<?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">JHRSS</journal-id><journal-title-group><journal-title>Journal of Human Resource and Sustainability Studies</journal-title></journal-title-group><issn pub-type="epub">2328-4862</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/jhrss.2018.64043</article-id><article-id pub-id-type="publisher-id">JHRSS-88959</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Business&amp;Economics</subject></subj-group></article-categories><title-group><article-title>
 
 
  Livelihood of Two Local Communities and Their Dependence on Forest Resources: A Case Study from Western Himalaya, Dachigam National Park, Jammu &amp; Kashmir, India
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Khursid</surname><given-names>A. Khan</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Azra</surname><given-names>Musavi</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>Jamal</surname><given-names>A. Khan</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>Khursheed</surname><given-names>Ahmad</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib></contrib-group><aff id="aff3"><addr-line>Faculty of Forestry, Sher-e-Kashmir University of Agriculture Science and Technology, Jammu &amp;amp; Kashmir, India</addr-line></aff><aff id="aff2"><addr-line>Department of Economics, Aligarh Muslim University, Aligarh, India</addr-line></aff><aff id="aff1"><addr-line>Department of Wildlife Sciences, Aligarh Muslim University, Aligarh, India</addr-line></aff><pub-date pub-type="epub"><day>19</day><month>11</month><year>2018</year></pub-date><volume>06</volume><issue>04</issue><fpage>294</fpage><lpage>305</lpage><history><date date-type="received"><day>21,</day>	<month>July</month>	<year>2018</year></date><date date-type="rev-recd"><day>2,</day>	<month>December</month>	<year>2018</year>	</date><date date-type="accepted"><day>5,</day>	<month>December</month>	<year>2018</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>
 
 
  We examined the livelihood of two local communities (Kashmiri &amp; Gujjar) and their dependence on forest resources. New Theed and Mulnar are two villages situated at the northern-west boundary of Dachigam National Park (DNP). The population of New Theed is mainly belonging to the Kashmiri community while the Mulnar residents are from Gujjar community. Data were collected through random questionnaire survey from New Theed 101 and Mulnar 32 households (33% and 46%). It was found that about 21 % and 93.75% of households from Kashmiri and Gujjar communities were totally or partially dependent on DNP for their subsistence. With per capita fuel wood consumption of 1.09 and 4.04 kg/day, the average annual fuel wood consumption was found to be 0.39 and 3.92 metric ton per household of respective communities. According to household questionnaire survey, the average annual fuel wood collection was found to be lower (0.21 &amp; 1.57 metric tons/household) compared to the measured quantity (5.19 &amp; 7.32 metric tons/household) calculated on the basis of head loads being taken out of DNP. Moreover, 22% of Kashmiri community and 65% of Gujjar community collected green fodder from the forest for their livestock. Other resources collected from DNP were medicinal plants, honey, vegetables and fish, as well as timber. The harsh climatic conditions of the area, inappropriate supply of alternative fuels and bad condition of roads are the driving forces of higher fuel wood consumption for Gujjar community. Moreover, dependence on forest resources for subsistence is high among the Gujjar community due to high illiteracy rate and unemployment.
