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

411 to 420 of 476 Results
Comma Separated Values - 134.6 KB - MD5: ad20318c0a89cc49d5adfff65fa06c88
Data Files
Raw LDSF data downloaded from the gps units for El Tuma site.
Tab-Delimited - 182.8 KB - MD5: ce374a69081397526e02e70e76a5ed3d
Data Files
Raw LDSF data downloaded from the gps units for RioBlanco site.
Comma Separated Values - 156.8 KB - MD5: be3dafd6cd14010615b52c177159c708
Data Files
Raw LDSF data downloaded from the gps units for RioPlatano site.
Tab-Delimited - 22.3 KB - MD5: 14dbe421968e0c07e3a854dc38c661e7
Data Files
Organic Carbon and Total Nitrogen data for the 32 reference samples. These are the original data from IsoAnalytics Laboratory in the UK.
MS Excel Spreadsheet - 73.8 KB - MD5: 07833682f6be0f457b86cd8e49de4291
Data Files
Wet chemistry data for the 32 reference samples for each site. These are the original data from Crop Nutrition Laboratory in Nairobi.
Tab-Delimited - 216.5 KB - MD5: 8e6b0d885a4cbfa6913a3be1c9f482ec
Variables Description
Description of the variables in the ldsf data file.
Adobe PDF - 2.5 MB - MD5: 589e2db569d045407066ab3ce1bea37f
Documentation
One page trip report on the LDSF field training in Nicaragua.
Adobe PDF - 920.5 KB - MD5: 4f1b6bba79ca8506820f7438ee9b4a13
Documentation
Progress Report on the Nicaragua LDSF data (Enlgish).
Adobe PDF - 923.9 KB - MD5: 3707aacbaecaa14245a6ac0a4a836559
Documentation
Progress Report on the Nicaragua LDSF data (Spanish).
Adobe PDF - 297.7 KB - MD5: 46ac594e688ae98d0b0828ceb42fbdcc
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.

+ =