Table 1 Overview of the original data included in the dataset.
From: Nature’s contribution to poverty alleviation, human wellbeing and the SDGs
Project acronym(citation to original data/literature) | Countries | No. of settlements | No. of households | Landscape types |
|---|---|---|---|---|
Mozambique | 27 | 1614 | Woodland, agriculture | |
Colombia | 11 | 195 | Forest, agriculture, riverine | |
Peru | 9 | 250 | Forest, agriculture, riverine | |
Malawi | 6 | 675 | Forest, agriculture | |
Bangladesh | 63 | 1586 | Coastal, marine, mangroves, agriculture | |
Madagascar | 7 | 603 | Forest, agriculture | |
PEFESPA45 | India (Odisha) | 4 | 127 | Forest, agriculture |
Tanzania | 42 | 1922 | North: Grassland pasture, savannah (arid/semi-arid) South: Miombo woodland (subhumid, significant woodland canopy throughout) | |
India | 40 | 1112 | Forest, agriculture | |
Kenya | 4 | 786 | Coastal, marine, mangroves, agriculture | |
Mozambique | 4 | 351 | ||
Miyun56 | China | 15 | 1750 | Forest, agriculture |
