Factors Influencing Forest Dependency on the Gola Rainforest Reserve in Sierra Leone

Authors

  • Philip Anderson Samura

DOI:

https://doi.org/10.47604/ijes.2433
Abstract views: 84
PDF downloads: 33

Keywords:

Dependency, Deforestation, Education, Mixed Methods, Sierra Leone

Abstract

Purpose: Forests are under intense human pressure due to a high level of dependency. Understanding socioeconomic and demographic incentives surrounding forest dependence is critical to mitigating the adverse impacts of forest degradation in Africa. Therefore, this study examines the factors promoting household forest dependence in Sierra Leone's Gola Rainforest Reserve through four research questions: (1) What is the contribution of forest income relative to total household income? (2) What are the key sources of relative forest income? (3) How do gender, age, and education influence forest dependency? (4) What factors drive dependence on forest resources?

Methodology: The study's target population was rural households living near the Gola Rainforest Reserve in Gaura and Tunkia Chiefdoms in the Kenema district. The study used convenience sampling. A questionnaire and an interview guide were used for data collection. It drew from 101 survey responses analyzed using descriptive and inferential statistics, binary logistic regression on S.P.S.S., and then —seven expert interviews and three focus group discussions explored with thematic analysis on Google Docs. The study used tables and figures for data presentation.

Findings: The study's results showed four key findings. First, forest income accounts for 46% of monthly household income in the sampled community. Second, the top five sources of forest income are cocoa (74%), moringa tea (9%), timber wood (4%), forest spices (4%), and forest fruit and vegetables (3%). Third, age, education, and gender influence forest dependence. Fourth, livelihood and direct consumption are the key factors driving dependence on forest resources. Therefore, the study recommended that decision-makers and conservationists consider socioeconomic factors like gender, age, education, and livelihood when designing forest management projects, strategies, or policies.  

Unique Contribution to Theory, Practice, and Policy: The study’s outcome contributes to the growing literature on forest dependency. It provides key insights into the significant contribution of forest resources to household income. Analyzing the influence of socio-demographic factors, like gender, age, and education, on forest resources enhances the understanding of resource-use patterns. This study allows forest conservationists, government decision-makers, and academics to develop projects, policies, and strategies from an informed perspective, considering socio-economic realities, to promote sustainable forest management practices in Sierra Leone and other developing countries to mitigate deforestation.

Downloads

Download data is not yet available.

References

Abu-Kpawoh, J.C. (2017). Deforestation in Gola Forest Region, Sierra Leone: Geospatial Evidence and a Rice Farmer’s Expected Utility Analysis - https://www.proquest.com/openview/01d240f082f5f485abfdb66f54d44eff/1?pq-origsite=gscholar&cbl=18750.

Adam, Y.O. & El Tayeb, A.M. (2014). Forest Dependency And Its Effect On Conservation In Sudan: A Case Of Sarf-Saaid Reserved Forest In Gadarif State. Agriculture & Forestry, Vol. 60 Issue 3: 107-121, 2014, Podgorica 107 https://media.proquest.com/media/hms/ORIG/1/LQJgC?_s=E8eTYdQP3MbmwSZiYCassGyb7H0%3D

Ajzen, I. (1991). The theory of planned behavior. 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-t

Andrade, C., Menon, V., Ameen, S., & Praharaj, S. K. (2020). Designing and Conducting Knowledge, Attitude, and Practice Surveys in Psychiatry: Practical Guidance - Chittaranjan Andrade, Vikas Menon, Shahul Ameen, Samir Kumar Praharaj, 2020. Indian Journal of Psychological Medicine. https://journals.sagepub.com/doi/10.1177/0253717620946111

Angelsen, A., Jagger, P., Babigumira, R., Belcher, B., Hogarth, N.J., Bauch, S., Borner, J., Smith-Hall, C., Wunder, S. (2014). Environmental income and rural livelihoods: a global-comparative analysis. World Development 64:S12–S28. https://doi.org/10.1016/j.worlddev.2014.03.006

Babulo, B., Muys, B., Nega, F., Tollens, E., Nyssen, J., Deckers, J., & Mathijs, E. (2021). Household livelihood strategies and forest dependence in the highlands of Tigray, Northern Ethiopia. Agricultural Systems, 98(2), 147–155. https://www.academia.edu/22183586/Household_livelihood_strategies_and_forest_dependence_in_the_highlands_of_Tigray_Northern_Ethiopia