 
</p></abstract><kwd-group><kwd>Dachigam National Park</kwd><kwd> Dependence</kwd><kwd> Livelihood and Forest Resources</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>The livelihoods of the most rural households throughout the developing countries depend on agriculture and forest resources [<xref ref-type="bibr" rid="scirp.88959-ref1">1</xref>] . The forests provide the natural asset to the rural and indigenous people. Dependence of people on forest resources continues to be important both the worldwide and in India. More than 1.6 billion (25%) people of the world are dependent on forest resources for their livelihood [<xref ref-type="bibr" rid="scirp.88959-ref2">2</xref>] . However, in India, out of 1.3 billion people about 64 percent of the rural population (0.5824 billion) and 100 million tribe (0.1 billion) [<xref ref-type="bibr" rid="scirp.88959-ref3">3</xref>] depend on the forests for their sustenance.</p><p>India consists of the second largest population utilizing only 2.4% of total surface area of world. The enormous population living close to the forest with their livelihoods critically linked to the forest ecosystem. There are around 1.73 lakh villages located in and around forests [<xref ref-type="bibr" rid="scirp.88959-ref4">4</xref>] . People living in these forest fringe villages depend upon forest for a variety of goods and services. In India, 70% population lives in rural areas and most of them have either agriculture or forest based economy. Forest and people are inextricably linked in India [<xref ref-type="bibr" rid="scirp.88959-ref5">5</xref>] and around 350 - 400 million (40%) people are dependent on forest resources [<xref ref-type="bibr" rid="scirp.88959-ref6">6</xref>] .</p><p>The people are depending on forest for Timber, fuel wood, fodder, fruits, flowers, tuber, roots and leaves for food and medicines and non-timber forest products (NTFPs). However, the anthropogenic pressure on forests is unsustainable and can cause forest degradation [<xref ref-type="bibr" rid="scirp.88959-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.88959-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.88959-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.88959-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.88959-ref11">11</xref>] and together with immense overgrazing, can reduce carrying capacity [<xref ref-type="bibr" rid="scirp.88959-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.88959-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.88959-ref13">13</xref>] .</p><p>Fuel wood and fodder collection along with overgrazing are considered to be the cause of deforestation where human habitation is situated in and around forested landscapes and herd of migratory livestock is also dependent on these forested landscapes. India is no exception. According to ICFRE [<xref ref-type="bibr" rid="scirp.88959-ref14">14</xref>] , it is estimated that India’s forests support 270 million livestock against the carrying capacity of 30 million. 78% of India’s forests are considered to be affected by livestock grazing; out of this, 18 percent are highly affected, while 31 percent are affected with medium intensity of grazing and 29 percent are affected with low intensity of grazing [<xref ref-type="bibr" rid="scirp.88959-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.88959-ref15">15</xref>] .</p><p>The large livestock population also results in huge collection of tree fodder, which affects the forest quality adversely. Due to the vast population dependency, overexploitation of the forest resources and unsustainable harvest practice degraded the forest ecosystem of India. Moreover, a significant number of tribal populations still live in its forested regions [<xref ref-type="bibr" rid="scirp.88959-ref16">16</xref>] . DNP is the only habitat of the critically endangered Hangul or Kashmir Stag (Cervus hanglu hanglu). Over the years, various studies have pointed to the shrinking of Hangul’s habitat in coniferous forests and alpine meadows of Kashmir [<xref ref-type="bibr" rid="scirp.88959-ref17">17</xref>] [<xref ref-type="bibr" rid="scirp.88959-ref18">18</xref>] [<xref ref-type="bibr" rid="scirp.88959-ref19">19</xref>] as these areas have been occupied by livestock, nomads and migratory graziers [<xref ref-type="bibr" rid="scirp.88959-ref20">20</xref>] . Consequently, Hangul is considered to have disappeared from most of its former ranges. This study is concerned with the impact of dependence of local communities on the forests of DNP. Such study on dependence of communities on these forests resources and factors affecting this dependence is scarce. Therefore, this study is conducted to quantify the fuel wood and fodder collection and utilization by two communities living at the boundary of Dachigam National Park.