The evolution of karst rocky desertification for nearly 50 years in karst mountain, Southwest China based on five cases study

A novel‐optimal monitoring model of rocky desertification based on feature space models with typical surface parameters derived from LANDSAT_8 OLI

“…The feature space models derived from various types of land surface parameters are able to consider a larger number of influencing factors (Cao et al, 2015;Qiao et al, 2021;Figures 3, 6 In addition, the remote sensing monitoring model proposed in the current study could be applied to detect the changing patterns in rocky desertification without the need for ground measurements or statistical data (Zhang et al, 2014;Zhang et al, 2021). In addition, the average precision of all the feature space monitoring index was 82.45%, which was higher than other monitoring methods (Xie, 2018;Li et al, 2019;Wen & Li, 2020; Table 3). Therefore, the proposed model is a convenient tool to realize large-scale monitoring of rocky desertification.…”

From expansion to shrinkage: Exploring the evolution and transition of karst rocky desertification in karst mountainous areas of Southwest China

“…improve karst ecosystem vulnerability to climate perturbations (Qiao et al, 2021). Ecological and industrial benefits improve the technologies and the economy in karst areas (Li, Bai, et al, 2019;Li, Li, & Luo, 2019). These factors drive the transition of KRD from expansion and slow growth to retreat, and the area of KRD will gradually decrease after a certain stage.…”

“…However, there is still a lack of systematic theory and case‐studies on the long‐term evolution process of KRD. It has been shown that from 2000 to 2010, although there was some local deterioration of KRD between 2000 and 2010, the type and area of KRD decreased in general (Xu et al, 2013); after 2010, severe KRD became the main type of change but has subsequently decreased significantly (Li, Bai, et al, 2019; Li, Li, & Luo, 2019).…”