重庆市公里格网植被保持土壤肥力氮、磷、钾含量数据(2010)

包含重庆市2010年公里格网植被生态系统保持土壤肥力氮、磷、钾含量，空间分辨率为1km，时间分辨率为年。将降水数据经过降水降尺度处理，数据分辨率为1km。基于arcgis工具利用DEM提取坡长、坡度因子，基于三峡库区中部涪陵区的径流小区观测得到的降雨侵蚀力回归模型计算降雨侵蚀力，通过土壤类型提取土壤可蚀性因子等，在arcigis10.2工具箱里，使用栅格计算器计算得到，具体算法如下所示:Q固土=R•K•LS•(1-C•P)；LS为坡长-坡度因子，无量纲；Q固土为生态系统的土壤保持量，单位:t/a；R为通用土壤方程中的降雨侵蚀力因子，单位:MJ·mm/hm2·h·a;K为土壤可蚀性因子，无量纲；C为植被覆盖与管理因子，无量纲；P为水土保持措施因子，无量纲；QN=N•Q固土；QP=P•Q固土；QK=K•Q固土；QN、QP、QK为减少的氮、磷、钾流失量，单位:t/a；Q固土为生态系统的土壤保持量，单位:t/a；N、P、K分别为区域内土壤中的氮、磷、钾含量，单位:%

This dataset contains annual 1-kilometer spatial resolution grid data of nitrogen (N), phosphorus (P), and potassium (K) contents in soil fertility maintained by vegetation ecosystems in Chongqing Municipality in 2010. Precipitation data was downscaled to a spatial resolution of 1 km. Slope length and slope steepness factors (LS) were extracted from Digital Elevation Model (DEM) using ArcGIS tools. Rainfall erosivity (R) was calculated using a regression model for rainfall erosivity developed based on runoff plot observations in Fuling District, central Three Gorges Reservoir Area. Soil erodibility factor (K) was extracted based on soil type data, with other relevant factors processed accordingly. All calculations were conducted using the Raster Calculator tool in the ArcGIS 10.2 toolbox. The specific computational formulas are as follows: $$Q_{ ext{soil conservation}} = R cdot K cdot LS cdot (1 - C cdot P)$$ Where $LS$ is the slope length-slope steepness factor (dimensionless); $Q_{ ext{soil conservation}}$ is the soil conservation amount of the ecosystem, with the unit of t/a; $R$ is the rainfall erosivity factor in the Universal Soil Loss Equation (USLE), with the unit of $ ext{MJ·mm}/( ext{hm}^2· ext{h}· ext{a})$; $K$ is the soil erodibility factor (dimensionless); $C$ is the vegetation cover and management factor (dimensionless); $P$ is the soil and water conservation practice factor (dimensionless). Additionally, $$Q_N = N cdot Q_{ ext{soil conservation}}$$ $$Q_P = P cdot Q_{ ext{soil conservation}}$$ $$Q_K = K cdot Q_{ ext{soil conservation}}$$ Where $Q_N$, $Q_P$, and $Q_K$ represent the reduced nitrogen, phosphorus, and potassium losses respectively, with the unit of t/a; $N$, $P$, and $K$ are the contents of nitrogen, phosphorus, and potassium in the regional soil, respectively, with the unit of %.