The Influence of Household Dynamics on Ruminant Livestock Production Systems and the Kakamega Forest Ecosystem, Kenya

https://doi.org/10.51867/ajernet.6.1.70

Autores

Palavras-chave:

Forage, Fodder Crops, Household Dynamics, Kakamega Forest, Livestock Management, Ruminant Livestock

Resumo

The dynamics of households significantly influence the management of ruminant livestock within the Kakamega forest ecosystem, particularly in response to the challenges posed by climate change. This, in turn, has both direct and indirect effects on the Kakamega forest ecosystem. This study sought to determine the influence of the household dynamics on ruminant livestock production systems and the Kakamega forest ecosystem, Kenya. The study was grounded in the Ecological Systems Theory. The study employed a correlational research methodology. The study used a structured questionnaire to obtain data from 298 household heads selected using simple random sampling from a population of 26,079 households by administering a structured questionnaire to capture the household’s demographics and ruminant livestock production strategies within the Kakamega forest ecosystem covering the three Counties of Vihiga, Kakamega and Nandi. The researchers used the purposive sample technique to carefully select key informants from a preset list of stakeholders.The analysis of the data was conducted using both descriptive and inferential statistical methods. The findings revealed that, Majority (75%) of the households totally depended on the forest for communal grazing. Out this 60% graze their livestock in the forest for the whole year, while 40% grazed for about 8 months.  The 25% of the households who did not enter their livestock into the forest still harvested forage to feed their livestock at home. Inadequate feed throughout the year was identified as a key limitation influencing cattle raising in all catchment regions (Makuchi 60%, Cheboite 58%, and Shamiloli 56%). Forage shortage was especially severe during the dry season (January to March) and the lengthy rain season (April to August), when crops were planted on farms.The primary factors influencing the Kakamega Forest Ecosystem are agricultural expansion and grazing, as seen by changes in land size before and after livestock farming. This research concluded that degradation of forest vegetation is notably extensive in Vihiga and Kakamega County, as well as the surrounding areas, where nearly all accessible land is utilized for cultivation or pasture. Based on the findings, the research suggests that feed conservation technology be promoted, and that a ruminant livestock management plan based on the Tropical Livestock Unit (TLU) be implemented, backed by suitable livestock regulations. The principal restoration and conservation technique proposed was to grow fodder crops and agroforestry trees on farms, use a participatory community approach to regulate grazing, and store agricultural leftovers to lessen strain on the forest, particularly during the dry season.

Dimensions

Agevi, H. (2016). PELIS forestry programme as a strategy for increasing forest cover and improving community livelihoods: Case of Malava Forest, western Kenya. International Journal of Climate Change Strategies and Management, 3(2), 19-24.

Bronfenbrenner, U. (1979). The ecology of human development: Experiments by nature and design. Harvard University Press. https://doi.org/10.4159/9780674028845 DOI: https://doi.org/10.4159/9780674028845

Espira, A., Kefa, C., Lung, M., & Gregory, A. J. (2023). Trees on farms provide both wood value and conservation value in a tropical forest system: A case study from western Kenya. Preprints. https://doi.org/10.20944/preprints202303.0247.v1 DOI: https://doi.org/10.20944/preprints202303.0247.v1

Esteve, A., Pohl, M., Becca, F., Fang, H., Galeano, J., García-Román, J., Reher, D., Trias-Prats, R., & Turu, A. (2024). A global perspective on household size and composition, 1970-2020. Genus, 80(1), 2. https://doi.org/10.1186/s41118-024-00211-6 DOI: https://doi.org/10.1186/s41118-024-00211-6

Fisher, S. D. (1999). Complex variables. Courier Corporation.

Guthiga, P., & Newsham, A. (2011). Traditional knowledge and adaptation to climate change in Kenya. International Journal of Climate Change Strategies and Management, 3(2), 189-199.

Igu, N. I., & Marchant, R. (2017). Freshwater swamp forest use in the Niger Delta: Perception and insights. Journal of Forest Research, 22(1), 44-52. https://doi.org/10.1080/13416979.2017.1280887 DOI: https://doi.org/10.1080/13416979.2017.1280887

Kariuki, E. N., VanLeeuwen, J. A., Gitau, G. K., Heider, L. C., McKenna, S. L., & Muasya, D. W. (2023). Randomized control trial to investigate compliance with, and impacts of, cow comfort recommendations on smallholder dairy farms in Kenya. Research in Veterinary Science, 162, 104954. https://doi.org/10.1016/j.rvsc.2023.104954 DOI: https://doi.org/10.1016/j.rvsc.2023.104954

KNBS. (2019). Gross County Product Report. Nairobi, Kenya.

Kigathi, C. C. W. (2016). Motivating factors for dairy cooperative membership in Kenya: A case of smallholder dairy farmers in Kiambu County (Doctoral dissertation, Strathmore University).

