Abstract
This study was conducted to assess the soil and air temperature levels of dominant tree species in agroforestry systems that influence Coffea arabica productivity. A purposive sampling technique was employed to select villages and farms from different agroecological zones. The data collection methods included questionnaires and focus groups with key informants. Soil and air temperatures were measured using temperature sensors. General linear models in SAS were employed to analyze the temperature data and Statistical Package for Social Science for socio economic data. Dominant tree species included Grevillea robusta, Albizia schimperiana and Rauvolfia caffra. There was a significant difference in soil and air temperature regulation among tree species in the midland (p < 0.05), with mean temperature differences of 0.5–1.6 and 0.2–0.4 °C for soil and air temperature, respectively. G. robusta significantly regulates soil and air temperature in both highland and midland zones (p < 0.05) compared to the other studied tree species that had mean temperature differences of 0.2–1.6 and 0.3–0.4 °C for soil and air temperature, respectively. Since moderate temperature favours Coffee productivity, G. robusta is recommended in both the midland and highlands; however, it is imperative to investigate how the soil impacted by G. robusta affects coffee productivity.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Akbari H, Taha H (1992) The impact of trees and white surfaces on residential heating and cooling energy use in four Canadiancities. Energy 17(2):141–149
Albertin A, Nair PKR (2004) Farmers perspective on the role of shade trees in coffee production systems:an assessment from the Nicoya Peninsula, Costa Rica. Human Ecology 32:443
Beer J, Muschler R, Kass D, Somarriba E (1998) Shade management in coffee and cacaoplantations. Agrofor Syst 38:139–164
Caramori PH, Leal AC, Morais H (2004) Microclimatic characterization and productivity of coffee plants grown under shade of pigeon pea (Cajanus cajan) in Southern Brazil. Agrofor Syst 63:75–82
Daldo (2011) District agricultural and livestock development plans. Moshi District Council, Kilimanjaro Region, Tanzania, 22
Doering OC (2002) Effects of climate change and variability on agricultural production systems. Kluwer, Dordrecht
Gommes R (2002) Environment, climate change and bioenergy division. Food and Agriculture Organization of the United Nations
International Centre for Research in Agroforestry (2008) Transforming lives and landscapes. ICRAF strategy 2008–2015. World Agroforestry Centre, Nairobi, Kenya, 48
IPCC (2014) Climate Change 2014: impacts, adaptation, and vulnerability. Part B: regional aspects. In: Barros VR, Field CB, Dokken DJ, Mastrandrea MD, Mach KJ, Bilir TE, Chatterjee M, Ebi KL, Estrada YO, Genova RC, Girma B, Kissel ES, Levy AN, MacCracken S, Mastrandrea PR, White LL (eds) Contribution of working group II to the fifth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge, p 688
Kayunze KA (2003) Social science research methods. Sokoine University of Agriculture, Morogoro, p 42
Kidd CV, Pimentel D (1992) Integrated resource management in agroforestry for development. Academic Press, San Diego, p 233
Kothari CR (1990) Research methodology: methods and techniques, 2nd edn. New Age International (P) Limited Publishers, New Delhi
Lin BB (2007) Agroforestry management as an adaptive strategy against potentialmicroclimate extremes in coffee agriculture. Agric For Met 144:85–94
Lin BB, Perfecto I, Vandermeer J (2008) Synergies between agricultural intensification and climate change could create surprising vulnerabilities for crops. Bioscience 58:847–854
Lott JE, Ong CK, Black CR (2009) Understorey microclimate and crop performance in a Grevillea robusta-based agroforestry system in semi-arid Kenya. Agric For Meteorol 149:1140–1151
Mhando DG, Haller T, Mbeyale G, Ludi E (2013) Adaptation to changes in the coffee value chain and the price of coffee among coffee producers in two villages in Kilimanjaro, Tanzania. Afr Study Monogr 34(1):27–56
Muthuri CW (2004) Impact of agroforestry on crop performance and water resources in semi-arid central Kenya. Ph.D. thesis, Jomo Kenyatta University of Agriculture and Technology, Kenya, 292
Ogunkunle CO, Awotoye OO (2011) Soil fertility under different tree cropping system in a southwestern zone of Nigeria. Not Sci Biol 3:123–128
Rao KPC, Verchot VL, Laarman J (2007) Adaptation to climate change through sustainable management and development of agroforestry systems. World Agroforestry Center, Nairobi, Kenya. An Open Access Journal published by ICRISAT
Shashua-Bar L, Hoffman ME (2000) Vegetation as a climatic component in the design of an Urban Street: an empirical model for predicting the cooling effect of urban green areas with trees. Energy Build 31(3):221–235
Singleton R, Straits B, Straits M (1993) Approaches to social research. Oxford, New York
Soini E (2006) Bird diversity and land use on the slopes of Mt. Kilimanjaro and the adjacent Plains, Tanzania. ICRAF Working Paper No. 11. World Agroforestry Centre, Nairobi, Kenya
Soto-Pinto L, Villalvazo-López V, Jiménez-Ferrer G, Ramírez-Marcial N, Montoya G (2007) Multistrata coffee systemsin Chiapas, Mexico. Biodivers Conserv 16:419–436
Tanzania Coffee Board (2012) Coffee industry development strategy 2011–2021. [http://www.coffeeboard.or.tz/News_publications/startegy_english.pdf]. Retrieved on 10 February, 2016
United Republic of Tanzania (URT) (2003) The 2002 Population and Housing Census, Central Census Office, National Bureau of Statistics, President’s Office, Planning and Privatization, Dar es salaam. [http://www.Tanzania.go.tz/census/regions.tm] site visited on 16/3/2012
URT (2002) Coffee Industry Act. Government Printer, Dar Es Salaam. 2012. Macro economic policy framework for five-year development plan/budget 2012/13–2015/16. Ministry of Finance, Government Printer, Dar Es Salaam
Van Noordwijk M, Hoang MH, Neufeldt H, Öborn I, Yatich T (2011) How trees and people can co-adapt to climate change: reducing vulnerability through multifunctional agroforestry landscapes. World Agroforestry Centre (ICRAF), Nairobi
Verchot LV, Van Noordwijk M, Kandji S, Tomich T, Ong C, Albrecht A, Palm C (2007) Climate change: linking adaptation and mitigation through agroforestry. Mitig Adapt Strateg Glob Change 12(5):901–918
Wilson TD, Brook RM, Tomlinson HF (1997). Interactions between NERE (PARKIA BIGLOBOSA) and under-planted sorghum in a Parkland system In: BURKINA FASO Expl Agric (1998), vol 34, pp 85–99
Zongolo SA, Kiluvia S, Mghase G (2000) UmbweOnana PRA report. Traditional Irrigation and Environmental Development Organization, Moshi
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing AG
About this chapter
Cite this chapter
Kajembe, J., Lupala, I., Kajembe, G., Mugasha, W., Nuru, F. (2016). The Role of Selected Agroforestry Trees in Temperature Adaptation on Coffea arabica: A Case Study of the Moshi District, Tanzania. In: Lal, R., Kraybill, D., Hansen, D., Singh, B., Mosogoya, T., Eik, L. (eds) Climate Change and Multi-Dimensional Sustainability in African Agriculture. Springer, Cham. https://doi.org/10.1007/978-3-319-41238-2_29
Download citation
DOI: https://doi.org/10.1007/978-3-319-41238-2_29
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-41236-8
Online ISBN: 978-3-319-41238-2
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)