Kandel Durga, Timilsina Sachin, Ayer Santosh, Chaudhary Saroj Kumar, Gautam Jeetendra, Adhikari Rabindra, Bhatta Kishor Prasad
Department of Soil and Watershed Management, Institute of Forestry, Tribhuvan University, Pokhara Campus, Pokhara 33700, Nepal.
Department of Forest Biometrics, College of Natural Resource Management (CNRM), Agriculture and Forestry University, Katari 56310, Nepal.
Scientifica (Cairo). 2024 Nov 15;2024:1739115. doi: 10.1155/2024/1739115. eCollection 2024.
Assessment of soil organic carbon (SOC) stock and soil quality for informed forest management is hindered by inadequate data across different forest stand types and management regimes. Therefore, this study was conducted to assess SOC stock and soil quality in two forest stand types, i.e., (Sal) forest and Terai mixed hardwood (TMH) forest, and selected forest management regimes (leasehold forest, community forest, government-managed forest, and forest area under protected area) in Terai region of Nepal. Stratified random sampling method was adopted for soil sample collection across terai region following Forest Resource Assessment, Nepal. Altogether, 62 composite soil samples from 30 cm depth were taken from the entire Terai region which included these two forest stand types and four management regimes. Different physical (soil texture and bulk density) and chemical (pH, SOC (%), total nitrogen, available phosphorus, and available potassium) properties were analyzed to calculate SOC stock and soil quality. Our result found no significant differences in SOC stock among two forest stand types ( > 0.05). Unexpectedly, leasehold forest had significantly ( < 0.05) higher SOC stock than other forest management regimes. In terms of soil quality, among two forest stand types, Sal forest (0.50) was found to be superior compared with TMH forest (0.46). Similarly, community forest had superior soil quality (0.50) than government-managed forest (0.47), protected area (0.47), and leasehold forest (0.45). A longitudinal study approach is recommended to observe changes in soil properties over time due to climate change and human activities, offering valuable insights into their dynamics.
由于不同林分类型和管理方式的数据不足,阻碍了为明智的森林管理而对土壤有机碳(SOC)储量和土壤质量进行评估。因此,本研究旨在评估尼泊尔特莱地区两种林分类型,即娑罗双树林和特莱混交硬木林,以及选定的森林管理方式(租赁林、社区林、政府管理林和保护区内的林区)的土壤有机碳储量和土壤质量。根据《尼泊尔森林资源评估》,在特莱地区采用分层随机抽样方法采集土壤样本。总共从整个特莱地区采集了62个深度为30厘米的混合土壤样本,其中包括这两种林分类型和四种管理方式。分析了不同的物理性质(土壤质地和容重)和化学性质(pH值、土壤有机碳含量(%)、总氮、有效磷和有效钾),以计算土壤有机碳储量和土壤质量。我们的结果发现,两种林分类型之间的土壤有机碳储量没有显著差异(>0.05)。出乎意料的是,租赁林的土壤有机碳储量显著高于其他森林管理方式(<0.05)。在土壤质量方面,在两种林分类型中,发现娑罗双树林(0.50)比特莱混交硬木林(0.46)更优。同样,社区林的土壤质量(0.50)优于政府管理林(0.47)、保护区(0.47)和租赁林(0.45)。建议采用纵向研究方法来观察由于气候变化和人类活动导致的土壤性质随时间的变化,从而深入了解其动态变化。