To date, explicit accounting for direct human or natural influences is often hampered by an incomplete understanding of the processes and limited observational data. There are, however, first studies demonstrating the potential of detailed process-based or empirical modelling that explicitly accounts for known variations in direct human or natural drivers and separate their effects from the ones induced by changes in the climate-related systems. Examples are Butler et al.  for the separation of growing season adjustments from within growing season climate effects on US crop yields; Wang and Hijmans  separating effects of shifts in land use from climate effects; Jongman et al. ; Formetta and Feyen  and Tanoue et al.  for the separation of changes in exposure and vulnerability from climate effects on river floods; Kirchmeier-Young et al.  for wildfire attribution; and Venter et al.  for the attribution of ecosystem structural changes to climate change versus other disturbances.
IPCC
Climate Change 2022: Impacts, Adaptation and Vulnerability
IPCC Report