Phuong Mai, Mai Phuong N., Lépine Mathilde, Rigal Clément, Thuong Thi Hong Nguyen, Duong Minh Tuan, Vaast Philippe.
2020. Local agroforestry knowledge and development of an online decision-support tool (shadetreeadvice.org) for selection of trees to be associated to coffee in Southeast Asia and beyond.
In : FTA 2020 Science Conference: Forests, trees and agroforestry science for transformational change: Book of abstracts. Gitz V., Meybeck A., Ricci F., Belcher B., Brady M.A., Coccia F., Elias M., Jamnadass R., Kettle C., Larson A., Li Y., Louman B., Martius C., Minang P., Sinclair F., Sist P., Somarriba E. (editors)
|
Version publiée
- Anglais
Sous licence . ID597894.pdf Télécharger (1MB) | Prévisualisation |
Résumé : In agroforestry systems (AFS), associated trees provide multiple ecosystem services and contribute to 1) improve soil fertility; 2) buffer climate extremes and help adapt to climate change, 3) provide refuge for biodiversity and a micro-climate favorable to biological antagonists to pests and diseases (P&D), and 4) diversify on-farm revenues (fruits, timber, fuelwood, fodder, medicinal products, honey, etc.) and reduce exposure to price volatility, particularly for crop commodities such as coffee or cocoa. Still, associated trees can also compete with crops underneath for water, light and nutrients, or favor some P&D, hence providing ecosystem disservices when farmers use locally inadequate tree species and/or poor agroforestry practices. There is an untapped wealth of knowledge gained by farmers over generations on agroforestry practices and ecosystem services and disservices provided by trees on their farms. The South-east Asia team has been working with male and female coffee farmers in Yunnan, China, Northwest Vietnam and Central Laos documenting the local knowledge on trees and refining an online decision-support tool (shadetreeadvice. org) to help select the right tree species adapted to the local context. This presentation will highlight some of the insights from the Yunnan, Laos and North Vietnam studies with respect to soil fertility, gender perceptions of trees and so on. It will present briefly the ongoing studies in Nicaragua, Central Vietnam, Cameroon and Colombia that will contribute to broaden the geographic scope of this tool. Finally, it will also present the latest developments to refine the online tool to make it more user-friendly.
Mots-clés libres : Agroforestry, Coffee, Local knowledge, Decision support tool
Auteurs et affiliations
- Phuong Mai, ICRAF (VNM)
- Mai Phuong N., ICRAF (VNM)
- Lépine Mathilde, ISTOM (FRA)
- Rigal Clément, CIRAD-PERSYST-UMR SYSTEM (VNM) ORCID: 0000-0002-6210-1101
- Thuong Thi Hong Nguyen, NOMAFSI (VNM)
- Duong Minh Tuan, ICRAF (VNM)
- Vaast Philippe, CIRAD-DGDRS (VNM)
Autres liens de la publication
Source : Cirad-Agritrop (https://agritrop.cirad.fr/597894/)
[ Page générée et mise en cache le 2021-03-17 ]