<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">OJE</journal-id><journal-title-group><journal-title>Open Journal of Ecology</journal-title></journal-title-group><issn pub-type="epub">2162-1985</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/oje.2015.56021</article-id><article-id pub-id-type="publisher-id">OJE-56966</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject><subject> Earth&amp;Environmental Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  The Impact of Grazing on Plant Natural Regeneration in Northern Slopes of Mount Kilimanjaro, Tanzania
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>mani</surname><given-names>Abinery Kikoti</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Cosmas</surname><given-names>Mligo</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Dominico</surname><given-names>Benedicto Kilemo</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Tanzania National Parks, Arusha, Tanzania</addr-line></aff><aff id="aff2"><addr-line>Department of Botany, University of Dar es Salaam, Dar es Salaam, Tanzania</addr-line></aff><aff id="aff3"><addr-line>Sokoine University of Agriculture, Morogoro, Tanzania</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>dbkilemo@yahoo.com(DBK)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>03</day><month>06</month><year>2015</year></pub-date><volume>05</volume><issue>06</issue><fpage>266</fpage><lpage>273</lpage><history><date date-type="received"><day>25</day>	<month>April</month>	<year>2015</year></date><date date-type="rev-recd"><day>accepted</day>	<month>5</month>	<year>June</year>	</date><date date-type="accepted"><day>8</day>	<month>June</month>	<year>2015</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Livestock grazing is considered to be of great ecological importance in terrestrial ecosystems if sustained at acceptable levels. Overgrazing has ecological ramifications which lead to degradation of the ecosystem. This has become a problem in many parts of Tanzania. A study was conducted in Northen Slopes of Mount Kilimajaro in order to examine the impact of grazing on natural regeneration of the grazed vegetation. This paper is guided by the hypothesis that the species richness, species diversity and density of regenerants vary across grazing intensities. The study area was divided into four zones as per grazing intensity namely heavily grazed areas, moderately grazed, least grazed and ungrazed areas. Ten rectangular quadrats of 20 m &#215; 25 m were established in each zone, making a total of 40 quadrats in the entire study area. A stratified random sampling procedure was used in locating quadrats in each zone of grazing intensity whereby two subquadrats of 2 m &#215; 5 m were nested in bigger quadrats. Natural regeneration was assessed in terms of species diversity and density of seedlings, saplings and poles. Results indicate that species regeneration varied among areas with different grazing intensity. The variations of seedlings and saplings density among areas with different grazing intensity were statistically significant. The species diversity of regenerants differed significantly among areas with different grazing intensity. Keeping the grazing intensity at low and moderate levels will stimulate more plant growth and diversity as opposed to heavy grazing which will lead to vegetation retrogression.
 
</p></abstract><kwd-group><kwd>Impact of Grazing</kwd><kwd> Vegetation Ecology</kwd><kwd> Mount Kilimanjaro</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>The northern slopes of Mount Kilimanjaro have been facing grazing pressure resulting from increased livestock population in the area [<xref ref-type="bibr" rid="scirp.56966-ref1">1</xref>] . This is because of land use changes associated with the increase in land under cultivation and settlements at the expense of a decrease of pastoral lands. Moreover, due to extended periods of drought, the area has been characterized by short rains and delayed long rains, such that pastoral communities from both Tanzanian and Kenyan sides have been driving their livestock to montane forests in search for forage and water. Grazing may have been affecting plant composition and interfering with natural regeneration. Variation in grazing intensities among parts of the montane forests based on accessibility and protection status may also reflect variation on vegetation response. The literature on impact of grazing in Mount Kilimanjaro ecosystem is scant. At present there is no any documented study on this topic. It is within this context the paper was conceptualized. The paper is guided by the hypothesis that species richness, species diversity and density of regenerants differ across grazing intensities.