In addition to filling data gaps, the mechanistic realism of our approach could be increased by considering interactions between community processes and between human impacts, as well as increased consideration of linkages and flows between ecosystems. For example, interactions between community processes can modify the effect of global change drivers, as has been found in experiments and models incorporating both competition and drift (Chesson 2000; Orrock & Watling 2010; Gilbert & Levine 2017), as well as experiments on the relative role of dispersal and selection (Ron et al. 2018). In addition, we focus primarily on the effects of single human impacts, though we recognize that these drivers interact in nature (Settele & Wiemers 2015). For example, invasive species are often positively affected by global change, such as increases in temperature or land use intensification (Occhipinti-Ambrogi 2007; Hellmann et al. 2008; Eisenhauer et al. 2012). Finally, many of the ecosystem processes depend to some extent on linkages between the systems, such as flows of nutrients and organisms between land, rivers and lakes (Soininenet al. 2015). For example, dispersal of many freshwater insects depends on adult forms that fly (Bilton et al. 2003). Furthermore, transport of nutrients and pollutants between freshwater and terrestrial systems is known to affect populations in both systems (Kraus 2019; Kraus et al. 2021). As linkages between systems may be affected by global change drivers (Kraus 2019; Johnson et al.2021; Kraus et al. 2021), their role should be more fully addressed in future developments of the proposed approach.