Skip to main navigation Skip to search Skip to main content

Data on how tree planting and management practices influence tree seedling survival in Kenya and Ethiopia

  • 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
  • World Agroforestry Centre (ICRAF), Kenya
  • International Center for Agricultural Research in the Dry Areas (ICARDA), Florence, Italy.
  • International Center for Agricultural Research in the Dry Areas (ICARDA), Beirut, Lebanon.
  • International Center for Agricultural Research in the Dry Areas (ICARDA), Tunis, Tunisia.
  • International Center for Agricultural Research in the Dry Areas (ICARDA), Copenhagen, Denmark.
  • World Agroforestry (CRAF), Addis Ababa, Ethiopia.
  • World Vision, Addis Ababa, Ethiopia.

Research output: Contribution to journalArticlepeer-review

99 Downloads (Pure)

Abstract

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.]
Original languageEnglish
Article number107073
JournalData in Brief
Volume36
Early online date21 Apr 2021
DOIs
Publication statusPublished - 1 Jun 2021

Keywords

  • Options by context
  • Seedling survival
  • Trees on farm

Fingerprint

Dive into the research topics of 'Data on how tree planting and management practices influence tree seedling survival in Kenya and Ethiopia'. Together they form a unique fingerprint.

Cite this