Detection and attribution of dryland vegetation changes to socioenvironmental system drivers in Kazakhstan
Inferential multi-stage multi-model framework to detect vegetation degradation
- Small ruminant and horse density explained 35% of vegetation degradation
- Increasing trends in hotspots of livestock density in the south-central and southeastern regions, whereas medium-density clusters in the northern and northwestern regions of KZ.
- Socioeconomic driver impacts were amplified when interacting with environmental drivers.
- Remote sensing combined with gridded socioeconomic data helps quantify anthropogenic impacts on vegetation degradation