</p></sec><sec id="s2"><title>2. Materials and Methods</title><sec id="s2_1"><title>2.1. The Study Area</title><p>Mount Kilimanjaro is found on the Northern Tanzania, adjacent to Tanzania-Kenya international boundary (<xref ref-type="fig" rid="fig1">Figure 1</xref>). Geographically, it lies at 2˚45' - 3˚25' South and 37˚00' - 37˚43' East about 300 Km south of the equator [<xref ref-type="bibr" rid="scirp.56966-ref1">1</xref>] . The mountain is surrounded by Moshi, Rombo, Hai and Siha districts that are in Kilimanjaro Region on the southern, eastern, south-western and north-western slopes respectively and Longido District which belongs to Arusha Region on the northern slopes. Mount Kilimanjaro ecosystem is a protected area under Tanzania National Parks (TANAPA)</p><p>The conservation history of Mount Kilimanjaro dates back in early 1900s when it was gazetted as Game Reserve and as a forest reserve in 1921 [<xref ref-type="bibr" rid="scirp.56966-ref2">2</xref>] . The upper part of Mount Kilimanjaro was upgraded as National Park in 1973 starting from tree line (2700 m above sea level) and above having an area of 756 km<sup>2</sup> by Government Notice No. 50 of March 16, 1973 in accordance with the National Parks Ordinance (Cap 412) of 1959 [<xref ref-type="bibr" rid="scirp.56966-ref2">2</xref>] . The</p><fig id="fig1"  position="float"><label><xref ref-type="fig" rid="fig1">Figure 1</xref></label><caption><title> Map showing the location of study area in Mount Kilimanjaro</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/2-1380347x6.png"/></fig><p>montane forest was under Forest and Beekeeping Department (FBD). Mount Kilimanjaro was inscribed by UNESCO as World Heritage Site in 1987 based on high fauna and flora diversity. In September 2005, the Park’s boundaries were adjusted to include Kilimanjaro Forest Reserve (1078.28 km<sup>2</sup>), thus the total area increased to 1834 km<sup>2</sup> [<xref ref-type="bibr" rid="scirp.56966-ref2">2</xref>] .</p><sec id="s2_1_1"><title>2.1.1. Climate</title><p>The climate of Mount Kilimanjaro varies from one ecological zone to another based on altitude, gradient and aspect. The montane forest that surrounds the mountain at altitude of 1600 - 2400 m.a.s.l on northern slopes and 1600 - 2800 m.a.s.l. on the southern slopes is characterized by a typical equatorial climate [<xref ref-type="bibr" rid="scirp.56966-ref1">1</xref>] . There are two distinct rainy seasons in this forest, the long rainy period occurs between March and May whereas the short rain periods occurs between November-December hence climate of the area being bimodal. The average annual rainfall reaches a maximum of 3000 mm at 2100 m.a.s.l. on the central southern slopes in the lower part of the montane forest belt, and therefore exceeding an average precipitation of typical African high mountains [<xref ref-type="bibr" rid="scirp.56966-ref3">3</xref>] . However, rainfall and temperature vary with altitude and exposure to the wind direction blowing from the Indian Ocean. The mean annual precipitation decreases to less than 500 mm above 4000 m in the alpine zone. The northern slope, on leeward side receives much less rainfall [<xref ref-type="bibr" rid="scirp.56966-ref3">3</xref>] . The mean annual temperature at the foot of the mountain particularly in Moshi (813 m a.s.l.) is 23.4˚C [<xref ref-type="bibr" rid="scirp.56966-ref3">3</xref>] It decreases to 18˚C at 1500 m, 9.2˚C at 3100 m, 4.5˚C at 4000 m [<xref ref-type="bibr" rid="scirp.56966-ref4">4</xref>] . At the top of Kibo at altitude of 5800 m the temperature decreases up to −7.1˚C [<xref ref-type="bibr" rid="scirp.56966-ref5">5</xref>] with a lapse rate of decrease about 0.56˚C per 100 m [<xref ref-type="bibr" rid="scirp.56966-ref4">4</xref>] . The climate in the alpine belt above 3500 to 4000 m is characterized by nightly frosts all the year round. The belt has intensive sunshine during day time; it is summer during day time and winter during night [<xref ref-type="bibr" rid="scirp.56966-ref3">3</xref>] .