</p></sec><sec id="s2"><title>2. Materials and Methods</title><sec id="s2_1"><title>2.1. Study Area</title><p>The study area is a only remaining habitat of the critically endangered Red deer (Cervus hanglu hanglu) and the dependence of these communities build up a great pressure on the wild animals. The name of the park comes from the Kashmiri word Dah which means 10, chi means area and gam means village so “ten villages”. Before the existence of the park there were 10 villages inside which were later relocated outside due to the formation of a game reserve or “rakh” by the Maharaja of Jammu and Kashmir and served as a hunting reserve for the Maharaja. The name of the National Park was given in the memory of these 10 villages. DNP is located to the north-east of Srinagar in Kashmir Valley. It covers an area of 141 km<sup>2</sup> and lies between 34˚05' - 34˚11'N and 74˚54' - 75˚09'E in Zanskar mountain range of North-West Himalayan biogeographic Zone (2A) of India [<xref ref-type="bibr" rid="scirp.88959-ref21">21</xref>] . DNP is an important catchment area for Dal Lake and the only source of fresh water for Srinagar. The National Park is surrounded by five Conservation Reserves (Dara block of the Sindh forest Division in the north, Brain Block, Khrew and Tral ranges of Forest Plantations Divisions in the south, Harwan village and Harwan reservoir in the west and Lidder forest Department in the east). The south-east Dachigam is connected to Overa-Aru Wildlife Sanctuary. The DNP comes under two wildlife divisions viz., the Central and South Wildlife Divisions and is divided broadly into Upper and Lower Dachigam. DNP was a hunting reserve or of the Maharaja of Jammu and Kashmir from 1910 until 1947, after that its management was handed over to Department of Hospitality and Protocol (Fisheries Department, Directorate of game preservation) and subsequently to the Forest Department. It was managed under the Wildlife wing of Forest Department and later Dachigam was declared as a sanctuary by state order no. 276/C in 1951 [<xref ref-type="bibr" rid="scirp.88959-ref22">22</xref>] [<xref ref-type="bibr" rid="scirp.88959-ref22">22</xref>] . Dachigam Wildlife sanctuary was upgraded to National Park by the Government of Jammu and Kashmir order on 4 February 1981 (state order no. FST/20). The management of Dachigam National Park (<xref ref-type="fig" rid="fig1">Figure 1</xref>) is handed over to the newly formed Department of Wildlife Protection, Jammu and Kashmir 1982 after separation from Forest Department. The park is divided into two administrative unit Lower and Upper Dachigam which are administered by Central and South Wildlife Division respectively. Now a day it is managed in IUCN category-II (National Park). DNP is surrounded by many conservation reserves which are contiguous to the boundaries.</p><p>There are 32 villages which are located on the periphery of Dachigam [<xref ref-type="bibr" rid="scirp.88959-ref24">24</xref>] . Managing wildlife has become challenging task due to these villages. There are 11 types of forest and grassland categories found in the DNP. Plant species such as Posh (Parrotiopsis jacquemontiana), maple (Acer caesium), mulberry (Morus alba) and walnut (Juglans regia), and conifers such as blue pine (Pinus wallichiana), spruce (Picea smithiana) and fir (Abies pindrow) are common in the low-altitude areas of the park [<xref ref-type="bibr" rid="scirp.88959-ref25">25</xref>] . The high altitude area has sub-alpine forest interspersed with grasslands, and merges into snow-clad peaks over 3500 m. The grasses like Themeda anathera, Poa annua, Cynodon, and Degetaria were most common grasses found in Dachigam.</p><p>Dachigam has diverse fauna; in addition to Kashmir red deer, other rare large mammals found in the area include musk deer (Moschus chrysogaster), serow (Capricornis sumatraensis), Asiatic black bear (Ursus thibetanus), brown bear (Ursus arctos) and common leopard (Panthera pardus). The occurrence of the snow leopard (Panthera uncia) requires confirmation. The other meso-mammals found in the area are Himalayan grey langur (Semnopithecus ajax), red fox (Vulpes vulpes), golden jackal (Canis aureus), small Indian civet (Viverricula indica) and yellow-throated marten (Martes flavigula) [<xref ref-type="bibr" rid="scirp.88959-ref26">26</xref>] [<xref ref-type="bibr" rid="scirp.88959-ref27">27</xref>] .