.net
2019sidalc.net
In order to assess the impact of the Land Restoration Program, understanding what land
restoration options work, where and for whom, there is need to identify the context-specific
variables that may influence the performance of the restoration options as well as their
uptake. In addition to monitoring the performance of the restoration option being
implemented, a registration of the farmers involved in the project was conducted. A standard
household survey was used, assessing both the socio-economic and biophysical …
Summary
In order to assess the impact of the Land Restoration Program, understanding what land restoration options work, where and for whom, there is need to identify the context-specific variables that may influence the performance of the restoration options as well as their uptake. In addition to monitoring the performance of the restoration option being implemented, a registration of the farmers involved in the project was conducted. A standard household survey was used, assessing both the socio-economic and biophysical characteristics of the households. The farmers were from seven sub-counties across three Kenyan counties. Specifically, the farmers were from Mwala, Yatta and Masinga sub-counties in Machakos County; Mwingi Central and Kitui Rural in Kitui County; and Mbooni East and Kibwezi East in Makueni County. The present dataset includes data about tree planting in experimental plots developed inside the project, from 1286 households. The tree planting data were collected in 2017 about six month after the establishement of the plots. NOTE: The coordinates were removed from the dataset in May 2021, in order to comply with GDPR standards. The location details are available on request: please contact the author and explain the purpose of your research.
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