Department of Soil Science, Institute of Agriculture and Animal Science, Tribhuvan University, Kirtipur, Bagmati, Nepal.
Agricultural Technology Center, Lalitpur, Bagmati, Nepal.
PLoS One. 2024 Jan 31;19(1):e0292181. doi: 10.1371/journal.pone.0292181. eCollection 2024.
Soil fertility maps are crucial for sustainable soil and land use management system for predicting soil health status. However, many regions of Nepal lack updated or reliable soil fertility maps. This study aimed to develop the soil fertility map of agricultural areas in Resunga Municipality, Gulmi district of Nepal using the geographical information system (GIS) technique. A total of 57 composite geo-referenced soil samples from the depth (0-20 cm) were taken from the agricultural land of an area of 52 km2. Soil samples were analyzed for their texture, pH, organic matter, total nitrogen, available phosphorous, available potassium, available boron, and available zinc. These parameters were modelled to develop a soil quality index (SQI). Using the kriging tool, obtained parameters were interpolated and digital maps were produced along with soil quality and nutrient indices. The result showed that the study area lies within the fair (0.4 to 0.6) and good (0.6 to 0.8) range of SQI representing 96% and 3% respectively. Soil organic matter and nitrogen showed moderate variability exhibiting a low status in 95% and 86% of the total study area. Phosphorous and potassium showed medium status in 88% and 75% of the study area, respectively. Zinc was low and boron status was medium in most of the area. To maintain soil fertility is by improving the rate of exogenous application of fertilizers and manures. The application of micronutrients like boron and zinc is highly recommended in the study area along with organic manures. The soil fertility map can be used as a baseline for soil and land use management in Resunga Municipality. We recommend further studies to validate the map and assess the factors affecting soil fertility in this region. Soil fertility maps provide researchers, farmers, students, and land use planners with easier decision-making tools for sustainable crop production systems and land use management systems.
土壤肥力图对于预测土壤健康状况的可持续土壤和土地利用管理系统至关重要。然而,尼泊尔许多地区缺乏最新或可靠的土壤肥力图。本研究旨在利用地理信息系统(GIS)技术,为尼泊尔古尔米地区雷松加市的农业区绘制土壤肥力图。共从 52 平方公里的农业用地上采集了 57 个复合地理参考土壤样本,深度为(0-20 厘米)。对土壤样本的质地、pH 值、有机质、全氮、有效磷、有效钾、有效硼和有效锌进行了分析。对这些参数进行建模以开发土壤质量指数(SQI)。使用克里金工具对获得的参数进行插值,并生成数字地图以及土壤质量和养分指数。结果表明,研究区位于 SQI 的良好(0.6 至 0.8)范围内,占 96%,代表 3%的为中等(0.4 至 0.6)。土壤有机质和氮表现出中等变异性,在总研究区的 95%和 86%中表现出低水平。磷和钾在研究区的 88%和 75%中分别表现为中等水平。锌在大部分地区较低,硼处于中等水平。保持土壤肥力的方法是提高化肥和有机肥的施用量。建议在研究区施用硼和锌等微量元素以及有机肥。该土壤肥力图可作为雷松加市土壤和土地利用管理的基准。我们建议进一步研究以验证该地图并评估该地区影响土壤肥力的因素。土壤肥力图为研究人员、农民、学生和土地利用规划者提供了更简单的决策工具,用于可持续的作物生产系统和土地利用管理系统。