</p></sec><sec id="s2_1_2"><title>2.1.2. Local Communities</title><p>Majority of local communities bordering Mount Kilimanjaro are crop cultivators. These are mostly in Moshi rural, Hai, Siha and Rombo districts located in the southern, western and eastern sides of the Mountain. The major dominant form of agriculture in these districts is Agroforestry popularly known as “Chaga home gardens”. Agro-pastoralists are only found in Longido District which is located on the leeward side of Mountain in the northern slopes.</p></sec></sec><sec id="s2_2"><title>2.2. Data Collection</title><sec id="s2_2_1"><title>2.2.1. Reconnaissance Survey</title><p>Preliminary survey was first carried out in montane forest of the northern slopes of Mount Kilimanjaro to define vegetation segments based on its homogeneity and grazing intensity. This was followed by zoning the area based on grazing intensities into heavily grazed areas, moderately grazed, least grazed and ungrazed areas. These areas were used for detailed study on natural regeneration pattern.</p></sec><sec id="s2_2_2"><title>2.2.2. Vegetation Sampling Procedures</title><p>The sampling strategy was based on the four grazing intensities (i.e. heavily grazed, moderately grazed, least grazed and ungrazed). Ten rectangular quadrats of 20 m &#215; 25 m were established in each category, making a total of 40 quadrats in the entire study area. A stratified random sampling procedure was used in locating quadrats in each category of grazing intensity. Two subquadrats of 2 m &#215; 5 m were nested in bigger quadrats as recommended by [<xref ref-type="bibr" rid="scirp.56966-ref6">6</xref>] . The tree seedlings were plants classified at growth stage with &lt; 2 cm diameter, saplings are plants with 2 - 4 cm diameters and poles are stems at growth stage with 4 - 9 cm diameter as pointed out by [<xref ref-type="bibr" rid="scirp.56966-ref7">7</xref>] . Also grasses and herbaceous layer was determined by using three 1 m<sup>2</sup> quadrats nested in 20 m &#215; 25 m quadrats and the percentage of plant species cover was estimated in each quandrat. All plants were identified to species level when it was possible in the field, otherwise specimens of plant species that were not easily identified in the field, specimens were collected, pressed and taken to the herbarium in the Department of Botany, University of Dar es Salaam (DSM) for identification by matching with the herbarium specimens and/or keying using relevant floras such as Flora of Tropical East Africa (FTEA) and Flora Zambeziaca (FZ) ( Plate 1 ).</p></sec><sec id="s2_2_3"><title>2.2.3. Assessment of Grazing Intensity</title><p>The degree of livestock trampling was assessed by measuring percentage (by area) of trail and bare ground in</p><p>each 20 m &#215; 25 m quadrat. Qualitative estimation of grazing intensity in each quadrat based on assessment of percentage utilization of vegetation by livestock was also done in each quadrat. A total of 3 grazing intensity classes based on the modified [<xref ref-type="bibr" rid="scirp.56966-ref8">8</xref>] classification system were established as shown in <xref ref-type="table" rid="table1">Table 1</xref>.</p></sec></sec><sec id="s2_3"><title>2.3. Data Analysis</title><p>Plant natural regeneration was assessed in terms of species richness, species diversity and density of seedlings, saplings and poles. Species richness was analyzed through counting the total number of species found in each quadrant under a given grazing intensity. The plant species diversity was determined from raw data by using the Shannon’s diversity index (H') [<xref ref-type="bibr" rid="scirp.56966-ref9">9</xref>] according to the formula below:</p><disp-formula id="scirp.56966-formula585"><graphic  xlink:href="http://html.scirp.org/file/2-1380347x7.png"  xlink:type="simple"/></disp-formula><p>where:</p><p>p<sub>i</sub> = n<sub>i</sub>/N, the number of individuals found in the ith species as a proportion of total number of individuals found in all the species.</p><p>In = Natural logarithms to base e</p><p>The plant species evenness (E) of each area was calculated using the sample formula below (Alatalo, 1981).</p><disp-formula id="scirp.56966-formula586"><graphic  xlink:href="http://html.scirp.org/file/2-1380347x8.png"  xlink:type="simple"/></disp-formula><p>where H' Shannon-Wiener Diversity Index and S is the total number of species (from the selected study sites.</p><p>One-way ANOVA was used to test the statistical significance of the observed differences across grazing intensities. The significance level for all tests was based on 5% critical limit.