Skip to main content

Dataverse

Looking for the numbers behind our science? Browse through our datasets, or search by key terms.

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.
Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Find Advanced Search

61 to 70 of 424 Results
Tab-Delimited - 422.8 KB - MD5: e92889d1511677344ba26935ebb5f01d
Data
Stata file for the calculated indicators.
Tab-Delimited - 422.8 KB - MD5: e3eb3b19b3d2775aaffaa65417890f40
Data
SPSS data file for the household indicators.
Comma Separated Values - 570.2 KB - MD5: a47316bb7ebbb1f00a28cea493d3a264
Data
Excel CSV file for the household indicators.
Tab-Delimited - 450.8 KB - MD5: 1cd79b28ad5c9f140f28659421be80e9
Data
Stata file for the household indicators.
Tab-Delimited - 450.5 KB - MD5: e711e8d47386c6a6d991182a964f7b41
Data
SPSS data file for the HH indicators
MS Word - 106.0 KB - MD5: d0e4c67022427445d61a7ec22d34c155
1. Village Level Questionnaire
application/vnd.ms-word.document.12 - 47.5 KB - MD5: c11033d83670edf48aa19305e69d05e0
1. Village Level Questionnaires
Questionnaire for the Forest form.
MS Word - 35.2 KB - MD5: eaa5f57747565139cf9f8b6c8cda1a3e
1. Village Level Questionnaires
Adobe PDF - 71.6 KB - MD5: f3a7b06c468e539a4bc2bd069ab6ddad
1. Village Level Questionnaires
Adobe PDF - 71.6 KB - MD5: f3a7b06c468e539a4bc2bd069ab6ddad
1. Village Level Questionnaire
Add Data

Sign up or log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.

Contact World Agroforestry (ICRAF) Support

World Agroforestry (ICRAF) Support

Please fill this out to prove you are not a robot.

+ =