</p></sec><sec id="s2_2"><title>2.2. Methods</title><p>The data were collected on the socio economic parameters from Kashmiri (101) and (32) Gujjar households in New Theed and Mulnar villages. The data were collected through stratified random sampling [<xref ref-type="bibr" rid="scirp.88959-ref28">28</xref>] to select households in the sample villages to collect primary socio-economic data on demographic structure of the households, educational status, occupational pattern, size of land holding, cropping pattern, livestock population. Quantification of biomass extraction by these two communities was done using the data collected from sample households (Survey). Data were also collected on the quantity of extracted biomass used for domestic consumption. Households were asked about the fuel wood, fodder and other Non timber forest product collection and quantity of biomass that they extracted annually from DNP. The head loads were also weighed at the entry and exit points of the park boundary to know the actual amount of fuel wood collection. Along with this a certain weighed amount of their own fuel wood was given to the households and said to use that given fuel wood [sometimes the researcher (KAK) stay in their house to see the actual consumption of fuel wood] after their one day consumption remaining fuel wood were again weighed to know the precise amount of fuel wood consumption. In addition to the household survey, seasonal observations were also made at the entry points from the villages into the forest to quantify the number of people and livestock using the forest in different seasons. Both qualitative and quantitative data were collected using open and close-ended questions. Moreover, fixed response questions were included for easy interpretation and analysis. The questionnaire was tested during reconnaissance survey of the study area and appropriate changes were made accordingly.</p></sec></sec><sec id="s3"><title>3. Results</title><p>The New Theed and Mulnar are among the 32 villages situated at the boundary of DNP. Both the villages are situated almost same distance from the park boundary. The population of New Theed is mainly belongs to the Kashmiri community while the resident of Mulnar is Gujjar. The New Theed comes under the Harwan locality which consists of about 2348 households [<xref ref-type="bibr" rid="scirp.88959-ref29">29</xref>] . Mulnar is a small village situated at the rugged terrain of the mountain. The data was collected from New Theed 101 households (Out of 300) and Mulnar 32 households (Out of 69). On the basis of dependence it was estimated that 21% households from Kashmiri community and 93.75% households of Gujjar community are totally of partially dependent on DNP for their subsistence. The demographic data collected from these two communities indicates that Kashmiri community has smaller family size 5.96 &#177; 0.26 in comparison to Gujjars 6.75 &#177; 0.4. The sex ratio (male:female) was found to be 0.9 and 1.22 of the of Kashmiri and Gujjar community respectively. Jammu and Kashmir state literacy rate was estimated 65.57% and Srinagar district literacy rate was found to be 71.21%. Moreover the average literacy rate was estimate to be 47.82% for Kashmiri community and 37.7% in Gujjar community.</p><p>The occupational status (<xref ref-type="table" rid="table1">Table 1</xref>) of these two communities indicate that Maximum Kashmiri people were government servant (37.03%) followed by the unemployed or Labourer (33.33%) and with equal percentage (14.81%) of people are farmer and in private sector respectively. Moreover the in Gujjar community most of the people were unemployed (59.37%) followed by farmer (18.75%), Government servant (12.5%) and 9.37% people were engaged in private sector.</p><p>Land holding pattern of two communities (<xref ref-type="table" rid="table2">Table 2</xref>) indicates that most of the Kashmiri households were landless (42.59%), in comparison to Gujjars (15.62%),</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Comparative occupation status of Kashmiri and Gujjar communities</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Community</th><th align="center" valign="middle" >Farmer</th><th align="center" valign="middle" >Gov. serv.</th><th align="center" valign="middle" >Unemployed/Labour</th><th align="center" valign="middle" >Private Job</th></tr></thead><tr><td align="center" valign="middle" >Kashmiri</td><td align="center" valign="middle" >14.81</td><td align="center" valign="middle" >37.03</td><td align="center" valign="middle" >33.33</td><td align="center" valign="middle" >14.81</td></tr><tr><td align="center" valign="middle" >Gujjar</td><td align="center" valign="middle" >18.75</td><td align="center" valign="middle" >12.5</td><td align="center" valign="middle" >59.37</td><td align="center" valign="middle" >9.37</td></tr></tbody></table></table-wrap><p>The data is come from the questionnaire survey.