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Factors influencing farmer choices of use of shade trees in coffee fields around Mount Elgon, Eastern Uganda

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Abstract

The debate on integration of shade trees on farmers’ fields is lately becoming more pronounced due to the increasing land fragmentation, particularly in the highlands where the number of trees on farm is reducing drastically. In these farmlands, the choice of shade trees is the result of complex farmers’ analyses and valuation of tradeoffs among the increasing productivity, socioeconomic and environmental benefits. However, little is known about what coffee farmers specifically base their decisions on to select and grow shade trees in their fields. This study therefore identified the key reasons behind farmers’ choices of use of shade trees in coffee fields on Mount Elgon, Eastern Uganda using the Unified Theory of Use and Acceptance of the Technology framework. A cross-sectional study was conducted with 120 respondents and complimented with focus group discussions. A Structural Equation Modelling technique was conducted to examine the usage of shade trees. Results show facilitating conditions also known as institutional factors were significant in explaining the choices of farmers to use shade trees, with the effect stronger on soils of low fertility. Effort expectancy and social influence only marginally influenced use. The model explains 69% of the variance in choice to use shade trees in coffee agroforestry systems. Mediation by soil fertility, gender and experience explain 23%, 16%, and 4%; respectively. Effort expectancy and the existence of adequate facilitating conditions increased females’ choices to use shade trees. This study underscores the consideration for location specific technology facilitating conditions, social influence and ease of use, for long standing technologies, by farming support institutions, decision-makers and development partners in designing and disseminating sustainable agricultural management strategies for implementation in coffee-based agroforestry systems.

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References

  • Abu-Shanab EA (2017) E-government familiarity influence on Jordanians’ perceptions. Telematics Inform 34(1):103–113. https://doi.org/10.1504/IJPSPM.2017.10005371

    Article  Google Scholar 

  • Agea JG, Obua J, Waiswa D, Okia CA, Okullo JB (2010) Farmers’ attitudes towards on-farm cultivation of indigenous fruit trees in Adwari Sub-County, Lira District, Uganda. Ethnobotanical Leaflets 2010(3):13

    Google Scholar 

  • Akudugu MA, Guo E, Dadzie SK (2012) Adoption of modern agricultural production technologies by farm households in Ghana. What factors influence their decisions

  • Amaoko-Gyampah K (2007) Perceived usefulness, user involvement and behavioral intention: an empirical study of ERP implementation. Comput Hum Behav 23(3):1232–1248. https://doi.org/10.1016/j.chb.2004.12.002

    Article  Google Scholar 

  • Arbuckle JL (2014) IBM® SPSS® Amos™ 23User’s Guide. IBM SPSS Amos Development Corporation, USA, p 701

    Google Scholar 

  • Asafu-Adjaye J (2008) Factors affecting the adoption of soil conservation measures: A case study of Fijian cane farmers. J Agric Resour Econ 99–117. DOI: https://doi.org/10.22004/ag.econ.36710

  • ASARECA (2019) The Association for Strengthening Agricultural Research in Eastern and Central Africa (ASARECA) Annual Corporate Report

  • Bonabana-Wabbi J, Mogoka H, Semalulu O, Kirinya J, Mugonola B (2016) Adoption of integrated soil fertility management by groundnut farmers in Eastern Uganda. J Dev Agricultural Econ 8(4):86–94

    Article  Google Scholar 

  • Bosselmann AS, Dons K, Oberthur T, Olsen CS, Ræbild A, Usma H (2009) The influence of shade trees on coffee quality in small holder coffee agroforestry systems in Southern Colombia. Agric Ecosyst Environ 129(1–3):253–260

    Article  Google Scholar 

  • Buehren N, Goldstein M, Molina E, Vaillant J (2019) The impact of strengthening agricultural extension services on women farmers: Evidence from Ethiopia. Agric Econ 50(4):407–419

