jabbrv-ltwa-all.ldf jabbrv-ltwa-en.ldf Spatiotemporal Impacts of Forest Fires on Mountain Vegetation: A Case Study from Langtang National Park, Nepal Himalaya
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Abstract
Fire is a major ecological driver affecting vegetation growth species distributions, and wildlife habitats, emphasizing its ecological importance’s. This study analysis a vegetation health and fire dynamic in Langtang National Park (LNP) Nepal using MODIS derived fire occurrences data, Normalized Difference Vegetation Index (NDVI), Vegetation Condition Index (VCI), Climate Hazard Center Infrared precipitation with stations (CHRIPS) data, Land Surface Temperature (LST) data to examine the vegetation health and fire dynamic over 20 years (200-2020).The Mann-Kendall (MK) trend tests showed a significant increase in NDVI maximum values ( p 0.05 ). While (r = 0.62) a good positive correlation was found between maximum temperature and burn area, increased temperature relates to increase in fire activity and larger burn areas. Similarly VCI maximum highly predicated NDVI values (p = 0.0001), with moderate though significant fires impacting vegetation health. Grassland and needle leaf forests are the major land cover with relatively high fire frequency. Likely due to flammable biomass and seasonal dryness, while broad leaved closed forests displayed better fire resilience. The findings underline the need for integrated fire management strategies involving satellite monitoring, risk zonation, climate responsive planning, and community engagement to reduce fire risks in ecological sensitive area and strengthen ecosystem resilience in the Himalaya.
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Abstract
Fire is a major ecological driver affecting vegetation growth species distributions, and wildlife habitats, emphasizing its ecological importance’s. This study analysis a vegetation health and fire dynamic in Langtang National Park (LNP) Nepal using MODIS derived fire occurrences data, Normalized Difference Vegetation Index (NDVI), Vegetation Condition Index (VCI), Climate Hazard Center Infrared precipitation with stations (CHRIPS) data, Land Surface Temperature (LST) data to examine the vegetation health and fire dynamic over 20 years (200-2020).The Mann-Kendall (MK) trend tests showed a significant increase in NDVI maximum values ( p 0.05 ). While (r = 0.62) a good positive correlation was found between maximum temperature and burn area, increased temperature relates to increase in fire activity and larger burn areas. Similarly VCI maximum highly predicated NDVI values (p = 0.0001), with moderate though significant fires impacting vegetation health. Grassland and needle leaf forests are the major land cover with relatively high fire frequency. Likely due to flammable biomass and seasonal dryness, while broad leaved closed forests displayed better fire resilience. The findings underline the need for integrated fire management strategies involving satellite monitoring, risk zonation, climate responsive planning, and community engagement to reduce fire risks in ecological sensitive area and strengthen ecosystem resilience in the Himalaya.
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Shiva Pokhrel, Sudeep Thakuri, Chandra Kanta Subedi, et al.
jabbrv-ltwa-all.ldf jabbrv-ltwa-en.ldf Spatiotemporal Impacts of Forest Fires on Mountain Vegetation: A Case Study from Langtang National Park, Nepal Himalaya. Authorea. 12 April 2025.
DOI: https://doi.org/10.22541/au.174448666.65146509/v1
DOI: https://doi.org/10.22541/au.174448666.65146509/v1
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