Landsliding is a major natural hazard; therefore, understanding its activity is an important objective worldwide. For the investigation of the current landslide events, dendrogeomorphic methods are commonly used as they allow quite a precise dating of individual events. Nevertheless, there is still a question of whether dendrogeomorphic methods can successfully work for landslides with low-magnitude movements. To determine their usability and shortcomings, four commonly used dendrogeomorphologic approaches were put to the test: Approach I is based on the detection of abrupt growth suppression; Approach II is focused on the determination of compression wood; and Approaches III and IV that work with eccentric increments. For the detection of landslide events itself, I_t index thresholds and spatial statistics were used. In total, 329 individuals Picea abies (L.) Karst. Growing on a seemingly dormant landslide in the Outer Western Carpathians were sampled and processed. Overall, obtained landslide chronologies varied considerably although the same trees were used, which allowed pinpointing of the main limitations of each approach. Approach I showed a high sensitivity to water shortages, causing false noise signals. Approach II was not sensitive enough to low-magnitude movements. In contrast, Approaches III and IV recorded many possible landslide events, but most of the events were just noise signals induced by creep movements (and non-geomorphological influences). These conditions made it impossible to filter the real landslide events based on I_t index thresholds; however, as a substitute, spatial statistics combined with a detailed analysis of real landslide morphology were successfully used. Last but not least, a sensitivity of trees to record possible landslide movements in various stages of their lives was analysed for each approach. Except for Approach IV, all approaches showed high variability in changing sensitivity during a tree's life; thus, during a certain period of the tree's growth, landslide events can hardly be detected. All things considered, findings in our study are crucial for the strategy of the dendrogeomorphic sampling conducted on landslides with low-magnitude movements.

滑坡是主要的自然灾害；因此，了解其活动是全世界的重要目标。为了调查当前的滑坡事件，通常使用树状地貌方法，因为它们可以对各个事件进行精确的测年。然而，仍然存在树状地貌方法是否可以成功地应用于低震级滑坡的问题。为了确定它们的可用性和缺点，对四种常用的树突地理形态学方法进行了测试：方法I基于检测突然生长的抑制；方法二侧重于压缩木材的测定。以及以偏心增量工作的方法III和IV。对于检测的滑坡事件本身，我_牛逼使用指数阈值和空间统计数据。共有329个人的Picea abies（L.）Karst。在西喀尔巴阡山脉外围看似休眠的山体滑坡上进行了采样和处理。总体而言，尽管使用了相同的树木，但获得的滑坡时间顺序差异很大，这可以精确指出每种方法的主要局限性。方法I对缺水表现出很高的敏感性，会引起虚假的噪声信号。方法二对低幅运动不够敏感。相反，方法III和方法IV记录了许多可能的滑坡事件，但大多数事件只是蠕变运动（和非地貌影响）引起的噪声信号。这些条件使得无法基于I _t过滤真实的滑坡事件指数阈值；然而，作为替代，成功地使用了空间统计和对真实滑坡形态的详细分析相结合的方法。最后但并非最不重要的一点是，针对每种方法分析了树木记录其生命各个阶段中可能发生的滑坡运动的敏感性。除方法IV外，所有方法在树的生命过程中均显示出变化的敏感性高的可变性。因此，在树木生长的一定时期内，几乎无法检测到滑坡事件。考虑到所有因素，我们的研究结果对于在低震级滑坡上进行树状地貌采样的策略至关重要。