Tag: coffee


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  • Impacto del cambio climático sobre la cadena de valor del café en el Perú

Impacto del cambio climático sobre la cadena de valor del café en el Perú

07 May, 2018

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Climate change is affecting the value chain of Peruvian coffee. Changes in rainfall patterns and temperature variations reduce crop productivity and decrease its quality. The present study estimates that between 13% and 40% of the coffee area of the country’s northeast will no longer be suitable for coffee; these areas should develop adaptation strategies and actions that contemplate crop change. Between 85% and 45% of producers will have to carry out actions of incremental or systemic adaptation that allow crop sustainability, which includes sources of additional income.

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  • Local tree knowledge can fast-track agroforestry recommendations for coffee smallholders along a climate gradient in Mount Elgon, Uganda

Local tree knowledge can fast-track agroforestry recommendations for coffee smallholders along a climate gradient in Mount Elgon, Uganda

01 September, 2017

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Arabica coffee (Coffea arabica) is economically important for many smallholder farmers in the Mount Elgon region of East Uganda, but its production is increasingly threatened by climate change. However, ecosystem services (ES) provided by companion trees in coffee agroforestry systems (AFS) can help farmers adapt to climate change.

The objectives of this research were to develop agroforestry species recommendations and tailor these to the farmers’ needs and local context, taking into consideration gender. Local knowledge of agroforestry species and ES preferences was collected through farmer interviews and rankings. Using the Bradley-Terry approach, analysis was done along an altitudinal gradient in order to study different climate change scenarios for coffee suitability. Farmers had different needs in terms of ES and tree species at different altitudes, e.g. at low altitude they need a relatively larger set of ES to sustain their coffee production and livelihood. Local knowledge is found to be gender blind as no differences were observed in the rankings of species and ES by men and women.

Ranking species by ES and ranking ES by preference is a useful method to help scientists and extension agents to use local knowledge for the development of recommendations on companion trees in AFS for smallholder farmers.

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  • Turning local knowledge on Agroforestry into an online decision support tool for tree selection in smallholder farms

Turning local knowledge on Agroforestry into an online decision support tool for tree selection in smallholder farms

29 November, 2016

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Authors: JUST VAN DER WOLF, LAURENCE JASSOGNE, GIL GRAM and PHILIPPE VAAST

Abstract

This paper presents the main features of a unique decision-support tool developed for selecting tree species in coffee and cocoa agroforestry systems. This tool aims at assisting in the selection of appropriate shade trees taking into account local conditions as well as needs and preferences of smallholder farmers while maximizing ecosystem services from plot to landscape level. This user-friendly and practical tool provides site-specific recommendations on tree species selection via simple graphical displays and is targeted towards extension services and stakeholders directly involved in sustainable agroforestry and adaptation to climate change. The tool is based on a simple protocol to collect local agroforestry knowledge through farmers’ interviews and rankings of tree species with respect to locally perceived key ecosystem services. The data collected are first analysed using the BradleyTerry2 package in R, yielding the ranking scores that are used in the decision-support tool. Originally developed for coffee and cocoa systems of Uganda and Ghana, this tool can be extended to other producing regions of the world as well as to other cropping systems. The tool will be tested to see if repeated assessments show consistent ranking scores, and to see if the use of the tool by extension workers improves their shade tree advice to local farmers.

Published at Experimental Agriculture, Cambridge University Press

Open access

Publication year: 2016

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  • Projected climate change impacts on climatic suitability and geographical distribution of banana and coffee plantations in Nepal

Projected climate change impacts on climatic suitability and geographical distribution of banana and coffee plantations in Nepal

23 November, 2015

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World Agroforestry Centre 2015, Working Paper

Global circulation models all forecast that climate change will increase mean temperatures and change precipitation regimes. Change in bioclimatic conditions will impact the productivity of high-value agricultural crops. As a result of this change, traditional cash crop-growing regions may disappear and new regions may become available.

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