Baiyegunhi, L.J.S., Oppong, B.B., & Senyolo, M.G. (2016). Socio-economic factors influencing mopane worm (Imbrasia belina) harvesting in Limpopo Province, South Africa. J For Res 27(2):443–452 https://www.researchgate.net/publication/292138727_Socio-economic_factors_influencing_mopane_worm_Imbrasia_belina_harvesting_in_Limpopo_Province_South_Africa

Bulte, E., Kontoleon, A., List, J., Mokuwa, E., Richards, P., Turley, T., et al. (2013). REDD + SOCIO-ECONOMIC DESCRIPTIVE ANALYSIS. Final Report. Gola Rainforest National Park, Sierra Leone

Butler, R. A. (2011). Tropical Rainforest Conservation. https://rainforests.mongabay.com/deforestation/2000/Sierra_Leone.htm

Chao, S. (2012). Forest peoples numbers across world. http://www.forestpeoples.org/sites/fpp/files/publication/2012/05/forest-peoples-numbers-across-world-final_0.pdf

Chhetri, B.B.K., Johnsen, F. H., Konoshima, M. & Yoshimoto, A. (2013). Community Forestry in The Hills of Nepal: Determinants of User Participation in Forest Management. Forest Policy and Economics, 30, 6–13. https://doi.org/10.1016/j.forpol.2013.01.010

FAO. (2020). Terms and Definitions FRA 2020. https://www.fao.org/3/I8661EN/i8661en.pdf

FAO. (2022). The State of the World’s Forests 2022. Forest Pathways for Green Recovery and Building Inclusive, Resilient and Sustainable Economies. https://doi.org/10.4060/cb9360en

FAO. (2020). Global Forest Resources Assessment 2020. FAO. https://doi.org/10.4060/ca8753en

Fekadu, A., Soromessa, T., and Dullo, B.W. (2021). Role of forest provisioning services to local livelihoods: based on relative forest income (RFI) approach in southwest Ethiopia coffee forest. https://doi.org/10.1186/s40068-021-00223-7

Fikir, D., Tadesse, W., & Gure, A. (2016). Economic Contribution to Local Livelihoods and Households Dependency on Dry Land Forest Products in Hammer District, Southeastern Ethiopia. International Journal of Forestry Research, 2016, 1–11. https://doi.org/10.1155/2016/5474680

Firey, W. (1961). Man, Mind and Land: A Theory of Resource Use. The American Catholic Sociological Review, 22(2), 182. doi:10.2307/3708953.

Fonta, W.M. & Ayuk, E.T. (2013). Measuring the role of forest income in mitigating poverty and inequality: evidence from south-eastern Nigeria. Forests, Trees and Livelihoods 22(2):86–105. https://doi.org/10.1080/14728028.2013.785783

Garekae, H., Thakadu, O. T., & Lepetu, J. (2017). Socio-economic factors influencing household forest dependency in Chobe enclave, Botswana. Ecological Processes, 6(1). https://doi.org/10.1186/s13717-017-0107-3

Government of Sierra Leone. (2021). Updated Nationally Determined Contribution. https://www4.unfccc.int/sites/ndcstaging/PublishedDocuments/Sierra%20Leone%20First/210804%202125%20SL%20NDC%20(1).pdf

Gunatilake, H. (1998). The role of rural development in protecting tropical rainforests: evidence from Sri Lanka. Journal of Environmental Management 53(3):273–292. https://www.sciencebase.gov/catalog/item/5053d007e4b097cd4fcf20d4

Hegde, R. I., & Enters, T. (2000). Forest products and household economy: a case study from Mudumalai Wildlife Sanctuary, Southern India. Environmental Conservation, 27(3), 250–259. https://doi.org/10.1017/s037689290000028x

Heinen, J.T. (1993). Park-People Relations in Kosi Tappu Wildlife Reserve, Nepal: A Socio-economic Analysis. Environmental Conservation Vol. 20, No. 1 , pp. 25-34. https://www.jstor.org/stable/44521726

Horton, M. (2021, May 17) Simple Random Sample: Advantages and Disadvantages. https://www.investopedia.com/ask/answers/042815/what-are-disadvantages-using-simple-random-sample-approximate-larger-population.asp

