Anthropogenic activities around Chepalungu forest has lead to its reduction in size and has resulted in its degradation. Continued dependency on this forest may result in its total depletion despite its high biological diversity and the value of its natural resources. Farmers in the area have been largely uninterested in adopting agroforestry practice around Chepalungu forest, despite the potential for these practices to reduce demands on the forest. This study identified barriers to adopting agroforestry practices around Chepalungu forest in Bomet County, Kenya. Researchers adopted descriptive survey research design in this study. The study was done in 2016. The study sites were four locations around Chepalungu forest (Bing’wa, Siongiroi, Ndanai, and Abosi), which are 5 km from the forest edge and were selected using simple random sampling method. A total of 377 household questionnaires were administered in the four locations. Chi-Square and Mann Whitney U tests were used in the data analysis. Significance levels were expressed at P<0.05 using SPSS version 17 software. The results showed that there was a significant association (c2= 530.8; P <0.01) between the types of agroforestry practices and challenges affecting the adoption of agroforestry practices. Notable challenges were: damage by animals, damage by man, tree nursery problems, inadequate capital, natural calamities, competing land uses, managerial problems and seed acquisition problems.
South West Mau Forests (SWMF) is an important resource to Kenya and beyond. Despite its importance, there is an imminent anthropogenic threat to its conservation which has altered its current importance. There is a need for urgent implementation of sound and feasible forest conservation strategies with a clear understanding of incentives for sustainable forest conservation. This study was therefore carried out to identify threats to SWMF conservation and to determine incentives for its sustainable management. Purposive and systematically sampling techniques were used to identify study sites. Three transects were laid parallel to forest edge from which nine sites were selected. Households were identified using simple random sampling and a total of 225 questionnaires administered. Kruskal Wallis Test as provided in SPSS Version 12 package was used to test significant differences among forest threats. Chi-square (X 2 ) test was used to test for overall significant difference between incentives. Significant test levels were expressed at P < 0.05.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.