    Article  Google Scholar 

  • Buyinza J, Nuberg IK, Muthuri CW, Denton MD (2020a) Psychological Factors Influencing Farmers’ Intention to Adopt Agroforestry: A Structural Equation Modeling Approach. J Sustainable Forestry 1–12. https://doi.org/10.1080/10549811.2020.1738948

  • Buyinza J, Nuberg IK, Muthuri CW, Denton MD (2020b) Assessing smallholder farmers’ motivation to adopt agroforestry using a multi-group structural equation modeling approach. Agroforest Syst 94(6):2199–2211. doi: https://doi.org/10.1007/s10457-020-00541-2

    Article  Google Scholar 

  • Byabashaija MD, Esegu JFO, Kidiya JM, Basoga M, Ondia K (2004) Traditional uses of indigenous tree species. Uganda J agricultural Sci 9(1):367–371

    Google Scholar 

  • Carter L, Christian SL, Hobbs J, Campbell R (2011) The role of security and trust in the adoption of online tax filing. Transforming Government: People Process and Policy 5(4):303–318. https://doi.org/10.1108/17506161111173568

    Article  Google Scholar 

  • Cerdán CR, Rebolledo MC, Soto G, Rapidel B, Sinclair FL (2012) Local knowledge of impacts of tree cover on ecosystem services in smallholder coffee production systems. Agric Syst 110:119–130. https://doi.org/10.1016/j.agsy.2012.03.014

    Article  Google Scholar 

  • Chemura A, Kutywayo D, Chidoko P, Mahoya C (2016) Bioclimatic modelling of current and projected climatic suitability of coffee (Coffea arabica) production in Zimbabwe. Reg Environ Change 16:473–485. https://doi.org/10.1007/s10113-015-0762-9

    Article  Google Scholar 

  • David II, Abbyssinia M (2017) Factors affecting smallholder farmers’ perception regarding their use of soil conservation practices: Evidence from farming at Qamata Irrigation Scheme, South Africa. J Hum Ecol 59(2–3):82–91. https://doi.org/10.1080/09709274.2017.1353581

    Article  Google Scholar 

  • Davis AP, Gole TW, Baena S, Moat J (2012) The impact of climate change on indigenous Arabica coffee (Coffea arabica): predicting future trends and identifying priorities. PLoS ONE 7(11):e47981. https://doi.org/10.1371/journal.pone.0047981

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Davis FD (1989) Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q 13(3):318–340

    Article  Google Scholar 

  • Degrande A, Schreckenberg K, Mbosso C, Anegbeh P, Okafor V, Kanmegne J (2006) Farmers’ fruit tree-growing strategies in the humid forest zone of Cameroon and Nigeria. Agroforest Syst 67(2):159–175. https://doi.org/10.1007/s10457-005-2649-0

    Article  Google Scholar 

  • Deressa TT, Hassan RM, Ringler C, Alemu T, Yesuf M (2009) Determinants of farmers’ choice of adaptation methods to climate change in the Nile Basin of Ethiopia. Glob Environ Change 19:248–255. DOI:https://doi.org/10.1016/j.gloenvcha.2009.01.002

    Article  Google Scholar 

  • Dhanya B, Sathish BN, Viswanath S, Purushothaman S (2014) Ecosystem services of native trees: experiences from two traditional agroforestry systems in Karnataka, Southern India. Int J Biodivers Sci Ecosyst Serv Manage 10(2):101–111. https://doi.org/10.1080/21513732.2014.918057

    Article  Google Scholar 

  • Dumont ES, Gassner A, Agaba G, Nansamba R, Sinclair F (2019) The utility of farmer ranking of tree attributes for selecting companion trees in coffee production systems. Agroforest Syst 93(4):1469–1483. https://doi.org/10.1007/s10457-018-0257-z

