Local tree knowledge can fast-track agroforestry recommendations for coffee smallholders along a climate gradient in Mount Elgon, Uganda
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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dig-cirad-fr-5855072024-01-29T00:31:42Z http://agritrop.cirad.fr/585507/ http://agritrop.cirad.fr/585507/ Local tree knowledge can fast-track agroforestry recommendations for coffee smallholders along a climate gradient in Mount Elgon, Uganda. Gram Gil, Vaast Philippe, van der Wolf Just, Jassogne Laurence. 2018. Agroforestry Systems, 92 (6) : 1625-1638.https://doi.org/10.1007/s10457-017-0111-8 <https://doi.org/10.1007/s10457-017-0111-8> Local tree knowledge can fast-track agroforestry recommendations for coffee smallholders along a climate gradient in Mount Elgon, Uganda Gram, Gil Vaast, Philippe van der Wolf, Just Jassogne, Laurence eng 2018 Agroforestry Systems F08 - Systèmes et modes de culture P40 - Météorologie et climatologie E50 - Sociologie rurale agroforesterie Coffea arabica petite exploitation agricole exploitation agricole familiale adaptation aux changements climatiques changement climatique services écosystémiques choix des espèces savoirs autochtones genre (femmes/hommes) http://aims.fao.org/aos/agrovoc/c_207 http://aims.fao.org/aos/agrovoc/c_1721 http://aims.fao.org/aos/agrovoc/c_7113 http://aims.fao.org/aos/agrovoc/c_2787 http://aims.fao.org/aos/agrovoc/c_1374567058134 http://aims.fao.org/aos/agrovoc/c_1666 http://aims.fao.org/aos/agrovoc/c_1348040570280 http://aims.fao.org/aos/agrovoc/c_33964 http://aims.fao.org/aos/agrovoc/c_35704 http://aims.fao.org/aos/agrovoc/c_34835 Ouganda http://aims.fao.org/aos/agrovoc/c_8038 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. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/585507/7/Gram2018_Article_LocalTreeKnowledgeCanFast-trac.pdf text Cirad license info:eu-repo/semantics/openAccess https://agritrop.cirad.fr/mention_legale.html https://doi.org/10.1007/s10457-017-0111-8 10.1007/s10457-017-0111-8 info:eu-repo/semantics/altIdentifier/doi/10.1007/s10457-017-0111-8 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1007/s10457-017-0111-8 |
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F08 - Systèmes et modes de culture P40 - Météorologie et climatologie E50 - Sociologie rurale agroforesterie Coffea arabica petite exploitation agricole exploitation agricole familiale adaptation aux changements climatiques changement climatique services écosystémiques choix des espèces savoirs autochtones genre (femmes/hommes) http://aims.fao.org/aos/agrovoc/c_207 http://aims.fao.org/aos/agrovoc/c_1721 http://aims.fao.org/aos/agrovoc/c_7113 http://aims.fao.org/aos/agrovoc/c_2787 http://aims.fao.org/aos/agrovoc/c_1374567058134 http://aims.fao.org/aos/agrovoc/c_1666 http://aims.fao.org/aos/agrovoc/c_1348040570280 http://aims.fao.org/aos/agrovoc/c_33964 http://aims.fao.org/aos/agrovoc/c_35704 http://aims.fao.org/aos/agrovoc/c_34835 http://aims.fao.org/aos/agrovoc/c_8038 F08 - Systèmes et modes de culture P40 - Météorologie et climatologie E50 - Sociologie rurale agroforesterie Coffea arabica petite exploitation agricole exploitation agricole familiale adaptation aux changements climatiques changement climatique services écosystémiques choix des espèces savoirs autochtones genre (femmes/hommes) http://aims.fao.org/aos/agrovoc/c_207 http://aims.fao.org/aos/agrovoc/c_1721 http://aims.fao.org/aos/agrovoc/c_7113 http://aims.fao.org/aos/agrovoc/c_2787 http://aims.fao.org/aos/agrovoc/c_1374567058134 http://aims.fao.org/aos/agrovoc/c_1666 http://aims.fao.org/aos/agrovoc/c_1348040570280 http://aims.fao.org/aos/agrovoc/c_33964 http://aims.fao.org/aos/agrovoc/c_35704 http://aims.fao.org/aos/agrovoc/c_34835 http://aims.fao.org/aos/agrovoc/c_8038 |
