TY - JOUR

T1 - Data on how tree planting and management practices influence tree seedling survival in Kenya and Ethiopia

AU - Magaju, Christine

AU - Winowiecki, Leigh Ann

AU - Bartolini, Pietro

AU - Jeitani, Asma

AU - Ochenje, Ibrahim

AU - Frija, Aymen

AU - Ouerghemmi, Hassen

AU - Vågen, Tor-Gunnar

AU - Makui, Parmutia

AU - Bonaiuti, Enrico

AU - Hagazi, Niguse

AU - Tofu, Asefa

AU - Sitotaw, Alemayehu

AU - Crossland, Mary

AU - Kiura, Esther

AU - Hadgu, Kiros

AU - Muriuki, Jonathan

AU - Carsan, Sammy

AU - Sola, Phosisio

AU - Sinclair, Fergus

PY - 2021/6/1

Y1 - 2021/6/1

N2 - 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.]

AB - 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.]

KW - Options by context

KW - Seedling survival

KW - Trees on farm

U2 - 10.1016/j.dib.2021.107073

DO - 10.1016/j.dib.2021.107073

M3 - Article

C2 - 34026972

VL - 36

JO - Data in Brief

JF - Data in Brief

SN - 2352-3409

M1 - 107073

ER -