Elevation map of Nepal 

Elevation map of Nepal 

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This study quantifies the nationwide land cover and long-term changes in forests and its implications on forest fragmentation in Nepal. The multi-source datasets were used to generate the forest cover information for 1930, 1975, 1985, 1995, 2005 and 2014. This study analyzes distribution of land cover, rate of deforestation, changes across forest t...

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... days are considered as dry semiarid (http://www.fao.org/docrep/x5308e/x5308e02.htm). The climatic data pertaining to temperature and rainfall was collected from the site www.worldclim.com. SRTM Digital Elevation Model was used to understand the relation of elevation and forest types ( Rabus et al. 2003). Elevation zone map of Nepal is given in Fig. 1. ...
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... during , 1975Nepal during -1985Nepal during , 1985Nepal during -1995Nepal during , 1995Nepal during -2005Nepal during and 2005Nepal during -2014. The spatial database generated on forest types and forest canopy density from 1975 to 2014 and land cover information for 2014 at a national level is useful for land use planning and conservation. Fig. 1 Elevation map of Nepal Fig. 2 Land cover map of Nepal (2014) Fig. 3 Forest cover of Nepal, (1930, 1975, 1985, 1995, 2005 and 2014) Forest cover maps of Nepal (1930Nepal ( , 1975Nepal ( , 1985Nepal ( , 1995Nepal ( , 2005Nepal ( and 2014) Fig. 4. Forest type and canopy density map of Nepal ...
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... spatial analysis of forest type wise fragmentation for 1975, 1985, 1995, 2005 and 2014 are shown in Tables 1-5. Forest cover change maps of Nepal for 1930Nepal for -1975Nepal for , 1975Nepal for -1985Nepal for and 2005Nepal for -2014 are shown in Figures 1, 2 and 3. Fig. 1. ...
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... spatial analysis of forest type wise fragmentation for 1975, 1985, 1995, 2005 and 2014 are shown in Tables 1-5. Forest cover change maps of Nepal for 1930Nepal for -1975Nepal for , 1975Nepal for -1985Nepal for and 2005Nepal for -2014 are shown in Figures 1, 2 and 3. Fig. 1. Forest cover change in Nepal, 1930Nepal, -1975 ...

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... Following that, an expert level discussion is required to establish a common census to classify and layout the whole map of the country's vegetation and forest kinds. Despite an increase in population, Nepal's forest cover has expanded, and the rate of deforestation has decreased in recent years (Reddy et al. 2018). This could help save significant plant species in the forest or in the wild. ...
Chapter
Nepal’s forests and vegetation are categorized in a number of ways. We have made an effort to illustrate the various categorization schemes now in use and to give the classification of Nepal’s vegetation and forest according to altitudinal ranges in this chapter. In the tropical zone (up to 1000 m), subtropical zone (1000–2000 m), temperate zone (2000–3000 m), subalpine zone (3000–4100 m), alpine zone (beyond 4100 m), and nival zone (beyond 6000 m) zones, we have characterized various vegetation and forest types with related plant species. Additionally, we have included information on the condition of the forests, shrubland, grassland, and agricultural land. For the plant species mentioned in the chapter, we have also included the family, names in Nepali, and range in the appendix.
... The MSPA divides binary grid images into seven categories: Core, Islet, Perforation, Edge, Bridge, Loop, and Branch, each with specific ecological meanings. This widely-used method allows to analyze landscapes through numerical representation (Kang and Kim, 2015;Sudhakar et al., 2018;Wang et al., 2020;Huang et al., 2021;Wang et al., 2022). The input raster for this analysis were the results of MaxEnt for current and future climatic conditions. ...
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... In addition to the massive deforestation in the past, there has been a continuous increase in forest cover, in which the concept of community forest systems, with the notion of local users as the managers of forests, has played a crucial role [55,84]. In contrast, a different study showed a heavy decline in forest areas and, consequently, increased in fragmentation over a period of 84 years (1930-2014) [85]. The forest-cover analysis was performed by combining different data at various resolutions with topographical maps, which revealed a sharp decline from 76,710 km 2 (52.1%), in 1930, to 39,392 km 2 (26.8%), in 2014. ...
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Article
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