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F08 - Systèmes et modes de culture P40 - Météorologie et climatologie E50 - Sociologie rurale agroforesterie Coffea arabica petite exploitation agricole exploitation agricole familiale adaptation aux changements climatiques changement climatique services écosystémiques choix des espèces savoirs autochtones genre (femmes/hommes) http://aims.fao.org/aos/agrovoc/c_207 http://aims.fao.org/aos/agrovoc/c_1721 http://aims.fao.org/aos/agrovoc/c_7113 http://aims.fao.org/aos/agrovoc/c_2787 http://aims.fao.org/aos/agrovoc/c_1374567058134 http://aims.fao.org/aos/agrovoc/c_1666 http://aims.fao.org/aos/agrovoc/c_1348040570280 http://aims.fao.org/aos/agrovoc/c_33964 http://aims.fao.org/aos/agrovoc/c_35704 http://aims.fao.org/aos/agrovoc/c_34835 http://aims.fao.org/aos/agrovoc/c_8038 F08 - Systèmes et modes de culture P40 - Météorologie et climatologie E50 - Sociologie rurale agroforesterie Coffea arabica petite exploitation agricole exploitation agricole familiale adaptation aux changements climatiques changement climatique services écosystémiques choix des espèces savoirs autochtones genre (femmes/hommes) http://aims.fao.org/aos/agrovoc/c_207 http://aims.fao.org/aos/agrovoc/c_1721 http://aims.fao.org/aos/agrovoc/c_7113 http://aims.fao.org/aos/agrovoc/c_2787 http://aims.fao.org/aos/agrovoc/c_1374567058134 http://aims.fao.org/aos/agrovoc/c_1666 http://aims.fao.org/aos/agrovoc/c_1348040570280 http://aims.fao.org/aos/agrovoc/c_33964 http://aims.fao.org/aos/agrovoc/c_35704 http://aims.fao.org/aos/agrovoc/c_34835 http://aims.fao.org/aos/agrovoc/c_8038 Gram, Gil Vaast, Philippe van der Wolf, Just Jassogne, Laurence Local tree knowledge can fast-track agroforestry recommendations for coffee smallholders along a climate gradient in Mount Elgon, Uganda |
description |
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. |
format |
article |
topic_facet |
F08 - Systèmes et modes de culture P40 - Météorologie et climatologie E50 - Sociologie rurale agroforesterie Coffea arabica petite exploitation agricole exploitation agricole familiale adaptation aux changements climatiques changement climatique services écosystémiques choix des espèces savoirs autochtones genre (femmes/hommes) http://aims.fao.org/aos/agrovoc/c_207 http://aims.fao.org/aos/agrovoc/c_1721 http://aims.fao.org/aos/agrovoc/c_7113 http://aims.fao.org/aos/agrovoc/c_2787 http://aims.fao.org/aos/agrovoc/c_1374567058134 http://aims.fao.org/aos/agrovoc/c_1666 http://aims.fao.org/aos/agrovoc/c_1348040570280 http://aims.fao.org/aos/agrovoc/c_33964 http://aims.fao.org/aos/agrovoc/c_35704 http://aims.fao.org/aos/agrovoc/c_34835 http://aims.fao.org/aos/agrovoc/c_8038 |
author |
Gram, Gil Vaast, Philippe van der Wolf, Just Jassogne, Laurence |
author_facet |
Gram, Gil Vaast, Philippe van der Wolf, Just Jassogne, Laurence |
author_sort |
Gram, Gil |
title |
Local tree knowledge can fast-track agroforestry recommendations for coffee smallholders along a climate gradient in Mount Elgon, Uganda |
title_short |
Local tree knowledge can fast-track agroforestry recommendations for coffee smallholders along a climate gradient in Mount Elgon, Uganda |
title_full |
Local tree knowledge can fast-track agroforestry recommendations for coffee smallholders along a climate gradient in Mount Elgon, Uganda |
title_fullStr |
Local tree knowledge can fast-track agroforestry recommendations for coffee smallholders along a climate gradient in Mount Elgon, Uganda |
title_full_unstemmed |
Local tree knowledge can fast-track agroforestry recommendations for coffee smallholders along a climate gradient in Mount Elgon, Uganda |
title_sort |
local tree knowledge can fast-track agroforestry recommendations for coffee smallholders along a climate gradient in mount elgon, uganda |
url |
http://agritrop.cirad.fr/585507/ http://agritrop.cirad.fr/585507/7/Gram2018_Article_LocalTreeKnowledgeCanFast-trac.pdf |
work_keys_str_mv |
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_version_ |
1792499345616011264 |