Erodibility designates soils' vulnerability to the abrading effect of erosion's climatic drivers i.e. precipitation and overland flow. This parameter is represented in the Universal Soil Loss Equation (USLE) and its successor (RUSLE), by the respective component (K-factor). Its accurate quantification is critical for modelling soil erosion. Yet, in many countries – Greece included – the process is hindered by the lack of high-quality field observations, evenly distributed in time and space. In light of the above, the study aims to develop the new soil erodibility map of Greece. The K-factor was calculated using the algebraic expression of the Wischmeier and Smith (1978) nomograph. The latter considers basic soil properties like granulometry, soil organic matter content, structure and permeability. Approximately 2800 soil samples were utilized, deriving from the European Land Use/Cover Area frame Survey (LUCAS) and the Greek National Agricultural Research Foundation (NAGREF) databases. Of them, 577 corresponded to croplands and 2113 to forests/rangeland. Erodibility was spatially interpolated utilizing the ordinary cokriging methodology. The mean nationwide value was estimated at 0.024 t ha h ha⁻¹ MJ⁻¹ mm⁻¹, ranging from 0.013−0.044 t ha h ha⁻¹ MJ⁻¹ mm⁻¹. After incorporating the surface stone cover effect, given the country's extensive coverage, mean K-factor value was reduced by 22 %, at 0.018 t ha h ha^–1 MJ^–1 mm^–1. The new maps (500 m resolution) improve the accuracy of the available K-factor delineation, developed by the EU at pan-European level. The sample network is denser (1 sample per 48 km²) and more evenly distributed throughout the Greek territory. Also, the geostatistical model was fitted focusing entirely on the specific attributes of Greece. The results were proportional to those yielded by national and international studies of local and national interest.

可蚀性表示土壤易受侵蚀的气候驱动因素的磨蚀作用，即降水和陆地流动。该参数在通用土壤流失方程（USLE）及其后继（RUSLE）中由相应的分量（K因子）表示。它的精确定量对于模拟土壤侵蚀至关重要。但是，在许多国家（包括希腊）中，由于缺乏高质量的实地观测，而且时间和空间分布均匀，阻碍了这一过程。有鉴于此，本研究旨在制定希腊的新土壤易蚀性图。使用Wischmeier和Smith（1978）nomograph的代数表达式计算K因子。后者考虑了基本的土壤特性，例如粒度，土壤有机质含量，结构和渗透性。从欧洲土地利用/覆盖面积框架调查（LUCAS）和希腊国家农业研究基金会（NAGREF）数据库获得了大约2800个土壤样品。其中，577对应于耕地，2113对应于森林/牧场。可侵蚀性是使用普通的协同克里格方法在空间上进行插值的。全国平均价值估计为0.024吨/小时^-1 MJ ^-1 mm ^-1，范围为0.013-0.044 t ha h ha ^-1 MJ ^-1 mm ^-1。考虑到该国的广泛覆盖范围，在纳入了石材表面覆盖效果之后，平均K因子值降低了22％，为0.018 t ha h ha ^–1 MJ ^–1 mm ^–1。新地图（500 m分辨率）提高了欧盟在泛欧洲范围内开发的可用K因子轮廓的准确性。采样网络更密集（每48 km 1个采样²），并在整个希腊领土上平均分配。此外，地统计学模型完全集中在希腊的特定属性上。结果与国家和国际对地方和国家利益的研究结果成正比。