Forest Research and Training Center, Ministry of Forest and Environment, Kathmandu, Nepal.
Hawkesbury Institute for the Environment, Science Rd, Richmond, NSW, 2753, Australia.
Sci Data. 2023 Jun 24;10(1):406. doi: 10.1038/s41597-023-02314-9.
Given the contribution of deforestation and forest degradation to the global carbon cycle, forest resources are critical to mitigating the global climate change effects. Improved forest monitoring across different biomes is important to understand forest dynamics better and improve global projections of future atmospheric CO concentration. Better quantification of the forest carbon cycle advances scientific understanding and informs global negotiations about carbon emissions reduction. High-quality estimates of forest carbon stocks are currently scarce in many developing countries. Here, we present the most comprehensive georeferenced data set to date of plot-level forest carbon estimates for Nepal. Based on field observations from Nepal's national forest inventory of 2010-2014; the data set includes estimates for two major forest carbon pools, aboveground biomass (AGB) and soil organic carbon (SOC) stocks from 2,009 and 1,156 inventory plots, respectively. The dataset fills an important knowledge gap about forest carbon stocks in the Central Himalayas, a region with highly heterogeneous environmental conditions and rich biodiversity that is poorly represented in existing global estimates of forest carbon.
鉴于森林砍伐和退化对全球碳循环的贡献，森林资源对于缓解全球气候变化的影响至关重要。更好地监测不同生物群落的森林，有助于更好地了解森林动态，并改进未来大气 CO2 浓度的全球预测。更好地量化森林碳循环可以增进科学认识，并为全球减少碳排放的谈判提供信息。目前，许多发展中国家都缺乏高质量的森林碳储量估计。在这里，我们提供了尼泊尔迄今最全面的基于地块的森林碳估计地理参考数据集。该数据集基于尼泊尔 2010-2014 年国家森林清查的实地观测数据，包括来自 2009 个和 1156 个清查地块的两个主要森林碳库的估计值，分别为地上生物量（AGB）和土壤有机碳（SOC）储量。该数据集填补了中央喜马拉雅地区森林碳储量的重要知识空白，该地区环境条件高度异质，生物多样性丰富，但在现有的全球森林碳储量估计中代表性不足。
