Land use/land cover changes in the central part of the Chitwan Annapurna Landscape, Nepal

Adhikari, Jagan Nath; Bhattarai, Bishnu Prasad; Rokaya, Maan Bahadur; Thapa, Tej Bahadur

doi:10.7717/peerj.13435

Cited by 8 publications

(5 citation statements)

References 51 publications

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“…However, sandy area, water bodies and others land particularly built up area has been found increased during the study period in the park area (Figure 3). Similar type of study conducted in the Chitwan Annapurna Landscape area during 2000 to 2020 noticed an overall increase in Sal dominated forest, built up area, mixed forest and decreased in riverine forest, barren area, croplands and grasslands (Adhikari et al, 2022).…”

Section: Land Cover Changes Between 1994-2021 In Park Area Of Snnpsupporting

confidence: 60%

Use of Spatial Technology for Land Cover Change Assessment in Protected Area Management

Dhakal

2022

The Third Pole

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Land cover assessment and monitoring of land cover dynamics are important to understand social and ecological processes in protected areas and it is helpful in monitoring, modeling and detection of environmental changes. Land cover is the characteristics of the physical material on the ground surface. Change in land cover is among the most important human alteration affecting the surface of earth that directly impacts on biological diversity. Such changes affect and increase the vulnerability of population, environment and ecosystem to global phenomena of climate change. This study has assessed the changes in land cover in Shivapuri Nagarjun National Park (SNNP) along with its Buffer Zone during twenty-seven years. The main objective of this study is to identify the changed scenario on land cover condition of the study area based on available topographic maps (1994), Google Earth images (2021) and Key Informant Interview (KII). The study has adopted Remote Sensing (RS), Geographic Information System (GIS) and Global Positioning System (GPS) approach supported by secondary data and focus group discussion for classification and mapping of land cover. Among the different land cover classes, forest land, sandy area, water bodies and others land particularly built up area have been increased whereas, the bush/shrub land, cultivated land and grass land have been found decreased in the park area. On the other hand, the cultivated land, grass land and water bodies have been found decreased, while the bush/ shrub land, forest land, sandy area and others land particularly built up areas have been found significantly increased during 1994 to 2021 in the BZ area. It will provide a baseline for planners and policy makers to make proper plans to sustainably manage the protected area’s land cover.

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Section: Land Cover Changes Between 1994-2021 In Park Area Of Snnpsupporting

confidence: 60%

Use of Spatial Technology for Land Cover Change Assessment in Protected Area Management

Dhakal

2022

The Third Pole

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“…An analysis of the land use/land cover using Landsat imagery from 2020 revealed that the Chitwan area consists of grassland (1.73%), barren areas (1.76%), riverine forests (1.93%), water bodies (1.97%), developed areas (4.13%), Sal-dominated forests (15.4%), croplands (28.13%), and mixed forests (44.95%). Comparing land cover changes between 2000 and 2020, there was an overall increase in Sal-dominated forests (7.6%), developed areas (31.34%), and mixed forests (37.46%), and a decrease in riverine forests (11.29%), barren areas (20.03%), croplands (29.87%), and grasslands (49.71%) [ 31 , 32 ]. A significant portion of the forested land in the district is the Chitwan National Park, which is protected as a habitat for various wildlife and other ecological benefits, and attracts a large number of tourists [ 33 ].…”

Section: Methodsmentioning

confidence: 99%

Comparative analysis of soil organic matter fractions, lability, stability ratios, and carbon management index in various land use types within bharatpur catchment, Chitwan District, Nepal

