Spatiotemporal variation indicators for vegetation landscape stability and processes monitoring of semiarid grassland coal mine areas

Terrestrial ecosystems are always changing due to natural and anthropogenic factors. Many studies have described the changes through landscape indicators, but landscape stability and processes are considered less in existing studies. Therefore, it is essential to establish effective indicators to detect the landscape changes and stability. In this study, three indicators were proposed to characterize the vegetation landscape stability and processes based on the system fluctuation and stability theory, which were applied to a typical semiarid grassland coal mine region. The indicators were calculated based on the normalized difference vegetation index (NDVI) time-series data griding, which characterized the NDVI central tendency, heterogeneity, and relative fluctuation in each grid through spatio-temporal analysis. The study has confirmed that the dynamic process and stability of each landscape type identified through the three indicators were in good agreement with the on-site conditions. Firstly, the natural grassland was in a macro-stable state generally. Secondly, partial regions associated with open-pit mining regions were identified as severe disturbance regions, with grassland entirely replaced by the bare land, while the grasslands surrounding were identified as mild disturbance regions, with the stability decreasing. Finally, the surface subsidence was characterized by ground surface deformation and fracture, which causes mild disturbance to the grassland landscape. However, the surface collapse, characterized by subsidence pits, has always caused grassland instability. Moreover, the reclaimed grassland is prone to deterioration and lack of stability under severe natural conditions such as drought. We suggest this study could be used to identify the stability and dynamic trend of grassland landscape.

Automated summary

This study proposes three indicators to characterize vegetation landscape stability and processes, which were applied to detect landscape changes and stability through spatio-temporal analysis. The results of the study align with on-site conditions, indicating the effectiveness of the indicators in identifying the stability and dynamic trend of grassland landscape.