Kimenchu, M. D., Mwangi, M., Kairu, W. S., & Macharia, G. A. (2014). Characterization and profitability assessment of dairy farms in Central Kenya. International Journal of Innovative Research and Development, 3(9), 82-90.

Koech, O. K., Kinuthia, R. N., & Mwangi, A. N. (2019). The role of agroforestry in livelihoods and sustainable land use in Kenya. Forest Policy and Economics, 105(2), 90-98.

Koyi, N. P., & Siamba, D. D. N. (2017). Effect of marketing strategies on the dairy value chain returns and food and nutrition security in Bungoma County, Kenya. IOSR Journal of Agriculture and Veterinary Science, 10, 45-56.

https://doi.org/10.9790/2380-1006024556 DOI: https://doi.org/10.9790/2380-1006024556

Lukuyu, J. M., Blanchard, R. E., & Rowley, P. N. (2019). A risk-adjusted techno-economic analysis for renewable-based milk cooling in remote dairy farming communities in East Africa. Renewable Energy, 130, 700-713.

https://doi.org/10.1016/j.renene.2018.06.101 DOI: https://doi.org/10.1016/j.renene.2018.06.101

Masayi, N. N., Omondi, P., & Tsingalia, M. (2021). Assessment of land use and land cover changes in Kenya's Mt. Elgon forest ecosystem. African Journal of Ecology, 59(4), 988-1003. https://doi.org/10.1111/aje.12886 DOI: https://doi.org/10.1111/aje.12886

Matiku, P., Caleb, M., & Wilson, S. (2013). The impact of conservation policies on community livelihoods in Kenya's forested areas. Environmental Research Letters, 8(4), 1-12.

Mbuvi, M. T., Obiri, J. F., & Koech, C. K. (2015). Effects of land tenure on forest conservation and livelihoods in Kenya. African Journal of Ecology, 53(3), 389-397.

Mohammed, K., Batung, E., Saaka, S. A., Kansanga, M. M., & Luginaah, I. (2023). Determinants of mechanized technology adoption in smallholder agriculture: Implications for agricultural policy. Land Use Policy, 129, 106666.

https://doi.org/10.1016/j.landusepol.2023.106666 DOI: https://doi.org/10.1016/j.landusepol.2023.106666

Mutiso, P., & Mugambi, M. (2021). Community participation in forest conservation: Lessons from Kakamega Forest. East African Journal of Environmental Management, 12(1), 30-50.

Mwangi, E., & Dohrn, S. (2008). Securing access to drylands resources for multiple users in Africa: A review of key issues. Land Use Policy, 25(3), 320-329. https://doi.org/10.1016/j.landusepol.2007.07.002 DOI: https://doi.org/10.1016/j.landusepol.2007.07.002

Mwangi, P., Eckard, R., Gluecks, I., Merbold, L., Mulat, D. G., Gakige, J., Pinares-Patino, C., & Marquardt, S. (2023). Impact of Haemonchus contortus infection on feed intake, digestion, liveweight gain, and enteric methane emission from Red Maasai and Dorper sheep. Frontiers in Animal Science, 4, 1212194. https://doi.org/10.3389/fanim.2023.1212194 DOI: https://doi.org/10.3389/fanim.2023.1212194

Nigatu, G., Mare, Y., & Abebe, A. (2018). Determinants of adoption of improved (bh-140) maize variety and management practice, in the case of South Ari, Woreda, South Omo Zone, Snnprs, Ethiopia. International Journal of Research Studies in Biosciences, 6(9), 35-43.

Njiru, N., Galiè, A., Wanyoike, F., Mashonganyika, T., Boonabaana, B., Bisikwa, J., Njuguna, E., Jones, C., Baltenweck, I., Dahl, G., & Mwangi, D. (2023). Exploration of gender dynamics in the production and marketing of forage technologies in Kenya. Frontiers in Animal Science, 4, 1113243. https://doi.org/10.3389/fanim.2023.1113243 DOI: https://doi.org/10.3389/fanim.2023.1113243

Njuguna-Mungai, E., Njiru, N., Businge, M., Namatovu, J., Terfa, Z., Maina, K., Ahumuza, R., Galiè, A., & Lukuyu, B. (2024). Assessing gender roles and relationships in livestock and feed production and utilization in Nakasongola District, Uganda (Technical Report). Nairobi, Kenya: ILRI.

Nugroho, E., Ihle, R., Heijman, W., & Oosting, S. J. (2024). The role of forest user group membership in the extraction of teak forest resources for smallholder cattle farming. Land Use Policy, 139, 107053.

https://doi.org/10.1016/j.landusepol.2024.107053 DOI: https://doi.org/10.1016/j.landusepol.2024.107053

Nundu, C. O. (2021). Influence of management practices on dairy cattle productivity on smallholder farmers in Kakamega Central Sub-County, Kakamega County, Kenya (Doctoral dissertation, MMUST).