</p></sec></sec><sec id="s3"><title>3. Results</title><sec id="s3_1"><title>3.1. Effects of Grazing Intensity on Density of Tree Regenerants</title><p>Natural tree species regeneration varied among areas with different grazing intensity, where the Least grazed</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Grazing intensity classes and their interpretation</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Grazing intensity class</th><th align="center" valign="middle" >Interpretation</th></tr></thead><tr><td align="center" valign="middle" >0</td><td align="center" valign="middle" >No grazing</td></tr><tr><td align="center" valign="middle" >1</td><td align="center" valign="middle" >1% - 20%: Least grazed</td></tr><tr><td align="center" valign="middle" >2</td><td align="center" valign="middle" >21% - 60%: Moderately grazed</td></tr><tr><td align="center" valign="middle" >3</td><td align="center" valign="middle" >61% - 100%: Heavily grazed</td></tr></tbody></table></table-wrap><p>areas had the highest density of regenerants (seedlings, saplings and poles) with a total of 27,150 stems/ha (<xref ref-type="fig" rid="fig2">Figure 2</xref>(b)). This was followed by the ungrazed areas with 22,550 stems/ha and the moderately grazed areas had 10,250 stems/ha ( Plate 2 , <xref ref-type="fig" rid="fig2">Figure 2</xref>(a) and <xref ref-type="fig" rid="fig2">Figure 2</xref>(c)). With a total of 9750 stems/ha of regenerants (seedlings, saplings and poles) in heavily grazed areas, this was the lowest density of regenerants (<xref ref-type="fig" rid="fig2">Figure 2</xref>(d)).</p><fig-group id="fig2"><label><xref ref-type="fig" rid="fig2">Figure 2</xref></label><caption><title> Variation in tree species regeneration patterns among areas with different grazing intensities in the montane forests of Northern slopes of Mount Kilimanjaro.</title></caption><fig id ="fig2_1"><label></label><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/2-1380347x11.png"/></fig><fig id ="fig2_2"><label></label><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/2-1380347x12.png"/></fig><fig id ="fig2_3"><label></label><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/2-1380347x13.png"/></fig><fig id ="fig2_4"><label></label><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/2-1380347x14.png"/></fig></fig-group><p>The variations of seedlings and saplings density (stems/ha) among areas with different grazing intensities were statistically significant at p &lt; 0.05 (<xref ref-type="table" rid="table2">Table 2</xref>). Based on Tukey Honest Significant Difference (HSD), least grazed vs heavily, least grazed vs moderately grazed, ungrazed vs heavily and ungrazed vs moderately grazed areas were statistically significant in terms of seedlings density (<xref ref-type="table" rid="table2">Table 2</xref>). However, the significant difference existed on sapling density only between least and moderately grazed areas. The density of poles had no statistical significant difference among areas with different grazing intensities at p &gt; 0.05 (<xref ref-type="table" rid="table2">Table 2</xref>).</p></sec><sec id="s3_2"><title>3.2. Effects of Livestock Grazing on Species Diversity of Regenerants</title><p>The species diversity of regenerants differed significantly among areas with different grazing intensity based on Analysis of Variance (ANOVA) (F = 11.8095, p = 0.000016). Multiple comparison test based on Tukey HSD test showed the statistical significant differences existed between least grazed vs heavily grazed, least vs ungrazed, moderately grazed vs heavily grazed and moderately grazed vs ungrazed areas (<xref ref-type="table" rid="table3">Table 3</xref>).</p></sec><sec id="s3_3"><title>3.3. Effects of Livestock Grazing on Species Richness of Regenerants</title><p>The difference in species richness of regenerants among areas with different grazing intensity was significant based on Analysis of Variance (ANOVA) (F = 10.53775, p = 0.000041). Multiple comparison test based on Tukey HSD test showed that the least and moderately grazed areas had significantly higher number of species than heavily and ungrazed areas (<xref ref-type="table" rid="table4">Table 4</xref>).