    Article  Google Scholar 

  • Dwivedi YK, Shareef MA, Simintiras AC, Lal B, Weerakkody V (2016) A generalized adoption model for services: A cross-country comparison of mobile health (m-health). Government Inform Q 33(1):174–187. DOI: https://doi.org/10.1016/j.giq.2015.06.003

    Article  Google Scholar 

  • Food and Agriculture Organization (FAO) (2016) FAOSTAT Statistical Database. Food and Agriculture Organization, Rome, Italy [Rome]. http://www.fao.org/faostat/en/

  • Fornell C, Larcker DF (1981) Evaluating structural equation models with unobservable variables and measurement error. J Mark Res 18:39–50. https://doi.org/10.1177/002224378101800104

    Article  Google Scholar 

  • Fox G, Mooney J, Rosati P, Lynn T (2021) AgriTech Innovators: A Study of Initial Adoption and Continued Use of a Mobile Digital Platform by Family-Operated Farming Enterprises. Agriculture 11(12):1283

    Article  Google Scholar 

  • Fridell M, Hudson I, Hudson M (2008) With friends like these: the corporate response to fair trade coffee. Rev Radical Political Econ 40(1):8–34. https://doi.org/10.1177/0486613407311082

    Article  Google Scholar 

  • Galabuzi C, Agaba H, Okia CA, Odoul J, Muthuri C (2021) Women and youths participation in agroforestry: What counts and what doesn’t around Mount Elgon, Uganda? J Mountain Sci Dec 18(12):3306–3320. https://doi.org/10.1007/s11629-021-6812-5

    Article  Google Scholar 

  • Galabuzi C, Sekatuba J, Agaba H, Werikhe G, Sekitto I, Carsan S, Okia CA, Muthuri CW (2020) Factors affecting adoption of Agroforestry by women and youths in Mt. Elgon Region, Uganda. World Agroforestry, Nairobi. http://apps.worldagroforestry.org/downloads/Publications/PDFS/PO20065.pdf

    Google Scholar 

  • Garrity D, Akinnifesi F, Ajayi O, Weldesemayat S, Mowo J, Kalinganire A et al (2010) Evergreen Agriculture: a robust approach to sustainable food security in Africa. Sci Sociol Econ Food Prod Access Food 2(3):197–214. https://doi.org/10.1007/s12571-010-0070-7

    Article  Google Scholar 

  • Gefen D, Straub D, Boudreau MC (2000) Structural equation modeling and regression: Guidelines for research practice. Commun association Inform Syst 4(1):7. https://doi.org/10.17705/1CAIS.00407

    Article  Google Scholar 

  • Government of Uganda (GOU) (2003) The National Forestry and Tree Planting Act. National Forestry and Tree Planting Act. Government Printer, Entebbe.

  • Gram G, Vaast P, van der Wolf J, Jassogne L (2018) Local tree knowledge can fast-track agroforestry recommendations for coffee smallholders along a climate gradient in Mount Elgon, Uganda. Agroforest Syst 92(6):1625–1638. https://doi.org/10.1007/s10457-017-0111-8

    Article  Google Scholar 

  • Hair JF, Black WC, Babin BJ, Anderson RE (2010) Multivariate data analysis: A global perspective. Pearson Education

  • Hair JF, Black WC, Babin BJ, Anderson RE, Tatham RL (eds) (2006) Multivariate data analysis.

  • Hakizimana C, Goldsmith P, Nunow AA, Roba AW, Biashara JK (2017) Land and agricultural commercialization in Meru County, Kenya: evidence from three models. J Peasant Stud 44(3):555–573. https://doi.org/10.1080/03066150.2016.1260555

    Article  Google Scholar 

  • Hess TJ, Joshi K, McNab AL (2010) An alternative lens for understanding technology acceptance: An equity comparison perspective. J Organizational Comput Electron Commer 20(2):123–154. https://doi.org/10.1111/j.1523-1739.2009.01386.x

    Article  Google Scholar 

  • Hu LT, Bentler PM (1999) Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Struct equation modeling: multidisciplinary J 6(1):1–55. https://doi.org/10.1080/10705519909540118