Howe, C., Suich, H., Vira, B., & Mace, G.M. (2014). Creating win-wins from trade-offs? Ecosystem services for human well-being: a meta-analysis of ecosystem service trade-offs and synergies in the real world. Glob Environ Chang 28:263–275. https://doi.org/10.1016/j.gloenvcha.2014.07.005

Hungerford, H. R. and Volk, T.L. (1990) . (n.d.). Changing learner behavior through Environmental Education. http://www.elkhornsloughctp.org/uploads/files/1374624954Changing%20learner%20behavior%20-%20H%20and%20V.pdf

Htun, T., Wen, Y., & Ko Ko, A. C. (2017). Assessment of Forest Resources Dependency for local livelihood around Protected Area: A Case Study in Popa Mountain Park, Central Myanmar. International Journal of Sciences, 3(01), 34–43. https://doi.org/10.18483/ijsci.1176

Infield, M. (1988). Attitudes of a rural community towards conservation and a local conservation area in Natal, South Africa. Biological Conservation, 45(1), 21–46. https://doi.org/10.1016/0006-3207(88)90050-x

Kar, S. P., & Jacobson, M. J. (2012). NTFP income contribution to household economy and related socio-economic factors: Lessons from Bangladesh. Forest Policy and Economics, 14(1), 136–142. https://doi.org/10.1016/j.forpol.2011.08.003

Khan, M.A.S. and Saimun, S.R. (2021). Forest Dependency: Status, Assessment Tools, and Influencing Factors. (2020). ResearchGate. https://doi.org/10.1007//978-3-319-71065-5_24-1

Kideghesho, J. R. (2015). Realities on Deforestation in Tanzania — Trends, Drivers, Implications and the Way Forward. InTech EBooks. https://doi.org/10.5772/61002

Lepetu, J., Alavalapati, J., & Nair, P. (2009). Forest Dependency and Its Implication for Protected Areas Management: A case Study From Kasane Forest Reserve, Botswana. Int. J. Environ. Res, 3(4), 525–536. https://tspace.library.utoronto.ca/bitstream/1807/49471/1/er09058.pdf

Liao, X., Thi, & Lowe, A. J. (2022). Use of the knowledge, attitude, and practice (KAP) model to examine sustainable agriculture in Thailand. 3(1), 41–52. https://doi.org/10.1016/j.regsus.2022.03.005

Mirza, B. & Szirmai, A. (2010). Towards a new measurement of energy poverty: A cross-community analysis of rural Pakistan. MERIT Working Papers 2010-024, United Nations University – Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT). https://www.researchgate.net/publication/46433662_Towards_a_new_measurement_of_energy_poverty_A_cross-community_analysis_of_rural_Pakistan

Mukul, S.A., Rashid, A.Z.M.M., Uddin, M.B., and Khan, N.A. (2016). Role of non-timber forest products in sustaining forest-based livelihoods and rural households' resilience capacity in and around the protected area: a Bangladesh study. Journal of Environmental Planning and Management 59:628–642. https://doi.org/10.1080/09640568.2015.1035774

Mujawamariya, G. & Karimov, A. A. (2014). Importance of socio-economic factors in the collection of NTFPs: The case of gum Arabic in Kenya. Forest Policy and Economics, 42, 24–29. https://doi.org/10.1016/j.forpol.2014.02.005

Nagendra, H. (2011, November). Heterogeneity and Collective Action for Forest Management. Human Development Research Papers (2009 to Present); Human Development Report Office (HDRO), United Nations Development Programme (UNDP). https://ideas.repec.org/p/hdr/papers/hdrp-2011-02.html

Nepal, S.K. & Weber, K.E. (1995). Prospects for Coexistence: Wildlife and Local People. Ambio Vol. 24, No. 4, pp. 238-245. https://www.jstor.org/stable/4314336

Njora, B., & Yilmaz, H. (2022). Analysis of the Effects of Deforestation on the Environment and Agriculture in Kenya. Int. Journal of Water Management and Diplomacy. https://dergipark.org.tr/en/download/article-file/2112021

Ntiyakunze, M.S. & Stage, J.(2021). Forest dependence in developing countries: The role household heterogeneities. https://www.diva-portal.org/smash/get/diva2:1584789/FULLTEXT01.pdf

