The knowledge of spatial distribution of landslide events is crucial from forest management, landscape planning or hazard assessment point of view. Dendrogeomorphic approaches are actually a suitable tool for construction of past landslide behaviour due to known position of sampled trees. The position of trees on the landslide surface can influence the detection of the spatial patterns of landslide reactivation and considerably influence the amount and intensity of recorded landslide signals within tree ring series. This fact is caused by the presence of various morphological zones with different movement mechanisms that create landslide bodies.

This study used tree ring data from 1030 tree ring series coming from 515 trees (Picea abies (L.) Karst.: 482; Larix decidua L.: 33) occupying ten different complex landslides in the Outer Western Carpathians to test the spatial distribution of landslide signals during reactivation events. Next, specific effects of six different landslide morphological zones on tree growth was studied to detect the most valuable sites for future sampling on landslide surfaces. The analysis of spatial patterns can be used as a rigorous indicator for landslide events in the case of a limited number of tree ring signals. Thus, the spatial patterns of landslide reactivations were tested using the Moran index. Moreover, this analysis is suitable only for block-type landslides (not for flow-like landslides). Next, this study presents a general model of the movement mechanism effect on tree growth in individual morphological zones creating complex landslide surfaces. Finally, based on the obtained results, recommendations for future sampling strategies regarding the position of trees within specific morphological zones are presented. Generally, trees on subhorizontal landslide blocks or in the zone of plastic shallow movement should be preferred in contrast to trees on the steep parts of landslides or in the source zone, which should be avoided.

从森林管理，景观规划或灾害评估的角度来看，滑坡事件的空间分布知识至关重要。由于采样树的已知位置，树状变体方法实际上是构造过去滑坡行为的合适工具。树木在滑坡表面上的位置会影响滑坡重新激活的空间格局的检测，并在很大程度上影响树环序列内记录的滑坡信号的数量和强度。这个事实是由于存在各种形成滑坡体的运动机制不同的形态学带而引起的。

这项研究使用了来自515棵树的1030个树轮系列的树轮数据（Picea abies（L.）Karst .: 482; Larix deciduaL.：33）在西喀尔巴阡山脉西部地区占领了十个不同的复杂滑坡，以测试重新激活事件期间滑坡信号的空间分布。接下来，研究了六个不同的滑坡形态带对树木生长的特定影响，以检测出最有价值的站点，以便将来在滑坡表面进行采样。在树环信号数量有限的情况下，空间模式分析可用作滑坡事件的严格指示。因此，使用Moran指数测试了滑坡恢复的空间格局。此外，该分析仅适用于块状滑坡（不适用于类似流动的滑坡）。接下来，本研究提出了在形成复杂滑坡表面的单个形态学区域中运动机制对树木生长的影响的一般模型。最后，根据获得的结果，提出了有关特定形态区域内树木位置的未来采样策略的建议。通常，与在滑坡陡峭部分或源区中的树木相反，应优先选择在水平以下滑坡块上或塑性浅运动区域中的树木。