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1,341 to 1,350 of 1,351 Results
Gzip Archive - 288.7 KB - MD5: d347bed5827deadbb9ab7eb8c343769c
Data
Gap richness in high priority species for the Sweet Potato genepool. The 14 wild relatives of Sweet Potato are concentrated in South America and in Central Mexico up into the south-eastern United States. Areas identified for collecting the 12 high priority CWR species are distributed throughout this range.
Gzip Archive - 87.0 KB - MD5: c4d390191a435931262c631a8e692382
Data
Gap richness in high priority species for the Yam Lagos (Dioscorea cayennensis) genepool. The gap analysis methodology relies on taxonomic, geographic and environmental occurrence information, which is used to model the potential distribution of each CWR species of interest.
Gzip Archive - 293.0 KB - MD5: ee08acdc5ff94dcf8675a057088e36cc
Data
Gap richness in high priority species for the Yam Water (Dioscorea alata) genepool. The gap analysis methodology also includes an expert evaluation, in which researcher with knowledge of the conservation status and distribution of CWR in specific genepools are asked to analyse the gap analysis results.
Gzip Archive - 74.7 KB - MD5: 2c32d07a79470c837bbc24dd6dec9d90
Data
Gap richness in high priority species for the Yam White Guinea (Dioscorea rotundata) genepool. The gap analysis methodology relies on taxonomic, geographic and environmental occurrence information, which is used to model the potential distribution of each CWR species of interest.
Sep 30, 2014 - CIAT - International Center for Tropical Agriculture Dataverse
Eitzinger, Anton; Läderach, Peter; Bunn, Christian; Quiroga, Audberto; Benedikter, Andreas; Pantoja, Antonio; Gordon, Jason; Bruni, Michele, 2013, "Replication Data for: Implications of a changing climate on food security and smallholders’ livelihoods in Bogotá, Colombia", https://doi.org/10.7910/DVN/HA22TC, Harvard Dataverse, V2
In our multidisciplinary methodology, we translated the exposure to CC into direct impact on crops and assessed sensitivity and adaptive capacity using the sustainable rural livelihoods framework
May 7, 2014 - CIAT - International Center for Tropical Agriculture Dataverse
Ramirez Villegas, Julian; Challinor, Andrew J, 2014, "Assessing relevant climate data for agricultural applications", https://doi.org/10.7910/DVN/25626, Harvard Dataverse, V2
Data: Data tables with results of assessment of skill of CMIP3 global climate models as well as interpolation skill of WorldClim Study: Here we performed a review of relevant aspects in relation to coupling agriculture climate predictions, and a three-step analysis of the importance of climate.
MS Excel Spreadsheet - 6.6 MB - MD5: 2f9320d6140fe3ef378b1a920a214376
Data
MS Excel Spreadsheet - 54.0 KB - MD5: 8094a1bef807a9026afa3bb426e9fc7c
Data
MS Excel Spreadsheet - 79.0 KB - MD5: c5662fadb37356495d5bb13965f5052c
Data
MS Excel Spreadsheet - 13.4 MB - MD5: a2d3f820226a4ef622b60ca5b3e62143
Data
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