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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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61 to 70 of 424 Results
Tab-Delimited - 176.4 KB - MD5: 8e94ce901f3518676921f82e3a91c62e
Data
Data on the main list of indicators computed from the Nile-Congo SL
Tab-Delimited - 620.3 KB - MD5: 227dd29ea52d838ebbabb2f767736b1a
Data
Data on the complete list of indicators computed from the Western Ghats SL
Tab-Delimited - 523.3 KB - MD5: 1596b5d83471427ee9925e0eb3411c01
Data
Data on the main list of indicators computed from the Western Ghats SL
Tab-Delimited - 396.8 KB - MD5: d3205043ecbd840ca68454fcac793cd3
Data
Data on complete list of indicators computed from the Western Amazon SL
Tab-Delimited - 344.5 KB - MD5: b5be48de75c45afb0e2f277a14721923
Data
Data on main list of indicators computed from the Western Amazon SL
Tab-Delimited - 5.5 MB - MD5: d527631b2455b3b992015923004f6db8
Data
Cleaned and verified household data from CAFHUT SL
Tab-Delimited - 8.9 MB - MD5: 830e7e7fd294e7a356260f1d6cd62780
Data
Cleaned and verified household data collected in the Mekong SL
Tab-Delimited - 1.1 MB - MD5: 87fbad8aba00069d5164af297e4f4c32
Data
Cleaned and verified household data from Nile-Congo SL
Unknown - 114.3 KB - MD5: 43b6d5d28fcf2e3c14be61f06c203389
CodeDocumentation
R script used in computation of livelihood indicators
Tab-Delimited - 2.6 MB - MD5: 872ea4551e122038e53cfb6ef7d44833
Data
Cleaned and verified household data from Western Amazon SL
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