</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Multiple comparison test of variation in regenerant density (stems/ha) among areas with different grazing intensities in the montane forests of Northern slopes of Mount Kilimanjaro (Letters above number indicates statistically significant at p &lt; 0.05)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle"  colspan="3"  >Seedlings</th><th align="center" valign="middle" ></th><th align="center" valign="middle"  colspan="4"  >Saplings</th><th align="center" valign="middle"  colspan="3"  >Poles</th><th align="center" valign="middle" ></th></tr></thead><tr><td align="center" valign="middle" >Grazing intensity</td><td align="center" valign="middle" >A</td><td align="center" valign="middle" >B</td><td align="center" valign="middle" >C</td><td align="center" valign="middle" >d</td><td align="center" valign="middle" >a</td><td align="center" valign="middle" >b</td><td align="center" valign="middle" >c</td><td align="center" valign="middle" >d</td><td align="center" valign="middle" >A</td><td align="center" valign="middle" >b</td><td align="center" valign="middle" >c</td><td align="center" valign="middle" >D</td></tr><tr><td align="center" valign="middle" >Heavily (a)</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >0.0002<sup>ab</sup></td><td align="center" valign="middle" >0.9969</td><td align="center" valign="middle" >0.0008<sup>ad</sup></td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >0.92</td><td align="center" valign="middle" >0.06</td><td align="center" valign="middle" >0.77</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >0.5</td><td align="center" valign="middle" >0.7</td><td align="center" valign="middle" >1.0</td></tr><tr><td align="center" valign="middle" >Least (b)</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >0.0002<sup>bc</sup></td><td align="center" valign="middle" >0.3045</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >0.01<sup>bc</sup></td><td align="center" valign="middle" >0.39</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >1.0</td><td align="center" valign="middle" >0.3</td></tr><tr><td align="center" valign="middle" >Moderately (c)</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >0.0013<sup>cd</sup></td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >0.36</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >0.4</td></tr><tr><td align="center" valign="middle" >Ungrazed (d)</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Variation of diversity of tree regenerants among areas with different grazing intensities (M = Mean &#177; Standard Error and letters<sup>a,b,c,d</sup> indicates statistical level of significance at p &lt; 0.05)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Level of grazing</th><th align="center" valign="middle" >Heavily<sup>a </sup>M = 1.2 &#177; 0.07</th><th align="center" valign="middle" >Least<sup>b</sup> M = 1.69 &#177; 0.098</th><th align="center" valign="middle" >Moderately<sup>c</sup> M = 1.78 &#177; .099</th><th align="center" valign="middle" >Ungrazed<sup>d</sup> M = 1.1 &#177; 0.11</th></tr></thead><tr><td align="center" valign="middle" >Heavily<sup>a</sup></td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >0.006353</td><td align="center" valign="middle" >0.001148</td><td align="center" valign="middle" >0.920141</td></tr><tr><td align="center" valign="middle" >Least<sup>b </sup></td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >0.916979</td><td align="center" valign="middle" >0.001175</td></tr><tr><td align="center" valign="middle" >Moderately<sup>c</sup></td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >0.000301</td></tr><tr><td align="center" valign="middle" >Ungrazed<sup>d</sup></td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td></tr></tbody></table></table-wrap><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Variation of species richness of tree regenerants among areas with different grazing levels (M = Mean &#177; Standard Error and letters<sup>a,b,c,d</sup> indicates statistical level of significance at p &lt; 0.05)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Level of grazing</th><th align="center" valign="middle" >Heavily<sup>a </sup>M = 3.9 &#177; 0.31</th><th align="center" valign="middle" >Least<sup>b</sup> M = 8.4 &#177; 0.78</th><th align="center" valign="middle" >Moderately<sup>c</sup> M = 7.3 &#177; 0.86</th><th align="center" valign="middle" >Ungrazed<sup>d</sup> M = 4.8 &#177; 0.49</th></tr></thead><tr><td align="center" valign="middle" >Heavily<sup>a</sup></td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >0.000259<sup>a</sup></td><td