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The Significance and Sustainability of Charcoal Production in the ...

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For <strong>the</strong>se reasons, possibilities for susta<strong>in</strong>able l<strong>and</strong> <strong>and</strong> forest management <strong>and</strong> <strong>in</strong>come<br />

generat<strong>in</strong>g activities are reflected <strong>in</strong> this study.<br />

Deforestation <strong>and</strong> forest degradation, which are press<strong>in</strong>g problems <strong>in</strong> Dakatcha Woodl<strong>and</strong>, are<br />

examples <strong>of</strong> l<strong>and</strong> use <strong>and</strong> l<strong>and</strong> cover change (LULCC) caused by humans (Nature Kenya<br />

2008: 3). L<strong>and</strong> cover change analysis by Mwanikah (2008: 42) shows decrease <strong>of</strong> 19.3<br />

percent <strong>in</strong> <strong>the</strong> forest cover for <strong>the</strong> period 1975 to 1987; -48.4 percent (1987 to 2000) <strong>and</strong> -58.3<br />

percent from 1975 to 2000 <strong>in</strong> area <strong>in</strong>clud<strong>in</strong>g Dakatcha Woodl<strong>and</strong>. Remote sens<strong>in</strong>g (RS) <strong>and</strong><br />

Geographical Information Systems (GIS) provide means to assess <strong>the</strong> l<strong>and</strong> cover <strong>and</strong> thus <strong>the</strong><br />

state <strong>of</strong> environment. Comb<strong>in</strong>ed with socio-economic data <strong>the</strong>y <strong>of</strong>fer ways to assess <strong>the</strong><br />

poverty-environment l<strong>in</strong>kages <strong>and</strong> <strong>of</strong>fer data to l<strong>and</strong> <strong>and</strong> forest resource management plann<strong>in</strong>g.<br />

This study contributes to <strong>the</strong> exist<strong>in</strong>g local l<strong>and</strong> cover data by analyz<strong>in</strong>g four SPOT satellite<br />

images from 2005/06 <strong>and</strong> 2011, <strong>and</strong> by form<strong>in</strong>g a l<strong>and</strong> cover classification for <strong>the</strong> said years,<br />

thus scrut<strong>in</strong>iz<strong>in</strong>g also <strong>the</strong> change <strong>in</strong> l<strong>and</strong> cover. Besides SPOT data, o<strong>the</strong>r GIS data (ISRIC<br />

2010; Vagen 2010 etc.), Kenya Topographical maps 1:50,000, <strong>and</strong> <strong>in</strong> situ-measurements <strong>and</strong><br />

observation are utilized for l<strong>and</strong> cover detection. O<strong>the</strong>r important data sources <strong>in</strong>clude, e.g.:<br />

Diaz-Chavez et al. (2010), FAO (2010a), Hoorweg et al. (2003), <strong>and</strong> Skidmore ed. (2002).<br />

<strong>The</strong> forest resource use is related to household energy as <strong>in</strong> Kenya <strong>the</strong> dem<strong>and</strong> for woodfuel is<br />

one <strong>of</strong> <strong>the</strong> key drivers <strong>of</strong> deforestation <strong>and</strong> l<strong>and</strong> degradation. <strong>The</strong> fuelwood accounts for 70<br />

percent <strong>of</strong> all energy consumed nation-wide <strong>and</strong> up to 90 percent <strong>in</strong> <strong>the</strong> rural areas (Diaz-<br />

Chavez et al. 2010: 70). Woodfuel energy is an issue that ties toge<strong>the</strong>r forest resources,<br />

livelihoods <strong>and</strong> susta<strong>in</strong>able development. <strong>The</strong> loss <strong>of</strong> forests <strong>and</strong> denied access to forest<br />

products deprives rural dwellers <strong>of</strong> <strong>the</strong> forest goods <strong>and</strong> services <strong>the</strong>y need for <strong>the</strong>ir<br />

subsistence <strong>and</strong> livelihoods. <strong>The</strong> cost <strong>of</strong> fuelwood <strong>and</strong> o<strong>the</strong>r forests goods tends to rise as<br />

forests become scarcer, with obvious implications for <strong>the</strong> poor, especially to women. <strong>The</strong> loss<br />

<strong>of</strong> forests also leads to <strong>the</strong> loss <strong>of</strong> wildlife, which can <strong>in</strong>fluence harmfully on <strong>the</strong> tourism <strong>and</strong><br />

food sources lead<strong>in</strong>g to <strong>in</strong>creas<strong>in</strong>g hardship for <strong>the</strong> poor (CIFOR 2005: 3). On <strong>the</strong> o<strong>the</strong>r h<strong>and</strong>,<br />

forest resources <strong>of</strong>fer <strong>in</strong>come to local households: nearly 40 percent <strong>of</strong> <strong>the</strong> local households<br />

are <strong>in</strong>volved <strong>in</strong> charcoal production <strong>in</strong> Dakatcha Woodl<strong>and</strong> accord<strong>in</strong>g to Nature Kenya<br />

(2010a). That is why <strong>the</strong> production <strong>of</strong> woodfuels <strong>and</strong> household energy consumption are<br />

exam<strong>in</strong>ed <strong>in</strong> this <strong>the</strong>sis. <strong>Charcoal</strong> utilization patterns, <strong>and</strong> <strong>the</strong> supply network <strong>in</strong> <strong>the</strong> area are<br />

studied <strong>in</strong> detail, via literature review but also through socio-economic assessments (e.g.<br />

Nature Kenya 2010a; A Rocha Kenya 2009a & 2009b; KNBS 2007), observation,<br />

questionnaires (90 households were assessed <strong>in</strong> October 2010) <strong>and</strong> semi-structured expert<br />

3

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