Abstract
Soil organic carbon (SOC) plays a crucial role in global carbon cycling. The amount of SOC is influenced by many factors (climate, topography, forest type, forest disturbance, etc.). To investigate this potential effect, we performed a multiple regression model using six different predictor variables in the third national-level forest resource assessment data of Nepal. We found a significant correlation between the SOC and altitude (r = 0.76) followed by crown cover and slope. The altitude alone explains r2 = 58 percent of the variability of the SOC and shows an increasing rate of change of SOC with the increase of altitude. Altitude was identified as a suitable predictor of SOC for large areas with high altitudinal variation followed by crown cover and slope. Increasing amounts of SOC with increasing altitude shows the significance of high-altitude forests in the perspective of climate change mitigation. Altitude, a proxy of temperature, provides insights into the influence of changing temperature patterns on SOC due to future climate change. Further study on forest types and SOC along the altitudinal gradient in Nepal is recommended to deal with the climate change problem in the future.
Funder
Deutsche Forschungsgemeinschaft
Reference86 articles.
1. IPCC Good Practice Guidance for Land Use, Land-Use Change and Forestry,2003
2. A segregated assessment of total carbon stocks by the mode of origin and ecological functions of forests: Implication on restoration potential;Neupane;Int. For. Rev.,2017
3. Organic and inorganic carbon in the topsoil of the Mongolian and Tibetan grasslands: pattern, control and implications
4. Light and Heavy Fractions of Soil Organic Matter in Response to Climate Warming and Increased Precipitation in a Temperate Steppe
5. Soil Carbon Storage: Modulators, Mechanisms and Modeling;Singh,2018
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