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Farmers’ local ecological knowledge of trees in coffee agroforestry systems in Nicaragua and Guatemala

Farmer's local knowledge on trees: coffee agroforestry systems in two Central American sites. A dissertation submitted in partial fulfillment of the requirements for the degree of Masters in Sustainable Tropical Forestry, Bangor University. Two coffee growing regions in Nicaragua and Guatemala were explored through the use of local knowledge. Over 90 coffee farmers from each site were interviewed, their knowledge collected trough the use of the Agroecological Knowledge Toolkit (AKT5), and a ranking exercise comparing trees for selected attributes was performed. Knowledge recorded on more than 43 trees and ranking of 32 species (for growth rate, leaf texture, root abundance, root texture, pruning tolerance, canopy density, leaf litter production and fuel quality (burn length)), provided valuable insight into the characteristics and roles of trees in the coffee field. Files include tabular data for species lists, ranking data and sample details. Moreover Local knowledge base for each country can be explored in AKT. To download AKT see: http://akt.bangor.ac.uk/

Dataset's Files

Guatemala LK raw statements.tab
MD5: 228aea1f9c97e90af2bb3cb497d8157d

Local knowledge statements recorded from farmers.


Guatemala Sample for ranking and interview.tab
MD5: ba0d9fdfd2bde33e13b18f30f574f651

Details about the sample of farmers that participated in the study


Guatemala_Tree frequency vernacular.tab
MD5: 9b6b756ee3599a78f847cf8724ebd5a7

Presence/Absence data about shade trees in coffee plots in Guatemala site


Nicaragua LK raw statements.tab
MD5: a1f9020fb699d4383c46d0b4fef98d06

Raw local knowledge statements from farms in Nicaragua.


Nicaragua Sample for ranking and interview.tab
MD5: 769a184920b61416fae66abd478f9246

Details about the sample of farmers that participated in the study


Terms of use
This dataset is made available under the Creative Commons Attribution 4.0 International license (CC-BY-4.0). The license allows you, the user, to copy and redistribute the material in any medium or format and/or transform, and build upon the material for any purpose, even commercially.
Creative Commons License.
Authors

Heinze, Alan; Lamond, Genevieve; Ordonez, Jenny C.; Sinclair, F.

Keywords

akt5, shade trees, bradley-terry model, local knowledge, ranking, agroforestry

Publisher

ICRAF data Central America

Publication date

10 May 2017

DOI

https://doi.org/10.34725/DVN/EX9JVT

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