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Sentinel Landscapes (World Agroforestry Centre)
The sentinel landscape network (SLN) is an initiative to set up long term socio-ecological research sites and to collect an integrated dataset (livelihood, institutions and environmental data) that support the strategic research framework of the CGIAR. The CGIAR is a global partnership that comprises 15 international research Centers engaged in development-oriented research on agriculture and natural resources. The mandate of the CGIAR’s is to conduct research in and for development, that supports significant progress towards four sustainability goals: a) reduced rural poverty, b) improved food security, c) improved nutrition and health, and d) sustainably managed natural resources. A particular important impact pathway for CGIAR research is to produce international public goods (IPG’s) in form of technologies and knowledge that are broadly applicable, such as the rigorous and systematic characterization of key farming systems and landscapes, to facilitate targeted scaling up and the production of baseline data from which to assess progress towards impacts. IPG’ SLN dataset will support the international environmental conventions (UNFCCC, UNCBD and UNCCD), as well as countries in the developing world in their efforts to develop climate mitigation and adaptation policies, and suitable technologies.
The ‘sentinel landscapes’ involves 200 research sites spread across 8 landscapes in 15 countries on 3 continents. The 8 sentinel landscapes are Nicaragua and Honduras, Western Ghats (India), the Mekong (China, Laos), West Africa (Ghana-Burkina Faso), Western Amazon (Brazil, Peru, Bolivia), Borneo-Sumatra (Indonesia), CAFHUT (Cameroon) and Nile-Congo (Kenya, Rwanda, Democratic Republic of Congo (DRC)). For each of the 8 sentinel landscapes, data was collected from 4 selected sentinel sites,, each measuring 10x10 km2 , and representing both the variation in tree cover as well as a variation in tree cover changed over a 10 year time period.
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41 to 50 of 476 Results
Adobe PDF - 1.5 MB - MD5: 3e9e3699f524026f9d0efb7cabdc34ae
Documentation
The Land Degradation Surveillance Framework (LDSF) is designed to provide a biophysical baseline at landscape level, and a monitoring and evaluation framework for assessing processes of land degradation and the effectiveness of rehabilitation measures (recovery) over time. This f...
Adobe PDF - 1.5 MB - MD5: 3e9e3699f524026f9d0efb7cabdc34ae
The Land Degradation Surveillance Framework (LDSF) is designed to provide a biophysical baseline at landscape level, and a monitoring and evaluation framework for assessing processes of land degradation and the effectiveness of rehabilitation measures (recovery) over time. This f...
Adobe PDF - 1.5 MB - MD5: 3e9e3699f524026f9d0efb7cabdc34ae
Documentation
The Land Degradation Surveillance Framework (LDSF) is designed to provide a biophysical baseline at landscape level, and a monitoring and evaluation framework for assessing processes of land degradation and the effectiveness of rehabilitation measures (recovery) over time. This f...
MS Word - 61.2 KB - MD5: c99ea674f006577f0e4195ecc2ba600e
DocumentationQuestionnaire
Questionnaire used for village focus group discussions.
MS Word - 97.5 KB - MD5: 9b1838b510a75e0f4e6255df33e537e0
DocumentationQuestionnaire
Questionnaire used for village focus group discussions.
application/vnd.ms-word.document.12 - 129.5 KB - MD5: 63b6d518cf7396f0c7d16298b3429c86
Household Questionnaire
Questionnaire that was used for data collection in Burkina Faso (French).
MS Word - 132.3 KB - MD5: 6d8482fadb2be9ebe97c39a1ff5b68d2
Household Questionnaire
This is the household questionnaire that was developed for data collection in the Mekong SL.
MS Word - 107.2 KB - MD5: 145063588a61aba8523bc918f0b6f766
Household Questionnaire
This is the household questionnaire that was developed for data collection in the Nicaragua-Honduras SL.
MS Word - 108.3 KB - MD5: 10cae645dbf67b77b41d8068f067f9df
Household Questionnaire
This is the household questionnaire that was developed for data collection in the Western Amazon SL.
Adobe PDF - 338.0 KB - MD5: 0809210381401579604bea76622a8d95
Household Questionnaire
This is the household questionnaire that was used for data collection in the Western Ghats SL.
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