    Article  Google Scholar 

  • Huang Y, Ma K, Niklaus PA, Schmid B (2018) Leaf-litter over yielding in a forest biodiversity experiment in subtropical China. For Ecosyst 5(1):1–9. https://doi.org/10.1186/s40663-018-0157-8

    Article  Google Scholar 

  • Hung SY, Chang CM, Kuo SR (2013) User acceptance of mobile e-government services: An empirical study. Government Inform Q 30(1):33–44

    Article  Google Scholar 

  • ICO (2019) International Coffee Organization Statistics. International Coffee Organisation. http://www.ico.org/trade_statistics.asp. Accessed 07/04/2021

  • Ighodaro ID(2016) Smallholder Farmers’ Adoption Decision-Making Processes in their Utilization of Soil Conservation Practices Introduced by Extension Officers. PhD Thesis, Unpublished. South Africa: Department of Agricultural Economics and Extension, University of Fort Hare, Alice

  • Jha S, Bacon CM, Philpott SM, Mendez VE, Laderach P, Rice RA (2014) Shade coffee: update on a disappearing refuge for biodiversity. Bioscience 64:416–428. https://doi.org/10.1093/biosci/biu038

    Article  Google Scholar 

  • Kakuru V, Doreen M, Wilson M (2014) Adoption of on-farm tree planting in Kibaale District, Western Uganda. J sustainable forestry 33(1):87–98. https://doi.org/10.1080/10549811.2013.776965

    Article  Google Scholar 

  • Kalanzi F, Kyazze FB, Isubikalu P, Kiyingi I, Orikiriza LJB, Okia C, Guuroh RT (2021) Influence of Socio-Technological Factors on Smallholder Farmers’ Choices of Agroforestry Technologies in the Eastern Highlands of Uganda. Small-scale Forestry 20(4):605–626

    Article  Google Scholar 

  • Kamoutsis A, Chronopoulos K, Matsoukis A (2018) Altitude and Canopy Cover Effects on Air Temperature in a Mountainous Region of Ionian Islands, Greece. Curr World Environ 13(3):292. DOI:https://doi.org/10.12944/CWE.13.3.03

    Article  Google Scholar 

  • Kripanont N(2007) Examining a technology acceptance model of Internet usage by academics within Thai business schools, PhD thesis, University of Victoria, Melbourne

  • Krishnan S(2017) Sustainable coffee production. In Oxford Research Encyclopedia of Environmental Science

  • Kuria A, Lamond G, Pagella T, Gebrekirstos A, Hadgu K, Sinclair FL (2014) Local knowledge of farmers on opportunities and constraints to sustainable intensification of crop- livestock- trees mixed systems in Lemo Woreda. SNNPR Region, Ethiopian highlands

    Google Scholar 

  • Kyarikunda M, Nyamukuru A, Mulindwa D, Tabuti JR (2017) Agroforestry and Management of Trees in Bunya County, Mayuge District, Uganda. Int J Forestry Res. https://doi.org/10.1155/2017/3046924

    Article  Google Scholar 

  • Laderach P, Ramirez-Villegas J, Navarro-Racines C, Zelaya C, Martinez-Valle A, Jarvis A (2017) Climate change adaptation of coffee production in space and time. Clim Change 141:47–62. https://doi.org/10.1007/s10584-016-1788-9

    Article  Google Scholar 

  • Lavison RK(2013) Factors influencing the adoption of organic fertilizers in vegetable production in Accra. Doctoral dissertation, University of Ghana

  • Legesse B, Ayele Y, Bewket W (2013) Smallholder farmers’ perceptions and adaptation to climate variability and climate change in Doba district, West Harangue, Ethiopia. Asian J Empir Res 3:251–265

