Identifying the factors that influence the decision of farmers in the Imam Sahib District of Kunduz Province, Afghanistan to plant trees
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Abstract. Omerkhil N, Ahmad L, Khurram S. 2024. Identifying the factors that influence the decision of farmers in the Imam Sahib District of Kunduz Province, Afghanistan to plant trees. Asian J For 8: 146-156. For years, agroforestry has been employed as a sustainable management approach to enhance and provide services and products traditionally obtained from natural forests. This study focuses to analyze the factors that influence farmers' farm tree planting decisions. We focused on the Imam Sahib District of Kunduz Province, Afghanistan and collected data from 160 households in 32 villages, and within each village, five farmer families randomly selected for a face-to-face interview and data collection using a randomized snowball sampling strategy. A binary logistic regression model was developed using the acquired data to identify the features influencing farmers' tree-planting decisions. The findings reveal that several variables affect the propensity of tree planting and the intensity of agroforestry technology. These factors include the income of the head of farmer households, availability of irrigated farmland, large cropping land, and prior tree planting experience. Conversely, factors such as education, limited access to planting materials, large family size, availability of tree seedlings, and age of the head of the households, loan, and insurance facilities can influence farmers' decisions and adaptation practices. So far, education plays an important role in strengthening farmers' understanding of the limits, opportunities, and needs of new technologies in the form of short-term training. This might mitigate the unfavorable relationship between the age of the family head and willingness to use agroforestry practices on their farmland. These findings, particularly the potential of education to improve farmers' adoption of agroforestry practices, can help strengthen the National Agroforestry Policy to promote tree planting among the farmers, achieve targets for tree coverage, and reduce pressure on natural forests in Kunduz and other provinces and countries with similar situations.
2017-01-01
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References
Adesina AA, Mbila D, Nkamleu GB, Endamana D. 2000. Econometric analysis of the determinants of adoption of alley farming by the farmers in the forest zone of southern Cameroon. Agric Econ Syst Environ 80 (3): 255-265. DOI: 10.1016/S0167-8809(00)00152-3.
Agresti A. 1996. An Introduction to Categorical Data Analysis. John Wiley and Sons, New York.
Aich V, Khoshbeen AJ. 2016. Afghanistan: Climate Change Science Perspectives. National Environmental Protection Agency (NEPA) and UN Environment, Kabul.
Akinnifesi FK, Chirwa PW, Ajayi OC, Sileshi G, Matakala P, Kwesiga FR, Harawa H, Makumba W. 2008. Contributions of agroforestry research to livelihood of smallholder farmers in southern Africa: Taking stock of the adaptation, adoption and impact of fertilizer tree options. Agric J 3 (1): 58-75.
Ali A, Erenstein O. 2017. Assessing farmer use of climate change adaptation practices and impacts on food security and poverty in Pakistan. Clim Risk Manag 1 (2): 35-48. DOI: 10.1016/j.crm.2016.12.001.
Ashraf J, Rajiv P, Jong WD, Nagar B. 2018. Factors influencing farmers'’ decisions to plant trees on their farms in Uttar Pradesh, India. J For Environ Sci 2 (3): 256-267. DOI: 10.1007/s11842-015-9289-7.
Basamba TA, Mayanja C, Kiiza B, Nakileza B, Matsiko F, Nyende P, Kukunda EB, Tumushabe A, Ssekabira K. 2016. Enhancing adoption of agroforestry in the eastern agro-ecological zone of Uganda. Intl J Ecol Sci Environ Eng 3 (1): 20-31.
Belda M, Haltanová E, Holenke T, Kavlová J. 2014. Climate classification revisited: From Koëppen to Trewartha. Clim Res 59: 1-13. DOI: 10.3354/cr01204.
Brockhaus M, Gregoria , Djoudi H, Moleiono M, Pham TT, Wong GY. 2021. The forest fontier in the global south: Climate change policies and the promise of development and equity. Ambio 1 (2): 346-351. DOI: 10.1007/s13280-021-01602-1.
Buyinza M, Wambede N. 2008. Extension for agroforestry technology adoption: Mixed intercropping of crotalaria (Crotalaria grahamiana) and maize (Zea mays L.) in Kabale District, Uganda. Environ Res J 2 (3): 131-137.
Cosmas P, Christopher G, Chaarles K, Vincent TM. 2012. A review of agro forestry technologies adoption among smallholder farmers in Zimbabwe. J Sustain Dev Stud 1 (1): 68-92.
CSO. 2017. Socio-Demographic and Economic Survey. Survey Report of Central Statistic Organization, Kabul, Afghanistan.