</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Land holding pattern of Kashmiri and Gujjar communities</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Community</th><th align="center" valign="middle" >Landless</th><th align="center" valign="middle" >Marginal</th><th align="center" valign="middle" >Small</th><th align="center" valign="middle" >Semi medium</th><th align="center" valign="middle" >Medium</th><th align="center" valign="middle" >Large</th></tr></thead><tr><td align="center" valign="middle" >Kashmiri</td><td align="center" valign="middle" >42.59</td><td align="center" valign="middle" >11.11</td><td align="center" valign="middle" >7.4</td><td align="center" valign="middle" >16.66</td><td align="center" valign="middle" >9.25</td><td align="center" valign="middle" >12.96</td></tr><tr><td align="center" valign="middle" >Gujjar</td><td align="center" valign="middle" >15.62</td><td align="center" valign="middle" >12.5</td><td align="center" valign="middle" >31.25</td><td align="center" valign="middle" >18.75</td><td align="center" valign="middle" >6.25</td><td align="center" valign="middle" >15.62</td></tr></tbody></table></table-wrap><p>The data is come from the questionnaire survey.</p><p>while 31.25% Gujjar households had small land holding in comparison to Kashmiri community (7.4%).</p><p>The cropping pattern of Kashmiri households (<xref ref-type="fig" rid="fig2">Figure 2</xref>) indicates that the most of the households were found to be involved in horticulture (49%) followed by paddy (29%), vegetables (9%), maize (7%) and other (6%). However the cropping pattern of Gujjar community (<xref ref-type="fig" rid="fig3">Figure 3</xref>) indicates that most of the households (85%) were found to be involved in horticulture followed by maize, vegetables (6%) respectively and other (3%).</p><p>The data on monthly average fuel wood collection and consumption were estimated on the basis of questionnaire survey and it was found that the average fuel wood collection was found to be 23.33 kg/month for Kashmiri community and 175 kg/month in Gujjar community. While the average fuel wood consumption was found to be 1.09 kg/day/household for Kashmiri community and 4.04 kg/day/household for Gujjar community.</p><p>The measured average fuel wood collection was found to be 576.82 and 813.46 kg/household/ month for Kashmiri and Gujjar communities respectively. The measure data exaggerated more than the questionnaire data because of two reasons. Firstly people don’t weight the fuel wood and secondly they don’t want to tell the fact about the fuel wood collection.</p><p>In the same way actual amount of fuel wood consumption was estimated to be 7.05 kg/day/household for Kashmiri community and 10.91 kg/day/Household for Gujjar community.</p><p>The average annual fuel wood collection and consumption among the questionnaire data and measured data was given in <xref ref-type="table" rid="table3">Table 3</xref>. The difference among the collection and consumption was found to be high in measured data because people use wood as a winter fire and in “hammams” in winters.</p><p>The Mann Whitney U test was used to see the difference between the fuel wood collection among the Kashmiri and Gujjar Communities. The result was found significant U = 82.5 and P = 0.041 (P &lt; 0.5) among the fuel wood collectors.</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Comparative study of annual fuel wood collection and consumption on Questionnaire data and measurement data</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Community</th><th align="center" valign="middle"  colspan="2"  >Questionnaire Survey Data</th><th align="center" valign="middle"  colspan="2"  >Measurement Data</th></tr></thead><tr><td align="center" valign="middle" >Annual Fuel wood collection/ Household</td><td align="center" valign="middle" >Annual Fuel wood consumptions/ Household</td><td align="center" valign="middle" >Actual fuel wood Collection/ Household (Annual)</td><td align="center" valign="middle" >Actual fuel wood consumption/ Household (Annual)</td></tr><tr><td align="center" valign="middle" >Kashmiri</td><td align="center" valign="middle" >0.21</td><td align="center" valign="middle" >0.29</td><td align="center" valign="middle" >5.19</td><td align="center" valign="middle" >3.01</td></tr><tr><td align="center" valign="middle" >Gujjar</td><td align="center" valign="middle" >1.57</td><td align="center" valign="middle" >1.45</td><td align="center" valign="middle" >7.32</td><td align="center" valign="middle" >4.18</td></tr></tbody></table></table-wrap><p>*The data is come from the questionnaire survey while the measured data (fuelwood collection) was collected from the entry and exit points of the park boundary and consumption data was come from certain weighed amount of fuel wood given to the households and after their one day consumption remain fuel wood were again weighed to know the precise amount of fuel wood consumption.</p><p>According to questionnaire survey about 22% household of Kashmiri community and 65% household of Gujjar community were estimated to engage in fodder collection from DNP.</p><p>However, the data collected on the entry and exit points indicate that 37% household of Kashmiri community and 90.6% of Gujjar community was found to engage in fodder collection from the DNP.</p><p>The average fodder collection was found to be 56.57 kg/day/household for Kashmiri community and 58.55 kg/day/household for Gujjar community.