    Google Scholar 

  • Liebig TI(2017) Abundance of pests and diseases in Arabica coffee production systems in Uganda-ecological mechanisms and spatial analysis in the face of climate change (Doctoral dissertation)

  • Lopez-Rodriguez G, Sotomayor-Ramirez D, Amador JA, Schroder EC (2015) Contribution of nitrogen from litter and soil mineralization to shade and sun coffee (Coffea arabica L.) agroecosystems. Trop Ecol 56(2):155–167

    CAS  Google Scholar 

  • Luther ZR, Swinton SM, Van Deynze B (2020) What drives voluntary adoption of farming practices that can abate nutrient pollution? J Soil Water Conserv 75(5):640–650. https://doi.org/10.2489/jswc.2020.00184

    Article  Google Scholar 

  • Magrach A, Ghazoul J (2015) Climate and pest-driven geographic shifts in global coffee production: implications for forest cover, biodiversity and carbon storage. PLoS ONE 10(7):e0133071. https://doi.org/10.1371/journal.pone.0133071

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Meijer SS, Sileshi GW, Kundhlande G, Catacutan D, Nieuwenhuis M (2015) The role of gender and kinship structure in household decision-making for agriculture and tree planting in Malawi. J Gend Agric Food Secur (Agri-Gender) 1(302–2016–4750):54–76

    Google Scholar 

  • Mekonnen M (2021) Impacts of soil and water conservation practices after half of a generation age, northwest highlands of Ethiopia. Soil Tillage Res 205(104755):0167–1987. https://doi.org/10.1016/j.still.2020.104755

    Article  Google Scholar 

  • Meylan L, Gary C, Allinne C, Ortiz J, Jackson L, Rapidel B (2017) Evaluating the effect of shade trees on provision of ecosystem services in intensively managed coffee plantations. Agric Ecosyst Environ 245:32–42. https://doi.org/10.1016/j.agee.2017.05.005

    Article  Google Scholar 

  • Mfitumukiza D, Barasa B, Ingrid A(2017) Determinants of agroforestry adoption as an adaptation means to drought among smallholder farmers in Nakasongola District, Central

  • Mikkola M (2011) Social dynamics for sustainable food systems. Actors’ orientations towards sustainability in primary production and public consumption Uganda. Afr J Agric Res 12(23):2024–2035. DOI: https://doi.org/10.5897/AJAR2017.12219

    Article  Google Scholar 

  • Mugwe J, Mugendi D, Mucheru-Muna M, Merckx R, Chianu J, Vanlauwe B (2009) Determinants of the decision to adopt integrated soil fertility management practices by smallholder farmers in the central highlands of Kenya. Exp Agric 45(1):61–75. https://doi.org/10.1017/S0014479708007072

    Article  Google Scholar 

  • Mukasa C, Tibazalika A, Mango A, Muloki HN(2012)Gender and forestry in Uganda

  • Muleta DF, Assefa F, Nemomissa S, Granhall U (2011) Socioeconomic benefits of shade trees in coffee production systems in Bonga and Yayuhurumu districts, southwestern Ethiopia: farmers’ perceptions. Ethiop J Educ Sci 7(1):39–55

    Google Scholar 

  • Mulugo L, Kyazze FB, Kibwika P, Kikulwe E, Omondi AB, Ajambo S (2020) Unravelling technology-acceptance factors influencing farmer use of banana tissue culture planting materials in Central Uganda. Afr J Sci Technol Innov Dev 12(4):453–465

    Article  Google Scholar 

  • Murad MA, Thomson JD (2011) External environment factors influencing the technology adoption-diffusion decision in Malaysian manufacturing small medium enterprises (SMEs). Progress in Business Innovation & Technology Management 1(1):13–22

    Google Scholar 

  • Nath CD, Pélissier R, Ramesh BR, Garcia C (2011) Promoting native trees in shade coffee plantations of southern India: comparison of growth rates with the exotic Grevillea robusta. Agroforest Syst 83(2):107–119. DOI https://doi.org/10.1007/s10457-011-9401-8