Dhiman CR. 2012. Transforming rural Uttar Pradesh through integrating tree culture on farm land: A case study of WIMCO'’s Poplar Programme. Lucknow Manag Assoc Conv J 8 (1): 85-98.
Faham E, Rezvanfar A, Shamekhi T. 2008 Analysis of factors influencing motivation of villagers' participation in activities of social forestry (the case study of West Mazandaran). Am J Agric Biol Sci 3 (2): 451-456. DOI: 10.3844/ajabssp.2008.451.456.
FAO. 2003. Trees and Bushes of Afghanistan. Rome Italy.
FAO. 2012. Country Profile – Afghanistan. FAO Aquastat Report, Version 2012. Rome, Italy.
FAO. 2016. Land Cover Atlas of the Islamic Republic of Afghanistan. FAO, Kabul, Afghanistan.
FAO. 2018. 15 Years in Afghanistan a Special Report: 2003-2018. Rome.
Ficko A, Boncina A. 2013. Probabilistic typology of management decision making in private forest properties. For Policy Econ 27: 34-43. DOI: 10.1016/j.forpol.2012.11.001.
Gebru BM, Wang SW, Kim SJ, Lee WK. 2019. Socio-ecological niche and factors affecting agroforestry practice adoption in different agro-ecologies of southern Tigray, Ethiopia. Sustainability 11 (13): 729. DOI: 10.3390/su11133729.
Ghadim AKA, Pannell DJ. 1999. A conceptual framework of adoption of an agricultural innovation. J Intl Assoc Agric Econ 21 (2): 145-154. DOI: 10.1111/j.1574-0862.1999.tb00590.x.
Groninger, John W. 2014. Forestry and Forestry education in Afghanistan. J For 104 (8): 426-430. DOI: 10.1093/jof/104.8.426.
Jara-Rojas R, Russy S, Roco L, Fleming-Muñoz D, Engler A. 2020. Factors affecting the adoption of agroforestry practices: Insights from silvopastoral systems of Colombia. Forests 11: 684. DOI: 10.3390/f11060648.
Khurram S, Shalizi MN, Bashari M, Akamani K, Groninger JW. 2024. Barriers and opportunities regarding community-based forest management in Afghanistan: considerations for fragile states. Environ Conserv 51 (1): 6-16. DOI: 10.1017/S0376892923000280.
Kinyili BM, Ndunda E, Kitur E. 2020. Socio-economic and institutional factors influencing adoption of agroforestry in arid and semi-arid (ASALs) areas of Sub Saharan Africa. Intl J For Hortic 6 (1): 8-18. DOI: 10.20431/2454-9487.0601002.
Kulindwa YJ. 2016. Key factors that influence households' tree planting behavior. Nat Resour Forum 40 (1-2): 37-50. DOI: 10.1111/1477-8947.12088.
Lambert O, Ozioma AF. 2011. Adoption of improved agroforestry technologies among contact farmers in Imo State, Nigeria. Asian J Agric Rural Dev 2 (1): 1-9.
Lönnstedt L. 2012. Small Scale forest owners’ responsibilities: Results from a Swedish Case Study. Small-scale For 11 (3): 407-416. DOI: 10.1007/s11842-011-9187-6.
Magugu JW, Feng S, Ototo G. 2018. Socio-economic factors affecting agro-forestry technology adoption in Nyando, Kenya. J Water Land Dev 39 (1): 83-91. DOI: 10.2478/jwld-2018-0062.
Ministry of Agriculture Irrigation and Livestock (MAIL). 2019. Resettlement due Diligence Report AFG: Panj Amu River Basin Sector Projects. Ministry of Agriculture Irrigation and Livestock, Kabul, Afghanistan.
Moheb Z, Jahid N, Noori H. 2016. Bactrian Deer (Cervus elaphus bactrianus) still exist in Afghanistan. DSG Newsl 28: 5-12.
NEPA. 2019. Afghanistan' Afghanistan'’s sixth National Report to The United Nation'’s Convention on Biological Diversity. National Environmental Protection Agency Kabul, Afghanistan.
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: 10.1016/S0308-521X (01)00066-X.
Omerkhil N, Chand T, Valente D, Alatalo JM, Pandey R. 2020. Climate change vulnerability and adaptation strategies for smallholder farmers in Yangi Qala District, Takhar, Afghanistan. Ecol Indic 110: 105863. DOI: 10.1016/j.ecolind.2019.105863.
