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CAFHUT SL (World Agroforestry Centre)
This Dataverse contains baseline data and related materials collected as part of the CGIAR Research Program 6 (CRP6) on Forests, Trees and Agroforestry (FTA) under the Theme: Sentinel Landscapes. The baseline sampling methodology consists of four instruments;
(i) Land Degradation Surveillance Framework (LDSF) for collecting land health indicators
(ii) the sentinel landscape household module for collecting socio-economic indicators
(iii) the IFRI methodologies for collecting political and institutional indicators and
(iv) the Grameen’s Progress out of poverty methodology for tracking household poverty over time.
The baseline data was collected in the years 2014, 2015 and 2016 in 4 sentinel sites namely: Ayos, Etiolomo, Lomie and Mintom. The standardized methods and instruments have been adapted to collect baseline data on land health indicators, people's livelihood, cropping systems, and utilization of tree and forest resources for monitoring purposes. The data generated is being used to assess the relationship between livelihoods and land health in forested landscapes, which have been exposed to various forms of land-use change.
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21 to 30 of 42 Results
Jan 24, 2020 - CAFHUT Village Baseline
Tab-Delimited - 8.6 KB - MD5: f57147ab151d3041a82a243df4f5a0b3
Data
Raw data for the Forest form
Jan 24, 2020 - CAFHUT Village Baseline
Tab-Delimited - 2.2 KB - MD5: 86e490a118e43ab79878da38b6543d78
Data
Raw data for the Association form
Tab-Delimited - 19.5 KB - MD5: 59a5c954e7ef583817cd4dd1974c8786
Data
Wet chemistry data for the 32 reference samples for the Etiolomo site. These are the original data from Crop Nutrition Laboratory in Nairobi.
Tab-Delimited - 19.4 KB - MD5: a8796ecc58c517ee781542677349c727
Data
Wet chemistry data for the 32 reference samples for the Ayos site. These are the original data from Crop Nutrition Laboratory in Nairobi.
Unknown - 113.8 KB - MD5: 00d4d366538268ba33d7fb361e4b814c
2. Data Entry Application
CSPro data entry application.
Unknown - 76.5 KB - MD5: ae46bad060d29c4e274d07026676ebc5
2. Data Entry Application
Unknown - 51.3 KB - MD5: 9da785963d08969ce2589bb0adb2ffde
2. Data Entry Application
MS Excel Spreadsheet - 2.7 MB - MD5: 6613baefb2f49a3347626a65511b75fa
2. Data Entry Application
ODK form for data collection using tablets.
Unknown - 58.7 KB - MD5: 57cb1760fa642de6877ff9af63797c0c
2. Data Entry Application
Unknown - 58.9 KB - MD5: a04308dbfd8d823fd83bf5b36dccaa3f
2. Data Entry Application
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