Ntiyakunze, M., & Stage, J. (2022). Forest dependence in Tanzania: Analysis of the determinants of perceived forest dependence. Trees, Forests and People, 8, 100277–100277. https://doi.org/10.1016/j.tfp.2022.100277

Ofoegbu, C., Chirwa,P. W., Francis, J., & Babalola, F. D. (2017). Socio-Economic Factors Influencing Household Dependence On Forests And Its Implication For Forest-Based Climate Change Interventions. Southern Forests: A Journal of Forest Science. https://www.tandfonline.com/doi/abs/10.2989/20702620.2016.1255420

Pattanayak, S. K., Sills, E. O., Mehta, A. D., & Kramer, R. A. (2003). Local Uses of Parks: Uncovering Patterns of Household Production from Forests of Siberut, Indonesia. Conservation and Society, 1(2), 209. https://www.conservationandsociety.org.in/article.asp?issn=0972-4923;year=2003;volume=1;issue=2;spage=209;epage=222;aulast=Pattanayak

Soe, K.T. and Yeo-Chang, Y. (2019). Livelihood dependency on non-timber forest products: Implications for REDD+. Forests, 10(5), 427. https://doi.org/10.3390/f10050427.

Statistics Sierra Leone. (2015). Re-analysis of the 2015 Population and Housing Census. https://www.statistics.sl/images/StatisticsSL/Documents/Census/2015/sierraleone_-2015_population_census_data_for_16_districts_5_regions.pdf.

Sunderland, T., Powell, B., Ickowitz, A., Foli, S., Pinedo-Vasquez, M., Nasi, R., Padoch, C. (2013). Food security and nutrition: The role of forests. CIFOR Discussion Paper No. 1. Center for International Forestry Research, Bogor. https://www.cifor.org/publications/pdf_files/WPapers/DPSunderland1301.pdf

Taherdoost, H. (2016). Sampling Methods in Research Methodology; How to Choose a Sampling Technique for Research. SSRN Electronic Journal, 5(2), 18–27. https://doi.org/10.2139/ssrn.3205035

Tejada, J., Raymond, J., & Punzalan, B. (2012). On the Misuse of Slovin’s Formula. https://www.psai.ph/docs/publications/tps/tps_2012_61_1_9.pdf

Thurmond, V. A. (2001). The Point of Triangulation. Journal of Nursing Scholarship, 33(3), 253–258. https://doi.org/10.1111/j.1547-5069.2001.00253.x

UNESCO. (2022). Gola-Tiwai Complex. https://whc.unesco.org/en/tentativelists/6589/.

United Nations. (2021). Involving Communities to Strengthen Forest Management. | Department of Economic and Social Affairs. https://sdgs.un.org/partnerships/involving-communities-strengthen-forest-management

United Nations Department of Economic and Social Affairs & United Nations Forum on Forests Secretariat (2021). The Global Forest Goals Report 2021. https://www.un.org/esa/forests/wp-content/uploads/2021/08/Global-Forest-Goals-Report-2021.pdf

Vandamme, E. (2009). Concepts and Challenges in the Use of Knowledge-Attitude-Practice Surveys Literature Review. Department of Animal Health Institute, Institute of Tropical Medicine, Antwerp. - References - Scientific Research Publishing. (2016). Scirp.org. https://www.scirp.org/(S(351jmbntvnsjt1aadkposzje))/reference/ReferencesPapers.aspx?ReferenceID=1885577

Vedeld, P., Angelsen, A., Bojö, J., Sjaastad, E., & Berg, K.G. (2007). Forest environmental incomes and the rural poor. Forest Policy and Economics 9(7):869–879 https://doi.org/10.1016/j.forpol.2006.05.008

World Bank. (2021). Forests and Terrestrial Ecosystems (Landscapes). https://www.worldbank.org/en/topic/forests

World Health Organization. (2008). Advocacy, communication and social mobilization for TB control: a guide to developing knowledge, attitude and practice surveys. https://apps.who.int/iris/bitstream/handle/10665/43790/9789241596176_eng.pdf

Downloads

Published

2024-03-30

How to Cite

Samura, P. (2024). Factors Influencing Forest Dependency on the Gola Rainforest Reserve in Sierra Leone. International Journal of Environmental Sciences, 7(1). https://doi.org/10.47604/ijes.2433

Issue

Section

Articles