Forest restoration and support for sustainable ecosystems in the Gandaki Basin, Nepal

Rimal, Bhagawat; Rijal, Sushila; Stork, Nigel E.; Keshtkar, Hamidreza; Zhang, Lifu

doi:10.1007/s10661-021-09245-1

Cited by 6 publications

(2 citation statements)

References 75 publications

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“…Community forestry has been successful in improving forest stocks, with increases in canopy cover [18], tree species diversity [110], growing stock, and biodiversity [111] being observed, all of which are due to reduced human pressure on forests [110]. Similar trends have been observed in provincial-level studies in Province One and in the Gandaki Province in Nepal [79,112]. Several studies have shown that forest cover of Nepal has increased in different regions.…”

Section: Discussionmentioning

confidence: 73%

Forest Cover and Sustainable Development in the Lumbini Province, Nepal: Past, Present and Future

et al. 2021

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The analysis of forest cover change at different scales is an increasingly important research topic in environmental studies. Forest Landscape Restoration (FLR) is an integrated approach to manage and restore forests across various landscapes and environments. Such restoration helps to meet the targets of Sustainable Development Goal (SDG)–15, as outlined in the UN Environment’s sixth Global Outlook, which includes the sustainable management of forests, the control of desertification, reducing degradation, biodiversity loss, and the conservation of mountain ecosystems. Here, we have used time series Landsat images from 1996 to 2016 to see how land use, and in particular forest cover, have changed between 1996 and 2016 in the Lumbini Province of Nepal. In addition, we simulated projections of land cover (LC) and forest cover change for the years 2026 and 2036 using a hybrid cellular automata Markov chain (CA–Markov) model. We found that the overall forest area increased by 199 km2 (2.1%), from a 9491 km2 (49.3%) area in 1996 to 9691 km2 (50.3%) area in 2016. Our modeling suggests that forest area will increase by 81 km2 (9691 to 9772 km2) in 2026 and by 195 km2 (9772 km2 to 9966 km2) in 2036. They are policy, planning, management factors and further strategies to aid forest regeneration. Clear legal frameworks and coherent policies are required to support sustainable forest management programs. This research may support the targets of the Sustainable Development Goals (SDG), the land degradation neutral world (LDN), and the UN decade 2021–2031 for ecosystem restoration.

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Section: Discussionmentioning

confidence: 73%

Forest Cover and Sustainable Development in the Lumbini Province, Nepal: Past, Present and Future

et al. 2021

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“…R denotes the improvement measures taken by the government in response to the current environmental pressure and status, and it represents the ecological management of the watershed, i.e., environmental governance. Rimal et al (2021), Xu et al (2022a), and Zhang et al (2010) considered that restoration of degraded forests, water conservation, and soil erosion control are essential to reduce ecological pressures from humans, respectively; therefore, we chose "afforestation area", "water consumption intensity", and "soil erosion control area" for R. The preallocation index system of the basin ecological compensation funds is presented in Table 1.…”

Section: Pre-allocation Modelmentioning

confidence: 99%

A comprehensive model of basin ecological compensation funds—A case study of the Yellow River Basin in China

Zhang

Zou²,

Zhang³

2023

Front. Environ. Sci.

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The key issue in the ecological compensation mechanism in the Yellow River Basin (YRB) is the allocation of ecological compensation funds, which need to be optimized to maximize the comprehensive benefits of compensation. In this study, a comprehensive allocation model for ecological compensation funds in the YRB was constructed using the “doughnut” framework. A pre-allocation model was used to enhance the ecological benefits and quantifies the ecological value created by the compensated subjects. A pre-allocation scheme was then determined using the pre-allocation model. The optimal allocation model focuses on benefit sharing and sets a socioeconomic discrimination index system to optimize the pre-allocation scheme. Then, an empirical analysis was conducted using data from 28 regions in the upstream YRB from 2016 to 2020. The results showed that in the pre-allocation scheme, the proportion of funds was low in the west and high in the east. Each region received compensation funds based on the ecological benefits they provide. In the optimal allocation scheme, the proportion of funds received by the central and western regions in the upstream YRB should be higher, while the proportion of funds received by provincial capitals and economically strong cities should be lower, which is in line with the actual development situation in the upstream YRB. The final scheme can effectively meet the objectives of basin-wide sustainable development, ecological benefits enhancement, and benefit sharing in the YRB. This can help achieve basin-wide sustainable development and provide a reference for determining ecological compensation fund allocation schemes in other basins.

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Impact of thirteen run-of-river hydroelectric projects on land use land cover and ecosystem services in Nepal

Neupane

Das

Velvizhi

et al. 2022

Int J Energ Water Res

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Forest restoration and support for sustainable ecosystems in the Gandaki Basin, Nepal

Cited by 6 publications

References 75 publications

Forest Cover and Sustainable Development in the Lumbini Province, Nepal: Past, Present and Future

Forest Cover and Sustainable Development in the Lumbini Province, Nepal: Past, Present and Future

A comprehensive model of basin ecological compensation funds—A case study of the Yellow River Basin in China

Impact of thirteen run-of-river hydroelectric projects on land use land cover and ecosystem services in Nepal

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