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  • Christine Magaju
    World Agroforestry Centre (ICRAF), Kenya
  • Leigh Ann Winowiecki
    World Agroforestry Centre (ICRAF), Kenya
  • Pietro Bartolini
    International Center for Agricultural Research in the Dry Areas (ICARDA), Florence, Italy.
  • Asma Jeitani
    International Center for Agricultural Research in the Dry Areas (ICARDA), Beirut, Lebanon.
  • Ibrahim Ochenje
    World Agroforestry Centre (ICRAF), Kenya
  • Aymen Frija
    International Center for Agricultural Research in the Dry Areas (ICARDA), Tunis, Tunisia.
  • Hassen Ouerghemmi
    International Center for Agricultural Research in the Dry Areas (ICARDA), Tunis, Tunisia.
  • Tor-Gunnar Vågen
    World Agroforestry Centre (ICRAF), Kenya
  • Parmutia Makui
    World Agroforestry Centre (ICRAF), Kenya
  • Enrico Bonaiuti
    International Center for Agricultural Research in the Dry Areas (ICARDA), Copenhagen, Denmark.
  • Niguse Hagazi
    World Agroforestry (CRAF), Addis Ababa, Ethiopia.
  • Asefa Tofu
    World Vision, Addis Ababa, Ethiopia.
  • Alemayehu Sitotaw
    World Vision, Addis Ababa, Ethiopia.
  • Mary Crossland
  • Esther Kiura
    World Agroforestry Centre (ICRAF), Kenya
  • Kiros Hadgu
    World Agroforestry (CRAF), Addis Ababa, Ethiopia.
  • Jonathan Muriuki
    World Agroforestry Centre (ICRAF), Kenya
  • Sammy Carsan
    World Agroforestry Centre (ICRAF), Kenya
  • Phosisio Sola
    World Agroforestry Centre (ICRAF), Kenya
  • Fergus Sinclair
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. [Abstract copyright: © 2021 The Author(s). Published by Elsevier Inc.]

Keywords

  • Options by context, Seedling survival, Trees on farm
Original languageEnglish
Article number107073
JournalData in Brief
Volume36
Early online date21 Apr 2021
DOIs
Publication statusPublished - 1 Jun 2021

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