Vegetation loss and recovery analysis from the 2015 Gorkha earthquake (7.8 Mw) triggered landslides

Hari Prasad Pandey, Kaushal Gnyawali, Kshitij Dahal, Narayan Prasad Pokhrel and Tek Narayan Maraseni

Land Use Policy, 2022, vol. 119, issue C

Abstract: The 2015 Gorkha earthquake (7.8 Mw) triggered thousands of landslides in the highlands of central Nepal, causing widespread vegetation damage. After the earthquake, several attempts were made by the government to recover damaged vegetation; however, the efficacy of artificial restoration (from public finance) vs. self-ecological restoration is unknown. We analyze the vegetation recovery process of the areas impacted by the 2015 Gorkha earthquake landslides with a dual-lens: (1) remote sensing and (2) public finance and policy. Using remote sensing, Vegetation Recovery Rate (VRR) is estimated from the normalized difference vegetation index (NDVI) from Landsat imagery between 2015 and 2021. Then public finance data is analyzed to compare the efficacy of vegetation recovery from the artificial vs. self-ecological restoration. The study examines fourteen severely impacted districts from the Gorkha earthquake in 2015. Out of 24,826 landslides triggered by the earthquake, ~95% of vegetation damage was caused by 13,670 large landslides (with area >0.09 ha). A total of 8651.58 ha of vegetation was lost due to landslides induced by the 2015 Gorkha earthquake. About 4442 ha (51%) of such lost vegetation has been restored so far. Only 9.5% of this restored vegetation was due to artificial restoration, while the remaining 90.5% was by self-ecological restoration process in protected areas. Furthermore, VRR analysis showed that at least nine years are required to restore vegetation cover to the pre-earthquake level (R2 =0.91). The government had invested 3.73 million USD in this duration for artificial restoration. Our findings suggest that strict protection promotes self-ecological restoration, an effective tract for vegetation recovery, over artificial interventions. Findings provide insights for plausible decision-making in restoring lost vegetation due to earthquake-triggered landslides.

Keywords: Earthquake-induced landslide; Ecological restoration; Gorkha earthquake; Public finance; Vegetation recovery (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:lauspo:v:119:y:2022:i:c:s0264837722002125

DOI: 10.1016/j.landusepol.2022.106185

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