Data on how tree planting and management practices influence tree seedling survival in Kenya and Ethiopia
Understanding which trees farmers prefer, what determines their survival and enhancing farmer knowledge of tree management is key to increasing tree cover in agricultural landscapes. This article presents data on tree seedling survival under different tree planting and management practices in Kenya...
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doaj-03f3efb88aa040d1b27e9346546baf202021-06-27T04:38:13ZengElsevierData in Brief2352-34092021-06-0136107073Data on how tree planting and management practices influence tree seedling survival in Kenya and EthiopiaChristine Magaju0Leigh Ann Winowiecki1Pietro Bartolini2Asma Jeitani3Ibrahim Ochenje4Aymen Frija5Hassen Ouerghemmi6Tor-Gunnar Vågen7Parmutia Makui8Enrico Bonaiuti9Niguse Hagazi10Asefa Tofu11Alemayehu Sitotaw12Mary Crossland13Esther Kiura14Kiros Hadgu15Jonathan Muriuki16Sammy Carsan17Phosisio Sola18Fergus Sinclair19World Agroforestry (ICRAF), Nairobi, Kenya; Corresponding author.World Agroforestry (ICRAF), Nairobi, KenyaInternational Center for Agricultural Research in the Dry Areas (ICARDA), Florence, ItalyInternational Center for Agricultural Research in the Dry Areas (ICARDA), Beirut, LebanonWorld Agroforestry (ICRAF), Nairobi, KenyaInternational Center for Agricultural Research in the Dry Areas (ICARDA), Tunis, TunisiaInternational Center for Agricultural Research in the Dry Areas (ICARDA), Tunis, TunisiaWorld Agroforestry (ICRAF), Nairobi, KenyaWorld Agroforestry (ICRAF), Nairobi, KenyaInternational Center for Agricultural Research in the Dry Areas (ICARDA), Copenhagen, DenmarkWorld Agroforestry (CRAF), Addis Ababa, EthiopiaWorld Vision, Addis Ababa, EthiopiaWorld Vision, Addis Ababa, EthiopiaSchool of Natural Sciences, Bangor University, Bangor, United KingdomWorld Agroforestry (ICRAF), Nairobi, KenyaWorld Agroforestry (CRAF), Addis Ababa, EthiopiaWorld Agroforestry (ICRAF), Nairobi, KenyaWorld Agroforestry (ICRAF), Nairobi, KenyaWorld Agroforestry (ICRAF), Nairobi, KenyaWorld Agroforestry (ICRAF), Nairobi, Kenya; School of Natural Sciences, Bangor University, Bangor, United KingdomUnderstanding which trees farmers prefer, what determines their survival and enhancing farmer knowledge of tree management is key to increasing tree cover in agricultural landscapes. This article presents data on tree seedling survival under different tree planting and management practices in Kenya and Ethiopia. Data were collected from 1600 households across three Counties in Kenya and 173 households across four Woredas in Ethiopia, using a structured questionnaire which was administered through the Open Data Kit. Data on seedling survival were collected at least six months after tree seedlings were planted. To understand how planting and management practices influence tree planting across the different socioeconomic and biophysical contexts, both household level and individual tree level data were collected. Household level data included socio-economic and biophysical characteristics of the households while tree specific data included when the tree seedling was planted, where it was planted, the management practices employed and whether surviving. The datasets described in this article help understand which options confer the best chance survival for the planted seedlings and in which socio-economic and biophysical contexts they are most successful.http://www.sciencedirect.com/science/article/pii/S2352340921003577Trees on farmSeedling survivalOptions by context |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Christine Magaju Leigh Ann Winowiecki Pietro Bartolini Asma Jeitani Ibrahim Ochenje Aymen Frija Hassen Ouerghemmi Tor-Gunnar Vågen Parmutia Makui Enrico Bonaiuti Niguse Hagazi Asefa Tofu Alemayehu Sitotaw Mary Crossland Esther Kiura Kiros Hadgu Jonathan Muriuki Sammy Carsan Phosisio Sola Fergus Sinclair |
spellingShingle |
Christine Magaju Leigh Ann Winowiecki Pietro Bartolini Asma Jeitani Ibrahim Ochenje Aymen Frija Hassen Ouerghemmi Tor-Gunnar Vågen Parmutia Makui Enrico Bonaiuti Niguse Hagazi Asefa Tofu Alemayehu Sitotaw Mary Crossland Esther Kiura Kiros Hadgu Jonathan Muriuki Sammy Carsan Phosisio Sola Fergus Sinclair Data on how tree planting and management practices influence tree seedling survival in Kenya and Ethiopia Data in Brief Trees on farm Seedling survival Options by context |
author_facet |
Christine Magaju Leigh Ann Winowiecki Pietro Bartolini Asma Jeitani Ibrahim Ochenje Aymen Frija Hassen Ouerghemmi Tor-Gunnar Vågen Parmutia Makui Enrico Bonaiuti Niguse Hagazi Asefa Tofu Alemayehu Sitotaw Mary Crossland Esther Kiura Kiros Hadgu Jonathan Muriuki Sammy Carsan Phosisio Sola Fergus Sinclair |
author_sort |
Christine Magaju |
title |
Data on how tree planting and management practices influence tree seedling survival in Kenya and Ethiopia |
title_short |
Data on how tree planting and management practices influence tree seedling survival in Kenya and Ethiopia |
title_full |
Data on how tree planting and management practices influence tree seedling survival in Kenya and Ethiopia |
title_fullStr |
Data on how tree planting and management practices influence tree seedling survival in Kenya and Ethiopia |
title_full_unstemmed |
Data on how tree planting and management practices influence tree seedling survival in Kenya and Ethiopia |
title_sort |
data on how tree planting and management practices influence tree seedling survival in kenya and ethiopia |
publisher |
Elsevier |
series |
Data in Brief |
issn |
2352-3409 |
publishDate |
2021-06-01 |
description |
Understanding which trees farmers prefer, what determines their survival and enhancing farmer knowledge of tree management is key to increasing tree cover in agricultural landscapes. This article presents data on tree seedling survival under different tree planting and management practices in Kenya and Ethiopia. Data were collected from 1600 households across three Counties in Kenya and 173 households across four Woredas in Ethiopia, using a structured questionnaire which was administered through the Open Data Kit. Data on seedling survival were collected at least six months after tree seedlings were planted. To understand how planting and management practices influence tree planting across the different socioeconomic and biophysical contexts, both household level and individual tree level data were collected. Household level data included socio-economic and biophysical characteristics of the households while tree specific data included when the tree seedling was planted, where it was planted, the management practices employed and whether surviving. The datasets described in this article help understand which options confer the best chance survival for the planted seedlings and in which socio-economic and biophysical contexts they are most successful. |
topic |
Trees on farm Seedling survival Options by context |
url |
http://www.sciencedirect.com/science/article/pii/S2352340921003577 |
work_keys_str_mv |
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