PELIS Forestry Programme as a Strategy for Increasing Forest Cover and Improving Community Livelihoods: Case of Malava Forest, Western Kenya
American Journal of Agriculture and Forestry
Volume 4, Issue 5, September 2016, Pages: 128-135
Received: Aug. 14, 2016;
Accepted: Aug. 26, 2016;
Published: Oct. 9, 2016
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Agevi Humphrey, Department of Biological Sciences, Masinde Muliro University of Science and Technology (MMUST), Kakamega, Kenya
Mwendwa Kaleb Adamba, Centre for Kakamega Tropical Forest Studies (CEKATFOS), Masinde Muliro University of Science and Technology (MMUST),Kakamega, Kenya
Koros Hillary, Department of Biological Sciences, Masinde Muliro University of Science and Technology (MMUST), Kakamega, Kenya
Mulinya Carolyne, Department of Geography, Masinde Muliro University of Science and Technology (MMUST), Kakamega, Kenya
Kawawa Rashid Calvince, Department of Biological Sciences, Masinde Muliro University of Science and Technology (MMUST), Kakamega, Kenya
Kimutai Donald Kipruto, Graduate School of Environmental Earth Science, Hokkaido University, Sapporo, Japan
Wabusya Moses, Department of Biological Sciences, Moi University, Eldoret, Kenya
Khanyufu Mercy, Department of Biological Sciences, Masinde Muliro University of Science and Technology (MMUST), Kakamega, Kenya
Jawuoro Stanely, Department of Land Resource Management and Agricultural Technology (LARMAT), University of Nairobi, Nairobi, Kenya
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Plantation Establishment and Livelihood Improvement Scheme (PELIS) is a scheme introduced after enactment of the Forest Act, 2005. It is a governance scheme by Kenya Forest Service (KFS) to help increase forest cover and restore degraded forests in the country. Forest adjacent communities (FAC) benefit from the scheme where they allocated plots upon which they plant seedlings, take care of them till the area form a closed canopy while they practise agriculture on the farms. This research sought to determine the extent to which PELIS has helped increase forest cover through plantations and decreased forest dependency. Both quantitative and qualitative data was used. It also sought to determine how the programme has helped improve community livelihoods.Cloud-free satellite images of 2001 to 2016 were selected for the study. The spectral bands 1–5 and 7 were chosen for Landsat 7 while bands 2–7 were used for Landsat 8. These were used to analyse forest cover and forest cover change for the period 2001 to 2016. The 2001 satellite image was used to analyse forest cover before PELIS and the 2016 image was utilized to analyse forest cover during the PELIS programme. Open and closed ended questionnaires, interviews and discussions were used to determine benefits of PELIS and how it has helped improve their livelihoods. It was found that forest cover experienced a positive increase from 366.9 ha in 2001 to 481.4 ha in 2016, an increase of 114ha (51%). This was occasioned by increased areas under plantations under the PELIS programme. The respondents admitted that they get food produce for their families like maize, beans, and potatoes. They also sell some of the produce and realize income of between Kshs.5, 000-15,000 annually from the parcel of land they are allocated. 90% of the respondents did agree that the programme has helped decrease forest dependency as most used to go to the forest to get timber and firewood to sell to get some cash. The success of this programme in Malava could be emulated in other forests in the country that will lead to an increase in forest cover and help improve their livelihoods.
PELIS Programme, Forest Cover, Forest Cover Change, Community Livelihoods
To cite this article
Mwendwa Kaleb Adamba,
Kawawa Rashid Calvince,
Kimutai Donald Kipruto,
PELIS Forestry Programme as a Strategy for Increasing Forest Cover and Improving Community Livelihoods: Case of Malava Forest, Western Kenya, American Journal of Agriculture and Forestry.
Vol. 4, No. 5,
2016, pp. 128-135.
Copyright © 2016 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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