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206 results on '"Paudel, Basanta"'

9. Upper Elevational Limit of Vegetation in the Himalayas Identified from Landsat Images.

Author

Wei, Bo, Zhang, Yili, Liu, Linshan, Zhang, Binghua, Gong, Dianqing, Gu, Changjun, Li, Lanhui, and Paudel, Basanta

Subjects
DETECTION algorithms, MOUNTAIN climate, VISUAL fields, VEGETATION dynamics, MOUNTAIN plants
Abstract

Climate change has caused substantial shifts in species' ranges and vegetation distributions in local areas of the Himalayas. However, the spatial patterns and dynamic changes of the vegetation lines in the Himalayas remain poorly understood due to the lack of comprehensive vegetation line dataset. This study developed a method to identify vegetation lines by combining the Canny edge detection algorithm with elevation parameters and produced comprehensive vegetation line datasets with 30 m resolution in the Himalayas. First, the Modified Soil-Adjusted Vegetation Index (MSAVI) was applied to indicate vegetation presence. The image was then smoothed by filling (or removing) small non-vegetated (or vegetated) patches scattered within vegetated (or unvegetated) areas. Subsequently, the Canny edge detection algorithm was applied to identify vegetation edge pixels, and elevation differences were utilized to determine the upper edges of the vegetation. Finally, Gaussian function-based thresholds were used across 24 sub-basins to determine the vegetation lines. Field surveys and visual interpretations demonstrated that this method can effectively and accurately identify vegetation lines in the Himalayas. The R2 was 0.99, 0.93, and 0.98, respectively, compared with the vegetation line verification points obtained through three different ways. The mean absolute errors were 11.07 m, 29.35 m, and 13.99 m, respectively. Across the Himalayas, vegetation line elevations ranged from 4125 m to 5423 m (5th to 95th percentile), showing a trend of increasing and then decreasing from southeast to northwest. This pattern closely parallels the physics-driven snowline. The method proposed in this study enhances the toolkit for identifying vegetation lines across mountainous regions. Additionally, it provides a foundation for evaluating the responses of mountain vegetation to climate change in the Himalayas. [ABSTRACT FROM AUTHOR]

Published
2025
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10. Ethnomedicinal landscape: distribution of used medicinal plant species in Nepal

Author

Kunwar, Ripu M., Baral, Bikash, Luintel, Sanjeev, Uprety, Yadav, Poudel, Ram C., Adhikari, Binaya, Adhikari, Yagya P., Subedi, Suresh C., Subedi, Chandra K., Poudel, Prakash, Paudel, Hem R., Paudel, Basanta, Kunwar, Laxmi Mahat, Upadhayaya, Kul S., Bhattarai, Shandesh, Pyakurel, Dipesh, Kutal, Durga H., Pandey, Pramod, Bhandari, Ananta, Thapa, Gokarna J., Zambrana, Narel Y. Paniagua, and Bussmann, Rainer W.

Published
2022
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11. Climate

Author

Paudel, Basanta, Panday, Dinesh, Dhakal, Kundan, Hartemink, Alfred E., Series Editor, Ojha, Roshan Babu, editor, and Panday, Dinesh, editor

Published
2021
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12. Land Use and Land Cover

Author

Paudel, Basanta, Adhikari, Basanta Raj, Hartemink, Alfred E., Series Editor, Ojha, Roshan Babu, editor, and Panday, Dinesh, editor

Published
2021
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26. Climate

Author

Paudel, Basanta, primary, Panday, Dinesh, additional, and Dhakal, Kundan, additional

Published
2021
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36. Perception and Understanding of Climate Change and Its Impact in Gandaki River Basin, Central Himalaya, Nepal

Author

Paudel, Basanta, primary, Chapagain, Prem Sagar, additional, Shrestha, Shobha, additional, Zhang, Yili, additional, Liu, Linshan, additional, Yan, Jianzhong, additional, Rai, Suresh Chand, additional, Islam, Md. Nurul, additional, Banskota, Tibendra Raj, additional, Poudel, Khagendra Raj, additional, and Dhakal, Keshav Raj, additional

Published
2022
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40. Do Ecological Restoration Projects Undermine Economic Performance? A Spatially Explicit Empirical Study in Loess Plateau, China.

Author

Li, Shicheng, Xie, Jinqian, and Paudel, Basanta

Subjects
RESTORATION ecology, ECONOMIC indicators, ECOSYSTEM services, GRAIN yields, EMPIRICAL research, GROSS domestic product
Abstract

Exploring the complex relationship between ecological restoration and economic development is valuable for decision makers to formulate policy for sustainable development. The large-scale environmental restoration program—Grain for Green—was mainly implemented in the Loess Plateau of China to improve the soil retention service. However, whether this world-famous program affects local economic development has not been fully explored. In this study, using the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model and spatializing the gross domestic product (GDP) based on the remotely sensed nightlight data, we explored the tradeoff between environment (i.e., soil retention service) and economy (i.e., GDP) for the Loess Plateau in a spatially explicit way. We found that the soil retention service increased prominently over the past 40 years, especially after implementing the Grain for Green project. Meanwhile, the GDP increased about nine-fold over the past four decades from 4.52 to 40.29 × 107 USD. A win–win situation of soil retention and economic development was achieved in the Loess Plateau of China, particularly in the loess gully and loess hilly gully regions of the Loess Plateau. The win–win situation of soil retention and economic development was as a result of the Grain for Green program, the optimization of industrial structure, and the increase in non-agriculture employment. Compared with previous studies, more spatial information was available for the Loess Plateau in this study, which is more valuable to policymakers. [ABSTRACT FROM AUTHOR]

Published
2023
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44. Patient with Dravet syndrome: A case report

Author

Yadav, Rukesh, primary, Shah, Sangam, additional, Bhandari, Bibek, additional, Marasini, Kundan, additional, Mandal, Prince, additional, Murarka, Hritik, additional, Pandey, Anuj Kumar, additional, and Sharma Paudel, Basanta, additional

Published
2022
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