    Article  Google Scholar 

  • Nath CD, Schroth G, Burslem DF (2016) Why do farmers plant more exotic than native trees? A case study from the Western Ghats, India. Agric Ecosyst Environ 230:315–328. https://doi.org/10.1016/j.agee.2016.05.013

    Article  Google Scholar 

  • Nato GN, Shauri HS, Kadere TT (2016) Influence of social capital on adoption of agricultural production technologies among beneficiaries. of African Institute for capacity development training programmes in Kenya

  • Nejadrezaei N, Allahyari MS, Sadeghzadeh M, Michailidis A, El Bilali H (2018) Factors affecting adoption of pressurized irrigation technology among olive farmers in Northern Iran. Appl Water Sci 8(6):1–9

    Article  CAS  Google Scholar 

  • Neupane RP, Sharma KR, Thapa GB (2002) Adoption of agroforestry in the hills of Nepal: a logistic regression analysis. Agric Syst 72(3):177–196. DOI:https://doi.org/10.1016/S0308-521X(01)00066-X

    Article  Google Scholar 

  • Nunnally JC, Bernstein IH (1994) Psychometric Theory. McGraw-Hill, Inc, New York

    Google Scholar 

  • Nyamukuru A, Nabatanzi A, Mpiira S, Tabuti JR (2015) Locally preferred woody species and their management in Kiruhura and Arua districts, Uganda. Ethnobotany Res Appl 14:049–61

    Article  Google Scholar 

  • Nyombi K, Esser KB, Zake JY (2006) Efforts by small-scale farmers to maintain soil fertility and their impacts on soil properties, Luwero district, Uganda. J Sustainable Agric 27(4):5–23

    Article  Google Scholar 

  • Okumus B, Ali F, Bilgihan A, Ozturk AB (2018) Psychological factors influencing customers’ acceptance of smartphone diet apps when ordering food at restaurants. Int J Hospitality Manage 72:67–77. DOI:https://doi.org/10.1016/J.IJHM.2018.01.001

    Article  Google Scholar 

  • Otieno EO, Ngetich FK, KiboiM N, MuriukiA, Adamtey NN (2021) Tillage system and integrated soil fertility inputs improve smallholder farmers’ soil fertility and maize productivity in the Central Highlands of Kenya. J Agric Rural Dev Tropics Subtropics (JARTS) 122(2):159–171. https://doi.org/10.17170/kobra-202107134319

    Article  Google Scholar 

  • Ovčjak B, Hericko M, Polancic G (2015) Factors impacting the acceptance of mobile data services–A systematic literature review. Comput Hum Behav 53:24–47. https://doi.org/10.1016/j.chb.2015.06.013

    Article  Google Scholar 

  • Pattanayak SK, Mercer DE, Sills E, Yang JC (2003) Taking stock of agroforestry adoption studies. Agroforest Syst 57(3):173–186. https://doi.org/10.1023/A:1024809108210

    Article  Google Scholar 

  • Pawarda C, Gadzirayi CT, Muriritirwa WT, Mwenye D (2010) Adoption of agroforestry technologies among smallholder farmers: a case of Zimbabwe. J Dev Agricultural Econ 2(10):351–358

    Google Scholar 

  • Rigal C, Vaast P, Xu J (2018) Using farmers’ local knowledge of tree provision of ecosystem services to strengthen the emergence of coffee-agroforestry landscapes in southwest China. PLoS ONE 13(9):e0204046. doi: https://doi.org/10.1371/journal.pone.0204046

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Rigal C, Vaast P, Xu J (2020) Young shade trees improve soil quality in intensively managed coffee systems recently converted to agroforestry in Yunnan Province, China. Plant Soil 453(1):119–137. DOI:https://doi.org/10.1007/s11104-019-04004-1