</p><p>Beside these product people extract other NTFP like walnut, medicinal plants, honey and vegetable from DNP.</p></sec><sec id="s4"><title>4. Discussion</title><p>The forests embrace the biological diversity as well as provide the natural resources to the human being. Besides providing such benefits the forests are still degrading day by day due to exponential population growth, poverty and less awareness about the ecosystem services. More than 350 million people were living inside or on the fringes of forests across the world, out of which 60 million were largely dependent for sustenance [<xref ref-type="bibr" rid="scirp.88959-ref15">15</xref>] . Forests in most developing countries are under anthropogenic pressure from resource use by marginalized communities for subsistence as well as due to demand for forest products throughout the world resulting in over exploitation of forests [<xref ref-type="bibr" rid="scirp.88959-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.88959-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.88959-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.88959-ref30">30</xref>] . The condition is considered more perilous in Asia and Africa, where loss of forests during a ten year period in the later part of the 20<sup>th</sup> century was estimated to 163 million ha, of which 154 million ha or 94.5 percent was in the tropics alone [<xref ref-type="bibr" rid="scirp.88959-ref31">31</xref>] .</p><p>The demographic data indicates that Kashmiri community has smaller family size 5.96 &#177; 0.26 in comparison to Gujjars 6.75 &#177; 0.4. This is because of the low literacy rate among the Gujjar community. The sex ratio (male:female) was found to be 0.9 and 1.22 of the of Kashmiri and Gujjar community respectively. Jammu and Kashmir state literacy rate was estimated 65.57% and Srinagar district literacy rate was found to be 71.21%. Srinagar is one among the leading literacy district of Jammu and Kashmir [<xref ref-type="bibr" rid="scirp.88959-ref29">29</xref>] . Moreover the average literacy rate was estimated to be 47.82% for Kashmiri community and 37.7% in Gujjar community. This figure is less than the district as well as the state literacy rate [<xref ref-type="bibr" rid="scirp.88959-ref29">29</xref>] . The literacy rate of Gujjar’s is found low because of unavailability of primary education and less feasibility of road network in the village. Recently the Government Primary school has been established but the children presence was found very low. Out of 37.7% literate in Gujjar community most of the literate were below 16 year age. The condition of New Theed village is better because of the presence of primary as well as Middle school in this village.</p><p>In occupational status more Kashmiri people were government servant 37.03% followed by the unemployed or Laborer (33.33%) and equal percentages (14.81%) of people are farmer and in private sector respectively. Moreover, in the Gujjar community most of the people were unemployed (59.37%) followed by farmer (18.75%), Government servant (12.5%) and 9.37% people were engage in private sector. The Kashmiri community was involved in more government services due to more literacy rate. The Gujjar in Mulnar village were recent settler and are migrated from different part of the Jammu and Kashmir and settled in Mulnar village, while the New Theed is an old revenue village in comparison to Mulnar [<xref ref-type="bibr" rid="scirp.88959-ref24">24</xref>] .</p><p>Land holding pattern among the two communities indicates that most of the Kashmiri households were landless (42.59%), in comparison to Gujjars (15.62%), According to people Maharaja did not allotted land for farming to the relocated people from the DNP. That is why Kashmiri people are more landless than the Gujjars. While the Gujjars were bought the land for their settlement so they have small land holdings.</p><p>The horticulture is a backbone of Jammu and Kashmir economy and it does generate the major part of revenue to the state economy [<xref ref-type="bibr" rid="scirp.88959-ref32">32</xref>] . The cropping pattern of Kashmiris as well as Gujjars households indicates that the most of the households were found to be involved in horticulture 49% and 85% respectively.</p><p>Fuelwood consumption in India is 173,412 Ktons [<xref ref-type="bibr" rid="scirp.88959-ref33">33</xref>] , with 62 percent derived from forests [<xref ref-type="bibr" rid="scirp.88959-ref34">34</xref>] . The data on monthly average fuel wood collection and consumption were estimated on the basis of questionnaire survey and it was found that the average fuel wood collection was found to be 23.33 kg/month for Kashmiri community and 175 kg/month in Gujjar community. While the average fuel wood consumption was found to be 1.09 kg/day/household for Kashmiri community and 4.04 kg/day/household for Gujjar community. This is because of the alternative use by Kashmiri people while the Gujjar community did not use any alternative to fuelwood except the electric heater. Unavailability and high price of LPG is the reason for not using the alternative. People were willing to use the Kerosene stoves but due to irregular and insufficient supply compel them to use fuelwood.