Nyanje, M. C., Mwaguni, S., & Chidongo, T. M. (2024). Motivation towards conserving a rich forest biodiversity: Lessons learned from communities neighbouring the sacred Kaya Forests, Kwale County, Kenya. Jumuga Journal of Education, Oral Studies, and Human Sciences, 7(1), 1-11. https://doi.org/10.35544/jjeoshs.v7i1.65 DOI: https://doi.org/10.35544/jjeoshs.v7i1.65

Obiri, J. F., Lawes, M. J., & Mukolwe, M. (2012). The dynamics of forest degradation in Kakamega Forest, Western Kenya. Journal of Environmental Management, 92(1), 60-70.

Ogolla, K. O., Chemuliti, J. K., Ngutu, M., Kimani, W. W., Anyona, D. N., Nyamongo, I. K., & Bukachi, S. A. (2022). Women's empowerment and intra-household gender dynamics and practices around sheep and goat production in South East Kenya. PLOS ONE, 17(8), e0269243. https://doi.org/10.1371/journal.pone.0269243 DOI: https://doi.org/10.1371/journal.pone.0269243

Ojunga, S. O., Langat, D. K., Owange, K., Otuoma, J., Ayaga, G., Muskiton, K. C., Wanyiri, M., & Isack, M. (2023). The medicinal plants and their economic value in Kakamega Forest ecosystem: A case study of sustainable land/forest project in Western Kenya. Journal of Medicinal Herbs and Ethnomedicine, 9, 18-25. https://doi.org/10.25081/jmhe.2023.v9.8193 DOI: https://doi.org/10.25081/jmhe.2023.v9.8193

Oladunni, A. A., Haruna, U. A., Olayemi, A. H., Adedoyin, A. B., Ndubisi, A. C., Terhemen, A., Umar, S. A., & Lucero-Prisno, D. E. (2022). Agriculture and food security in Northern Nigeria, Part I: The implications of climate change. Advances in Food Security and Sustainability, 7, 137-148. Elsevier. https://doi.org/10.1016/bs.af2s.2022.07.005 DOI: https://doi.org/10.1016/bs.af2s.2022.07.005

Opiyo, S. B., Letema, S., & Opinde, G. (2024). Characterizing rural households' livelihood vulnerability to climate change and extremes in Migori River Watershed, Kenya. Climate and Development, 16(6), 471-489.

https://doi.org/10.1080/17565529.2023.2243612 DOI: https://doi.org/10.1080/17565529.2023.2243612

Segnon, A. C., Totin, E., Zougmoré, R. B., Lokossou, J. C., Thompson-Hall, M., Ofori-Bo, B., Achigan-Dako, E. G., & Gordon, C. (2021). Differential household vulnerability to climatic and non-climatic stressors in semi-arid areas of Mali, West Africa. Climate and Development, 13(8), 697-712. https://doi.org/10.1080/17565529.2020.1855097 DOI: https://doi.org/10.1080/17565529.2020.1855097

Voss, R. C., Cairns, J. E., Olsen, M., Muteti, F. N., Magambo Kanyenji, G., Hamadziripi, E., Ligeyo, D., Mashingaidze, K., Collinson, S., Wanderi, S., & Woyengo, V. (2023). Innovative approaches to integrating gender into conventional maize breeding: Lessons from the Seed Production Technology for Africa project. Frontiers in Sociology, 8, 1254595. https://doi.org/10.3389/fsoc.2023.1254595 DOI: https://doi.org/10.3389/fsoc.2023.1254595

Voss, R. C., Gitonga, Z. M., Donovan, J., Garcia-Medina, M., & Muindi, P. (2024). Can I speak to the manager? The gender dynamics of decision-making in Kenyan maize plots. Agriculture and Human Values, 41(1), 205-224.

https://doi.org/10.1007/s10460-023-10484-w DOI: https://doi.org/10.1007/s10460-023-10484-w

Waithaka, M. M., Nyangaga, J. N., Staal, S. J., Wokabi, A. W., Njubi, D., Muriuki, K. G., & Wanjohi, P. N. (2002). Characterization of dairy systems in the western Kenya region. PLOS ONE, 18(4), e0269243.

Were, K., Singh, B. R., & Dick, Ø. B. (2013). Effects of land use changes on groundwater quality in Kakamega Forest, Kenya. Water Resources Management, 27(10), 3585-3600.

Zingwe, D. E., Manja, L. P., & Chirwa, E. W. (2023). The effects of engendered intra-household power dynamics on household food security and nutrition in Malawi. Journal of Gender Studies, 32(2), 167-185.

https://doi.org/10.1080/09589236.2021.1940110 DOI: https://doi.org/10.1080/09589236.2021.1940110

Publicado

2025-03-24

Como Citar

Anjila, H. S., Wakhungu, J. W., & Ndiema, A. (2025). The Influence of Household Dynamics on Ruminant Livestock Production Systems and the Kakamega Forest Ecosystem, Kenya. African Journal of Empirical Research, 6(1), 823–834. https://doi.org/10.51867/ajernet.6.1.70

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