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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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31 to 40 of 476 Results
Comma Separated Values - 2.5 MB - MD5: ff81ba4d6c2b80b185127759bbb1678f
Computed Household Indicator file
Tab-Delimited - 4.6 MB - MD5: 3cfe89d605638f891ac843bcd5bf6167
Data
Data of all the computed indicators from various sections of the SL Household Module in a STATA format.
Sep 18, 2019 - SLIndicators
Chiputwa, Brian; Makui, Parmutia; Gassner, Anja, 2019, "SL Calculated Household Indicators combined data", https://doi.org/10.34725/DVN/YRAL4O, World Agroforestry - Research Data Repository, V3, UNF:6:Yz5NUN5Zm0xNclBTzxM88g== [fileUNF]
Combined data of all indicators and a subset with the main indicators computed from various sections of the SL Household module
Tab-Delimited - 21.0 KB - MD5: a33f52d997e415d7886ddc10c36b7f92
Tab-Delimited - 23.8 KB - MD5: 5f066cbc390385ffa12df645285a46e7
Tab-Delimited - 50.3 KB - MD5: 709037a21f094c7e219ed7c66a961b5d
4. Variables Description
MS Excel Spreadsheet - 40.5 KB - MD5: 128f3e463a974f6c4cd69082d325172a
Data
Wet chemistry data from soil analysis of soil samples from Pando
Tab-Delimited - 7.1 KB - MD5: 95163a90df4d66699a13b7a64a123a66
Data
Carbon and nitrogen data from soil analysis of soil samples from Pando
Unknown - 103.0 KB - MD5: 516d227142d3f320d0859166aea1790c
2. Data Entry Application
Tab-Delimited - 3.5 MB - MD5: 14e8b1fd2ae79357b9ab9cc41be0f8af
3. Data Files
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