The result of tree-ring-based reconstruction of past landslide events is often the development of a single total chronology. This approach can be very effective for small homogeneous landslides. However, compiling chronological data from heterogeneous (often independent) zones of large complex landslide areas into one chronology can induce over- or underestimation of some events, resulting in lowered reliability of the reconstruction. The solution for elimination of this effect can lie in the diversification of complex landslide areas into homogeneous zones with separate analyses. The aim of this study was to quantify the effect of this separation on detected slope movement events and to define parameters whose investigation could distinguish events (sliding) from noise (creeping).

For this purpose, 412 tree-ring series from 206 disturbed common spruce (Picea abies (L.) Karst.) occupying complex landslide areas were dendrogeomorphically analysed. The landslide area was divided into five homogeneous zones using geomorphic mapping, LiDAR-based DEM and geophysical sounding (ERT). Five events (verified in individual zones) were detected in the total chronology. Two extra events in the total chronology (28.6%) were considered noise. Moreover, two zonal events were detected but not recorded in the total chronology. This indicates that the noise in the total chronology of the complex landslide area could reach more than a quarter of dated events. Next, true slide events and noise (caused by creep) were differentiated in the structure of growth disturbances (reaction wood vs. abrupt growth suppression) and their proportion in event reconstruction, spatial patterns of trees containing slope movement signals, and the character of triggers. Thus, for better filtering of noise from signals in tree-ring-based chronologies of landslides, not only observations of dendrogeomorphic index values but also the morphology of landslides and characteristics of dated processes must be considered.

基于树木年轮重建过去滑坡事件的结果通常是发展一个单一的总年表。这种方法对于小的均质滑坡非常有效。然而，将大型复杂滑坡区域的异质（通常是独立的）带的年代数据汇编成一个年代可能会导致对某些事件的高估或低估，从而导致重建的可靠性降低。消除这种影响的解决方案可以在于将复杂的滑坡区域多样化为具有单独分析的均质区域。本研究的目的是量化这种分离对检测到的斜坡运动事件的影响，并定义可以将事件（滑动）与噪声（爬行）区分开来的参数。

为此，从 206 种受干扰的普通云杉（Picea abies(L.) Karst.) 对占据复杂滑坡区的树状地貌进行了分析。使用地貌测绘、基于激光雷达的 DEM 和地球物理探测 (ERT) 将滑坡区域划分为五个均质区域。在总年表中检测到五个事件（在各个区域中验证）。总年表中的两个额外事件（28.6%）被认为是噪音。此外，检测到两个带状事件，但未记录在总年表中。这表明复杂滑坡区总年表上的噪声可达年代事件的四分之一以上。接下来，真实的滑动事件和噪声（由蠕变引起）在生长干扰的结构（反应木材与突然生长抑制）及其在事件重建中的比例、包含斜坡运动信号的树木的空间模式、以及触发器的性质。因此，为了更好地过滤基于树木年轮的滑坡年表中的信号噪声，不仅必须考虑对树木地貌指数值的观察，还必须考虑滑坡的形态和过时过程的特征。