Murindangabo,

Kopecký,

Hoang

et al. 2023

Carbon Balance Manage

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Background Land use and land cover changes have a significant impact on the dynamics of soil organic matter (SOM) and its fractions, as well as on overall soil health. This study conducted in Bharatpur Catchment, Chitwan District, Nepal, aimed to assess and quantify variations in total soil organic matter (TSOMC), labile organic matter fraction (CL), stable organic matter fraction (CS), stability ratio (SR), and carbon management index (CMI) across seven land use types: pastureland, forestland, fruit orchards, small-scale conventional agricultural land, large-scale conventional agricultural land, large-scale alternative fallow and conventional agricultural land, and organic farming agricultural land. The study also explored the potential use of the Carbon Management Index (CMI) and stability ratio (SR) as indicators of soil degradation or improvement in response to land use changes. Results The findings revealed significant differences in mean values of TSOMC, CL, and CS among the different land use types. Forestland and organic farming exhibited significantly higher TSOMC (3.24%, 3.12%) compared to fruit orchard lands (2.62%), small scale conventional farming (2.22%), alternative fallow and conventional farming (2.06%), large scale conventional farming (1.84%) and pastureland (1.20%). Organic farming and Forestland also had significantly higher CL (1.85%, 1.84%) and CS (1.27%, 1.39%) compared to all other land use types. Forest and organic farming lands showed higher CMI values, while pastures and forests exhibited higher SR values compared to the rest of the land use types. Conclusions This study highlights the influence of various land use types on soil organic matter pools and demonstrates the potential of CMI and SR as indicators for assessing soil degradation or improvement in response to land use and land cover changes.

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“…The consistency of land cover classes at national, regional, and international levels is always different (Wang et al, 2020;Adhikari et al, 2022). In this study, we classified the land cover of Tikjda forest into three major classes (Table 1) based on the dominant soil present.…”

Section: Image-supervised Classificationmentioning

confidence: 99%

“…Spatiotemporal dynamics of forest areas over large extents is relevant for an improved understanding of forest ecology, for example, concerning species dynamics, and their role in ecosystem functions and services (Van Ewijk et al, 2014;Fassnacht et al, 2016;Mboga et al, 2020).Forest cover dynamics is largely evaluated around the world due to the increasing socioeconomic needs following the exponential increase of human population (Hassan et al, 2016;Zhu et al, 2021). Furthermore, understanding the dynamics of land cover and its impact on forest landscape functioning is critical for biodiversity conservation (García-Vega, Newbold, 2020), as it is necessary to understand the extent of the forest covers to identify the drivers and their effects on the ecological and anthropogenic processes (Adhikari et al, 2022). Nowadays, thanks to the combination of ecological history and remote sensing data, novel solutions are readily developed (Mboga et al, 2020;Solano et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

A Spatiotemporal Survey of Tikjda Forest Dynamics Over A 34-Year Period by Aerial Photographs

Dib

Said

Krouchi

2023

Ekológia (Bratislava)

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Obtaining accurate forest cover information and dynamics of land occupation, through time, such as the spatial extent and pattern of disturbance and recovery is essential knowledge and assistance for forest managers and a crucial basis for the protection and conservation of current forest resources. Because most recent researches have focused on forest field survey and monitoring, a land classification containing information on forest cover dynamics is critically needed. Over the last decades, advances in remote sensing technology have enabled an accurate classification of different land covers from several sensors and remotely sensed data. We presently retained Tikjda forest (Djurdjura southerner, Algeria) as a case study to investigate the possibility of aerial photos classification and to analyze the historical dynamics of the area using a change detection analysis of multi-temporal data. To classify the study area’s main cover types, we used photographs collected over a period of 34 years (i.e., from 1983 to 2017). The results revealed that in 2017, Tikjda forest was composed of forest areas (24.1%), degraded areas (49.7%), and barren areas (26.2%). Throughout the investigated period, the analysis revealed a notable increase in barren areas (+9.8%), and degraded areas (+14.4%), While forest areas experienced a significant decrease (−24.2%). Moreover, the results confirm the potential of aerial photographs for an accurate classification of forests.

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Land use/land cover changes in the central part of the Chitwan Annapurna Landscape, Nepal

Cited by 8 publications

References 51 publications

Use of Spatial Technology for Land Cover Change Assessment in Protected Area Management

Use of Spatial Technology for Land Cover Change Assessment in Protected Area Management

Comparative analysis of soil organic matter fractions, lability, stability ratios, and carbon management index in various land use types within bharatpur catchment, Chitwan District, Nepal

A Spatiotemporal Survey of Tikjda Forest Dynamics Over A 34-Year Period by Aerial Photographs

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