    Article  CAS  Google Scholar 

  • Roberto AJ, Goodall CE, Witte K (2020) Raising the alarm and calming fears: Perceived threat and efficacy during risk and crisis. Handbook of risk and crisis communication. Routledge, pp 285–301

  • Sabah NM (2016) Exploring students’ awareness and perceptions: Influencing factors and individual differences driving m-learning adoption. Comput Hum Behav 65:522–533. https://doi.org/10.1016/j.chb.2016.09.009

    Article  Google Scholar 

  • Schaper L, Pervan G (2007) A model of information and communication technology acceptance and utilization by occupational therapists. Stud Health Technol Inform 130:91–101. doi: https://doi.org/10.1016/j.ijmedinf.2006.05.028

    Article  PubMed  Google Scholar 

  • Segars AH (1997) Assessing the unidimensionality of measurement: A paradigm and illustration within the context of information systems research. Omega 25(1):107–121. https://doi.org/10.1016/S0305-0483(96)00051-5

    Article  Google Scholar 

  • Shin DH (2009) Towards an understanding of the consumer acceptance of mobile wallet. Comput Hum Behav 25(6):1343–1354. https://doi.org/10.1016/j.chb.2009.06.001

    Article  Google Scholar 

  • Siebert SF (2002) From shade-to sun-grown perennial crops in Sulawesi, Indonesia: implications for biodiversity conservation and soil fertility. Biodivers Conserv 11(11):1889–1902. https://doi.org/10.1023/A:1020804611740

    Article  Google Scholar 

  • Simmons CS, Walker RT, Wood CH (2002) Tree planting by small producers in the tropics: A comparative study of Brazil and Panama. Agroforest Syst 56:89–105. https://doi.org/10.1023/A:1021377231402

    Article  Google Scholar 

  • Souza HN, Cardoso IM, Fernandes JM, Garcia FCP, Bonfim VR, Santos AC, Carvalho AF, Mendonca ES (2010) Selection of native trees for intercropping with coffee in the Atlantic rainforest biome. Agroforest Syst 80:1–16

    Article  Google Scholar 

  • Tabachnick BG, Fidell LS (2007) Experimental designs using ANOVA. Thomson/Brooks/Cole, Belmont, CA, p 724

    Google Scholar 

  • TCI (2016) A brewing storm: the climate change risks to coffee. The Climate Institute. http://www.climateinstitute.org.au/coffee.html. Accessed 07/04/2021

  • Telles TS, Righetto AJ, da Costa GV, Volsi B, de Oliveira JF (2019) Conservation agriculture practices adopted in southern Brazil. Int J Agric Sustain 17(5):338–346. DOI: https://doi.org/10.1080/14735903.2019.1655863

    Article  Google Scholar 

  • Tibenderana P, Ogao P, Ikoja-Odongo J, Wokadala J (2010) Measuring levels of end-users’ acceptance and use of hybrid library services. Int J Educ Dev using ICT 6(2):33–54. https://doi.org/10.1080/14735903.2019.1655863

    Article  Google Scholar 

  • Tolessa K, D’heer J, Duchateau L, Boeckx P (2017) Influence of growing altitude, shade and harvest period on quality and biochemical composition of Ethiopian specialty coffee. J Sci Food Agric 97(9):2849–2857

    Article  CAS  PubMed  Google Scholar 

  • Trozzo KE, Munsell JF, Chamberlain JL (2014) Landowner interest in multifunctional agroforestry Riparian buffers. Agroforest Syst 88(4):619–629. https://doi.org/10.1007/s10457-014-9678-5

    Article  Google Scholar 

  • Turel O, Serenko A (2006) Satisfaction with mobile services in Canada: An empirical investigation. Telecomm Policy 30(5/6):314–331. https://doi.org/10.1016/j.telpol.2005.10.003

    Article  Google Scholar 

  • Uaiene R, Arndt C, Masters W(2009) Determinants of Agricultural Technology Adoption in Mozambique. Discussion papers No. 67E, National Directorate of Studies and Policy Analysis Ministry of Planning and Development, Republic of Mozambique

