Replication Data for: Restoration Database for Latin America and the Caribbean. Comparative Research Project on Landscape Restoration for Emissions Reductions, CIAT/WUR project for USAID
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
View Archive InfoField | Value | |
Title |
Replication Data for: Restoration Database for Latin America and the Caribbean. Comparative Research Project on Landscape Restoration for Emissions Reductions, CIAT/WUR project for USAID
|
|
Identifier |
https://doi.org/10.7910/DVN/B9OUOZ
|
|
Creator |
Romijn, J.E.
Coppus, R. |
|
Publisher |
Harvard Dataverse
|
|
Description |
This database is produced as part of the Comparative Research Project on Landscape Restoration for Emissions Reductions, a collaboration between Wageningen University and Research (Laboratory of Geo-Information Science and Remote Sensing) and The International Center for Tropical Agriculture (CIAT), supported by USAID. The aim of this research project is to map and characterize planned, ongoing and finished restoration projects in LAC countries. The database contains detailed project information from 154 restoration projects in LAC. Projects from various initiatives (20x20, GEF, UNFCCC CDM, FIP, and many others) are included in the database. We used project reports and information from websites from the various initiatives to assemble project information for this database. Projects from the following databases were included:
|
|
Subject |
Agricultural Sciences
Earth and Environmental Sciences Ecological restoration Forest landscape restoration Latin America and the Caribbean Agroecosystems and Sustainable Landscapes - ASL |
|
Language |
English
|
|
Date |
2018-06
|
|
Contributor |
Bejarano Lozano, Yesica
|
|
Relation |
Murcia, C., Guariguata, M.R., Andrade, A., Andrade, G.I., Aronson, J., Escobar, E.M., Etter, A., Moreno, F.H., Ramirez, W., Montes, E.. 2016. Challenges and Prospects for Scaling-up Ecological Restoration to Meet International Commitments : Colombia as a Case Study. Conservation Letters, 9 (3) : 213-220. http://dx.doi.org/10.1111/conl.12199
|
|
Type |
Qualitative Data
Soil Data Categorical Data abstracted from desciptions |
|