align="center" valign="middle" >0.003805</td><td align="center" valign="middle" >0.760216</td></tr><tr><td align="center" valign="middle" >Least<sup>b </sup></td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >0.630283</td><td align="center" valign="middle" >0.002116<sup>b</sup></td></tr><tr><td align="center" valign="middle" >Moderately<sup>c</sup></td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >0.046103<sup>c</sup></td></tr><tr><td align="center" valign="middle" >Ungrazed<sup>d</sup></td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td></tr></tbody></table></table-wrap></sec></sec><sec id="s4"><title>4. Discussion</title><p>There was significant difference in trees regeneration among areas with different grazing intensities (<xref ref-type="fig" rid="fig2">Figure 2</xref>, <xref ref-type="table" rid="table2">Table 2</xref>). The number of seedlings was significantly higher in the least and ungrazed areas than heavily and moderately areas (<xref ref-type="fig" rid="fig2">Figure 2</xref>). High proportion of seedlings in the least and ungrazed areas is an indication of an ongoing natural seedling recruitment (<xref ref-type="fig" rid="fig2">Figure 2</xref>(a) and <xref ref-type="fig" rid="fig2">Figure 2</xref>(b)). However, the lower proportions of seedlings in heavily grazed and moderately grazed areas shows a restricted tree seedlings recruitments presumably due to effects of livestock grazing (<xref ref-type="fig" rid="fig2">Figure 2</xref>(c) &amp; <xref ref-type="fig" rid="fig2">Figure 2</xref>(d)). This is because in this area tree seedlings are being grazed and browsed or trampled by livestock, leading to failure in their natural regeneration patterns. When this happens for the long term, the mortality of old trees are not replaced by the new recruitments causing changes in plant age structure which may be skewed towards ageing individual trees. Based on these facts, the heavily grazed areas may be considered as unhealthy habitats due to unsuccessful natural regeneration of tree species. Similar results were observed in Church forests of Ethiopia where grazing had strong effects on tree seed germination, seedling survival and growth [<xref ref-type="bibr" rid="scirp.56966-ref10">10</xref>] . Also [<xref ref-type="bibr" rid="scirp.56966-ref11">11</xref>] pointed out that livestock grazing destroys seeds including the newly established seedlings thus undermining natural regeneration of trees in Swiss Jura Mountains. Many studies have documented the negative impacts of grazing pressure that results into the natural regeneration failure [<xref ref-type="bibr" rid="scirp.56966-ref12">12</xref>] - [<xref ref-type="bibr" rid="scirp.56966-ref14">14</xref>] . There is no doubt that grazing intensity has negative impacts on natural regeneration pattern in the montane forests of the northern slopes of Mount Kilimanjaro .</p><p>In terms of diversity among natural regenerants, the least and moderately grazed areas had the higher diversity of regeneration potential than ungrazed and heavily grazed areas (<xref ref-type="table" rid="table3">Table 3</xref>). This finding indicates that livestock grazing may be one of the factors facilitating plant species regeneration in least and moderately grazed areas mainly due to the role it plays in reducing competition through grazing and browsing which promotes plant species diversity. This is consistent with the observation made by [<xref ref-type="bibr" rid="scirp.56966-ref15">15</xref>] that low level of livestock grazing increases natural regeneration through reducing competition among plant species in a community. This study observed low diversity of regenerants in ungrazed areas (<xref ref-type="table" rid="table3">Table 3</xref>). High canopy cover in ungrazed areas may be limiting regeneration of light dependent plants leading to overall low diversity of regenerants. High regeneration of light dependent plants was also observed in Nepal as result of forest gap effects [<xref ref-type="bibr" rid="scirp.56966-ref16">16</xref>] . [<xref ref-type="bibr" rid="scirp.56966-ref17">17</xref>] found that tree species richness was higher in the gap than in the intact vegetation in broad leaved forest in the southern China. The low diversity in heavily grazed areas indicates the role of livestock in hampering regeneration patterns.