Scenario based urban growth allocation in Kathmandu Valley, Nepal

Thapa, Rajesh; Murayama, Yuji

doi:10.1016/j.landurbplan.2011.12.007

Cited by 138 publications

(67 citation statements)

References 22 publications

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“…Between 1978/79 and 2010, there has been a rapid increase in the urban area of Nepal (LRMP 1986;Uddin et al 2015). This was (Table 4) clarified by the satellite-based study of urban growth in Kathmandu valley between 1991 and 2010 and model-based prediction up to 2050 (Thapa and Murayama 2012). In 1978/79, there was a much smaller area of urban land, covering only 122 km 2 (LRMP 1986) (Figure 9a).…”

Section: Forest Land Changementioning

confidence: 89%

Review of studies on land use and land cover change in Nepal

Paudel

Zhang

et al. 2016

J. Mt. Sci.

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Section: Forest Land Changementioning

confidence: 89%

Review of studies on land use and land cover change in Nepal

Paudel

Zhang

et al. 2016

J. Mt. Sci.

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“…Such methods are among the most widely used methods for modeling complex behaviors and patterns [50][51][52]. As a non-parametric technique, MLP has advantages in modeling complicated functional associations of land use classes.…”

Section: Mlp_markov Chain Model (Mlp_mc)mentioning

confidence: 99%

Analysis and Prediction of Land Use Changes Related to Invasive Species and Major Driving Forces in the State of Connecticut

Wang

Zhang

Allen

et al. 2016

Land

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Land use and land cover (LULC) patterns play an important role in the establishment and spread of invasive plants. Understanding LULC changes is useful for early detection and management of land-use change to reduce the spread of invasive species. The primary objective of this study is to analyze and predict LULC changes in Connecticut. LULC maps for 1996, 2001 and 2006 were selected to analyze past land cover changes, and then potential LULC distribution in 2018 was predicted using the Multi-Layer Perceptron Markov Chain (MLP_MC) model. This study shows that the total area of forest has been decreasing, mainly caused by urban development and other human activity in Connecticut. The model predicts that the study area will lose 5535 ha of deciduous forest and gain 3502 ha of built-up area from 2006 to 2018. Moreover, forests near built-up areas and agriculture lands appear to be more vulnerable to conversion. Changes in LULC may result in subtle spatial shifts in invasion risk by an abundant invasive shrub, Japanese barberry (Berberis thunbergii). The gain of developed areas at the landscape scale was most closely linked to increased future invasion risk. Our findings suggest that the forest conversion needs to be controlled and well managed to help mitigate future invasion risk.

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“…There is a long history of studies of the global impact of human activity on the environment [7]. In previous centuries, negative consequences of human activity [8] on the Earth's landscape were recognized [9], and in recent decades a rapidly increasing human amendment of land cover and its conversion has occurred [10,11]. The process of cropland change is…”

Section: Introductionmentioning

confidence: 99%

Changes in Cropland Status and Their Driving Factors in the Koshi River Basin of the Central Himalayas, Nepal

et al. 2016

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Abstract:In recent decades, human activities have significantly transformed land use and land cover (LULC) and the environment of the Central Himalayas region. LULC is a major component of environmental and climatic research. The aim of this study was to determine the changes in cropland status and its drivers in the Koshi River Basin (KRB) of the Central Himalayas region of Nepal between 1978 and 2010. The cropland status in 1978 was obtained from the Land Resources Mapping Project (LRMP) datasets. The cropland status in 1992 and 2010 was determined on the basis of satellite imagery, with an object-oriented classification method, together with field investigations. Advanced geographical tools were used for data processing and binary logistic regression models were used for the statistical analysis of potential driving factors of cropland change. A noticeable overall change in cropland area was found, with rapid increases from 1978 onward at differing rates and to different extents. The cropland area covered 7165 km 2 in 1978. It peaked at 7867.49 km 2 in 1992, and had reduced slightly (by 90 km 2 ) to 7776.66 km 2 by 2010. The change in cropland area was mainly related to four potential driving factors: topography (elevation, slope, and soil types), socioeconomics (population and foreign labor migration), climate (annual mean temperature and precipitation), and neighborhood factors (roads, rivers, and settlements). However, the effects of the different variables have occurred over various stages and at different rates. An understanding of long-term changes in cropland status in the KRB would be useful, and this could be extended to spatial reconstructions with the help of historical data, including cropland and climatic archives.

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Scenario based urban growth allocation in Kathmandu Valley, Nepal

Cited by 138 publications

References 22 publications

Review of studies on land use and land cover change in Nepal

Review of studies on land use and land cover change in Nepal

Analysis and Prediction of Land Use Changes Related to Invasive Species and Major Driving Forces in the State of Connecticut

Changes in Cropland Status and Their Driving Factors in the Koshi River Basin of the Central Himalayas, Nepal

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