We describe the main features of LT variability that influence native vascular plants in the Antarctic and examine the relationship between the temperature regime at the micro-level and meteorological conditions at the macro-level. We used a period of over a year, during which 37 specialized mini-loggers recorded LT near vascular plants in the Argentine Islands–Kyiv Peninsula region of the Antarctic Peninsula. Rather than measuring standard air or soil temperature, these loggers detect the temperature near the ground, in the microhabitats that harbour vascular plants. On a daily scale, LT correlates with standard (2-m) air temperature, with the values higher at rock slopes than at rock terraces and ledges. A moderate correlation was found with wind and radiation parameters. Seasonality accounted for 75–93% of total LT variability, with better results on open rock terraces compared to protected areas and clefts. LT day-to-day variability during the cold season is mostly responsible for differences in R² of the annual cycle. We estimated daily mean LT using regression dependencies from 2-m air temperature and wind speed measured at a nearby meteorological station. R² for these statistical models varies from 0.46 to 0.68. However, they underestimate the observed LT. LT measured on rock slopes showed better modelling results with air temperature, whereas wind speed was a better predictor on rock ledges. This study contributes to our understanding of the micro-scale temperature regime that influences native vascular plants and provides a method for its rough approximation using standard meteorological parameters.

我们描述了影响南极本地维管植物的 LT 变化的主要特征，并研究了微观温度状况与宏观气象条件之间的关系。我们使用了一年多的时间，在此期间，37 个专门的小型记录器记录了南极半岛阿根廷群岛-基辅半岛地区维管束植物附近的 LT。这些记录器不是测量标准空气或土壤温度，而是检测靠近地面的温度，即维管植物生长的微生境中的温度。在日尺度上，LT 与标准（2 米）气温相关，岩石斜坡的值高于岩石梯田和壁架。发现与风和辐射参数有适度的相关性。季节性占总 LT 变异性的 75-93%，与保护区和裂缝相比，在开阔的岩石梯田上效果更好。寒冷季节 LT 的日常变化主要是造成 R ² 的年度周期。我们使用附近气象站测量的 2 米气温和风速的回归相关性来估算每日平均 LT。  这些统计模型的R ^{2从 0.46 到 0.68 不等。}然而，他们低估了观察到的 LT。在岩石斜坡上测量的 LT 显示出更好的气温建模结果，而风速是岩石壁架上更好的预测指标。这项研究有助于我们了解影响本地维管植物的微尺度温度状态，并提供一种使用标准气象参数对其进行粗略近似的方法。