</p><p>From this study various communities regenerated differently due to different levels of grazing intensities. In heavily grazed areas, Euclea spinarum and Carissa spinarum had high density of regenerants than other areas. There was also successful regeneration of E. divinorum in heavily grazed areas since it is unpalatable and hence it was one of the least affected species by livestock grazing. E. divinorum has high concentrations of condensed tannins, as well as total phenolic compounds in their leaves thus bearing lower acceptability of its foliage by most herbivores [<xref ref-type="bibr" rid="scirp.56966-ref18">18</xref>] . This result concurs with the finding by [<xref ref-type="bibr" rid="scirp.56966-ref19">19</xref>] that Euclea sp. was not browsed in heavily grazed areas and it was concluded that large herbivores have little effect on its mortality rates. [<xref ref-type="bibr" rid="scirp.56966-ref20">20</xref>] suggested that E. divinorum may play important roles as a pioneer species in degraded habitats when conditions are suitable. It can also be established in habitats that have not previously supported woody plants species such as grasslands communities and may also promote establishment of other forest trees.</p></sec><sec id="s5"><title>5. Conclusion</title><p>This study found significant difference in plant natural regeneration pattern among areas with different grazing intensity in the Northern slopes of Mount Kilimanjaro. Moderately grazed areas had the highest plant species diversity complying with intermediate disturbance hypothesis. However, low tree species richness and lack of old aged stands in heavily grazed areas indicated the impacts of livestock grazing which contributed to prevention of trees to attain large size classes. The lowest regeneration potential in heavily grazed areas is an indication of unhealthy ecosystem.</p></sec><sec id="s6"><title>NOTES</title></sec></body><back><ref-list><title>References</title><ref id="scirp.56966-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Lambretchs, C., Woodley, B., Hemp, A., Hemp, C. and Nnyiti, P. (2002) Aerial Survey of the Threats to Mount Kilimanjaro Forests. UNDP, Dar es Salaam, 33 p.</mixed-citation></ref><ref id="scirp.56966-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Tanzania National Parks (2006) General Management Plan for Kilimanjaro National Park (2006-2015). Tanzania National Parks, Arusha.</mixed-citation></ref><ref id="scirp.56966-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">Hemp, A. (2005) Climate Change Driven Forest Fires Marginalizes the Ice Cap Wasting on Mount Kilimanjaro. Global Change Biology, 11, 1013-1023. http://dx.doi.org/10.1111/j.1365-2486.2005.00968.x</mixed-citation></ref><ref id="scirp.56966-ref4"><label>4</label><mixed-citation publication-type="book" xlink:type="simple">Hemp, A. (2005) The Impact of Fire on Diversity, Structure and Composition of Mount Kilimanjaro Vegetation. In: Spehn, E., Liberman, M. and Korner, C., Eds., Land Use Change and Mountain Biodiversity, CRC Press LLC, Boca Raton, 51-68.</mixed-citation></ref><ref id="scirp.56966-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">Thomson, L.G., Mosley-Thomson, E., Davis, M.E., Henderson, K.A., Brecher, H.H., Zagorodnov, V.S., Mashiotta, T.A., Lin, P.N., Mikhalenko, V.N., Hardy, D.R. and Beer, J. (2002) Kilimanjaro Ice Core Records: Evidence of Holocene Climate Change in Tropical Africa. Science, 298, 589-593. http://dx.doi.org/10.1126/science.1073198</mixed-citation></ref><ref id="scirp.56966-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">Stohlgren, T.J., Falkner, M.B. and Schell, L.D. (1995) A Modified-Whittaker Nested Vegetation Sampling Method. Vegetatio, 117, 113-121. http://dx.doi.org/10.1007/BF00045503</mixed-citation></ref><ref id="scirp.56966-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Mligo, C., Lyaruu, H.V.M. and Ndangalasi, H.J. (2011) The Effect of Anthropogenic Disturbances on Population Structure and Regeneration of Scorodophloeus fischeri and Manilkara sulcata in Coastal Forests of Tanzania. Southern Forests, 73, 33-40.</mixed-citation></ref><ref id="scirp.56966-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">Rulangalanga, Z.K. (2000) Obstacles to the Sustainable Utilization of the Vegetation of Semi-Arid Areas of Mbulu District for Animal Husbandry. Workshop on Current Initiative in Sustainable Management of Dryland Biodiversity, Arusha. (Unpublished)</mixed-citation></ref><ref id="scirp.56966-ref9"><label>9</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Shannon</surname><given-names> C. </given-names></name>,<etal>et al</etal>. (<year>1948</year>)<article-title>A Mathematical Theory of Communication</article-title><source> Bell System Technical Journal</source><volume> 27</volume>,<fpage> 379</fpage>-<lpage>423</lpage>.