Digital map of soil organic carbon stocks (t/ha) at 0-30 cm in the Casanare flooded savannas of the Colombian Llanos (2019)

This raster dataset represents the spatial distribution of soil organic carbon (SOC) stocks (t/ha) at 0–30 cm depth in the flooded savannas of Casanare, modeled using Digital Soil Mapping (DSM) at a spatial resolution of 12m. The map is part of the study “Modeling the spatial distribution of soil organic carbon and carbon stocks in the Casanare flooded savannas of the Colombian Llanos” (https://doi.org/10.1007/s13157-023-01705-3). Total SOC stocks in the study area were estimated at 55.07 Mt, with a mean stock density of 83.1 ± 24.3 t ha⁻¹ in the upper 30 cm of soil. Of this total, 12.3% is stored in areas experiencing prolonged flooding (semi-seasonal savannas), which account for only 7.9% of the study area (664,752 ha). Covariates derived from vegetation cover, topography, and soil properties were identified as the main drivers explaining the spatial variability of SOC stocks. Methodology:The spatial distribution of soil organic carbon (SOC) stocks at 0–30 cm depth was modeled at a spatial resolution of 12 m using an Expert Knowledge (EK)–based Digital Soil Mapping (DSM) approach implemented through the Soil Inference Engine (SIE). The model was trained with SOC measurements from 80 sampling sites at two depth intervals (0–10 and 10–30 cm) and applied across four land-cover–based mapping units. Fuzzy membership functions were used to represent SOC–landscape relationships. Environmental covariates were selected based on field observations, prior knowledge, and exploratory analyses, while non-informative categorical variables were excluded. For a detailed description of the methodology and results, see: https://doi.org/10.1007/s13157-023-01705-3.

本栅格数据集展示了卡萨纳雷泛滥稀树草原0–30 cm深度土层土壤有机碳（Soil Organic Carbon，SOC）储量（单位：吨/公顷）的空间分布，该数据集基于12米空间分辨率的数字土壤制图（Digital Soil Mapping，DSM）方法构建。
该栅格图隶属于研究论文《哥伦比亚洛斯平原卡萨纳雷泛滥稀树草原土壤有机碳及碳储量空间分布建模》（https://doi.org/10.1007/s13157-023-01705-3）。研究区总土壤有机碳储量估算为55.07百万吨，0–30 cm表层土壤的平均碳储量密度为83.1±24.3 吨/公顷。其中12.3%的碳储量存储于长期淹水区域（半季节性稀树草原），该区域仅占研究区总面积的7.9%（664752公顷）。
源自植被覆盖、地形及土壤属性的协变量被确定为解释土壤有机碳储量空间变异的主要驱动因子。
研究方法：
本研究采用基于专家知识（Expert Knowledge，EK）的数字土壤制图（DSM）方法，通过土壤推断引擎（Soil Inference Engine，SIE）实现，以12米空间分辨率对0–30 cm土层土壤有机碳储量的空间分布进行建模。模型以80个采样点在两个土层深度区间（0–10 cm和10–30 cm）获取的土壤有机碳实测数据进行训练，并基于四个基于土地覆盖的制图单元开展空间推演。研究采用模糊隶属度函数表征土壤有机碳与景观格局的关联。环境协变量的选取基于野外实地观测、先验知识及探索性分析，同时剔除无信息的分类变量。
如需了解研究方法与结果的详细信息，请参阅：https://doi.org/10.1007/s13157-023-01705-3