Data on how tree planting and management practices influence tree seedling survival in Kenya and Ethiopia
| Autor: | Sammy Carsan, Ibrahim Ochenje, Asefa Tofu, Asma Jeitani, Jonathan Muriuki, Esther Kiura, Aymen Frija, Hassen Ouerghemmi, Alemayehu Sitotaw, Tor-Gunnar Vågen, Fergus Sinclair, Leigh A. Winowiecki, Kiros Meles Hadgu, Enrico Bonaiuti, Parmutia Makui, Niguse Hagazi, Mary Crossland, Pietro Bartolini, Christine Magaju, Phosisio Sola |
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| Rok vydání: | 2021 |
| Předmět: |
Science (General)
Options by context Level data Tree planting Computer applications to medicine. Medical informatics R858-859.7 Seedling survival 03 medical and health sciences Q1-390 0302 clinical medicine Socioeconomic status Management practices 030304 developmental biology Data Article 0303 health sciences Multidisciplinary biology Agroforestry Sowing Trees on farm biology.organism_classification Tree (data structure) Open data Geography Seedling 030217 neurology & neurosurgery |
| Zdroj: | Data in Brief Data in Brief, Vol 36, Iss, Pp 107073-(2021) |
| ISSN: | 2352-3409 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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