<pub-id pub-id-type="doi"></pub-id></mixed-citation></ref><ref id="scirp.56966-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">Wassie, A., Sterck, F.J., Teketay, D. and Bongers, F. (2009) Effects of Livestock Exclusion on Tree Regeneration in Church Forests of Ethiopia. Forest Ecology and Management, 257, 765-772.http://dx.doi.org/10.1016/j.foreco.2008.07.032</mixed-citation></ref><ref id="scirp.56966-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">Smit, C., Gusberti, M. and Müller-Scharer, H. (2006) Safe for Saplings; Safe for Seeds? Forest Ecology and Management, 237, 471-477. http://dx.doi.org/10.1016/j.foreco.2006.09.069</mixed-citation></ref><ref id="scirp.56966-ref12"><label>12</label><mixed-citation publication-type="other" xlink:type="simple">Stern, M., Quesada, M. and Stoner, K.E. (2002) Changes in Composition and Structure of a Tropical Dry Forest Following Intermittent Cattle Grazing. International Journal of Tropical Biology, 50, 1021-1034.</mixed-citation></ref><ref id="scirp.56966-ref13"><label>13</label><mixed-citation publication-type="other" xlink:type="simple">Jimenez, J., Jurado, E., Aguirre, O. and Estrada, E. (2005) Effect of Grazing on Restoration of Endemic Dwarf Pine (Pinus culminicola Andresen et Beaman) Populations in Northeastern Mexico. Restoration Ecology, 13, 103-107.http://dx.doi.org/10.1111/j.1526-100X.2005.00012.x</mixed-citation></ref><ref id="scirp.56966-ref14"><label>14</label><mixed-citation publication-type="other" xlink:type="simple">Teich, I., Cingolani, A.M., Renison, D., Hensen, I. and Giorgis, M.A. (2005) Do Domestic Herbivores Retard Polylepis australis Bitt. Woodland Recovery in the Mountains of Cordoba Argentina? Forest Ecology and Management, 219, 229-241. http://dx.doi.org/10.1016/j.foreco.2005.08.048</mixed-citation></ref><ref id="scirp.56966-ref15"><label>15</label><mixed-citation publication-type="other" xlink:type="simple">McEvoy, P.M., McAdam, J.H., Mosquera-Losada, M.R. and Rigueiro-Rodri-Guez, A. (2006) Tree Regeneration and Sapling Damage of Pedunculate Oak Quercus robur in a Grazed Forest in Galicia, NW Spain: A Comparison of Continuous and Rotational Grazing Systems. Agroforestry System, 66, 85-92. http://dx.doi.org/10.1007/s10457-005-2916-0</mixed-citation></ref><ref id="scirp.56966-ref16"><label>16</label><mixed-citation publication-type="other" xlink:type="simple">Sapkota, I.P., Tigabu, M. and Odén, P.C. (2009) Species Diversity and Regeneration of Old-Growth Seasonally Dry Shorea robusta Forests Following Gap Formation. Journal of Forestry Research, 20, 7-14.http://dx.doi.org/10.1007/s11676-009-0002-6</mixed-citation></ref><ref id="scirp.56966-ref17"><label>17</label><mixed-citation publication-type="other" xlink:type="simple">Zang, R.G. and Wang, B.S. (2002) Study on Canopy Disturbance Regime and Mechanism of Tree Species Diversity Maintenance in the Lower Subtropical Evergreen Broad-Leaved Forest, South China. Plant Biosystems, 136, 241-250.http://dx.doi.org/10.1080/11263500212331351149</mixed-citation></ref><ref id="scirp.56966-ref18"><label>18</label><mixed-citation publication-type="other" xlink:type="simple">Fornara, D.A. and DuToit, J.T. (2008) Browsing-Induced Effects on Leaf Litter Quality and Decomposition in a Southern African Savanna. Ecosystems, 11, 238-249. http://dx.doi.org/10.1007/s10021-007-9119-7</mixed-citation></ref><ref id="scirp.56966-ref19"><label>19</label><mixed-citation publication-type="other" xlink:type="simple">Smith, T.M. and Goodman, P.S. (1987) Successional Dynamics in an Acacia Nilotica-Euclea Divinorum Savannah in Southern Africa. Journal of Ecology, 75, 603-610. http://dx.doi.org/10.2307/2260192</mixed-citation></ref><ref id="scirp.56966-ref20"><label>20</label><mixed-citation publication-type="other" xlink:type="simple">Sharam, G., Sinclair, A.R.E. and Turkington, R. (2006) Establishment of Broad-Leaved Thickets in Serengeti, Tanzania: The Influence of Fire, Browsers, Grass Competition, and Elephants. Biotropica, 38, 599-605.http://dx.doi.org/10.1111/j.1744-7429.2006.00195.x</mixed-citation></ref></ref-list></back></article>