Place F, Ajayi OC, Torquebiau E, Detlefsen G, Gauthier M, Buttoud G. 2012. Improved Policies for Facilitating the Adoption of Agroforestry. In: Kaonga ML (eds). Agroforestry for Biodiversity and Ecosystem Services: Science and Practice. IntTechOpen, Rijeka. DOI: 10.5772/34524.
Raina R, Hara SS, Hara V, Irland LC. 2011. Twenty-first century forest plantations: Development of agroforestry in Haryana. J Resour Energy Dev 8 (2): 67-74. DOI: 10.3233/RED-120084.
Reddy CS, Saranya KRL. 2017. Earth observation data for assessment of nationwide land cover and long-term deforestation in Afghanistan. Glob Planet Chang 155: 155-164. DOI: 10.1016/j.gloplacha.2017.07.005.
Sadiq GA, Omerkhil N, Zada KA, Safdary AJ. 2019. Evaluation of growth and yield performance of five cucumbers (Cucumis sativus L.) genotypes; Case study Kunduz Province, Afghanistan. Intl J Adv Educ Res 4 (6): 22-28.
Saha S, Sharmin A, Biswas R, Ashaduzzaman MD. 2018. Farmers’ Perception and Adoption of Agroforestry Practices in Faridpur District of Bangladesh. Intl J Environ Agric Biotechnol 3 (6): 1987-1994. DOI: 10.22161/ijeab/3.6.5.
Shalizi MN, Khurram S, Groninger JW, Ruffner CM, Burney OT. 2018. Indigenous knowledge and stand characteristics of a threatened tree species in a highly insecure area: Chilgoza pine in Afghanistan. For Ecol Manag 413: 1-8. DOI: 10.1016/j.foreco.2018.01.053.
Sharma SK, Sudhir C, Sharma SK, Kaur B, Arya ID. 2009. Opportunities and major constraint'’s in agroforestry systems of western UP: A vital role of Star Paper Mills, Saharanpur (UP) – India. Agric Biol J N Am 1 (3): 343-349. DOI: 10.5251/abjna.2010.1.3.343.349.
Shin S, Soe KT, Lee H, Kim TH, Lee S, Park MS. 2020. A systematic map of agroforestry research focusing on ecosystem services in the Asia-Pacific Region. Forests 11: 368. DOI: 10.3390/f11040368.
Sidibe M. 2005. Farm-level adoption of soil and water conservation techniques in northern Burkina Faso. Agric Water Manag 71 (3): 211-224. DOI: 10.1016/j.agwat.2004.09.002.
Suyanto S, Permana RP, Khususiyah N, Joshi N. 2005. Land tenure, Agroforestry Adoption, and reduction of fire hazard in a forest zone: A case study from Lampung, Sumatra, Indonesia. Agrofor Syst 65: 1-11. DOI: 10.1007/s10457-004-1413-1.
Tefera SA, Lerra MD. 2016. Determinants of farmers decision making for plant Eucalyptus trees in Market District, North Willow, Ethiopia. Res Hum Soc Sci 6 (13): 123-146.
Thangata PH, Alavalapati JRR. 2003. Agroforestry adoption in southern Malawi: The case of mixed intercropping of Gliricida sepium and maize. Agric Syst 78 (1): 57-71. DOI: 10.1016/S0308-521X(03)00032-5.
Tremblay S, Lucotte M, Revert JP, Davidson R, Mertens F, Passos JS, Romana CA. 2014. Agroforestry systems as a profitable alternative to slash and burn practices in small-scale agriculture of the Brazilian Amazon. Agrofor Syst 89: 193-204. DOI: 10.1007/s10457-014-9753-y.
UNEP. 2013. Afghanistan Post-Conflict Environmental Assessment; First Published in Switzerland by the United Nations Environment Programme. First published in Switzerland by the University of Notre Dame Afghanistan Notre Dame Global Adaptation Index. http://index.gain.org/country/afghanistan
USAID. 2017. Kunduz Province profile. College of Agriculture and Environmental Sciences. International Programs ip. ucdavis. edu. USAID report, 2017, http:// Afghanag.ucdavis. edu/ Afghanistan-province-agriculture profile.
WMO. 2018. The State of the Global Climate in 2018 (World Meteorological Organization), DOI: 10.1029/2018GL079362.
Zomer RJ, Bossio DA, Trabucco A, Yuanjie L, Gupta DC, Singh VP. 2007. Trees and Water: Smallholder Agroforestry on Irrigated lands in Northern India. IWMI Research Report 122 International Water Management Institute, Colombo Sri Lanka.