Forest Resource Use Patterns in Relation to Socioeconomic Status

Sharma, C. M.; Gairola, Sumeet; Ghildiyal, S. K.; Suyal, Sarvesh

doi:10.1659/mrd.00018

Cited by 52 publications

(18 citation statements)

References 15 publications

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“…These findings are in conformity with findings of Sen (2002). Lack of employment opportunities also compels the people to depend on forests (Sharma et al, 2009). …”

Section: Asian J Earthsupporting

confidence: 90%

Assessment of Land Use/Land Cover Change in Hirpora Wildlife Sanctuary, Kashmir

Ahmad¹,

Hassan²,

Farooq³

et al. 2015

Asian J. of Earth Sciences

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The human interference and modification of landscape has occurred globally but has increased incidence and consequences in the developing countries mostly due the population growth, fragility of landscape and unplanned development. The aim of the study is to detect the land use changes between 1990-2010 using satellite images of IRS-IC LISS-III (2010) and LANDSAT TM (1990) and SOI topographic maps. During the 20 years all the three sites have shown major land use changes. Among these, site I has undergone positive changes into Cropland 46 ha (14.64%), Horticulture land 12 ha (3.82%), Built-up 2 ha (0.63%) while, the areas of site II has shown an alarming decrease in pasture land with 7 ha (2.22%), Sparse forest land 12 ha (3.82%). However, the site III has shown a remarkable decrease in the area of Dense forest land 56 ha (17.82%), water bodies 5 ha (1.59%) as well as depicts marked increase in the area of Scrub land 136 ha (43.31%), Pasture land 65 ha (20.70%). These changes have clearly established that the Hirpura wildlife sanctuary is under an imminent threat to its very existence. Thus, it becomes imperative that the government should prepare working plans for its conservation which has not taken yet.

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“…These findings are in conformity with findings of Sen (2002). Lack of employment opportunities also compels the people to depend on forests (Sharma et al, 2009). …”

Section: Asian J Earthsupporting

confidence: 90%

Assessment of Land Use/Land Cover Change in Hirpora Wildlife Sanctuary, Kashmir

Ahmad¹,

Hassan²,

Farooq³

et al. 2015

Asian J. of Earth Sciences

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“…Roy et al (2002) used patch density, porosity, fragmentation, and juxtaposition to assess the disturbance regime of the region. Sharma, Gairola, Ghildiyal, and Suyal (2009) found a positive correlation between poor socio-ecological status of villagers and fuelwood collection in the temperate forests of the Garhwal Himalaya.…”

mentioning

confidence: 87%

“…The mean human appropriation of net primary productivity in the southwestern region and the mean global human footprint at flat elevated surfaces indicate anthropogenic disturbance in highpopulated areas. The areal proximity and dominant grassland vegetation might have increased the human impact of these regions Sharma et al (2009). described the positive correlation between fuel wood collection and forest dependence on forests of villagers to their poor socio-ecological status.We found physiography to be a weaker predictor of species richness compared with disturbance.…”

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confidence: 99%

Energy determines broad pattern of plant distribution in Western Himalaya

Panda

Roy

Biradar³

2017

Ecology and Evolution

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Several factors describe the broad pattern of diversity in plant species distribution. We explore these determinants of species richness in Western Himalayas using high‐resolution species data available for the area to energy, water, physiography and anthropogenic disturbance. The floral data involves 1279 species from 1178 spatial locations and 738 sample plots of a national database. We evaluated their correlation with 8‐environmental variables, selected on the basis of correlation coefficients and principal component loadings, using both linear (structural equation model) and nonlinear (generalised additive model) techniques. There were 645 genera and 176 families including 815 herbs, 213 shrubs, 190 trees, and 61 lianas. The nonlinear model explained the maximum deviance of 67.4% and showed the dominant contribution of climate on species richness with a 59% share. Energy variables (potential evapotranspiration and temperature seasonality) explained the deviance better than did water variables (aridity index and precipitation of the driest quarter). Temperature seasonality had the maximum impact on the species richness. The structural equation model confirmed the results of the nonlinear model but less efficiently. The mutual influences of the climatic variables were found to affect the predictions of the model significantly. To our knowledge, the 67.4% deviance found in the species richness pattern is one of the highest values reported in mountain studies. Broadly, climate described by water–energy dynamics provides the best explanation for the species richness pattern. Both modeling approaches supported the same conclusion that energy is the best predictor of species richness. The dry and cold conditions of the region account for the dominant contribution of energy on species richness.

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“…Q. leucotrichophora is an evergreen tree, locally known as "Banj oak" and it is a valuable keystone species with great societal relevance (Ramakrishnan, 2001). Banj is among the main forest-forming species in the densely populated mid-altitudinal zones of the Central Himalaya and provides a variety of ecosystem services (Zobel and Singh, 1997;Sharma et al, 2009). The oaks, particularly Q. leucotrichophora is intricately associated not only with agro-ecosystems but also with the life support systems of the inhabitants of the hills in the Himalaya (Makino, 2011).…”

Section: Introductionmentioning

confidence: 99%

Cutting Management Versus Biomass and Carbon Stock of Oak Under High Density Plantation in Central Himalaya, India

Yadav¹

2016

Appl Ecol Env Res

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Abstract. Tree growth and productivity are influenced by silvicultural strategies such as tree density and cutting management, which determine the potential of tree species to store carbon in the vegetation. A field experiment was conducted at Vivekananda Institute of Hill Agriculture, Almora, India in a 30-yearold Quercus leucotrichophora to evaluate the changes in vegetation carbon pools as a function of four cutting management (1m, 2m, local practice, and above 1/3 rd part undisturbed), under high density plantation (1.0m × 1.0m). Tree cutting management significantly (<0.01) influenced the carbon stocks of Q. leucotrichophora trees. Total vegetation (aboveground + below ground) carbon stock was highest for the above 1/3 rd part undisturbed (356.9 Mg ha -1 ) and lowest in the cutting at 1m (86.7 Mg ha -1 ). Overall, less disturbance to stands promote carbon storage, but intense cutting management (e.g., cutting at 1m) may adversely affect tree growth and productivity, reducing vegetation carbon pools. Cutting management effects are very much visible on carbon stock of Q. leucotrichophora under high density plantation. By extension, stand cutting exerts negative or positive feedbacks on biomass accretion, which may also influence the amount of carbon sequestered by the trees.

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Forest Resource Use Patterns in Relation to Socioeconomic Status

Cited by 52 publications

References 15 publications

Assessment of Land Use/Land Cover Change in Hirpora Wildlife Sanctuary, Kashmir

Assessment of Land Use/Land Cover Change in Hirpora Wildlife Sanctuary, Kashmir

Energy determines broad pattern of plant distribution in Western Himalaya

Cutting Management Versus Biomass and Carbon Stock of Oak Under High Density Plantation in Central Himalaya, India

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