</p><p>In conclusion, the Gujjar communities were found to be more dependent on forest resources in comparison to Kashmiris. This unsustainable dependence leads to the forest degradation [<xref ref-type="bibr" rid="scirp.88959-ref35">35</xref>] . Other field based studies on patterns of collection of forest products and their impact on local forests in India, have also found that local livelihood dependence results in degradation [<xref ref-type="bibr" rid="scirp.88959-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.88959-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.88959-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.88959-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.88959-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.88959-ref36">36</xref>] . More than 40% of India’s poor population lives on forest fringes [<xref ref-type="bibr" rid="scirp.88959-ref4">4</xref>] and depends upon forests for a variety of goods and services. Therefore, with such a huge population and extensive dependence pattern, any over exploitation and unsustainable harvest practices can potentially degrade India’s forests [<xref ref-type="bibr" rid="scirp.88959-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.88959-ref30">30</xref>] .</p></sec><sec id="s5"><title>5. Conclusion</title><p>The Gujjar community is poorer, illiterate and has less employment in comparison to the Kashmiri community. This is the main reason that they are more dependent on the forest recourses. The Kashmiri community is richer, literate and has more employment that is why they are less dependent on forest resources for their subsistence. If the dependence will persist long time, it will cause serious problem for the only persisting population of critically endangered Kashmir Red deer. The following recommendation must be implemented to reduce the dependence of people from the Dachigam National Park.</p></sec><sec id="s6"><title>6. Recommendations</title><p>The community forest should be developed around the park boundary to minimize the fuel wood dependence from the forest. The villagers should be allowed to collect fodder from the sheep breeding farm in a regulated manner. Sericulture, Apiculture and Mushroom farming must be promoted in these two villages to reduce the dependence on forest for their livelihood. Awareness programme must be organized in the villages to aware the people about the value of forest and sustainable livelihood. Education and Job opportunity should be provided more to the Gujjar community so that their dependence could be minimized. Alternative to fuel wood should be provided to both the community as subsidies rates (LPG, Kerosene, Solar cooker etc.). A connecting road network must be constructed for the transportation, especially for Mulnar village. Tree felling along with other disturbance must be checked for protection of fauna and flora of DNP.</p></sec><sec id="s7"><title>Acknowledgements</title><p>We are thankful to the Ministry of Environment, Forestry and Climate Change for the funding. We would like to extend our thanks to the economics and wildlife department Aligarh Muslim University for their support. We would like to thanks forest official of Jammu and Kashmir wildlife protection department, especially Tahir Shawl, Imtiyaz A. Lone, Rauf Zargar and others for their immense support in field visit. KAK is thankful to Maulvi Mohammad, Ejaj, Belal, G.M. Dar, Shabbir A. Lone for their support in data collection.</p></sec><sec id="s8"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s9"><title>Cite this paper</title><p>Khan, K.A., Musavi, A., Khan, J.A. and Ahmad,<sup> </sup>K. (2018) Livelihood of Two Local Communities and Their Dependence on Forest Resources: A Case Study from Western Himalaya, Dachigam National Park, Jammu &amp; Kashmir, India. Journal of Human Resource and Sustainability Studies, 6, 294-305. https://doi.org/10.4236/jhrss.2018.64043</p></sec></body><back><ref-list><title>References</title><ref id="scirp.88959-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Caplow, S., Jagger, P., Lawlor, K. and Sills, E. (2011) Evaluating the Land Use and Livelihood Outcomes of Early Forest Carbon Projects: Lessons for REDD+. Environmental Science &amp; Policy, 14, 52-167. https://doi.org/10.1016/j.envsci.2010.10.003</mixed-citation></ref><ref id="scirp.88959-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">SFRI. (2011) State of Forest Report India. 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