  • UCDA (2020) Uganda Coffee Development Authority (UCDA) Monthly report June

  • Vaast P, Martínez M, Boulay A, Castillo BD, Harmand JM (2015) Diversifying Central American coffee agroforestry systems via revenue of shade trees. Economics and Ecology of Diversification. Springer, Dordrecht, pp 271–281

    Chapter  Google Scholar 

  • van Rikxoort H, Schroth G, Laderach P, Rodriguez-Sanchez B (2014) Carbon footprints and carbon stocks reveal climate-friendly coffee production. Agron Sustain Dev 34:887–897. https://doi.org/10.1007/s13593-014-0223-8

    Article  CAS  Google Scholar 

  • Venkatesh V, Morris MG, Davis GB, Davis FD (2003) User acceptance of information technology: Toward a unified view. MIS Q 425–478. DOI:https://doi.org/10.2307/30036540

  • Venkatesh V, Thong JY, Xu X(2012) Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology.MIS quarterly157–178

  • Villamor GB, Catacutan DC, Van Anh TT, Thi LD (2017) Tree-cover transition in Northern Vietnam from a gender-specific land-use preferences perspective. Land Use Policy 61:53–62. https://doi.org/10.1016/j.landusepol.2016.11.002

    Article  Google Scholar 

  • Wildlife Conservation Society (WCS) (2016) Nationally threatened species for Uganda

  • Williams M, Rana N, Dwivedi Y, Lal B(2011) Is UTAUT really used or just cited for the sake of it? A systematic review of citations of UTAUT’s originating article

  • Williams MD, Rana NP, Dwivedi YK (2015) The unified theory of acceptance and use of technology (UTAUT): a literature review. Journal of enterprise information management

  • Yemane M(1967) Elemantary Sampling Theory, Printice-Hall Inc. Englewood Cliffs, New Jersey, USA

Download references

Acknowledgements

I acknowledge and thank Mr. Geoffrey Kimenya, Mr. Simon Wayaka and Mr. Ivan Wanambwa for their dedication to the work in the field and the small holder farmers that gladly provided the information.

Funding

The first author acknowledges funding from DAAD-RUFORUM In country/In region scholarship programme for sponsoring the field work. Ref. No.: 91671658.

Author information

Authors and Affiliations

  1. Department of Extension and Innovation Studies, Makerere University, P.O Box 7062, Kampala, Uganda

    Esther Sebuliba, Prossy Isubikalu, Nelson Turyahabwe & Majaliwa Mwanjalolo J. G.

  2. Department of Forestry, Biodiversity and Tourism, Makerere University, P.O Box 7062, Kampala, Uganda

    Gerald Eilu

  3. Department of Developmental Studies, Kyambogo University, P.O Box 1, Kampala, Uganda

    Harriet Kebirungi

  4. Department of Environmental Management, Makerere University, P.O Box 7062, Kampala, Uganda

    Anthony Egeru

  5. Regional Universities Forum for Capacity Building in Higher Education (RUFORUM), P O Box 16811, Kampala, Uganda

    Adipala Ekwamu

Authors
  1. Esther Sebuliba
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  2. Prossy Isubikalu
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  3. Nelson Turyahabwe
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  4. Majaliwa Mwanjalolo J. G.
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  5. Gerald Eilu
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  6. Harriet Kebirungi
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  7. Anthony Egeru
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  8. Adipala Ekwamu
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All authors have made sufficient contribution to the paper.

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Correspondence to Esther Sebuliba.

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Sebuliba, E., Isubikalu, P., Turyahabwe, N. et al. Factors influencing farmer choices of use of shade trees in coffee fields around Mount Elgon, Eastern Uganda. Small-scale Forestry 22, 213–234 (2023). https://doi.org/10.1007/s11842-022-09523-x

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